Program

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. The exact time and location TBD. The location will be walkable from the Vancouver Convention Center, and it will tentatively start sometime between 7:00 pm and 8:00 pm.

Tentative Schedule

The schedule below is still tentative and may change up to a few weeks before the workshop.

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

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
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
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
	very brief reminder on the D&I chairs
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, Natasha Jaques
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

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

List of Accepted Posters

Afternoon Poster Session

Paper Title	Authors
Adversarial Bipartite Matching	Sima Behpour (University of Pennsylvania)*; Brian Ziebart (UIC)
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)
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)*
Exploration via Hierarchical Meta Reinforcement Learning	Riya Sharma (Technical University Munich)*; Navneet M Kumar (TU Munich)
ORIN: The Nigerian music database for the automatic music genre classification with Machine Learning Models	Sakinat O Folorunso (Olabisi Onabanjo university)*
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)
Evaluating Saliency Maps Using Interventions	Akanksha Atrey (University of Massachusetts Amherst)*; Kaleigh Clary (University of Massachusetts); David Jensen (University of Massachusetts Amherst)
Enabling Global Observations using Machine Learning and Satellite Imagery	Esther Rolf (UC Berkeley)*; Jonathan Proctor (UC Berkeley); Tamma Carleton (University of Chicago); Ian Bolliger (UC Berkeley); Vaishaal Shankar (UC Berkeley); Miyabi Ishihara (UC Berkeley); Benjamin Recht (UC Berkeley); Solomon Hsiang (UC Berkeley)
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)*; KavithaSrinivas (IBM Research); Jiri Navratil (IBM Research)
Historical image captioning	Iryna Kostyshyn (Ukrainian Catholic University)*; Kostiantyn Liepieshov (Ukrainian Catholic University); Oles Dobosevych (Ukrainian Catholic University)
Malaria Prevalence and Prediction	Nkiruka Odu (African University of Science and Technology, Abuja)*
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)
Eye corners tracking for head movement estimation	Agostina Larrazabal (CONICET / Universidad Nacional del Litoral)*; Cesar Martinez (CONICET / Universidad Nacional del Litoral)
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)*
Predicting the aircraft engine’s health condition using classification algorithms and demonstrating the model performance measures	Oishi Deb (Aston University, Rolls-Royce, Sky)*
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)*; ZhixuanZhou (Hongyi Honor College)
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 ); AbhishekTiwari (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 (ASTAR); 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)*
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 Translationfor 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)
A Genetic Version of the Expectation Maximisation Algorithm for System Identification in a Non–linear Dynamical System	Thompho Rambuda (CSIR)*
Adaptive Genetic Algorithm for Improving Prediction Accuracy of a Multi-Criteria Recommender Systems	LatifatMiss 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)
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)

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)*; EdwinV 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); AaqibSaeed (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	SedighehZolaktaf (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	AsmitaPoddar (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 Detectionusing 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); RichardIvry (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)
Comparing Supervised and Unsupervised Evaluation Metrics to Evaluate GAN-Generated Images	Sasha Luccioni (Mila)*; Sharon Zhou (Stanford 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); ApoorvaSikka (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 ()
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)
Unsupervised evaluation of story 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)*; ShuoChen (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 (google)
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)*
A uni fied construction for series representations and fi nite approximations of completely random measures	Xenia Miscouridou (University of Oxford)*; Francois Caron (Oxford); Juho Lee (AITRICS)
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	VidhiLalchand (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)
Interpretable Crowdsourcing for Subjective Dialog Annotations	Judy Hanwen Shen (MIT)*
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)*; MihaelaCurmei (Microsoft); Tempest van Schaik (Microsoft); Bianca Furtuna(Microsoft); Eleanor Main (UCL Great Ormond Street Institute of Child Health); EmmaRaywood (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 (Iowa State 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)
Rethinking the Value of Asynchronous Solvers for Distributed Deep Learning	Arissa Wongpanich (UC Berkeley)*; Yang You (UC Berkeley); James W Demmel (UC Berkeley)
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)
Adaptive Masked Weight Imprinting for Few-shot Segmentation	Mennatullah Siam (University of Alberta)*; Boris Oreshkin (Element AI); Martin Jagersand (University of Alberta)
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)*
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)*; NoraAl-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 ()
Task-Aware Novelty Detection for Visual Models via Network Saliency	Valerie Chen (Yale University)*; Man-Ki Yoon (Yale University); Zhong Shao (Yale University)
Replacing Markov Chain Monte Carlo with Generative Flow Neural Networks	Kimmy K Cushman (Yale University)*; George Fleming (Yale University); CiaranHughes (Fermi National Accelerator Laboratory); James Simone (Fermi National Accelerator Laboratory); JoshuaIsaacson (Fermi National Accelerator Laboratory); Yin Lin (University of Chicago ); WilliamJay (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)*; PrasannaBalaprakash (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 MGowda (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)*
Multi-Decoder Network for Reconstruction of High Field-like MR Images	Prabhjot Kaur (Indian Institute of Technology, Mandi)*; Aditya Sharma (IIIT-Hyderabad); Aditya Nigam (IIT mandi); Arnav Bhavsar (IIT Mandi)
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 SamanthaSietchepin 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	LironneKurzman (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)
AdaBoost-Models Ensemble Learning to forecast Time serieswith high variance and nonlinear Trend	Belona Mary SONNA MOMO (AIMS)*
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)
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)
Using Stacked BDLSTMs for Fusion of Eye and Mouse Dynamics based User Authentication	Yudong Liu (Western Washington University)*; Yusheng Jiang (Western Washington University); JohnDevenere (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.); BrookeFitzgerald (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)*; Gerardde Melo (Rutgers University)
Online Change-Point Detection for High-Dimensional Data using Graphs	Yang-Wen Sun (Humboldt-Universität zu Berlin)*; KaterinaPapagiannouli (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)
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)*
Understanding Deep Networks via Extremal Perturbations and Smooth Masks	Ruth C Fong (University of Oxford)*; Mandela Patrick (University of Oxford); Andrea Vedaldi (Oxford 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	AnaB Rios-Alvarado (Autonomous University of Tamaulipas)*; Andrea G. Garcia-Perez (Autonomous University of Tamaulipas); TaniaGuerrero-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)
Anomaly Detection with Machine Learning	Janet Mutuku (African Institute for Mathematical Sciences)*
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)
Machine learning for odor molecules psychophysiological effect prediction	Eliane D Birba (KTH Royal Institute of Technology)*
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)
Multimodal Boredom Predictor for Empathetic Conversational Agent	Samiha Samrose (University of Rochester)*; Kavya Anbarasu (Affectiva); Ajjen Joshi (Affectiva); Taniya Mishra (Affectiva)
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)
End to End Learning for Autonomous Wheelchairs	NAJMEH TALEB (Blue Horizon AI)*; Jenny Midwinter (Blue Horizon AI)
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)*
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)
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); YueNing (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)
Using domain adaptation in Neural Language Model	Lavisha Aggarwal (Amazon Research)*
Augmentation at Test-Time: Cheap Increases in Off-the-Shelf Accuracy	DivyaShanmugam (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 (Stanford 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)
Non convex combinations in Multiple Kernel Leanrning	Gaelle Loosli (PobRun – LIMOS)*
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)*; HongningWang (University of Virginia); Huazheng Wang (University of Virginia)