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) |