ICLRW 2023
398 papers
A Framework for Grassroots Research Collaboration in Machine Learning and Global Health
Christopher Brian Currin, Mercy Nyamewaa Asiedu, Chris Fourie, Benjamin Rosman, Houcemeddine Turki, Atnafu Lambebo Tonja, Jade Abbott, Marvellous Ajala, Sadiq Adewale Adedayo, Chris Chinenye Emezue, Daphne Machangara A Kernel-Based View of Language Model Fine-Tuning
Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora A Machine Learning Approach to Generate Quantum Light
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie A Multi-Omics Visible Deep Network for Drug Activity Prediction
Luigi Ferraro, Giovanni Scala, Luigi Cerulo, Emanuele Carosati, Michele Ceccarelli Adapting to the Low-Resource Double-Bind: Investigating Low-Compute Methods on Low-Resource African Languages
Colin Leong, Herumb Shandilya, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Joel Mathew, Abdul-Hakeem Omotayo, Oreen Yousuf, Zainab Akinjobi, Chris Chinenye Emezue, Shamsudeen Muhammad, Steven Kolawole, Younwoo Choi, Tosin Adewumi Adaptive Interventions for Global Health: A Case Study of Malaria
Africa Perianez Santiago, Andrew Trister, Madhav Nekkar, Ana Fernandez del Rio, Pedro Alonso AfriNames: Most ASR Models "butcher" African Names
Tobi Olatunji, Tejumade Afonja, Bonaventure F. P. Dossou, Atnafu Lambebo Tonja, Chris Chinenye Emezue, Amina Mardiyyah Rufai, Sahib Singh AfriSign: Machine Translation for African Sign Languages
Shester Gueuwou, Kate Takyi, Mathias Müller, Marco Stanley Nyarko, Richard Adade, Rose-Mary Owusuaa Mensah Gyening AfroDigits: A Community-Driven Spoken Digit Dataset for African Languages
Chris Chinenye Emezue, Sanchit Gandhi, Lewis Tunstall, Abubakar Abid, Joshua Meyer, Quentin Lhoest, Pete Allen, Patrick Von Platen, Douwe Kiela, Yacine Jernite, Julien Chaumond, Merve Noyan, Omar Sanseviero aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving with Long-Range Perception
Tamas Matuszka, Ivan Barton, Ádám Butykai, Péter Hajas, Dávid Kiss, Domonkos Kovács, Sándor Kunsági-Máté, Péter Lengyel, Gábor Németh, Levente Pető, Dezső Ribli, Dávid Szeghy, Szabolcs Vajna, Balint Viktor Varga Augmentation Backdoors
Joseph Rance, Yiren Zhao, Ilia Shumailov, Robert D. Mullins AWE: Adaptive Weight-Space Ensembling for Few-Shot Fine-Tuning
Jean-Christophe Gagnon-Audet, Ricardo Pio Monti, David J. Schwab BackdoorBox: A Python Toolbox for Backdoor Learning
Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia Bayesian Regularization of Empirical MDPs
Samarth Gupta, Daniel N. Hill, Lexing Ying, Inderjit S Dhillon Behavioral Cloning for Crystal Design
Prashant Govindarajan, Santiago Miret, Jarrid Rector-Brooks, Mariano Phielipp, Janarthanan Rajendran, Sarath Chandar Benchmarking 3D Perception Robustness to Common Corruptions and Sensor Failure
Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu Benchmarking Bird's Eye View Detection Robustness to Real-World Corruptions
Shaoyuan Xie, Lingdong Kong, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu Beyond Temporal Credit Assignment in Reinforcement Learning
Sephora Madjiheurem, Kim Stachenfeld, Peter Battaglia, Jessica B Hamrick Bootstrapped Representations in Reinforcement Learning
Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney Broken Neural Scaling Laws
Ethan Caballero, Kshitij Gupta, Irina Rish, David Krueger Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning
Mitsuhiko Nakamoto, Yuexiang Zhai, Anikait Singh, Yi Ma, Chelsea Finn, Aviral Kumar, Sergey Levine Chain-of-Thought Predictive Control
Zhiwei Jia, Fangchen Liu, Vineet Thumuluri, Linghao Chen, Zhiao Huang, Hao Su CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
Zachary Novack, Julian McAuley, Zachary Chase Lipton, Saurabh Garg Clinical Trajectory Representations for Clustering
Haobo Li, Alizée Pace, Martin Faltys, Gunnar Ratsch Clinically Relevant Unsupervised Online Representation Learning of ICU Waveforms
Faris Faried Gulamali, Ashwin Shreekant Sawant, Ira Hofer, Matt Levin, Karandeep Singh, Benjamin S Glicksberg, Girish N Nadkarni Compositional and Elemental Descriptors for Perovskite Materials
Jiri Hostas, Maicon Pierre Lourenço, John Garcia, Hatef Shahmohamadi, Alain Tchagang, Karthik Shankar, Venkataraman Thangadurai, Dennis R. Salahub Concept Discovery and Dataset Exploration with Singular Value Decomposition
Mara Graziani, An-phi Nguyen, Laura O'Mahony, Henning Müller, Vincent Andrearczyk Conformal Prediction Masks: Visualizing Uncertainty in Medical Imaging
Gilad Kutiel, Regev Cohen, Michael Elad, Daniel Freedman, Ehud Rivlin Conservative Prediction via Transductive Confidence Minimization
Caroline Choi, Fahim Tajwar, Yoonho Lee, Huaxiu Yao, Ananya Kumar, Chelsea Finn Considerations for Distribution Shift Robustness in Health
Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml Constructing and Compressing Global Moment Descriptors from Local Atomic Environments
Vahe Gharakhanyan, Max Shirokawa Aalto, Aminah Alsoulah, Nongnuch Artrith, Alexander Urban Convolutional Neural Operators
Bogdan Raonic, Roberto Molinaro, Tobias Rohner, Siddhartha Mishra, Emmanuel de Bezenac Cross-Quality Few-Shot Transfer for Alloy Yield Strength Prediction: A New Material Science Benchmark and an Integrated Optimization Framework
Xuxi Chen, Tianlong Chen, Everardo Yeriel Olivares, Kate Elder, Scott McCall, Aurelien Perron, Joseph McKeown, Bhavya Kailkhura, Zhangyang Wang, Brian Gallagher Deep Reinforcement Learning with Plasticity Injection
Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, Andre Barreto Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap Singh, Daniel Freedman, Alex M. Bronstein, Ady Arie DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models
Mohamed Amine Ketata, Cedrik Laue, Ruslan Mammadov, Hannes Stark, Menghua Wu, Gabriele Corso, Céline Marquet, Regina Barzilay, Tommi S. Jaakkola Differentiable Multi-Target Causal Bayesian Experimental Design
Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer Differentially Private Federated Few-Shot Image Classification
Aliaksandra Shysheya, Marlon Tobaben, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela Diffsurv: Differentiable Sorting for Censored Time-to-Event Data.
Andre Vauvelle, Benjamin Wild, Aylin Cakiroglu, Roland Eils, Spiros Denaxas Distribution Aware Active Learning via Gaussian Mixtures
Younghyun Park, Dong-Jun Han, Jungwuk Park, Wonjeong Choi, Humaira Kousar, Jaekyun Moon Do Embodied Agents Dream of Pixelated Sheep?: Embodied Decision Making Using Language Guided World Modelling
Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox Domain-Aware Representation of Small Molecules for Explainable Property Prediction Models
Sarveswara Rao Vangala, Sowmya Ramaswamy Krishnan, Navneet Bung, Rajgopal Srinivasan, Arijit Roy DORA: Exploring Outlier Representations in Deep Neural Networks
Kirill Bykov, Mayukh Deb, Dennis Grinwald, Klaus Robert Muller, Marina MC Höhne Dynamic Pretraining of Vision-Language Models
Aj Piergiovanni, Weicheng Kuo, Wei Li, Anelia Angelova DyNeMoC: A Semi-Supervised Architecture for Classifying Time Series Brain Data
Abu Mohammad Shabbir Khan, Chetan Gohil, Pascal Notin, Joost van Amersfoort, Mark Woolrich, Yarin Gal E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics
Artur Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams Effective Data Augmentation with Diffusion Models
Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan Salakhutdinov EigenFold: Generative Protein Structure Prediction with Diffusion Models
Bowen Jing, Ezra Erives, Peter Pao-Huang, Gabriele Corso, Bonnie Berger, Tommi S. Jaakkola Emulating Radiation Transport on Cosmological Scales Using a Denoising U-Net
Mosima Masipa, Sultan Hassan, Mario Santos, Kyunghyun Cho, Gabriella Contardo Enhancing Protein Language Model with Structure-Based Encoder and Pre-Training
Zuobai Zhang, Minghao Xu, Aurelie Lozano, Vijil Chenthamarakshan, Payel Das, Jian Tang Epigenomic Language Models Powered by Cerebras
Meredith Trotter, Cuong Quoc Nguyen, Stephen Young, Rob Woodruff, Kim Branson Error Analysis of Tigrinya – English Machine Translation Systems
Nuredin Ali Abdelkadir, Negasi Haile Abadi, Asmelash Teka Hadgu Error Discovery by Clustering Influence Embeddings
Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan EurNet: Efficient Multi-Range Relational Modeling of Protein Structure
Minghao Xu, Yuanfan Guo, Yi Xu, Jian Tang, Xinlei Chen, Yuandong Tian Evaluating Prompt Tuning for Conditional Protein Sequence Generation
Andrea Nathansen, Kevin Klein, Bernhard Y Renard, Melania Nowicka, Jakub M Bartoszewicz Explaining Multiclass Classifiers with Categorical Values: A Case Study in Radiography
Luca Franceschi, Cemre Zor, Muhammad Bilal Zafar, Gianluca Detommaso, Cedric Archambeau, Tamas Madl, Michele Donini, Matthias Seeger Explaintable: Explaining Large Scale Models Applied to Tabular Data
Javier Sanguino Bautiste, Tim Engelmann, Natalia Pato Montemayor, Louis Hart, Giulia Lanzillotta, Gregor Bachmann, Thomas Hofmann Exploiting Category Names for Few-Shot Classification with Vision-Language Models
Taihong Xiao, Zirui Wang, Liangliang Cao, Jiahui Yu, Shengyang Dai, Ming-Hsuan Yang Exploring Demonstration Ensembling for In-Context Learning
Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang Expressive Sign Equivariant Networks for Spectral Geometric Learning
Derek Lim, Joshua Robinson, Stefanie Jegelka, Yaron Lipman, Haggai Maron Fairness-Aware Data Valuation for Supervised Learning
José Pombal, Pedro Saleiro, Mario A. T. Figueiredo, Pedro Bizarro Feature-Interpretable Real Concept Drift Detection
Pranoy Panda, Vineeth N. Balasubramanian, Gaurav Sinha Federated Training of Dual Encoding Models on Small Non-Iid Client Datasets
Raviteja Vemulapalli, Warren Richard Morningstar, Philip Andrew Mansfield, Hubert Eichner, Karan Singhal, Arash Afkanpour, Bradley Green Fine-Tuning Multilingual Pretrained African Language Models
Rozina Lucy Myoya, Fiskani Banda, Vukosi Marivate, Abiodun Modupe Flexible Small-Molecule Design and Optimization with Equivariant Diffusion Models
Charles Harris, Kieran Didi, Arne Schneuing, Yuanqi Du, Arian Rokkum Jamasb, Michael M. Bronstein, Bruno Correia, Pietro Lio, Tom Leon Blundell ForecastPFN: Universal Forecasting for Healthcare
Gurnoor Singh Khurana, Samuel Dooley, Siddartha Venkat Naidu, Colin White Fragment-Based Multi-View Molecular Contrastive Learning
Seojin Kim, Jaehyun Nam, Junsu Kim, Hankook Lee, Sungsoo Ahn, Jinwoo Shin Gaussian Processes at the Helm(holtz): A More Fluid Model for Ocean Currents
Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Zia, Tamara Broderick GCI: A (G)raph (C)oncept (I)nterpretation Framework
Dmitry Kazhdan, Botty Dimanov, Lucie Charlotte Magister, Pietro Barbiero, Mateja Jamnik, Pietro Lio GeValDi: Generative Validation of Discriminative Models
Vivek Palaniappan, Matthew Ashman, Katherine M. Collins, Juyeon Heo, Adrian Weller, Umang Bhatt Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong, Maria Nagawa, Oluwasanmi O Koyejo, Katherine A Heller GPT Detectors Are Biased Against Non-Native English Writers
Weixin Liang, Mert Yuksekgonul, Yining Mao, Eric Wu, James Zou Grounding Graph Network Simulators Using Physical Sensor Observations
Jonas Linkerhägner, Niklas Freymuth, Paul Maria Scheikl, Franziska Mathis-Ullrich, Gerhard Neumann HausaNLP at SemEval-2023 Task 12: Leveraging African Low Resource TweetData for Sentiment Analysis
Saheed Salahudeen Abdullahi, Falalu Ibrahim Lawan, Ahmad Mustapha Wali, Amina Abubakar Imam, Aliyu Rabiu Shuaibu, Yusuf Aliyu, Nur Bala Rabiu, Musa Bello, Shamsuddeen Umar Adamu, Saminu Mohammad Aliyu, Murja Sani Gadanya, Sanah Abdullahi Muaz, Mahmoud Said Ahmad, Abdulkadir Abdullahi, Abdulmalik Yusuf Jamoh How Deep Convolutional Neural Networks Lose Spatial Information with Training
Umberto Maria Tomasini, Leonardo Petrini, Francesco Cagnetta, Matthieu Wyart How to Backdoor Diffusion Models?
Sheng-Yen Chou, Pin-Yu Chen, Tsung-Yi Ho How to Make Semi-Private Learning Effective
Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal Hyperbolic Image-Text Representations
Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam Identifying Incorrect Annotations in Multi-Label Classification Data
Aditya Thyagarajan, Elias Snorrason, Curtis G Northcutt, Jonas Mueller Igboner 2.0: Expanding Named Entity Recognition Datasets via Projection
Chiamaka Ijeoma Chukwuneke, Paul Rayson, Ignatius Ezeani, Mo El-Haj, Doris Chinedu Asogwa, Chidimma Lilian Okpalla, Chinedu Emmanuel Mbonu Immunity Score Calibration Based on Vaccination Rebalancing
Ferdous Nasri, Simon Cyrani, Lukas Wenner, Bernhard Y Renard Improving Graph Generation by Restricting Graph Bandwidth
Nathaniel Lee Diamant, Alex M Tseng, Kangway V Chuang, Tommaso Biancalani, Gabriele Scalia Improving Small Molecule Generation Using Mutual Information Machine
Danny Reidenbach, Micha Livne, Rajesh K. Ilango, Michelle Lynn Gill, Johnny Israeli Instruction-Finetuned Foundation Models for Multimodal Web Navigation
Hiroki Furuta, Ofir Nachum, Kuang-Huei Lee, Yutaka Matsuo, Shixiang Shane Gu, Izzeddin Gur Invertible Mapping Between Fields in CAMELS
Sambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-Navarro KNIFE: Distilling Meta-Reasoning Knowledge with Free-Text Rationales
Aaron Chan, Zhiyuan Zeng, Wyatt Lake, Brihi Joshi, Hanjie Chen, Xiang Ren Knowledge Transfer from Teachers to Learners in Growing-Batch Reinforcement Learning
Patrick Emedom-Nnamdi, Abram L. Friesen, Bobak Shahriari, Nando de Freitas, Matthew Hoffman Language Models Are Visual Reasoning Coordinators
Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li, Kurt Keutzer, Trevor Darrell, Ziwei Liu Latent Sequence Generation of Steered Molecular Dynamics
John Kevin Cava, Ankita Shukla, John Wyatt Vant, Shubhra Kanti Karmaker, Pavan K. Turaga, Ross Maciejewski, Abhishek Singharoy Learn2Agree: Fitting with Multiple Annotators Without Objective Ground Truth
Chongyang Wang, Yuan Gao, Chenyou Fan, Junjie Hu, Tin Lun Lam, Nicholas Donald Lane, Nadia Berthouze Learning Physical Models That Can Respect Conservation Laws
Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney Learning Protein Family Manifolds with Smoothed Energy-Based Models
Nathan C. Frey, Dan Berenberg, Joseph Kleinhenz, Isidro Hotzel, Julien Lafrance-Vanasse, Ryan Lewis Kelly, Yan Wu, Arvind Rajpal, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi Learning the Dynamics of Physical Systems with Hamiltonian Graph Neural Networks
Suresh Bishnoi, Ravinder Bhattoo, Jayadeva Jayadeva, Sayan Ranu, N M Anoop Krishnan Learning to Backdoor Federated Learning
Henger Li, Chen Wu, Sencun Zhu, Zizhan Zheng Learning to Modulate Pre-Trained Models in RL
Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter Learning with Explanation Constraints
Rattana Pukdee, Dylan Sam, J Zico Kolter, Nina Balcan, Pradeep Kumar Ravikumar LEP-AD: Language Embeddings of Proteins and Attention to Drugs Predicts Drug Target Interactions
Anuj Daga, Sumeer Ahmad Khan, David Gomez Cabrero, Robert Hoehndorf, Narsis A. Kiani, Jesper Tegnér LIV: Language-Image Representations and Rewards for Robotic Control
Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman Long-Term Fairness with Unknown Dynamics
Tongxin Yin, Reilly Raab, Mingyan Liu, Yang Liu Looped Transformers as Programmable Computers
Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos Lorentz Group Equivariant Autoencoders
Zichun Hao, Raghav Kansal, Javier Duarte, Nadya Chernyavskaya MasakhaNEWS: News Topic Classification for African Languages
David Ifeoluwa Adelani, Marek Masiak, Israel Abebe Azime, Jesujoba Oluwadara Alabi, Atnafu Lambebo Tonja, Christine Mwase, Odunayo Ogundepo, Bonaventure F. P. Dossou, Akintunde Oladipo, Doreen Nixdorf, Chris Chinenye Emezue, sana Sabah Al-Azzawi, Blessing Kudzaishe Sibanda, Davis David, Lolwethu Ndolela, Jonathan Mukiibi, Tunde Oluwaseyi Ajayi, Tatiana Moteu Ngoli, Brian Odhiambo, Abraham Toluwase Owodunni, Nnaemeka Casmir Obiefuna, Shamsuddeen Hassan Muhammad, Saheed Salahudeen Abdullahi, Mesay Gemeda Yigezu, Tajuddeen Gwadabe, Idris Abdulmumin, Mahlet Taye Bame, Oluwabusayo Olufunke Awoyomi, Iyanuoluwa Shode, Tolulope Anu Adelani, Habiba Abdulganiy Kailani, Abdul-Hakeem Omotayo, Adetola Adeeko, Afolabi Abeeb, Anuoluwapo Aremu, Olanrewaju Samuel, Clemencia Siro, Wangari Kimotho, Onyekachi Ogbu, Chinedu Emmanuel Mbonu, Chiamaka Ijeoma Chukwuneke, Samuel Fanijo, Jessica Ojo, Oyinkansola Fiyinfoluwa Awosan, Tadesse Kebede Guge, Toadoum Sari Sakayo, Pamela Nyatsine, Freedmore Sidume, Oreen Yousuf, Mardiyyah Oduwole, Ussen Abre Kimanuka, Kanda Patrick Tshinu, Thina Diko, Siyanda Nxakama, Abdulmejid Tuni Johar, Sinodos Gebre, Muhidin A. Mohamed, Shafie Abdi Mohamed, Fuad Mire Hassan, Moges Ahmed Mehamed, Evrard Ngabire, Pontus Stenetorp Masked Trajectory Models for Prediction, Representation, and Control
Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran Matbench Discovery - Can Machine Learning Identify Stable Crystals?
Janosh Riebesell, Rhys Goodall, Anubhav Jain, Kristin Persson, Alpha Lee Max-Margin Inspired Per-Sample Re-Weighting for Robust Deep Learning
Ramnath Kumar, Kushal Alpesh Majmundar, Dheeraj Mysore Nagaraj, Arun Suggala Mini-Batch Optimization of Contrastive Loss
Kartik Sreenivasan, Keon Lee, Jeong-Gwan Lee, Anna Lee, Jaewoong Cho, Jy-yong Sohn, Dimitris Papailiopoulos, Kangwook Lee Mitigating Disease Spread by Design in Refugee and IDP Camps
Giulia Zarpellon, Joseph Aylett-Bullock, Frank Krauss, Miguel Luengo-Oroz Modality-Aware Adaptation of Contrastive Language-Image Models
Alexander Long, Thalaiyasingam Ajanthan, Anton van den Hengel Model-Based Adversarial Imitation Learning as Online Fine-Tuning
Rafael Rafailov, Victor Kolev, Kyle Beltran Hatch, John D Martin, Mariano Phielipp, Jiajun Wu, Chelsea Finn Modeling Multivariate Biosignals with Graph Neural Networks and Structured State Space
Siyi Tang, Jared Dunnmon, Liangqiong Qu, Khaled Kamal Saab, Tina Baykaner, Christopher Lee-Messer, Daniel Rubin MOTO: Offline to Online Fine-Tuning for Model-Based Reinforcement Learning
Rafael Rafailov, Kyle Beltran Hatch, Victor Kolev, John D Martin, Mariano Phielipp, Chelsea Finn MphayaNER: Named Entity Recognition for Tshivenda
Rendani Mbuvha, David Ifeoluwa Adelani, Tendani Mutavhatsindi, Tshimangadzo Rakhuhu, Aluwani Mauda, Tshifhiwa Joshua Maumela, Andisani Masindi, Seani Rananga, Vukosi Marivate, Tshilidzi Marwala Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum Multi-Scale Message Passing Neural PDE Solvers
Léonard Equer, T. Konstantin Rusch, Siddhartha Mishra Multi-Scale Sinusoidal Embeddings Enable Learning on High Resolution Mass Spectrometry Data
Gennady Voronov, Rose Lightheart, Joe Davison, Christoph A. Krettler, David Healey, Thomas Butler Multimodal Subtask Graph Generation from Instructional Videos
Yunseok Jang, Sungryull Sohn, Lajanugen Logeswaran, Tiange Luo, Moontae Lee, Honglak Lee Natural Language Understanding for African Languages
Pierrette MAHORO Mastel, Pierrette MAHORO Mastel, Ester Namara, Aime Munezero, Richard Kagame, Zihan Wang, Allan Anzagira, Akshat Gupta, Jema David Ndibwile Neural Integral Functionals
Zheyuan Hu, Tianbo Li, Zekun Shi, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, Shuicheng Yan, Min Lin Noise Injection as a Probe of Deep Learning Dynamics
Noam Itzhak Levi, Itay Mimouni Bloch, Marat Freytsis, Tomer Volansky Non-Equispaced Fourier Neural Solvers for PDEs
Haitao Lin, Lirong Wu, Yongjie Xu, Yufei Huang, Siyuan Li, Guojiang Zhao, Stan Z. Li Offline Visual Representation Learning for Embodied Navigation
Karmesh Yadav, Ram Ramrakhya, Arjun Majumdar, Vincent-Pierre Berges, Sachit Kuhar, Dhruv Batra, Alexei Baevski, Oleksandr Maksymets On Pitfalls of Test-Time Adaptation
Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin On the Efficacy of Differentially Private Few-Shot Image Classification
Marlon Tobaben, Aliaksandra Shysheya, John F Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela On the Existence of a Trojaned Twin Model
Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen On the Robustness of ChatGPT: An Adversarial and Out-of-Distribution Perspective
Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie On the Role of Attention in Prompt-Tuning
Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis On the Role of Forgetting in Fine-Tuning Reinforcement Learning Models
Maciej Wolczyk, Bartłomiej Cupiał, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś Online Threats Detection in Hausa Language
Abubakar Yakubu Zandam, Fatima Adam Muhammad, Isa Inuwa-Dutse Operator Learning on Free-Form Geometries
Louis Serrano, Jean-Noël Vittaut, Patrick Gallinari Out-of-Context Meta-Learning in Large Language Models
Dmitrii Krasheninnikov, Egor Krasheninnikov, David Krueger Pdebench: An Extensive Benchmark for Sci- Entific Machine Learning
Makoto Takamoto, Timothy Praditia, Raphael Leiteritz, Dan MacKinlay, Francesco Alesiani, Dirk Pflüger, Mathias Niepert Performative Federated Learning
Kun Jin, Tongxin Yin, Zhongzhu Chen, Zeyu Sun, Xueru Zhang, Yang Liu, Mingyan Liu PF-ABGen: A Reliable and Efficient Antibody Generator via Poisson Flow
Chutian Huang, Zijing Liu, Shengyuan Bai, Linwei Zhang, Chencheng Xu, Zhe Wang, Yang Xiang, Yuanpeng Xiong Phylo2Vec: A Vector Representation of Binary Trees
Matthew J Penn, Neil Scheidwasser, Mark Khurana, Christl Ann Donnelly, Samir Bhatt Pitfalls in Evaluating GNNs Under Label Poisoning Attacks
Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski Predicting Density of States via Multi-Modal Transformer
Namkyeong Lee, Heewoong Noh, Sungwon Kim, Dongmin Hyun, Gyoung S. Na, Chanyoung Park Predicting Out-of-Distribution Error with Confidence Optimal Transport
Yuzhe Lu, Zhenlin Wang, Runtian Zhai, Soheil Kolouri, Joseph Campbell, Katia P. Sycara Prioritized Offline Goal-Swapping Experience Replay
Wenyan Yang, Joni Pajarinen, Dingding Cai, Joni-kristian Kamarainen Privacy-Preserving Machine Learning for Healthcare: Open Challenges and Future Perspectives
Alejandro Guerra-Manzanares, Leopoldo Julian Lechuga Lopez, Michail Maniatakos, Farah Shamout Privately Customizing Prefinetuning to Better Match User Data in Federated Learning
Charlie Hou, Hongyuan Zhan, Akshat Shrivastava, Sid Wang, Aleksandr Livshits, Giulia Fanti, Daniel Lazar Probing Graph Representations
Mohammad Sadegh Akhondzadeh, Vijay Lingam, Aleksandar Bojchevski Projections of Model Spaces for Latent Graph Inference
Haitz Sáez de Ocáriz Borde, Alvaro Arroyo, Ingmar Posner Quantum Feature Maps for Graph Machine Learning on a Neutral Atom Quantum Processor
Boris Albrecht, Constantin Dalyac, Lucas Leclerc, Luis Ortiz-Gutiérrez, Slimane Thabet, Mauro D'Arcangelo, Vincent Emanuel Elfving, Lucas Lassablière, Henrique Silvério, Bruno Ximenez, Louis-Paul Henry, Adrien Signoles, Loic Henriet Reconstructing Training Data from Multiclass Neural Networks
Gon Buzaglo, Niv Haim, Gilad Yehudai, Gal Vardi, Michal Irani Reduce, Reuse, Recycle: Selective Reincarnation in Multi-Agent Reinforcement Learning
Juan Claude Formanek, Callum Rhys Tilbury, Jonathan Phillip Shock, Kale-ab Tessera, Arnu Pretorius Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization
Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo Revisiting Behavior Regularized Actor-Critic
Denis Tarasov, Vladislav Kurenkov, Alexander Nikulin, Sergey Kolesnikov Robustness of Edited Neural Networks
Davis Brown, Charles Godfrey, Cody Nizinski, Jonathan Tu, Henry Kvinge SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning
Qin Zhang, Linrui Zhang, Li Shen, Haoran Xu, Bowen Wang, Bo Yuan, Yongzhe Chang, Xueqian Wang Salient Conditional Diffusion for Backdoors
Brandon B May, Norman Joseph Tatro, Piyush Kumar, Nathan Shnidman Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Brian R. Bartoldson, Yeping Hu, Amar Saini, Jose Cadena, Yucheng Fu, Jie Bao, Zhijie Xu, Brenda Ng, Phan Nguyen Self-Supervised Learning with Lie Symmetries for Partial Differential Equations
Grégoire Mialon, Quentin Garrido, Hannah Lawrence, Danyal Rehman, Yann LeCun, Bobak Kiani SemDeDup: Data-Efficient Learning at Web-Scale Through Semantic Deduplication
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