ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets

Noa Lubin (Bar-Ilan University)*

When are Local Queries Useful for Robust Learning?

Pascale Gourdeau (University of Oxford)*; Varun Kanade (University of Oxford); Marta Kwiatkowska (Oxford University); James Worrell (University of Oxford)

Natural language processing for automated information extraction of cancer parameters from free-text pathology reports

Okechinyere J Achilonu (University of the Witwatersrand)*

Discriminative Candidate Selection for Image Inpainting

Lucia Cipolina-Kun (University of Bristol)*; Simone Caenazzo (Riskcare); Sergio Manuel S Papadakis (Konfío)

Determination of Neural Network Parameters for Path Loss Prediction in Very High Frequency Wireless Channel

Abigail O Jefia (Cisco Systems)*; Segun Popoola (Manchester Metropolitan University); Aderemi A. Atayero (Covenant University)

Development of predictive model for survival of paediatric HIV/AIDS patients in south western Nigeria using data mining techniques

Agbelusi Olutola (Rufus Giwa Polytechnic )*

Modelling non-reinforced preferences using selective attention

Noor Sajid (University College London)*; Panagiotis Tigas (Oxford University); Zafeirios Fountas (Huawei Technologies); Qinghai Guo (Huawei Technologies); Alexey Zakharov (Huawei Technologies); Lancelot Da Costa (Imperial College London)

Data Analysis and Machine Learning for Speech Music Playlist Generation

Maikey Zaki Khorani (Salahaddin University/College of Engineering)*

Meta Optimal Transport

Brandon Amos (Facebook AI Research); Samuel Cohen (University College London); Giulia Luise (University College London)*; Ievgen Redko (Aalto University)

Single-modality and joint fusion deep learning for diabetic retinopathy diagnosis

Sara EL-ATEIF (ENSIAS)*; Ali Idri (University Mohamed V)

Multi-Armed Bandit Problem with Temporally-Partitioned Rewards

Giulia Romano (Politecnico di Milano)*; Andrea Agostini (Politecnico di Milano); Francesco Trovò (Politecnico di Milano); Nicola Gatti (Politecnico di Milano); Marcello Restelli (Politecnico di Milano)

The use of Region-based Convolutional Neural Network Model for Analysing Unmanned Aerial Vehicle Remote Sensing

Odunayo E Oduntan (Chrisland University Abeokuta, Nigeria)*

Kernel Density Bayesian Inverse Reinforcement Learning

Aishwarya Mandyam (Stanford University)*; Didong Li (University of North Carolina); Diana Cai (Princeton University); Andrew Jones (Princeton University Department of Computer Science); Barbara Engelhardt (Stanford University)

Multimodal Checklists for Fair Clinical Decision Support

Qixuan Jin (Massachusetts Institute of Technology)*; Marzyeh Ghassemi (University of Toronto)

Investigating Reproducibility from the Decision Boundary Perspective

Gowthami Somepalli (University of Maryland, College Park)*; Arpit Bansal (University of Maryland - College Park); Liam Fowl (University of Maryland); Ping-yeh Chiang (University of Maryland, College Park); Yehuda Dar (Rice University); Richard Baraniuk (Rice University); Micah Goldblum (University of Maryland); Tom Goldstein (University of Maryland, College Park)

Development of a modified likelihood ratio model for handwriting identification in forensic science

Adeyinka O Abiodun (National Open University of Nigeria)*; Sesan Adeyemo (University of Ibadan); Adegboyega Adebayo (National Open University of Nigeria)

Self-Supervised Graph Representation Learning for chip design-partitioning on multi-FPGA platforms

Divyasree Tummalapalli (Intel Corporation)*; Chiranjeevi Kunapareddy (Intel Corporation); Vikas Akalwadi (Intel Corporation); Rahul Govindan (Intel Corporation); Balaji G (Intel Corporation)

Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty

Amanda M Buch (Weill Cornell Medicine, Cornell University)*; Conor Liston (Weill Cornell Medicine, Cornell University); Logan Grosenick (Weill Cornell Medicine, Cornell University)

Deep Metric Learning to predict cardiac pressure with ECG

Hyewon Jeong (MIT)*; Marzyeh Ghassemi (University of Toronto, Vector Institute); Collin Stultz (MIT)

Spatial clustering with random partitions on ovarian cancer data

Yunshan Duan (University of Texas at Austin)*; Peter Mueller (University of Texas); Wenyi Wang (MD Anderson); Shuai Guo (MD Anderson)

Object Segmentation of Cluttered Airborne LiDAR Point Clouds

Mariona Carós (Universitat de Barcelona)*; Ariadna Just (Institut Cartogràfic i Geològic de Catalunya); Santi Seguí (Universitat de Barcelona); Jordi Vitria (Universitat de Barcelona)

Identifying Disparities in Sepsis Treatment using Inverse Reinforcement Learning

Hyewon Jeong (MIT)*; Taylor W Killian (University of Toronto, Vector Institute); Sanjat Kanjilal (Harvard Medical School); Siddharth Nagar Nayak (Massachusetts Institute of Technology); Marzyeh Ghassemi (University of Toronto, Vector Institute)

Multi Mix Mask – RCNN (M3RCNN) for Instance Intervertebral Disc Segmentation

Malinda Vania (Ulsan National Institute of Science and Technology)*; Lim Sunghoon (Ulsan National Institute of Science and Technology)

The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck

Chen Shani (The Hebrew university of Jerusalem)*; Jonathan Zarecki (Bar-Ilan University); Dafna Shahaf (The Hebrew University of Jerusalem)

Towards an automatic classification for software requirements written in Spanish

María Isabel Limaylla Lunarejo (Universidade da Coruña)*

Exploiting Pretrained Biochemical Language Models for Targeted Drug Design

Gökçe Uludoğan (Bogazici University)*; Arzucan Özgür (Bogazici University); Elif Ozkirimli (Roche AG); Kutlu Ülgen (Bogazici University ); Nilgün Karalı (Istanbul University)

Curriculum learning for improved femur fracture classification: scheduling data with prior knowledge and uncertainty

Amelia Jiménez-Sánchez (IT University of Copenhagen)*; Diana Mateus (Centrale Nantes); Sonja Kirchhoff (TUM school of medicine); Chlodwig Kirchhoff (TUM school of medicine); Peter Biberthaler (TUM school of medicine); Nassir Navab ("TU Munich, Germany"); Miguel Angel González Ballester (Universitat Pompeu Fabra); Gemma Piella (Pompeu Fabra University)

Shortcuts in Public Medical Image Datasets

Amelia Jiménez-Sánchez (IT University of Copenhagen)*; Andreas Skovdal (ITU); Frederik Bechmann Faarup (ITU); Kasper Thorhauge Grønbek (ITU); Veronika Cheplygina (ITU)

Adaptively Identifying Patient Populations With Treatment Benefit in Clinical Trials

Alicia Curth (University of Cambridge)*; Alihan Hüyük (University of Cambridge); Mihaela van der Schaar (University of Cambridge)

Improving Robustness to Distribution Shift with Methods from Differential Privacy

Neha Hulkund (MIT)*

Quantifying Gender Bias in Hindi Language Models

Neeraja Kirtane (Manipal Institute of Technology)*; V Manushree (Manipal Institute Of Technology); Aditya Kane (Pune Institute of Computer Technology)

De novo PROTAC design using graph-based deep generative models

Divya V Nori (Massachusetts Institute of Technology)*; Connor Coley (MIT); Rocio Mercado (Massachusetts Institute of Technology)

Self-Contained Entity Discovery from Captioned Videos

Melika ayoughi (university of amsterdam)*; Paul Groth (University of Amsterdam); Pascal Mettes (University of Amsterdam)

Reduce False Negative in Distant supervised learning using Dependency tree-LSTM to Construct a Knowledge Graph

Samira Korani (NUIG)*, John McCrae (NUIG)

Break the bottleneck of AI deployment at the edge.

Paula Ramos (Intel)*; Helena Kloosterman (Intel); Samet Akcay (Intel); Yu-Chun Liu (Intel Corp.); Raymond Lo (Intel)

Towards probabilistic end-to-end Deep Learning Weather Forecasting: Spatio-Temporal Temperature Forecasting using Normalizing Flows

Christina Winkler (Technical University of Munich)*

Bias Assessment of Text-to-Image Models

Sasha Luccioni (Mila)*; Clementine Fourrier (Hugging Face); Nathan Lambert (Hugging Face); Unso Eun Seo Jo (Hugging Face); Irene Solaiman (Hugging Face); Helen Ngo (Hugging Face); Nazneen Rajani (Hugging Face); Giada Pistilli (Hugging Face); Yacine Jernite (Hugging Face); Margaret Mitchell (Hugging Face)

SO(3) Equivariant Framework for Spatial Networks

Sarp Aykent (Auburn University); Tian Xia (Auburn University)*

Protein Structure Ranking with Atom-level Geometric Representation Learning

Tian Xia (Auburn University)*; Sarp Aykent (Auburn University)

Detecting Synthetic Opioids with NQR Spectroscopy and Complex-Valued Signal Denoising

Amber J Day (Los Alamos National Laboratory)*; Natalie Klein (Los Alamos National Laboratory); Michael Malone (Los Alamos National Laboratory); Harris Mason (Los Alamos National Laboratory); Sinead A Williamson (UT Austin)

Identifying fine climatic parameters for high maize yield using pattern mining: case study from Benin (West Africa)

Souand Peace Gloria TAHI (University of Abomey-Calavi)*; Vinasetan Ratheil Houndji (Institut de Formation et de Recherche en Informatique, University of Abomey-Calavi); Castro Hounmenou (Laboratoire de Biomathématiques et d’Estimations Foresti`eres, Faculty of Agronomic Sciences, University of Abomey-Calavi); Romain Glèlè Kakaï (Laboratoire de Biomathématiques et d’Estimations Foresti`eres, Faculty of Agronomic Sciences, University of Abomey-Calavi)

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks

Kenza Amara (ETH Zurich)*; Rex Ying (Yale University); Ce Zhang (ETH)

Using Visual Similarity to Navigate eCommerce Inventory

Shubhangi Tandon (ebay inc)*; Christopher Miller (ebay inc); Selcuk Kopru (ebay); Senthilkumar Gopal (ebay inc)

Mixture of Gaussian Processes with Probabilistic Circuits for Multi-Output Regression

Mingye Zhu (University of Science and Technology of China)*; Zhongjie Yu (TU Darmstadt); Martin Trapp (Aalto University ); Arseny Skryagin (TU Darmstadt); Kristian Kersting (TU Darmstadt)

Synthetic Data Augmentation for Time Series Forecasting

Kasumi Ohno (Toyota Technological Institute)*; Kohei Makino (Toyota Technological Institute ); Makoto Miwa (Toyota Technological Institute); Yutaka Sasaki (Toyota Technological Institute)

Task-conditioned modelling of drug-target interactions

Emma Petersson Svensson (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)*; Pieter-Jan Hoedt (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Sepp Hochreiter (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Guenter Klambauer (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)

Can deep learning models understand natural language descriptions of patient symptoms following cataract surgery?

Mohita Chowdhury (Ufonia Limited)*; Oliver Gardiner (Ufonia Limited); Ernest Lim (Ufonia Limited); Aisling Higham (Ufonia Limited); Nick de Pennington (Ufonia Limited)

Hyperbolic Image Segmentation

Mina Ghadimi Atigh (University of Amsterdam)*; Julian M Schoep (Promaton); Erman Acar (Vrije Universiteit Amsterdam); Nanne van Noord (University of Amsterdam); Pascal Mettes (University of Amsterdam)

Maximum Class Separation as Inductive Bias in One Matrix

Tejaswi Kasarla (University of Amsterdam)*; Gertjan Burghouts (TNO); Max van Spengler (University of Amsterdam); Elise van der Pol (Microsoft Research); Rita Cucchiara (Università di Modena e Reggio Emilia); Pascal Mettes (University of Amsterdam)

CLOOME: Contrastive Learning for Molecule Representation with Microscopy Images and Chemical Structures

Ana Sanchez-Fernandez (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)*; Elisabeth Rumetshofer (JKU Linz); Sepp Hochreiter (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Guenter Klambauer (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)

Boosting Multi-modal Contrastive Learning with Modern Hopfield Networks and InfoLOOB

Andreas Fürst (JKU Linz); Elisabeth Rumetshofer (JKU Linz)*; Johannes Lehner (Johannes Kepler University); Viet T. Tran (Johannes Kepler University Linz); Fei Tang (Here Technologies); Hubert Ramsauer (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); David Kreil (Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH); Michael K Kopp (Institute of Advanced Research in Artificial Intelligence (IARAI) GmbH); Guenter Klambauer (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Angela Bitto-Nemling (JKU); Sepp Hochreiter (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)

Global-based Deep Q-Network for Molecule Generation

Asmaa Rassil (Faculty of science, University Chouaib Doukkali)*; Hiba Chougrad (University Sidi Mohamed Ben Abdellah); Hamid Zouaki (university Chouaib Doukkali)

A Semantically Conditioned Code-Mixed Natural Language Generation for Task-Oriented Dialog

Suman Dowlagar (International Institute of Information Technology-Hyderabad)*; Radhika Mamidi (IIIT Hyderabad)

Unified Autoencoder with Task Embeddings for Multi-Task Learning in Renewable Power Forecasting

Chandana Priya Nivarthi (University of Kassel)*; Stephan Vogt (University of Kassel); Bernhard Sick (University of Kassel)

Modern Hopfield Networks for Iterative Learning on Tabular Data

Bernhard Schäfl (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Lukas Gruber (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria); Angela Bitto-Nemling (JKU)*; Sepp Hochreiter (LIT AI Lab, Institute for Machine Learning, Johannes Kepler University Linz, Austria)

Delirium Prediction using Long Short-Term Memory (LSTM) in the Electronic Health Record

Siru Liu (Vanderbilt University Medical Center)*; Joseph Schlesinger (Department of Anesthesiology, Division of Critical Care Medicine, Vanderbilt University Medical Center); Allison McCoy (Department of Biomedical Informatics, Vanderbilt University Medical Center); Thomas Reese (Department of Biomedical Informatics, Vanderbilt University Medical Center); Bryan Steitz (Department of Biomedical Informatics, Vanderbilt University Medical Center); Elise Russo (Department of Biomedical Informatics, Vanderbilt University Medical Center); Adam Wright (Department of Biomedical Informatics, Vanderbilt University Medical Center)

Evaluating and Improving Robustness of Self-Supervised Representations to Spurious Correlations

Kimia Hamidieh (University of Toronto, Vector Institute)*; Haoran Zhang (MIT); Marzyeh Ghassemi (University of Toronto, Vector Institute)

FACTORS INFLUENCING POSTGRADUATE STUDENTS' ACADEMIC PERFORMANCE: MACHINE LEARNING APPROACH.

Ayodele Esther Awokoya (University of ibadan)*

A Simple Phoneme-based Error Simulator for ASR Error Correction

Mohita Chowdhury (Ufonia Limited)*; Oliver Gardiner (Ufonia Limited); Yishu Miao (Ufonia Limited)

Deep Learning methods for biotic and abiotic stresses detection in fruits and vegetables: state of the art and perspectives

Ariane Houetohossou (University of Abomey-Calavi)*; Ratheil Vinasetan HOUNDJI (2Institut de Formation et de Recherche en Informatique, University of University of Abomey-Calavi); Castro Gbêmêmali HOUNMENOU (Laboratoire de Biomathématiques et d’Estimations Forestières, Faculty of Agronomic Sciences, University of Abomey-Calavi); Rachidatou SIKIROU (Laboratoire de Défense des Cultures, Centre de Recherches Agricoles d’Agonkanmey, Institut National des Recherches Agricoles du Bénin (INRAB)); Romain Lucas GLELE KAKAÏ (Laboratoire de Biomathématiques et d’Estimations Forestières, Faculty of Agronomic Sciences, University of Abomey-Calavi)

Follow the Flow: An Affective Computing Interface for the On-Line Detection of Flow Mental State

Elena Sajno (Università di Pisa)*; G. Riva (Catholic University of Milan, Italy); Nicole Novielli (University of Bari)

Under-Counted Tensor Completion with Neural Network-based Side Information Learner

Shahana Ibrahim (Oregon State University)*; Xiao Fu (Oregon State University); Rebecca Hutchinson (Oregon State University); Eugene Seo (Brown University)

Detecting State Changes in Dynamic Neuronal Networks

Yiwei Gong (UT Austin)*; Sinead A Williamson (UT Austin)

Learning to Defer in Ranking Systems

Aparna Balagopalan (MIT)*; Haoran Zhang (MIT); Elizabeth Bondi-Kelly (MIT); Thomas Hartvigsen (MIT); Marzyeh Ghassemi (University of Toronto, Vector Institute)

Categorizing Online Harassment on Twitter using Graph Convolutional Networks

Mozhgan Saeidi (Stanford University)*

A Domain-Oblivious Approach for Learning Concise Representations of Filtered Topological Spaces for Clustering

Yu Qin (Tulane University)*; Brittany Fasy (Montana University); Carola Wenk (Tulane University); Summa Brian (Tulane University)

A Recommendation System in Task-Oriented Doctor-Patient Interactions

Suman Dowlagar (International Institute of Information Technology-Hyderabad)*; Radhika Mamidi (IIIT Hyderabad)

Explaining Predictive Uncertainty by Looking Back at Model Explanations

Hanjie Chen (University of Virginia)*; Wanyu Du (University of Virginia); Yangfeng Ji (University of Virginia)

DaME: Data Mapping Engine for Financial Services

Shubhi Asthana (IBM Research - Almaden)*; Ruchi Mahindru (IBM Watson Research Center)

Improved Text Classification via Test-Time Augmentation

Helen Lu (Massachusetts Institute of Technology (MIT))*; Divya Shanmugam (MIT); Harini Suresh (MIT); John Guttag (MIT)

Model Interpretation based Sample Selection in Large-Scale Conversational Assistants

Kiana Hajebi (Amazon Alexa AI)*

Human-AI Interaction in Selective Prediction Systems

Elizabeth Bondi-Kelly (MIT)*; RAPHAEL KOSTER (DeepMind); Hannah Sheahan (DeepMind); Martin Chadwick (DeepMInd); Yoram Bachrach; Taylan Cemgil (DeepMind); Ulrich Paquet (DeepMind); Krishnamurthy Dvijotham (DeepMind)

User-interactive, On-demand Cycle-GAN-Based Super Resolution and Focus Recovery on Whole Slide Images (WSI)

Huimin Zhuge (Tulane University)*; Summa Brian (Tulane University); J.Quincy Brown (Tulane University)

Self Supervised Learning in Microscopy

Aastha Jhunjhunwala (NVIDIA)*; Siddha Ganju (Nvidia)

Machine Learning for the detection of diabetic retinopathy

Francisca O Oladipo (Thomas Adewumi University)*; Taiwo Amusan (Federal University Lokoja)

​Topic: Building Identification In Aerial Imagery using Deep learning

Proscovia Nakiranda (Stellenbosch University)*

Dynamic Head Pruning in Transformers

Prisha Satwani (The London School of Economics and Political Science )*; yiren zhao (University of Cambridge); Vidhi Lalchand (University of Cambridge ); Robert Mullins (University of Cambridge)

Mobile-PDC: High-Accuracy Plant Disease Classification for Mobile Devices.

Samiiha Nalwooga (Stockholm University)*; Henry Mutegeki (Makerere University )

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

Sakshi Varshney (IIT Hyderabad)*; Vinay K Verma (IIT Kanpur); Srijith PK (IIT, Hyderabad, India); Piyush Rai (IIT Kanpur); Lawrence Carin Duke (CS)

Modeling Sharing Time Of Fake And Real News

Maya Zeng (Boise State University)*; Cooper Doe (Colorado College); Vladimir Knezevic (City College of San Francisco); Francesca Spezzano (Boise State University); Liljana Babinkostova (Boise State University)

Interaction Classification with Key Actor Detection in Multi-Person Sport Videos

Farzaneh Askari (University of McGill)*; Rohit Ramaprasad (Birla Institute of Technology and Science); James Clark (McGill University); Martin Levine (McGill University)

Estimating Fairness in the Absence of Ground-Truth Labels

Michelle Bao (Stanford University)*; Jessica Dai (UC Berkeley); Keegan Hines (Arthur AI); John Dickerson (Arthur AI)

Motor Imagery ECoG Signal Classification With Optimal Selection Of Minimum Electrodes

Tuga Abdelkarim Ahmed (nile center for technology research)*; Shubham Kumar (.); Ruoqi Huang (.)

A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow

Bo Zhao (University of California, San Diego)*; Iordan Ganev (Radboud University); Robin Walters (Northeastern University); Rose Yu (UC San Diego); Nima Dehmamy (IBM Research)

Generating High-Quality Emotion Arcs Using Emotion Lexicons

Daniela Teodorescu (University of Alberta)*; Saif Mohammad (National Research Council, Canada)

Exposure Fairness in Music Recommendation

Rebecca Salganik (Universite de Montreal )*; Fernando Diaz (Google); Golnoosh Farnadi (Mila, HEC Montreal, Université de Montréal)

DeepWear: Towards an Automated Textiles Materials Classification using a Taxonomy-based ML Approach

Shu Zhong (University College London)*; Miriam Ribul (Royal College of Art); Youngjun Cho (University College London); Marianna Obrist (University College London)

Revisiting Graph Neural Network Embeddings

Skye Purchase (University of Cambridge)*; yiren zhao (University of Cambridge); Robert Mullins (University of Cambridge)

Estimating the Treatment Effect of Antibiotics Exposure on the Risk of Developing Anti-Microbial Resistance

Hyewon Jeong (MIT)*; Kexin Yang (Harvard School of Public Health); Ziming Wei (Harvard School of Public Health); Yidan Ma (Harvard School of Public Health); Intae Moon (MIT); Sanjat Kanjilal (Harvard Medical School)

Can we explain Aha! moments in artificial agents ?

Ikram Chraibi Kaadoud (IMT Atlantique)*; Adrien Bennetot (Segula Technologies - Sorbonne Université - Ensta ParisTech); Barbara Mawhin (Human Factors Department, EBT-Salient Aero Foundation); Vicky Charisi (European Commission, Joint Research Center (JRC)); Natalia Diaz-Rodriguez (Department of Computer Science and Artificial Intelligence, DaSCI Andalusian Institute in Data Science and Computational Intelligence, University of Granada)

Multimodal Deep Learning for Weapon Detection

Parie R Desai (Marietta High School)*; Prajwal Saokar (Berry College); William Wansing (Mill Creek High School)

The Role of Expert-driven Prompt Engineering for Fine-grained Zero-shot Classification in Fashion

Dhanashree Balaram (Lily AI)*; Matthew Nokleby (LILY AI); Thiyagarajan Ramanathan (Lily AI); Ajitesh Gupta Gupta (Lily AI); Ravi Kannan (Lily AI)

Explaining complex system of multivariate times series behavior

Ikram Chraibi Kaadoud (IMT Atlantique)*; Lina Fahed (IMT Atlantique, Lab-STICC); Tian Tian (IMT Atlantique, Lab-STICC); Yannis Haralambous (IMT Atlantique); Philippe Lenca (IMT Atlantique)

Computational models of Language Variation in Literary Narratives

Krishnapriya Vishnubhotla (University of Toronto)*

Graph Transformer Networks for Nuclear Proliferation Detection in Urban Environments

Anastasiya Usenko (Pacific Northwest National Laboratory)*; Sameera Horawalavithana (Pacific Northwest National Laboratory); Ellyn Ayton (Pacific Northwest National Laboratory); Joon-Seok Kim (Pacific Northwest National Laboratory); Svitlana Volkova (Pacific Northwest National Laboratory)

Automated Staging of Breast Cancer Histopathology Images Using Deep Learning.

Angela M Crabtree (Providence Portland Medical Center (Earle A. Chiles Research Institute), University of Oregon)*; Narmada Naik (University Of Montreal); Kevin L Matlock (Omics Data Automation)

Gaussian Process parameterized Covariance Kernels for Non-stationary Regression

Vidhi Lalchand (University of Cambridge )*; Talay M Cheema (University of Cambridge); Laurence Aitchison (University of Bristol); Carl Edward Rasmussen (Cambridge University)

Heart Disease Prediction Using Machine Learning Techniques

Asegunloluwa E Babalola (Anchor University, Lagos)*; Tekena Solomon (Anchor University, Lagos)

Multi-group Reinforcement Learning for Electrolyte Repletion

Promise Osaine Ekpo (Princeton University)*; Barbara Engelhardt (Princeton University)

Trading off Utility, Informativeness, and Complexity in Emergent Communication

Mycal Tucker (MIT); Julie A. Shah (MIT); Roger Levy (Massachusetts Institute of Technology); Noga Zaslavsky (MIT)*

Mitigating Online Grooming with Federated Learning

Khaoula Chehbouni (HEC Montreal); Gilles Caporossi (HEC Montreal); Reihaneh Rabbany (McGill University)*; Martine De Cock (University of Washington Tacoma); Golnoosh Farnadi (Mila, HEC Montreal, Université de Montréal)

Towards Private and Fair Federated Learning

Sikha Pentyala (University of Washington, Tacoma)*; Nicola Neophytou (Mila); anderson nascimento (UW); Martine De Cock (University of Washington Tacoma); Golnoosh Farnadi (Mila, HEC Montreal, Université de Montréal)

Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy

Rachel Redberg (UC Santa Barbara); Yuqing Zhu (UC Santa Barbara)*; Yu-Xiang Wang (UC Santa Barbara)

Characteristics of White Helmets Disinformation vs COVID-19 Misinformation

Anika M Halappanavar (Pacific Northwest National Laboratory )*; Maria Glenski (Pacific Northwest National Laboratory)

Biomedical Word Sense Disambiguation with Contextualized Representation Learning

Mozhgan Saeidi (Stanford University)*

Model Understanding and Debugging at The Level of Subpopulation

Jun Yuan (New York University)*

Fair Active learning by exploiting causal data structure

Sindhu C M Gowda (University of Toronto)*; Haoran Zhang (MIT); Marzyeh Ghassemi (University of Toronto)

Preference-Aware Constrained Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi (Washington State University)*; Syrine Belakaria (Washington State university); Janardhan Rao Doppa (Washington State University)

Preliminary Study for Impact of Social Media Networks on Traffic Prediction

Valeria Laynes Fiascunari (University of Central Florida)*; Luis Rabelo (University of Central Florida)

Explanation-Guided Learning for Human-AI collaboration

Silvia Tulli (Instituto Superior Técnico)*

Trust Me Not: Trust Scoring for Continuous Model Monitoring

Nandita Bhaskhar (Stanford University)*; Daniel Rubin (Stanford University); Christopher Lee-Messer (Stanford University)

Multispectral Masked Autoencoder for Remote Sensing Representation Learning

Yibing Wei (University of Wisconsin - Madison)*; Zhicheng Yang (PAII Inc.); Hang Zhou (PAII, Inc.); Mei Han (PAII Inc.); Pedro Morgado (University of Wisconsin-Madison); Jui-Hsin Lai (PAII Inc.)

Learning Pedestrian Behaviour for Autonomous Vehicle Interactions

Fanta Camara (University of Leeds)*

Comparing neural population responses based on pairwise $p$-Wasserstein distance between topological signatures

Liu Zhang (Princeton University)*; Fei Han (National University of Singapore); KELIN XIA (NANYANG TECHNOLOGICAL UNIVERSITY)

Adversarial Analysis of Fake News Detectors

Annat Koren (City College of San Francisco)*; Hunter Ireland (Boise State University); Sandra D Luo (Timberline High School); Eryn Jagelski-Buchler (Boise State University); Edoardo Serra (Boise State University); Francesca Spezzano (Boise State University)

Fast Parameter Tuning for Rule-base Planners towards Human-like Driving

Shu Jiang (Apollo Autonomous Driving )*; Szu-Hao Wu (Apollo Autonomous Driving)

Model Averaging to Learn Bayesian Network Structures with Non-Linear Structured Representations

Charupriya Sharma (University of Waterloo)*

Augmenting Driver Decision-Making Using Meta-Inverse Reinforcement Learning

Mayuree Binjolkar (University of Washington)*; Yana Sosnovskaya (University of Washington)

Explaining black-box models in natural language through fuzzy linguistic summaries - Bipolar Disorder case study

Olga Kaminska (Systems Research Institute Polish Academy of Sciences)*; Katarzyna Kaczmarek-Majer (SRI PAS)

Physics-Constrained Deep Learning for Climate Downscaling

Paula Harder (Fraunhofer ITWM)*; Qidong Yang (New York University); Venkatesh Ramesh (Mila); Prasanna Sattigeri (IBM Research); Alex Hernandez-Garcia (Mila - Quebec AI Institute); Campbell D Watson (IBM Reserch); Daniela Szwarcman (IBM Research); David Rolnick (McGill University, Mila)

Graph Convolutional Neural Network-based Quality Assessment of Light Field Images

Sana Alamgeer (Universidade de Brasilia, Brazil)*

Erased text retrieval from historical palimpsest manuscripts using deep autoregressive priors

Anna Starynska (Rochester Institute of Technology)*; David Messinger (Rochester Institute of Technology)

Mask R-CNN model for banana diseases segmentation

Neema Mduma (The Nelson Mandela African Institution of Science and Technology)*; Christian A Elinisa (The Nelson Mandela African Institution of Science and Technology)

Security, IP protection, Privacy on Federated Learning and Machine Learning Edge Devices

Mahdieh Grailoo (Tallinn University of Technology)*

SOIL MINERAL DEFICIENCY DETECTION USING A DEEP LEARNING ALGORITHM COMMONLY KNOWN AS CONVOLUTIONAL NEURAL NETWORKS

JEAN Mrs. AMUKWATSE (UTAMU)*

P53 in Ovarian Cancer: Heterogenous Analysis of KeyBERT, BERTopic, PyCaret and LDAs methods

Mary Adewunmi (UTAS,Hobart,Australia)*; Richard Oveh (Benson Idahosa University); Christopher Yeboah (PDM University); Solomon A Olorundare (University of Lagos); Ezeobi Peace (Mbarara University of Science and Technology )

Graph-Transformer for Cross-lingual Plagiarism Detection

Oumaima Hourrane (University of Hassan II)*

Deep Multi-Modal Structural Equations For Causal Effect Estimation With Unstructured Proxies

Shachi Deshpande (Cornell University)*; Kaiwen Wang (Cornell University); Dhruv Sreenivas (Cornell University); Zheng Li (Cornell University); Volodymyr Kuleshov (Cornell University)

A recommendation system for technology intelligence based on multiplex networks

Foutse Yuehgoh (African institut for mathematical sciences )*

Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base

Taiwo Kolajo (Department of Computer Science, Federal University Lokoja, Kogi State, Nigeria)*; Olawande Daramola (CPUT, Cape Town, South Africa ); Ayodele Adebiyi (Department of Computer Science, Landmark University)

Attention-Augmented ST-GCN for Efficient Skeleton-based Human Action Recognition

Negar Heidari (Aarhus University)*; Alexandros Iosifidis (Aarhus University)

Leveraging artificial intelligence for automatic depression detection using speech recognition.

Hewitt Tusiime (Makerere University)*; Alvin Nahabwe (Makerere University ); Julius Kimuli (Makerere University); Grace Babirye (Laboremus Uganda)

Shapelet Guided Counterfactual Explanation Generation for Black-Box Time Series Classifiers

Tina Han (ConsumerAffairs)*; Jette Henderson (CognitiveScale)

Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss

Banafshe BF Felfeliyan (University of Calgary)*; Abhilash Rakkunedeth (University of Alberta); Jacob Jaremko (University of Alberta); Janet Ronsky (University of Calgary)

Human trafficking detection using lockstep behaviour methods

Maricarmen MA Arenas (Mila)*; reihaneh rabbany (Mila); Golnoosh Farnadi (Mila)

Improving Induced Valence Recognition by Integrating Acoustic Sound Semantics in Movies

Shreya G Upadhyay (National Tsing Hua University)*; Bo-Hao Su (Department of Electrical Engineering, National Tsing Hua University); Chi-Chun Lee (Department of Electrical Engineering, National Tsing Hua University)

Efficient Hospital Management via Length of Stay prediction using Domain Adaptation

Lyse Naomi Momo Wamba (KU Leuven)*; Nyalleng Moorosi (Google); Elaine Nsoesie (Boston University); Frank Rademakers (UZ Leuven); Bart DeMoor (KU Leuven)

Reinforcement Learning for Cost to Serve

Pranavi Pathakota (TCS Research)*; Kunwar Zaid (TCS Research); Hardik Meisheri (TCS Research); Harshad Khadilkar (TCS Research)

Dual Channel Training of Large Action Spaces in Reinforcement Learning

Pranavi Pathakota (TCS Research)*; Hardik Meisheri (TCS Research); Harshad Khadilkar (TCS Research)

Robustness in Weighted Networks

Luisa Cutillo (University of Leeds)*; Valeria Policastro (National Research Council); Annamaria Carissimo (National Research Council)

Mapping Slums with Machine Learning and Medium-Resolution Satellite Imagery

Agatha Mattos (University College Dublin)*; Michela Bertolotto (University College Dublin); Gavin McArdle (University College Dublin)

Investigating the Effects of Environmental Factors on the Detection of Laryngeal Cancer from Speech Signals Using Machine Learning

Mary L Paterson (University of Leeds)*; Luisa Cutillo (University of Leeds); James Moor (Leeds Teaching Hospitals NHS Trust)

3D-LatentMapper: View Agnostic Single-View Reconstruction of 3D Shapes

Alara Dirik (Bogazici University)*; Pinar Yanardag (Bogazici University)

Toward Qualitative Mechanical Problem-Solving using Hybrid AI

Shreya Bhowmick Banerjee (Rensselaer Polytechnic Institute)*; Selmer Bringsjord (Rensselaer Polytechnic Institute); Naveen Govindarajulu (RPI)

Fair Targeted Immunization with Dynamic Influence Maximization

Nicola Neophytou (Mila)*; Golnoosh Farnadi (Mila, HEC Montreal, Université de Montréal)

You Only Live Once: Single-Life Reinforcement Learning via Learned Reward Shaping

Annie S Chen (Stanford University)*; Archit Sharma (); Sergey Levine (UC Berkeley); Chelsea Finn (Stanford)

Wild-Time: A Benchmark of in-the-Wild Distribution Shift over Time

Caroline Choi (Stanford University)*; Huaxiu Yao (Stanford University); Yoonho Lee (Stanford University); Pang Wei Koh (Stanford University); Chelsea Finn (Google)

Probabilistic Querying of Continuous-Time Sequential Events

Alex J Boyd (UC Irvine); Yuxin Chang (University of California, Irvine)*; Stephan Mandt (University of California, Irivine); Padhraic Smyth (University of California, Irvine)

Resume Parsing using an ensemble of CNN, Bi-LSTM and CRF in a Hard Voting Predictive Approach

Scholastica N Mallo (Nigeria Defence Academy)*; Francisca Nonyelum Ogwueleka (Department of Computer Science Nigerian Defence Academy Kaduna, Nigeria); Philip Odion (Nigeria Defence Academy); Martin Irhebhude (Nigeria Defence Academy, Kaduna)

Transformers for Synthesized Speech Detection

Emily Bartusiak (Purdue University)*

Polynomials in Bayesian Problems

Lilian Wong (Borealis AI)*; Evans Harrell (Georgia Tech)

Estimating Uncertainty in Safety-Critical Deep Learning Models

Oishi Deb (University of Oxford)*

Adaptive Temporal Pattern Matching

Sepideh Koohfar (University of New Hampshire)*

Respiratory Conditions (EIPH, PLH, and Mucus) in Racehorses

Allison B Fisher (Washington State University)*; Warwick Bayly (Washington State University); Sierra Shoemaker (Washington State University); Julia Bagshaw (Washington State University); Yuan Wang (Washington State University); Macarena Sanz (Washington State University)

Shared Hardware, Shared Baselines: An Offline Robotics Benchmark

Gaoyue Zhou (CMU)*; Victoria Dean (CMU)

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

Noga Mudrik (The Johns Hopkins University)*; Yenho Chen (Georgia Institute of Technology); Eva Yezerets (The Johns Hopkins University); Christopher J Rozell (Georgia Institute of Technology); Adam Charles (Johns Hopkins University)

Probabilistic Interactive Segmentation for Medical Images

Hallee E Wong (MIT)*; John Guttag (MIT); Adrian V Dalca (MIT)

Evaluation of Active Learning and Domain Adaptation on Health Data

Kristina Holsapple (University of Delaware)*; Haoran Zhang (MIT); Marzyeh Ghassemi (University of Toronto, Vector Institute)

Towards interpretable health monitoring and service anomaly detection in the cloud

Yueying Li (Cornell)*; Edward Suh (Cornell University); Christina Delimitrou (Cornell)

Hearing Touch: Using Contact Microphones for Robot Manipulation

Shaden N Alshammari (Massachusetts Institute of Technology)*; Victoria Dean (CMU); Tess Hellebrekers (Meta AI); Pedro Morgado (University of Wisconsin-Madison); Abhinav Gupta (Carnegie Mellon University Robotics Institute)

Adapting the Function Approximation Architecture in Online Reinforcement Learning

John D Martin (University of Alberta); Joseph Modayil (DeepMind); Fatima Davelouis Gallardo (University of Alberta)*; Michael Bowling (University of Alberta)

FMAM: A novel Factorization Machine based Attention Mechanism for Forecasting Time Series Data

Fahim T Azad (Arizona State University)*

The WiML Board and Committee would like to thank all the reviewers that helped:

Adriana Romero-Soriano (FAIR)

Alaa Bessadok (University of Sousse, Tunisia)

Amita Misra (IBM)

Angelica Aviles-Rivero (University of Cambridge)

Ankita Shukla (ASU)

Anna Klimovskaia Susmelj (Swiss Data Science Center)

Asra Aslam (Insight Centre for Data Analytics, Ireland)

Beyza Ermis (Boğaziçi University)

Bingshan Hu (University of Alberta)

Bo Dong (Amazon)

Celestine Mendler-Dünner (Max Planck Institute for Intelligent Systems, Tübingen)

Claire Vernade (Deepmind)

Dalin Guo (UC San Diego; Twitter, Inc.)

Deepika Bablani (IBM Research)

Erin Grant (UC Berkeley)

Gowthami Somepalli (University of Maryland, College Park)

Han Shao (Toyota Technological Institute at Chicago)

Hanjie Chen (University of Virginia)

Ilke Demir (Intel Corporation)

Isabela Albuquerque (DeepMind)

Ishita Mediratta (BITS Pilani K.K. Birla Goa Campus)

Itir Onal Ertugrul (Utrecht University)

Kasturi Bhattacharjee (AWS AI, Amazon)

Kavya Gupta (Centralesupelec)

Kuan-Ting Chen (National Taiwan University)

Maria Glenski (Pacific Northwest National Laboratory)

Maria Lomeli (Meta)

Mayoore Jaiswal (University of Washington)

Mengjiao Wang (Amazon Visual Search)

Mina Ghadimi Atigh (University of Amsterdam)

Minhae Kwon (Soongsil University)

Naga Vara Aparna Akula (CSIR-CSIO)

Natalia Efremova (Queen Mary University, London)

Nesime Tatbul (Intel Labs and MIT)

Niha Beig Case (Western Reserve University)

Nora Hollenstein (University of Copenhagen)

Obioma Pelka (University of Applied Sciences and Arts Dortmund)

Ozge Nilay Yalcin (Simon Fraser University)

Pascale Gourdeau (University of Oxford)

Peixian Liang (University of Notre Dame)

Priyadarshini Kumari (Sony AI)

Rania Ibrahim (Purdue University)

Sakinat Folorunso Olabisi Onabanjo university

Samira Daruki (Expedia Research)

Sanae Lotfi (New York University)

Sandareka Wickramanayake (National University of Singapore)

Sandya mannarswamy (Intel India)

Sara Magliacane (University of Amsterdam)

Sasha Luccioni (Mila)

Shahana Ibrahim (Oregon State University)

Shailee Jain (The University of Texas at Austin)

Shimeng Peng (Nagoya university)

Shinjini Ghosh (Massachusetts Institute of Technology)

Shuai Zhang (Amazon)

Sinem Aslan (Ca' Foscari University of Venice)

Siru Liu (Vanderbilt University Medical Center)

Sonali Agarwal (IIIT-Allahabad)

Subarna Tripathi (Intel Labs)

Surangika Ranathunga (University of Moratuwa)

Svitlana Volkova (Pacific Northwest National Laboratory)

Syrine Belakaria (Washington State university)

Tania Lorido-Botran (Independent Researcher)

Utkarshani Jaimini (Artificial Intelligence (AI) Institute- University of South Carolina)

Veronika Cheplygina (ITU)

Vidhi Lalchand (University of Cambridge)

Vishwali Mhasawade (New York University)

Weiyan Shi (Columbia University)

Xi Rao (ETH)

Xiao Zhang (T-Mobile)

Xinyi Chen (Google)

Xun Tang (Yelp)

Yao Qin (University of California, San Diego)

Yixin Wang (University of Michigan)