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  • wiml
  • October 28, 2016

The 2019 WiML Workshop will be held on Monday, Dec 9th, 2019 in Vancouver, Canada. Workshop activities primarily take place in Vancouver Convention Center East Exhibition Hall C, with the exception of the poster sessions which will take place in Vancouver Convention Center East Exhibition Hall B.

A pre-workshop reception will be held the night of Sunday, Dec 8th, 2019 from 7:30pm to 10:00pm in the Pinnacle Ballroom, Vancouver Marriott Pinnacle Downtown Hotel, 1128 W Hastings St, Vancouver, BC, V6E 4R5. Separate advance registration is required for the reception (see Eventbrite), and there won’t be onsite registration.

All participants are required to abide by the WiML code of conduct.

The full program book for WiML 2019 is now available at
http://tiny.cc/WiMLprogrambook

Schedule

The program will include the following line-up of invited speakers:

2019 Invited Speakers
Sunday, December 8, 2019
Time Event
7:30 pm – 10:00 pm Pre-Workshop Reception (Optional – Separate registration required)
Monday, December 9, 2019
Time Event
7:00 am – 8:25 am Registration & Breakfast
8:25 am – 8:35 am Opening Remarks – WiML organizers
8:35 am – 8:50 am WiML D&I Chairs Remarks – Rachel Thomas and Sinead Williamson
8:50 am – 9:20 am Invited talk – Dawn Song
9:20 am – 9:30 am Contributed talk 1 – Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance, Kimia Nadjahi
9:30 am – 9:40 am Contributed talk 2 – Online Agnostic Boosting, Xinyi Chen
9:40 am – 9:50 am Contributed talk 3 – DropCluster: A structured dropout for convolutional networks, Liyan Chen
9:50 am – 10:25 am Coffee break
10:25 am – 10:40 am WiML President Remarks – Sarah Osentoski
10:40 am – 11:10 am Invited talk – Xanda Schofield
11:10 am – 11:20 am Contributed talk 4 – Investigating Multilingual NMT Representations at Scale, Sneha Kudugunta
11:20 am – 11:30 pm Contributed talk 5 – Enhancing Adversarial Example Transferability with an Intermediate Level Attack, Qian Huang
11:30 am – 1:15 pm Lunch + Mentorship Roundtables
1:15 pm – 2:45 pm WiML+ Black in AI Joint Poster Session
2:45 pm – 2:55 pm Contributed talk 6 – Adversarial Manipulation of Attention-based Explanations, Mansi Gupta
2:55 pm -3:05 pm Contributed talk 7 – Selection Bias Invalidates Fairness, Margarita Boyarskaya
3:05 pm – 3:35 pm Invited talk – Kathy Baxter
3:35 pm – 4:00 pm Coffee break
4:00 pm – 4:10 pm Contributed talk 8 – Way Off-Policy Deep Reinforcement Learning of Implicit Human Preferences in Dialog, Asma Ghandeharioun
4:10 pm – 4:40 pm Invited talk – Ashley Edwards
4:40 pm – 4:45 pm Closing remarks
4:45 pm — 5:00 pm Break
5:00 pm – 6:30 pm NeurIPS program
6:30 pm – 8:00 pm Joint Affinity Groups Poster Session

 

Mentorship Tables

This year we have three types of mentorship roundtables: Research roundtables (Tables 1–21), Career and Life Advice roundtables (Tables 22–41), and Sponsor roundtables (Tables 42–60).

Monday, December 9: 11:30 am – 1:15 pm

Topics subject to change.

Research Roundtables

Table 1: Reinforcement learning I – Ashley Edwards (Uber AI Labs) Table 2: Reinforcement learning II – Feryal Behbahani (DeepMind), Gergely Neu (Universitat Pompeu Fabra)
Table 3: Deep learning I– Yann LeCun (Facebook and NYU), Yarin Gal (University of Oxford) Table 4: Deep learning II– Raia Hadsell (DeepMind), Tim Rocktäschel (Facebook AI Research and University College London)
Table 5: Bayesian methods and optimization – Isabel Valera (Max Planck Institute for Intelligent Systems), Benjamin Bloem-Reddy (University of British Columbia) Table 6: Learning theory – Cynthia Rush (Columbia University), Alina Beygelzimer (Yahoo Research)
Table 7: Robotics – Sarah Osentoski (Iron Ox), Shiva Shahrokhi (Expedia Group) Table 8: Natural language processing – Xanda Schofield (Harvey Mudd College)
Table 9: Computer vision – Negar Rostamzadeh (Element AI), Tejumade Afonja (Saarland University) Table 10: Fairness in machine learning – Hanna Wallach (Microsoft), Anna Bethke (Intel)
Table 11: Accountability and ethics in machine learning – Kathy Baxter (Salesforce) Table 12: Human-AI interaction and collaboration – Jennifer Healey (Adobe), Cristina Segalin (Disney Research)
Table 13: Social science applications – Dhanya Sridhar (Columbia University), Celeste Kidd (University of California Berkeley) Table 14: Systems and machine learning – Margo Seltzer (University of British Columbia), Neil Lawrence (University of Cambridge)
Table 15: Recommender systems – Farheen Omar (Microsoft), Justin Basilico (Netflix) Table 16: Causal inference and counterfactuals – Sara Magliacane (MIT and IBM Watson AI Lab), Eytan Bakshy (Facebook)
Table 17: Interpretability and explainability in machine learning – Been Kim (Google Brain), Bob Williamson (Australian National University) Table 18: Neuroscience – Alona Fyshe (University of Alberta), Tejaswini Narayanan (University of California San Diego)
Table 19: Reproducibility in machine learning – Joelle Pineau (McGill and Facebook), D. Sculley (Google) Table 20: Healthcare and clinical applications – Jessica Schrouff (Google Health), Nicolo Fusi (Microsoft Research)
Table 21: Time series – Nesime Tatbul (Intel Labs and MIT)

 

Career and Life Advice Roundtables

Table 22: Work-life balance (industry) – Pallika Kanani (Oracle Labs), Busra Celikkaya (AWS) Table 23: Work-life balance (academia) – Katherine Kinnaird (Smith College), Michael Littman (Brown University)
Table 24: Life with kids – Gintare Karolina Dziugaite (Element AI), Emily Fox (University of Washington, Apple) Table 25: Solving the two-body problem – Angel Xuan Chang (Simon Fraser University), Leila Wehbe (Carnegie Mellon University) 
Table 26: Getting a job (industry) – Keren Gu-Lemberg (DeepMind), Ghazal Fazelnia (Spotify) Table 27: Getting a job (academia) – Chelsea Finn (Stanford), Hugo Larochelle (Google)
Table 28: Doing a postdoc – Golnoosh Farnadi (Mila), Celestine Mendler-Dünner (University of California Berkeley) Table 29: Doing research in industry – Naila Murray (Naver Labs Europe), Lauren Hannah (The Voleon Group)
Table 30: Choosing between academia and industry – Noura Al Moubayed (Durham University), Mehran Kazemi (Borealis AI) Table 31: Keeping up with academia while in industry – Nidhi Hegde (Borealis AI), Katherine Heller (Duke University and Google)
Table 32: Non-traditional paths to machine learning – Meghana Bhimarao (Kaiser Permanente) Table 33: Mental health in grad school – Diana Cai (Princeton University), Ehi Nosakhare (Microsoft)
Table 34: Seeking funding (fellowships and grants) – Sarah Tan (Facebook), Hal Daumé III (University of Maryland and Microsoft Research)   Table 35: Establishing collaborations – Rose Yu (Northeastern University)
Table 36: Building your professional brand – Hema Raghavan (Linkedin), Nuria Oliver (Data-Pop Alliance, Vodafone Institute and Royal Academy of Engineering) Table 37: Finding mentors throughout your career – Martha White (University of Alberta), Mohammad Emtiyaz Khan (RIKEN AIP,Tokyo)
Table 38: Founding and funding startups – Deborah Hanus (Sparrow), Rachel Thomas (fast.ai and University of San Francisco) Table 39: Scientific communication – Katherine Gorman (Talking Machines, NeurIPS org com, Collective Next ), Savannah Thais (Princeton University)
Table 40: Surviving graduate school – Anna Koop (Alberta Machine Intelligence Institute and University of Alberta) Table 41: Networking – Jo-Anne Ting (Arundo Analytics Inc.), Nicolas Papernot (University of Toronto and Vector Institute)

 

Sponsor Roundtables

Table 42: Internships @ Apple – Karla Vega (Apple), Tricia Green (Apple)  Table 43: QuantumBlack’s Approach to Reproducible Machine Learning – Yetunde Dada (QuantumBlack)
Table 44: Careers @ IBM – Aya Soffer (IBM), Farzaneh Mirzazadeh (IBM), Ioana Baldini (IBM) Table 45: Facebook Offers Ways to Manage Gender Bias and Stereotypes throughout your Research Career –  Kavya Srinet (Facebook)
Table 46: RL + RL: Reinforcement Learning and Representation Learning @ DeepMind – Irina Higgins (DeepMind), Hado van Hasselt (DeepMind), Antonia Creswell (DeepMind) Table 47: Careers @ Google – Kate Callahan (Google), Kathryn Rosseau (Google)
Table 48: Career Development in Industry: What Does It Mean to Be an Applied Scientist @ Amazon?– Alice Zheng (Amazon) Table 49: ML and AI Residency @ Shell – Asiya Kudarova (Shell), Mohamed Sidahmed (Shell)
Table 50: Machine Learning Research @ Splunk – Kristal Curtis (Splunk) Table 51: AI Careers @ Unity – Stef Matsudaira (Unity)
Table 52: ML @ Twitter: Having a Real Impact in the World –  Ari Font (Twitter), Zehan Wang (Twitter) Table 53: Machine Learning and AI @ Nvidia – Anima Anandkumar (Nvidia)
Table 54: Careers @ Microsoft – Raluca Georgescu (Microsoft), Chris Bishop (Microsoft) Table 55: Disruptive leadership – Lessons from Venture Capital & Silicon Valley on Overturning Entrenched Industries @ Intel –  Abigail Hing Wen (Intel)
Table 56: NOODLE.AI: Careers Creating Radical Efficiency with AI – Siva Devarakonda (NOODLE.AI), Jenn Gamble (NOODLE.AI) Table 57: Innovative Machine Learning @ Credit Karma  – Agrima Bahl (Credit Karma), Wei Huo (Credit Karma)
Table 58: Spotify’s Internal Efforts to Support Women in Tech – Kelly Hopley (Spotify) Table 59: Meet Your Allies @ Yahoo Research – Joao Soares (Yahoo Research), Simao Herdade (Yahoo Research)
Table 60: ML Careers @ Qualcomm – Aine Shivnan (Qualcomm), Sangeetha Marshathalli Siddegowda (Qualcomm)

List of Accepted Posters

All participants are required to abide by the WiML code of conduct.

Afternoon Poster Session
Paper Title Authors
Quark Gluon Plasma and Cold Nuclear Matter modification of Υ states in ultra-relativistic heavy-ion collisions Santona Tuli (UC Davis and CMS Collaboration, CERN)*
ORIN: The Nigerian music database for the automatic music genre classification with Machine Learning Models Sakinat O Folorunso (Olabisi Onabanjo university)*
Eye corners tracking for head movement estimation Agostina Larrazabal (CONICET / Universidad Nacional del Litoral)*; Cesar Martinez (CONICET / Universidad Nacional del Litoral)
Boosted Siamese Network for Large-Scale Classification Tong Jian (Northeastern University)*; Stratis Ioannidis (Northeastern University)
Brain Segmentation Using Adversarial Learning Shivangi Aneja (Technical University Of Munich)*
Understanding Generalization in Deep Learning via Tensor Methods Jingling Li (UMD)*; Yanchao Sun (University of Maryland, College Park); Liu Ziyin (University of Tokyo); Taiji Suzuki (The University of Tokyo / RIKEN); Furong Huang (University of Maryland)
Generative and Multi-phase Learning for Computer Systems Optimization Yi Ding (The University of Chicago)*; Nikita Mishra (The University of Chicago); Henry (Hank) Hoffmann (The University of Chicago)
Comparing Supervised and Unsupervised Evaluation Metrics to Evaluate GAN-Generated Images Sasha Luccioni (Mila)*; Sharon Zhou (Stanford University)
Machine Learning Techniques to Predict Diabetes in indigenous village no Pantanal, Brazil. Marcia Ferreira Cristaldo (Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul)*; Leandro de Jesus (IFMS); Pablo Salomão (Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul); Elitania de Oliveira (Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul )
Monotonic Gaussian Process Flow and Compositional Uncertainty Ieva Kazlauskaite (University of Bath)*; Ivan Ustyuzhaninov (University of Tübingen); Carl Henrik Ek (University of Bristol); Neill Campbell (University of Bath)
Adversarial Attacks and Defenses for Generative Models Rishika Agarwal (University of Illinois Urbana Champaign)*; Sanmi Koyejo (Illinois/Google)
Exploration via Hierarchical Meta Reinforcement Learning Riya Sharma (Technical University Munich)*; Navneet M Kumar (TU Munich)
Sparse Tropical Matrix Factorization Amra Omanović (University of Ljubljana, Faculty of Computer and Information Science)*; Polona Oblak (University of Ljubljana, Faculty of Computer and Information Science); Tomaž Curk (University of Ljubljana)
RGB-D Object Recognition Using Deep Convolutional Neural Networks Buket Yüksel (Koç University)*
Automatic Summarization Model on Biomedical Papers and MeSH Tagged Concepts Li-ting Tang (National Cheng Kung University)*; Hung-Yu Kao (National Cheng Kung University)
Recognition of shape for Preschoolers Eluwumi F Buraimoh (University of Witwatersrand,Johannesburg)*
Democratizing State of the Art NLP using Parameter Efficient Multitask Learning with Adapter Layers Joy Rimchala (Intuit)*; Tharathorn Joy Rimchala (Intuit)
Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning Arissa Wongpanich (UC Berkeley)*; Yang You (UC Berkeley); James W Demmel (UC Berkeley)
Evaluating Saliency Maps Using Interventions Akanksha Atrey (University of Massachusetts Amherst)*; Kaleigh Clary (University of Massachusetts); David Jensen (University of Massachusetts Amherst)
Algebraic Mathematical Word Problem Generation using Neural Language Generation Models Vijini K Liyanage (University of Moratuwa)*; Surangika Ranathunga (University of Moratuwa)
Towards Artificial Intelligence for Enhancing Quality of Education Frehiwot Gebrkrstos Girmay (Aksum university)*
Improving Healthcare Outcomes with Machine Learning – Stroke, a case study Priya Kumari (Optum); Rebecca S Dysthe (Optum)*
Adversarial Robustness Curves Christina Göpfert (CITEC)*; Jan Philip Göpfert (Bielefeld University); Barbara Hammer (CITEC, Bielefeld University)
Triplet-Aware Scene Graph Embeddings Brigit Schroeder (University of California Santa Cruz)*; Subarna Tripathi (Intel AI Lab); Hanlin Tang (Intel Corporation)
Deep Neural Network Model Compression Talotsing T Megouo (African Institute For Mathematical Science)*
Uncertainty-Aware Deep Temporal Asymmetric Multi-task Learning Hyewon Jeong (KAIST)*; Tuan Anh Nguyen (KAIST); Eunho Yang (KAIST); Sung Ju Hwang (KAIST)
Engagement and learning effectiveness: an explorative study with multimodal data in online learning environment Shimeng Peng (Nagoya university)*; Lujie Chen (CMU); Fangli Xu (Squirrel AI Learning); KP Thai (Yixue); Richcard Tong (Squirrel AI Learning)
CodeCaption: A dataset for captioning data science code Ioana Baldini (IBM Research)*; Kavitha Srinivas (IBM Research); Jiri Navratil (IBM Research)
Historical image captioning Iryna Kostyshyn (Ukrainian Catholic University)*; Kostiantyn Liepieshov (Ukrainian Catholic University); Oles Dobosevych (Ukrainian Catholic University)
Zone-DR: Discovery Radiomics via Zone-level Deep Radiomic Sequencer Discovery for Zone-based Prostate Cancer Grading using Diffusion Weighted Imaging Linda Wang (University of Waterloo)*; Chris Dulhanty (University of Waterloo)
Efficient Coding for Learned Source Compression Putri A van der Linden (University of Amsterdam)*; Karen Ullrich (University of Amsterdam)
Representation learning with deep convolutional neural network for clinical diagnosis in raw mass spectrometry-based data Khawla seddiki (University Laval)*
Active Feature Elicitation Sriraam Natarajan (UT Dallas); Srijita Das (UNIVERSITY OF TEXAS AT DALLAS)*; Nandini Ramanan (UNIVERSITY OF TEXAS AT DALLAS); Gautam Kunapuli (UT Dallas); Predrag Radivojac (Northeastern University)
Deep Convolutional Neural Networks for Genome and Brain-Wide Molecular Neuroanatomy Pegah Abed-Esfahani (CAMH)*; Benjamin Darwin (SickKids); Jenny Yin (CAMH); Sean Hill (CAMH, University of Toronto); Jason Lerch (SickKids, University of Oxford); Leon French (CAMH, University of Toronto)
Model Compression for optimized AI on the edge sangeetha marshathalli siddegowda (Qualcomm Research)*
AdaBoost-Models Ensemble Learning to forecast Time series with high variance and nonlinear Trend Belona Mary SONNA MOMO (AIMS)*
Predicting the aircraft engine’s health condition using classification algorithms and demonstrating the model performance measures Oishi Deb (Aston University, Rolls-Royce, Sky)*
Analysis of Computation Resource Usage of Deep Learning Models on Breast Histopathology Images Classification Task Sadura Priscilla Akinrinwa (The Federal University of Technology, Akure)*; Stephen Oni (Federal University of Technology, Akure)
AFAR: A Deep Learning Based Tool for Automated Facial Affect Recognition Itir Onal Ertugrul (Carnegie Mellon University); Laszlo A Jeni (Carnegie Mellon University); Wanqiao Ding (University of Pittsburgh)*; Jeffrey Cohn (University of Pittsburgh)
Learning to be Interpretable Katarzyna A Janocha (Imperial College London)*; Anil Anthony Bharath ((Imperial College of London,UK)); Nick Linton (Imperial College)
Bandit Algorithms for Factorial Experiments Yutong Yan (McGill University)*; Audrey Durand (Université Laval); Joelle Pineau (McGill / Facebook)
Fake News Detection via NLP becomes harder Meghana Moorthy Bhat (The Ohio State University)*; Zhixuan Zhou (Wuhan University)
Applying Graph Neural Networks on Multimodal Biological Data Vaishnavi Subramanian (University of Illinois at Urbana-Champaign)*; Tanveer Syeda-Mahmood (IBM Research); Minh Do (UIUC)
Debunking Debiasing: A Critique of Bias Measurement in NLP Su Lin Blodgett (University of Massachusetts Amherst)*; Hanna Wallach (Microsoft Research); Hal Daumé III (University of Maryland / Microsoft Research); Solon Barocas (Cornell University / Microsoft Research)
Automate Diabetic Retinopathy Screening with Compact Deep Networks Mei Chen (Vision AI Corp.)*
Estimating distributional shifts for cross-domain learning Isabela Albuquerque (Institut National de la Recherche Scientifique)*; Joao B Monteiro (Institut National de la Recherche Scientifique); Olivier Rosanne (Institut National de la Recherche Scientifique ); Abhishek Tiwari (IITKGP); Jean-François Gagnon (Thales Research and Technology); Tiago H Falk (INRS-EMT)
A Compact Network Model for Learning in Distribution Space Connie K Kou (NUS)*; Hwee Kuan Lee (A*STAR); Jorge Sanz (National University of Singapore); Teck Khim Ng (National University of Singapore)
A method for automated feed generation based on user’s research interests Ivana Williams (Chan Zuckerberg Initiative)*
Medical images processing modality classification using k-means clustering and discrete Bayesian Networks Birtukan Destaw Bayleyegn (Addis Abeba University )*; Eskender Girmay Gebremicheal (Jomo kenyatta University ); Seblework Destaw Bayleyegn (Wollo University)
AI TUNA : Automating Tuna Quality Evaluation using a Hierarchical ML Model Amina K Mim (Koozyt Inc.)*; Hideyuki Ono (Koozyt, Inc.); Yasushi Miyajima (Koozyt, Inc.); Atsushi Shionozaki (Koozyt, Inc.)
Towards a Morphological Word Representation of Neural Machine Translation for Low-Resource and Morphologically-Rich Languages Kristine Mae M. Adlaon (De La Salle University)*; Nelson Marcos (De La Salle University)
Greedy Sampling for Approximate Clustering in Presence of Outliers Sharvaree Vadgama (University of Utah)*; Aditya Bhaskara (University of Utah)
ADAPTIVE GENETIC ALGORITHM FOR IMPROVING PREDICTION ACCURACY OF A MULTI-CRITERIA RECOMMENDER SYSTEM Latifat Miss Abdulsalam (African university of science and technology )*; Mohammed Hassan (University of Aizu); Mohamed Hamada (University of Aizu)
Real World Reasoning in Videos Aisha Urooj (University of Central Florida)*; Mubarak Shah (University of Central Florida); Niels da Vitoria Lobo (University of Central Florida)
Examining the Association between Surgical Wait Times and Hospital Length of Stay Using Machine Learning Algorithms Habibeh Naderi (Dalhousie University)*; Behrouz Haji Soleimani (Dalhousie University); Lynn Lethbridge (Nova Scotia Health Authority); JoAnne Douglas (Nova Scotia Health Authority); Stan Matwin (Dalhouise University); Michael Dunbar (Dalhousie University)
Evening Poster Session
Paper Title Authors
Aligning Vector-spaces with Noisy Supervised Lexicons Noa Lubin (Bar-Ilan University)*
Cloud-assisted Unsupervised learning for Adaptive Stream Processing Maryleen U Ndubuaku (University of Derby)*; Antonio Liotta (Edinburgh Napier); Ashiq Anjum (University of Derby)
Context-dependent Acoustic Modeling without Classification and Regression Trees Tina Raissi (RWTH Aachen University)*; Eugen Beck (RWTH Aachen University); Ralf Schlüter (RWTH Aachen University); Hermann Ney ( RWTH Aachen University)
Structured Variational Inference in Continuous Cox Process Models Virginia Aglietti (University of Warwick)*; Edwin V Bonilla (CISRO’s Data61); Theodoros Damoulas (University of Warwick)
Predictive maintenance planning of road bridges using deep neural networks Zaharah Allah Bukhsh (University of Twente)*; Irina Stipanovic ( University of Twente); Aaqib Saeed (Eindhoven University of Technology); Andrée Dorée (University of Twente)
An all-in-one network for dehazing and beyond Boyi Li (Cornell University)*; Xiulian Peng (Microsoft Research); Zhangyang Wang (TAMU); Jizheng Xu (MSRA); Dan Feng (Huazhong University of Science and Technology)
Effective Creation of Ground Truth Data-set for Malaria Diagnosis Using Deep Learning Martha Stephen Shaka (The University of Dodoma)*; Nyamos S Waigama (The University of Dodoma)
HYBRID VS ENSEMBLE OF CLASSIFICATION MODEL FOR PHISHING WEBSITE CLASSIFICATION Fatimah O Salami (First Bank of Nigeria Limited)*; Sakinat O Folorunso (Olabisi Onabanjo university)
A novel approach for improving stroke rehabilitation process using machine learning and artificial intelligence. Isuri Anuradha (Informatics Institute of technology)*; Lahiru Manohara (Informatics Institute of technology); Kaneeka Vidanage (Informatics Institute of Technology)
Fast and Accurate Segmentation of Diabetic Foot Ulcer Images based on Mask Regions with Convolutional Neural Network Deep Learning Framework Rehema H Mwawado (The Nelson Mandela African Institution of Science and Technology)*
Modeling Pipelines, Mechanistic and Data-Driven Agent-Based Models, to Explain Human Behavior in Online Networked Temporal Social Science Experiments Vanessa I Cedeno (Escuela Superior Politécnica del Litoral, ESPOL)*
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi (Columbia University)*; David Blei (Columbia University); Victor Veitch (Columbia University)
Industrial Audio Classification with Music Domain Features Patricia A Ryan (Microsoft)*; Chenhao Yang (Microsoft)
Speeding Up Parameter Estimation for DNA Kinetic Simulators Modeled as Continuous-Time Markov Chains Sedigheh Zolaktaf (University of British Columbia)*; Frits Dannenberg (California Institute of Technology); Erik Winfree (California Institute of Technology); Alexandre Bouchard-Cote (University of British Columbia); Mark Schmidt (University of British Columbia); Anne Condon (University of British Columbia)
Encouraging the decision boundaries of a classifier to capture data geometry Deshana K Desai (AiCure)*
Medical Treatment Optimization with Supervised History Representation and Improvable Tree Search Luchen Li (Imperial College London)*; Matthieu Komorowski (Imperial College London); Aldo Faisal (Imperial College London)
Unsupervised Named Entity Recognition for Electronic Health Records using Bidirectional LSTM-CNN Asmita Poddar (National University of Singapore)*
Two-step Memory Networks for Deep Semantic Parsing of Geometry Word Problems Ishadi Jayasinghe (University of Moratuwa)*; Surangika Ranathunga (University of Moratuwa)
Bayesian Combinatorial Multi-Study Factor Analysis with the Indian Buffet Process Isabella N Grabski (Harvard University)*; Roberta De Vito (Princeton University); Lorenzo Trippa (Harvard University, Dana-Farber Cancer Institute); Giovanni Parmigiani (Harvard University, Dana-Farber Cancer Institute)
Asymptotic Guarantees for Learning Generative Models with the Sliced-Wasserstein Distance Kimia Nadjahi ( Télécom ParisTech)*; Alain Durmus (ENS); Umut Simsekli (Telecom ParisTech); Roland Badeau (Télécom ParisTech)
Investigating Multilingual NMT Representations at Scale Sneha Kudugunta (Google)*; Ankur Bapna (Google Research); Isaac Caswell (Google); Orhan Firat (Google ); Naveen Ari (Google)
Improving action branching for deep reinforcement learning with multi-dimension hybrid action space Laige Peng (The University of Tokyo)*; Yoshimasa Tsuruoka (The University of Tokyo)
The Impact of Sampling Fraction on Domain Adaptation for Automated Individual Performance Predictions of Small Group Interactions Uliyana Kubasova (University of the Fraser Valley)*; Gabriel Murray (University of the Fraser Valley)
CraftAssist: A Framework for Dialogue-enabled Interactive Agents Kavya Srinet (Facebook AI Research)*; Jonathan Gray (Facebook AI Research); Yacine Jernite (); Haonan Yu (Facebook AI Research); Zhuoyuan Chen (Facebook AI Research); Demi Guo (Facebook AI Research); Siddharth Goyal (Facebook AI Research); Larry Zitnick (Facebook AI Research); Arthur Szlam (Facebook)
Refining the Lottery Ticket Hypothesis Gintare Karolina Dziugaite (Element AI)*; Jonathan Frankle (MIT); Michael Carbin (MIT); Daniel M. Roy (University of Toronto)
Prosody Based Sentence level Automatic Speech Segmentation for Amharic Rahel Mekonen Tamiru (Bahir Dar Universty)*
Network Modeling of Orchestral Concert Programming Anna K Yanchenko (Duke University)*
Newton-Laplace Updates for Block Coordinate Descent Si Yi Meng (University of British Columbia)*; Mark Schmidt (University of British Columbia)
A Deep Neuro-Fuzzy Network for Image Classification Omolbanin Yazdanbakhsh (Xsensor Technology Corp)*
Free Support Sinkhorn Barycenter with Frank-Wolfe Giulia Luise (University College London)*; Saverio Salzo (Istituto Italiano di Tecnologia); Massimiliano Pontil (IIT); Carlo Ciliberto (Imperial College London)
Generalizablity of Models in Alzheimer’s Disease Classification Louise Bloch (Fachhochschule Dortmund)*; Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund)
Multi-Model Deep Networks for Metastatic Cancer Detection using Biopsy Lymph Node Images Azadeh Mobasher (Microsoft)*; Amin Mobasher (SainaHealth)
Kinematic encoding model of iEEG activity in the contralateral and ipsilateral hemisphere during a reaching task Christina M Merrick (University of California, Berkeley)*; Tanner Dixon (University of California, Berkeley); Jack Lin (University of California, Irvine); Edward Chang (UCSF); Jose Carmena (University of California, Berkeley); Robert Knight (UC Berkeley); Richard Ivry (University of California, Berkeley)
Modeling Implicit Learning : Extracting Implicit Rules from Sequences using LSTM Ikram CHRAIBI KAADOUD (onepoint)*; Nicolas Rougier (INRIA Bordeaux Sud-Ouest); Frederic Alexandre (INRIA Bordeaux Sud-Ouest)
The Blessings of Multiple Causes Yixin Wang (Columbia University)*; David Blei (Columbia University)
Sentiment Analysis on Naija-Tweets Taiwo Kolajo (Department of Computer and Information Sciences, Covenant University, Nigeria)*; Olawande Daramola (CPUT, Cape Town, South Africa ); Ayodele Adebiyi (Covenant University)
Max-value Entropy Search for Multi-Objective Bayesian Optimization Syrine Belakaria (Washington State university)*; Aryan Deshwal (Washington state university); Janardhan Rao Doppa (Washington State University)
Stretching the Effectiveness of MLE from Accuracy to Bias for Pairwise Comparisons Jingyan Wang (Carnegie Mellon University)*; Nihar Shah (CMU); R Ravi (CMU)
Learning Feature Representations for Discriminative Clustering with Limited Supervision Corinne Jones (University of Washington)*; Vincent Roulet (University of Washington); Zaid Harchaoui (University of Washington)
Multi-level Dense Capsule Networks Sai Samarth R Phaye (National University of Singapore); Apoorva Sikka (Indian Institute of Technology, Ropar)*; Abhinav Dhall (Indian Institute of Technology Ropar); Deepti Bathula (Indian Institute of Technology Ropar)
Path Planning Approach for Ground Robots in 3D Environments using Sampling-based Algorithm Cebisile I Mthabela (CSIR)*; Daniel Withey (CSIR)
Beating SGD Saturation with Tail-Averaging and Minibatching Nicole Muecke (University of Stuttgart)*; Gergely Neu (Universitat Pompeu Fabra); Lorenzo Rosasco (unige, mit, iit)
Capacity based Distributed Algorithm for Service Restoration in Electrical Distribution Network Rukia Julius Mwifunyi (University of Dar es Salaam)*
Predicting interaction sites within protein domains Anat Etzion-Fuchs (Princeton University)*; David Todd (Princeton University); Mona Singh (Princeton University)
Exploring aspects of similarity for personal narratives Belen C Saldias (MIT)*; Deb Roy (MIT Media Lab)
Abstract Rule Learning with Neural Networks Radha Manisha Kopparti (City, University of London)*
Wireheading in Partially-Embedded General Reinforcement Learning Agents Arushi Majha (University of Cambridge)*
Graph combinatorics based group-level network inference with an application to brain connectome study Qiong Wu (University of Maryland)*; Shuo Chen (University of Maryland)
Effect of Gender on Interaction with Embodied Conversational Agents Procheta Nag (Simon Fraser University); Ozge N Yalcin (Simon Fraser University)*
PAC Model-based Algorithm for Reinforcement Learning Using Spectral Methods Yanchao Sun (University of Maryland, College Park)*; Furong Huang (University of Maryland)
Evidential Disambiguation of Latent Multimodality in CVAEs Masha Itkina (Stanford University)*; Boris Ivanovic (Stanford University); Ransalu Senanayake (Stanford University); Mykel Kochenderfer (Stanford University); Marco Pavone (Stanford University)
Beyond Imitation: Generative and Variational Choreography via Machine Learning Mariel N Pettee (Yale University)*; Chase Shimmin (Yale University); Douglas Duhaime (Yale University); Ilya Vidrin (Harvard University)
Handwritten Annotation Localization on a Printed Document using Top-down Visual Saliency Models Shilpa Pandey (Indian Institute of Technology Jodhpur)*
Machine Learning for the Prediction of Life Expectancy of Heart Transplant Patients Ipsita Praharaj (Indian Institute Of Technology)*; Prof. Ram Babu Roy (Indian Institute Of Technology); Paras Chaudhary (Indian Institute Of Technology)
Text Embeddings for Causal Inference Dhanya Sridhar (Columbia University)*; Victor Veitch (Columbia University); David Blei (Columbia University)
Greedy InfoMax for Self-Supervised Representation Learning Sindy Löwe (University of Amsterdam)*; Peter E.D. O’Connor (University of Amsterdam); Bastiaan S Veeling (University of Amsterdam)
Hardware-Aware Tractable Probabilistic Models for Resource Constrained Embedded Applications Laura I Galindez Olascoaga (KU Leuven)*; Wannes Meert (KU Leuven); Guy Van den Broeck (UCLA); Marian Verhelst (KU Leuven)
Estimating counterfactual treatment outcomes over time through adversarially balanced representations Ioana Bica (University of Oxford, The Alan Turing Institute)*; Ahmed Alaa (UCLA); Mihaela van der Schaar (University of Cambridge, The Alan Turing Institute, UCLA)
Delayed Bandits with unknown delays. Manegueu Anne Gael (Manegueu Anne Gael)*; Alexandra Carpentier (Otto-von-Guericke-Universität Magdeburg); Michal Valko (Inria); Claire Vernade (DeepMind)
PAC-Bayes Generalization Bounds for Invariant Neural Networks Clare Lyle (University of Oxford)*; Marta Kwiatkowska (Oxford University); Yarin Gal (University of Oxford)
Benchmarking the performance of Algorithms for working with Small Datasets Francisca O Oladipo (Islamic University in Uganda)*
On the Hardness of Robust Classification Pascale Gourdeau (University of Oxford)*; Varun Kanade (University of Oxford); Marta Kwiatkowska (Oxford University); James Worrell (University of Oxford)
Predictive Temporal Embedding of Dynamic Graphs Aynaz Taheri (UIC)*
Topic-Aware Sentence Generation using Variational Autoencoder Yu-Ying Lin (National Cheng Kung University)*; Hung-Yu Kao (National Cheng Kung University)
Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems Lea Schönherr (Ruhr-Universität Bochum)*; Steffen Zeiler (Ruhr-Universität Bochum ); Thorsten Holz (Ruhr-Universität Bochum); Dorothea Kolossa (Ruhr-Universität Bochum )
Deep Prototype Models and Human Image Categorization Pulkit Singh (Princeton University)*; Joshua C Peterson (Princeton University); Ruairidh Battleday (Princeton University); Thomas Griffiths (Princeton University)
Augmenting Chemical Datasets by Conformational Oversampling Jennifer Hemmerich (University of Vienna)*; Ece Asilar (University of Vienna); Guenter Klambauer (Johannes Kepler University Linz); Gerhard F. Ecker (University of Vienna)
Hyperparameter Inference in Gaussian Process Regression Vidhi Lalchand (University of Cambridge )*; Carl Edward Rasmussen (Cambridge University)
Neural error correction for string representations of novel molecules Dzvenymyra Yarish (SoftServe)*
Within- and Between-Dimension Clustering Using Regularized Tensor Decomposition Charlotte Ellison (U.S. Army Corps of Engineers)*; William Fields (U.S. Army Corps of Engineers); Joshua Parker (U.S. Army Corps of Engineers)
Can Avalanche Deposits be Effectively Detected by Deep Learning? Saumya Sinha (University of Colorado, Boulder)*; Sophie Giffard-Roisin (University of Colorado Boulder); Fatima Karbou (Meteo France); Michael Deschatres (Irstea); Nicolas Eckert (Irstea); Anna Karas (Meteo France); Cécile Coléou (Meteo France); Claire Monteleoni (University of Colorado Boulder)
Boosting for Dynamical Systems Naman Agarwal (Google); Nataly Brukhim (Princeton University)*; Elad Hazan (Princeton University); Zhou Lu (Princeton University)
The effect of text representation and domain specific long-range contextual information on a Recurrent Neural Network Language Model Linda N Khumalo (University of the Witwatersrand)*
A Filter-Based Feature Selection Algorithm Using Entropy of Feature Values on Local Neighborhoods Farinaz Pisheh (University of Houston)*; Ricardo Vilalta (University of Houston)
FUGUE: Characterizing functional genes across human tissues Gowthami Somepalli (University of Maryland)*; Sarthak Sahoo (IISC); Sridhar Hannenhalli (Center for Cancer Research, National Cancer Institute)
Ignorance in Bliss: Semantic Pairing for Fine-Grained Recognition Ankita Shukla (Indraprastha Institute of Information Technology – Delhi)*
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations Bahare Fatemi (University of British Columbia)*; Perouz Taslakian (Element AI); David Vazquez (Element AI); David Poole (University of British Columbia)
Bayesian state estimation and calibration for a robot manipulator end-effector. Zimkhitha Sijovu (CSIR)*
Improving Super-Resolution Methods via Incremental Residual Learning Rafia Rahim (National University of computer and emerging sciences, islamabad)*; Sibt ul Hussain (National University of Computer & Emerging Sciences (NUCES-FAST), Islamabad, Pakistan); Muneeb Aadil (Reveal Lab, National University of Computer and Emerging Sciences)
Identification of Patterns in Cystic Fibrosis Physiotherapy with Unsupervised Learning Olga Liakhovich (Microsoft)*; Mihaela Curmei (Microsoft); Tempest van Schaik (Microsoft); Bianca Furtuna (Microsoft); Eleanor Main (UCL Great Ormond Street Institute of Child Health); Emma Raywood (UCL Great Ormond Street Institute of Child Health); Nicole Filipow (UCL Great Ormond Street Institute of Child Health); Kunal Kapoor (UCL Great Ormond Street Institute of Child Health); Helen Douglas (UCL Great Ormond Street Institute of Child Health)
Approximating Interactive Human Evaluation with Self-Play for Open-Domain Dialog Systems Asma Ghandeharioun (MIT)*; Judy Hanwen Shen (MIT); Natasha Jaques (MIT); Craig Ferguson (MIT); Noah Jones (MIT); Agata Lapedriza Garcia (MIT); Rosalind Picard (MIT Media Lab)
Detecting Conditional Independence with Deep Learning for Causal Discovery Emily G Saldanha (Pacific Northwest National Laboratory)*; Svitlana Volkova (Pacific Northwest National Laboratory); Dustin Arendt (Pacific Northwest National Laboratory)
Branding Musculoskeletal Radiographs for Multi-modal Diagnostic Recognition Obioma Pelka (University of Applied Sciences and Arts Dortmund)*
Deep Individual Fairness Verification Golnoosh Farnadi (Polytechnique Montreal)*; Behrouz Babaki (Polytechnique Montreal); Michel Gendreau (Polytechnique Montreal)
Supervised versus Semi-supervised Machine Learning in the search for new Physics with the ATLAS data at CERN Brigitte L Malobola (University of the Witwatersrand)*
Algorithmic guarantees for inverse imaging with untrained network priors Gauri Jagatap (Iowa State University)*; Chinmay Hegde (New York University)
Improving Stream-Based Active Learning with Reinforcement Learning Sarah Wassermann (INRIA Paris)*; Thibaut Cuvelier (CentraleSupélec); Pedro Casas (AIT Austrian Institute of Technology GmbH)
Data Sketching for Faster Training of Machine Learning Models Baharan Mirzasoleiman (Stanford University)*; Jeff Bilmes (UW); Jure Leskovec (Stanford)
Provable Convolutional Sparse Coding via Nonconvex Optimization Laixi Shi (Carnegie Mellon Unviersity)*; Yuejie Chi (CMU)
Riemannian Frank-Wolfe Methods Melanie Weber (Princeton University)*; Suvrit Sra (Massachusetts Institute of Technology, USA)
Pattern analysis and user profiling from motion sensors data Geise Santos (University of Campinas)*; Tiago Tavares (University of Campinas); Anderson Rocha (University of Campinas)
A sparse, data-efficient ECG representation is predictive of myocardial infarction without expert knowledge Sunayana Rane (MIT)*
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM Supriya Nagesh (Georgia Institute of Technology)*; Alexander F Moreno (Georgia Institute of Technolog); Hiroshi ishikawa (New York University); Wollstein Gadi (NYU Langone Health, NYU Eye Center); Joel Schuman (NYU); James Rehg (Georgia Institute of Technology)
Visual Saliency Against Adversarial Examples Amanda S Fernandez (University of Texas at San Antonio)*; Richard Tran (University of Texas at San Antonio); Michael Geyer (University of Texas at San Antonio); David Patrick (University of Texas at San Antonio)
Medical Image Segmentation: Volumetric Analysis of Traumatic Brain Lesions Shruti Jadon (Brown University(Rhode Island Hospital))*
Polynomial-time Algorithms for Multiple-arm Identification with Full-bandit Feedback Yuko Kuroki (The University of Tokyo / RIKEN)*; Liyuan Xu (Gatsby Computational Neuroscience Unit); Atsushi Miyauchi (RIKEN Center for Advanced Intelligence Project); Junya Honda (The University of Tokyo / RIKEN); Masashi Sugiyama (RIKEN/The University of Tokyo)
Using Variational Autoencoders for Protein Structure Refinement and Design Sanaa Mansoor (University of Washington)*
Layout Composition from Attributed Scene Graphs Subarna Tripathi (Intel AI Lab); Anahita Bhiwandiwalla (Intel AI Lab); Anna Bethke (Intel)*
Syntax analysis for the Amharic language Tsedeniya T Kinfe (addis ababa universty)*
Automated tissue segmentation of micro-CT images by deep learning and its application to comparative morphology Evropi Toulkeridou (Okinawa Institute of Science and Technology Graduate University)*; Evan Economo (Okinawa Institute of Science and Technology Graduate University); Kenji Doya (Okinawa Institute of Science and Technology); Daniel Baum (Zuse Institute Berlin)
Surface and Deep Features Ensemble for Sentiment Analysis of Arabic Tweets Hadeel Alnegheimish (Imperial College London)*; Nora Al-Twairesh (King Saud University)
Predictive Malware Response Action with Memory Forensic and Tree- Shaped Deep Neural Network rajchada chanajitt (Waikato University)*
Predicting Daily Medicine Expenditures via a Variance-based Generative Adversarial Network Shruti Kaushik (Indian Institute of Technology Mandi)*; Abhinav Choudhury (Indian Institute of Technology Mandi); Varun Dutt (IIT, Mandi)
Neural Encoder-Decoder based Urdu Conversational Agent Mehreen Alam (NUCES)*
Evaluating Representation Learning Models: Representational Stability Analysis Samira Abnar (University of Amsterdam)*; Willem Zuidema (University of Amsterdam)
ExpandNets: Exploiting Linear Over-parameterization to Train Compact Networks Shuxuan Guo (EPFL)*; Jose M. Alvarez (NVIDIA); Mathieu Salzmann (EPFL)
Address2vec: Generating vector embeddings for blockchain analytics Samiiha Nalwooga (Stockholm University)*
Minimal IMAP MCMC: Accessible Software for Bayesian Inference of Bayesian Networks Mirae L Parker (Massachusetts Institute of Tech)*; Tamara Broderick (MIT); Raj Agrawal (MIT)
Intelligent Pooling in Thompson Sampling for Rapid Personalization in Mobile Health Sabina J Tomkins (Harvard University)*; Peng Liao (Harvard University); Serena Yeung (Harvard University); Susan Murphy (Harvard University); Predag Klasnja ()
Replacing Markov Chain Monte Carlo with Generative Flow Neural Networks Kimmy K Cushman (Yale University)*; George Fleming (Yale University); Ciaran Hughes (Fermi National Accelerator Laboratory); James Simone (Fermi National Accelerator Laboratory); Joshua Isaacson (Fermi National Accelerator Laboratory); Yin Lin (University of Chicago ); William Jay (Fermi National Accelerator Laboratory)
A Multi-model Approach to Extract EDSS Scores from Multiple Sclerosis Consult Notes Zhen Yang (University of Toronto)*; Chloe Pou-Prom (St. Michael’s Hospital); Tony Antoniou (St. Michael’s Hospital); Jiwon Oh (St. Michael’s Hospital)
Granule and mossy cell gene expression study: single cell sequence alignment monitored by electroencephalography scans with Markov Chain and Bayes Estimation Qin He (TAU)*
Infinite ensembles for uncertainty prediction Sina Däubener (Ruhr-University, Bochum)*; Agustinus Kristiadi (University of Tuebingen); Asja Fischer (Ruhr University, Bochum)
Mapping of Narrative Text Fields To ICD-10 Codes Using Natural Language Processing and Machine Learning Risuna RW Nkolele (University of the Witwatersrand)*
Asymptotic Risk of Minimum Norm Least Squares Estimator in High Dimension under Spike Covariance Model Yasamansadat Mahdaviyeh (University of Toronto)*
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation Cristina Garbacea (University of Michigan)*; Samuel Carton (University of Michigan); Shiyan Yan (University of Michigan); Qiaozhu Mei (University of Michigan)
Deep Bayesian Bandits for Online Personalized Recommendations Dalin Guo (UC San Diego; Twitter, Inc.)*; Sofia Ira Ktena (Twitter, Inc.); Ferenc Huszar (); Wenzhe Shi (Twitter Inc.); Alykhan Tejani (Twitter, Inc.)
Scalable Diffusion Convolution Recurrent Neural Network for Large-Scale Traffic Forecasting Tanwi Mallick (Argonne National Laboratory)*; Prasanna Balaprakash (Argonne National Laboratory); Eric Rask (Argonne National Laboratory); Jane Macfarlane (Lawrence Berkeley National Laboratory)
Learning Bio-Markers of Social Cognition in Schizophrenia using fMRI Sindhu C M Gowda (University of Toronto)*; Navona Calarco (Centre for Addiction and Mental Health); Ashish Khisti (University of Toronto)
Soft Option Critic Elita Lobo (University of Massachusetts Amherst)*
FACTORS INFLUENCING POSTGRADUATE STUDENTS’ ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH. Ayodele Esther Awokoya (University of ibadan)*
Smooth background modeling in resonance search with Gaussian process in the Large Hadron Collider Yvonne Ng (University of California, Irvine )*
Sample-Efficient Reinforcement Learning with Maximum Entropy Episodic Control Marta Viseu Sarrico (Imperial College London)*; Kai Arulkumaran (Imperial College London); Andrea Agostinelli (Imperial College London); Anil Anthony Bharath ((Imperial College of London,UK)); Pierre H Richemond (Imperial College)
AspeRa: Aspect-Based Rating Prediction Based on User Reviews Elena Tutubalina (Kazan Federal University)*; Valentin A Malykh (Moscow Institute of Physics and Teсhnology); Anton M Alekseev (PDMI RAS); Ilya Shenbin (PDMI RAS); Sergey Nikolenko ()
FLARe: Forecasting by Learning Anticipated Representations Surya Teja Devarakonda (UMass Amherst); Yeahuay Wu (UMass Amherst); Yi R Fung (UMass Amherst)*; Madalina Fiterau (University of Massachusetts Amherst)
Optical Coherence Tomography Image Denoising and Ocular Disease Identification using Convolutional Neural Networks Neha Gour (Indian Institute of Information Technology Design and Manufacturing, Jabalpur)*; Pritee Khanna (Indian Institute of Information Technology Design and Manufacturing Jabalpur)
Classification of the Coronary Artery Stenosis Score in Multiplanar Reconstruction Images Mariia Dobko (Ukrainian Catholic University)*; Bohdan Petryshak (Ukrainian Catholic University); Oles Dobosevych (Ukrainian Catholic University)
Way Off-Policy Deep Reinforcement Learning of Implicit Human Preferences in Dialog Natasha Jaques (MIT)*; Asma Ghandeharioun (MIT); Judy Hanwen Shen (MIT); Craig Ferguson (MIT); Agata Lapedriza Garcia (MIT); Noah Jones (MIT); Shixiang Gu (Google Brain); Rosalind Picard (MIT Media Lab)
Holistic Detection of Human Trafficking in Online Escort Market Aayushi Kulshrestha (Mcgill University)*; Heather Bosiljevac (McGill University); Reihaneh Rabbany (McGill University)
End-to-End layout analysis system for historical scholar publications Olha Bakay (ELEKS)*; Kostiantyn Liepieshov (Ukrainian Catholic University); Oles Dobosevych (Ukrainian Catholic University)
Selection Bias Invalidates Fairness Joshua Loftus (New York University); Margarita Boyarskaya (New York University)*
Machine Learning to Predict Fuel Consumption Landrine Guimfac Teufac (Fultang Polyclinic)*; Rosine Carole Kemgang Dongmo (Centre de Sante Sainte Romaine); Jacques Tobie (University of Douala); Silviane Samantha Sietchepin Yameni (University of Buea)
Counterfactual Risk Assessments, Evaluation, and Fairness Amanda Coston (Carnegie Mellon University)*; Alexandra Chouldechova (CMU); Edward Kennedy (Carnegie Mellon University)
Modelling Large-Scale Signal Fading in Urban Environment Based on Fuzzy Inference System Abigail O Jefia (Covenant University )*
Fast Dynamic Perfusion and Angiography Reconstruction using an End-to-end 3D CNN Sahar Yousefi (Leiden University Medical Center)*; Lydiane Hirschler (Leiden University Medical Center); Merlijn van der Plas (Leiden University Medical Center); Mohamed S. Elmahdy (LUMC); Hessam Sokooti (LUMC); Matthias Van Osch (Leiden University Medical Center); Marius Staring (Leiden University Medical Center)
Prediction of Psychotic Delusions using Multisite Resting State Functional Connectivity Data from BSNIP1 Study Victoria T Okuneye (University of Chicago)*
Prediction of health-related quality of life from longitudinal self-reported symptom patterns in adult survivors of childhood cancer Farideh Bagherzadeh-Khiabani (University of Alberta)*; Kevin Krull (St. Jude Children’s Research Hospital); Greg Armstrong (St. Jude Children’s Research Hospital); Melissa Hudson (St. Jude Children’s Research Hospital); Leslie Robinson ( St. Jude Children’s Research Hospital); Yutaka Yasui (University of Alberta); I-Chan Huang ( St. Jude Children’s Research Hospital)
Incorporating human priors in deep reinforcement learning for robot control Manon Flageat (Imperial College London)*; Kai Arulkumaran (Imperial College London); Anil Anthony Bharath ((Imperial College of London,UK))
Using Dimensionality Reduction to Transform Feature Spaces Marleny Hilasaca (University of Sao Paulo)*; Fernando Paulovich (University of Sao Paulo)
Online Handwriting Recognition using Encoder-Decoder Model Abeer Eisa (University of Khartoum); Lina A Abdalla (University of Khartoum)*
Fairness in Predicting Risk of Prolonged Ventilation among Adult Cardiac Surgery Patients Eva Gjekmarkaj (Carnegie Mellon University)*
Application of Recurrent Auto-Encoders in Oilfield Sensor Validation Soumya Gupta (Schlumberger)*; Crispin Chatar (Schlumberger); Jose Celaya (Schlumberger)
Real-time Localized Style Transfer with Semantic Segmentation Lironne Kurzman (University of British Columbia (UBC))*; David Vazquez (Element AI); Issam Hadj Laradji (University of British Columbia (UBC))
Unsupervised Machine Translation from West African Pidgin (Creole) to English Orevaoghene Ahia (Instadeep)*; Kelechi Ogueji (Instadeep)
DropCluster: A structured dropout for convolutional networks Liyan Chen (Stevens Institute of Technology)*; Sergul Aydore (Stevens Institute of Technology)
Combinatorial discrete optimization of linear classifiers with binary weights Ashrafi Ashrafi (KU LEUVEN)*; Matthew Blaschko (KU Leuven)
Watching the TV watchers Yun Zhang (Georgia Institute of Technology)*; James Rehg (Georgia Institute of Technology)
Visual Analytics for Interpretability on Deep Neural Networks Haekyu Park (Georgia Institute of Technology)*; Fred Hohman (Georgia Institute of Technology); Nilaksh Das (Georgia Institute of Technology); Caleb Robinson (Georgia Institute of Technology); Duen Horng Chau (Georgia Institute of Technology)
Hierarchal Interest-Driven Associative Goal Babbling Rania Rayyes (TU Braunschweig)*; Jochen Steil (TU Braunschweig)
Where did the Political News Event Happen? Primary Focus Location Extraction in Different Languages Maryam Bahojb Imani (University of Texas at Dallas)*; Latifur Khan (University of Texas at Dallas)
Uncovering insights on kidnaps in Uganda using text mining Dorothy Kabarozi (Efficiency Uganda)*; Namugumya Sandra (Makerere AI Research Laboratory)
Modeling Opioid Abuse Indicators and Interventions in Appalachia Savannah J Thais (Princeton University)*
Soccer Match Statistics Predictor Using Machine Learning Suanny Fabyne S Vieira (Centro de Informática, Universidade Federal da Paraíba, Brazil)*; Thaís do Rêgo (Centro de Informática, Universidade Federal da Paraíba, Brazil.); Juan Albuquerque (Centro de Informática, Universidade Federal da Paraíba, Brazil); Thiago Filipe Rocha (Centro de Informática, Universidade Federal da Paraíba, Brazil)
Boosting Relational Restricted Boltzmann Machines Navdeep Kaur (UNIVERSITY OF TEXAS AT DALLAS)*; Gautam Kunapuli (UT Dallas); Sriraam Natarajan (UT Dallas)
Web App for Cassava Leaves’ Diseases Detection Sara Ebrahim (AIMS Rwanda)*; Awa SAMAKE (AIMS-Rwanda / Mila); Yasser Salah Eddine Bouchareb (AIMS Rwanda); Aisha Alaagib Alryeh (AMMI)
Rosalind: gene prioritization with tensor factorization Saee Paliwal (Benevolent AI)*; Daniel Neil (BenevolentAI); Alex DeGiorgio (Benevolent AI); Alix Lacoste (BenevolentAI)
Cost-Sensitive Training for Autoregressive Models Irina Saparina (National Research University Higher School of Economics)*; Anton Osokin (HSE)
Comparison of Neural Network Models for Entity-level Classification of Adverse Drug Reactions Ilseyar Alimova (Kazan Federal University)*; Elena Tutubalina (Kazan Federal University)
Network-Based Approaches for Anti-Money Laundering Megan Yetman (Capital One)*; Jaime Y Kang (Capital One)
Learning Lexical Coreferability Yehudit K Meged (Bar Ilan University)*; Ido Dagan (University of Bar Ilan, Israel)
Using Stacked BDLSTMs for Fusion of Eye and Mouse Dynamics based User Authentication Yudong Liu (Western Washington University)*; Yusheng Jiang (Western Washington University); John Devenere (Western Washington University)
Adversarial Manipulation of Attention-based Explanations Mansi Gupta (Petuum)*; Danish Pruthi (Carnegie Mellon University); Bhuwan Dhingra (CMU); Zachary Lipton (Carnegie Mellon University); Graham Neubig (Carnegie Mellon University)
Goal-Conditioned Dynamic Graph Model for Task and Motion Planning M. Clara De Paolis Kaluza (Northeastern University)*; Chris Paxton (NVIDIA); Animesh Garg (Stanford University); Animashree Anandkumar (Caltech); Rose Yu (Northeastern University)
Using Embeddings of Line Graph Powers to Retrieve Item Substitutes Dora Jambor (Shopify Inc.)*; Putra Manggala (Shopify Inc.); Brooke Fitzgerald (Shopify)
Knowledge-Driven Hallucination for Low-Shot Classification Lillian Huang (University of Maryland)*; Ser-Nam Lim (Facebook AI); Rama Chellappa (University of Maryland); Abhinav Shrivastava (University of Maryland)
Neural Collision-Clearance Estimator for Fast Motion Planning Chase Kew (Google Robotics)*; Aleksandra Faust (Google Brain); Brian Ichter (Google Brain); Maryam Bandari (Google X); Tsang-Wei Lee (Google Brain)
Deep Convolutional Network for Classifying Indian Summer Monsoons at a Daily Scale Moumita Saha (University of Colorado Boulder)*; Brandon Finley (University of Colorado Boulder); Claire Monteleoni (University of Colorado Boulder)
PANR: Property Alignment Using Neural Reasoning Qian Yang (Duke University)*; Gerard de Melo (Rutgers University)
Online Change-Point Detection for High-Dimensional Data using Graphs Yang-Wen Sun (Humboldt-Universität zu Berlin)*; Katerina Papagiannouli (Humboldt-Universität zu Berlin); Vladimir Spokoiny (Weierstrass Institute)
Artificial intelligence applied in the real estate market in the Pantanal region Maicon Cunha (Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul)*; Marcia Ferreira Cristaldo (Instituto Federal de Educação, Ciência e Tecnologia de Mato Grosso do Sul); Leandro de Jesus (IFMS)
Attention is not not Explanation Sarah Wiegreffe (Georgia Institute of Technology)*; Yuval Pinter (Georgia Institute of Technology)
USING COMPARISONS TO REDUCE COST OF DATA ANNOTATION REQUIRED TO TRAIN MODELS FOR BEDSIDE MONITORING Jiaxian Sheng (CMU); Lujie Chen (CMU); Marilyn Hravnak (University of Pittsburgh); Michael R Pinsky (University of Pittsburgh); Yichong Xu (Carnegie Mellon University); Artur Dubrawski (CMU); Xinyu Li (Carnegie Mellon University)*
Learning 3D Priors With Adversarial Novel View Generation AARTIKA RAI (University of Massachusetts Amherst)*
Odium Revelio! – Detecting subtle hate speech in online news comments Sakshi Agarwal (University of California, Irvine)*; sandya mannarswamy (Conduent Labs )
Online Agnostic Boosting Nataly Brukhim (Princeton); Xinyi Chen (Google)*; Elad Hazan (Princeton University); Shay Moran (Google AI Princeton)
A computational framework for Acute Myocardial Infarction Prediction from Real World Data Procheta Nag (Simon Fraser University)*
Social Reinforcement Learning to Combat Fake News Spread Mahak Goindani (Purdue University)*; Jennifer Neville (Purdue University)
Limitations and Biases in Facial Landmark Detection Azin Asgarian (Georgian Partners Inc)*; Shun Zhao (University Health Network); Ahmed Bilal Ashraf (University Health Network); Erin Browne (University of Regina); Ken Prkachin (University of Northern British Columbia); Alex Mihailidis (“University of Toronto, Canada”); Thomas Hadjistavropoulos (University of Regina); Babak Taati (University Health Network)
Construction of knowledge graphs from Spanish text using Linked Data Ana B Rios-Alvarado (Autonomous University of Tamaulipas)*; Andrea G. Garcia-Perez (Autonomous University of Tamaulipas); Tania Guerrero-Melendez (Autonomous University of Tamaulipas)
Sharing is Caring: Exploring machine learning methods to facilitate medical imaging exchange using metadata only Salaar Liaqat (University of Toronto); Joanna D Pineda (University of Toronto)*; Jeevaa Velayutham (University of Toronto); Allen Lee (University of Toronto); Joshua Reicher (Stanford); Jason Nagels (Hospital Diagnostic Imaging Repository Services); Marzyeh Ghassemi (University of Toronto, Vector Institute); Benjamin Fine (University of Toronto, Trillium Health Partners)
Improving Automatic Prediction of Driver Drowsiness In-the-wild using Adversarially Synthesized Examples of Sparsely Occurring Classes Ajjen Joshi (Boston University); Sandipan Banerjee (Affectiva); Survi Kyal (Affectiva)*; Taniya Mishra (Affectiva)
Automatic Detection of Driver Emotions and Expressions in Daily Driving Scenarios Sarah L Chen (Affectiva)*; Survi Kyal (Affectiva); Taniya Mishra (Affectiva); Rana Rana El Kaliouby (Affectiva)
Privacy Preserving Classification of High Dimensional Gene Expression Data Ariel Todoki (University of Washington Tacoma)*; Martine De Cock (University of Washington Tacoma); anderson nascimento (UW); Rafael Dowsley (Bar-Ilan University); Davis Railsback (University of Washington Tacoma); James Shen (University of Washington Tacoma)
Out-of-Distribution Detection using Neural Rendering Models Yujia Huang (California Institute of Technology)*; Sihui Dai (California Institute of Technology); Tan Minh Nguyen (Rice University); Animashree Anandkumar (Caltech); Richard Baraniuk (Rice University)
Efficient Data Deletion from Learned Models and Privacy Implications Mary Anne Smart (UCSD)*; James Zou (Microsoft); Zachary Izzo (Stanford); Kamalika Chaudhuri (University of California, San Diego)
Adaptive Partitioning of Persistence Diagrams for Template Function Featurization Sarah J Tymochko (Michigan State University)*; Elizabeth Munch (Michigan State University); Firas Khasawneh (Michigan State University)
CNN based object detection, tracking and trajectory prediction for autonomous driving Sugirtha Thayalan (NIT Trichy)*; M. Sridevi (NIT Trichy); Hazem Rashed (Valeo); Senthil Yogamani (Valeo Vision Systems)
Resource Allocation Optimization In Home Health Care: A Reinforcement Learning Approach Sanae Lotfi (Polytechnique Montréal); Ola Mohamed (Africain Institute for Mathematical Sciences); Loubna Benabou (UQAR)*; Abderrahim khalifa (Polytechnique Montreal); Amine BELLAHSEN (Polytechnique Montreal)
Fast Calorimeter Simulation with Wasserstein Generative Adversarial Networks Vitoria Barin Pacela (University of Helsinki)*; Maurizio Pierini (Cern)
VolMap: A Real-time Model for Semantic Segmentation of LiDAR surrounding view Hager Radi (University of Alberta)*
Audio Prediction as Intrinsic Reward for Exploration Victoria Dean (Carnegie Mellon University)*; Shubham Tulsiani (Facebook AI Research); Abhinav Gupta (Carnegie Mellon University Robotics Institute)
Explicitly using Subordinating Conjunctions for Sentence Fusion Wanlin Xie (Columbia University)*; Kathleen McKeown (Columbia University)
Off-Policy Evaluation in Contextual Bandits using Robust Regression Anqi Liu (California Institute of Technology)*; Hao Liu (California Institute of Technology); Animashree Anandkumar (Caltech); Yisong Yue (Caltech)
Feature Importance Interpretation of Dependent Features in Deep Learning Xiaoxiao Li (Yale University)*; Nicha Dvornek (Yale University); James S Duncan (Yale University)
Audio-Visual Emotion Recognition Using a Hybrid Deep Convolutional Neural Network based on Census Transform Jadisha Yarif Ramirez Cornejo (University of Campinas)*
Temporal Landmarks Veronica Chelu (McGill University)*; Doina Precup (McGill University)
Prototypical Regularization in Deep Neural Networks Cusuh Ham (Georgia Institute of Technology)*; James S Smith (Georgia Institute of Technology); Cole DeLude (Georgia Institute of Technology)
From massive pre-trained models to small low-latency deployment: discovering the simplicity behind over-parameterized neural networks Yue Li (Salesforce)*; Wenhao Liu (Salesforce Metamind)
Tissue Classification of Infant Brain MRI Using Local Image Patch CNNs and VQ-VAEs Yeun Kim (UCLA)*; Emily Dennis (University of Utah); Kathryn Humphreys (Vanderbilt University); Lucy King (Stanford University); Ian Gotlib (Stanford University); David Shattuck (University of California Los Angeles)
Deep learning automates prognosis of prenatal hydronephrosis using ultrasounds alone Marta Skreta (University of Toronto)*; Lauren Erdman (Hospital for Sick Children, University of Toronto); Mandy Rickard (Hospital for Sick Children); Carson McLean (University of Toronto); Aziz Mezlini (Hospital for Sick Children); Anne-Sophie Blais (Hospital for Sick Children); Michael Brudno (University of Toronto); Anna Goldenberg (University of Toronto); Armando Lorenzo (Hospital for Sick Children)
Semi-Supervised Learning with Normalizing Flows Pavel Izmailov (New York University); Polina Kirichenko (New York University)*; Marc Finzi (New York University); Andrew Gordon Gordon Wilson (New York University)
An MRI Inter-Modality Reconstruction Network using Multiscale Feature Transformation Preethi Srinivasan (IIT Mandi)*; Prabhjot Kaur (Indian Institute of Technology, Mandi); Aditya Nigam (IIT mandi); Arnav Bhavsar (IIT Mandi)
Towards Emotional Intelligence in Embodied Social AI Systems De’Aira G Bryant (Georgia Institute of Technology)*
Fairness in Contextual Bandits with Partial Monitoring for Optimized Diagnostic Awa SAMAKE (AIMS-Rwanda / Mila)*; Audrey Durand (Université Laval); Joelle Pineau (McGill / Facebook)
SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems Beidi Chen (Rice University)*
Policy Transfer of Autonomous vehicle controllers via Multi-agent adversarial noise Kathy Jang (UC Berkeley)*
Optimal Learning of Change in a Populations of Parameters Ramya Korlakai Vinayak (University of Washington)*; Weihao Kong (Stanford University); Sham Kakade (University of Washington)
Learning Dynamic Context Graphs for Societal Event Prediction Songgaojun Deng (STEVENS INSTITUTE OF TECHNOLOGY)*; Huzefa Rangwala (George Mason University); Yue Ning (Stevens Institute of Technology)
Multimodal Understanding of Passenger Intents in Autonomous Vehicles Eda Okur (Intel Labs)*; Shachi H Kumar (Intel Labs); Saurav Sahay (Intel); Lama Nachman (Intel Labs)
Bayesian nonparametric shared multi-sequence time series segmentation Olga Mikheeva (KTH Royal Institute of Technology)*; Ieva Kazlauskaite (University of Bath); Hedvig Kjellström (KTH Royal Institute of Technology); Carl Henrik Ek (University of Bristol)
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Qian Huang (Cornell University)*; Isay Katsman (Cornell University); Zeqi Gu (Cornell University); Horace He (Cornell University); Serge Belongie (Cornell University); Ser-Nam Lim (Facebook AI)
Intrinsic motivation in creative activity: A human behavioral experiment for identifying the factors that influence intrinsic motivation. Shoko Ota (Okinawa Institute of Science and Technology)*; Kenji Doya (Okinawa Institute of Science and Technology)
Augmentation at Test-Time: Cheap Increases in Off-the-Shelf Accuracy Divya Shanmugam (MIT); Roshni Sahoo (Massachusetts Institute of Technology)*
Light Weight Single-Shot Refinement Neural Network for Object Detection Aishwarya Gupta (University of Utah); Manasa Kolla (Conduent); Hardi Desai (Conduent )*
Understanding multitask learning in deep networks under various weighting strategies Ting Gong (intel corporation)*; Suchismita Padhy (Intel AI Lab); Tyler P Lee (Intel AI Lab); Cory Stephenson (Intel); Venkata Renduchintala (Intel AI Lab); Oguz H Elibol (Intel Corp.)
Dueling Posterior Sampling for Preference-Based Reinforcement Learning Ellen R Novoseller (California Institute of Technology)*; Yanan Sui (Tsinghua University); Yisong Yue (Caltech); Joel Burdick (Caltech)
Deep Attention Models for Human Tracking Using RGBD Srishti Yadav (Simon Fraser University)*; maryam rasouli (sfu)
Automating Stylistic Bias Detection in Sentiment Analysis Lauren Fratamico (MIT)*; Judy Hanwen Shen (MIT); Iyad Rahwan (MIT); Alexander Rush (Harvard)
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Yada Pruksachatkun (NYU)*; Alex Wang (NYU); Nikita Nangia (NYU); Amanpreet Singh (Facebook); Julian Michael (University of Washington); Felix Hill (DeepMind); Omer Levy (Facebook); Samuel R. Bowman (New York University)
Community Detection with Graph Convolutional Networks using Semi-supervised Node Classification Naw Safrin Sattar (University of New Orleans)*; Shaikh M. Arifuzzaman (University of New Orleans)
DDxNet: A Multi-Specialty Diagnostic Model for Clinical Time-Series Deepta Rajan (ibm research)*; Jayaraman J. Thiagarajan (Lawrence Livermore National Laboratory); Sameeksha Katoch (Arizona State University)
Towards an EmoCog Model for Multimodal Empathy Prediction Bita Azari (Simon Fraser University)*; Zhitian Zhang (Simon Fraser University); Angelica Lim (Simon Fraser University)
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition Mimansa Jaiswal (University of Michigan)*; Emily K Mower Provost (University of Michigan)
Preference modeling with context-dependent salient features Amanda Bower (University of Michigan)*; Laura Balzano (University of Michigan)
Predicting Dynamic Embedding of user and item for Personalized recommendation Shalini Pandey (University of Minnesota)*
Task-Aware Learned Image Compression Prachi Gupta (New York University)*; Siddharth Garg (New York University)
Object Recognition using a Region Detector Based on Hierarchies of Partitions Karla C Otiniano-Rodríguez (Esiee Paris (Paris-Est))*
Applying Machine Learning Algorithms for Kidney Disease Diagnosis yenatfanta S Bayleyegn (Ethiopian Biotechnology Institute)*; Meron Alemayehu (Ethiopian Biotechnology Institute)
An Evolutionary Multi-Objective Approach to Improved Decision-Making in Livestock Feed Formulation Senorpe Asem-Hiablie (Penn State University)*; Daniel Uyeh (Kyungpook National University)
The Medical Deconfounder: Assessing Treatment Effects with Electronic Health Records Linying Zhang (Columbia University)*; Yixin Wang (Columbia University); Anna Ostropolets (Columbia University); Jami Mulgrave (Columbia University); David Blei (Columbia University); George Hripcsak (Columbia University)
Tackling corporate climate change response with machine learning: Analysis of business performance in the context of climate change risks and opportunities shruti kulkarni (Indian institute of science)*; Patil Balachandra (Indian institute of science )
Deep learning-based Time-series Clustering for Identifying Product Usage Patterns Chaitali Gupta (Salesforce Inc.); Anna Novakovska (Salesforce)*; Robin Glinton (Salesforce)
Contextual Bandits in a Non-stationary Environment Qingyun Wu (University of Virginia)*; Hongning Wang (University of Virginia); Huazheng Wang (University of Virginia)

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