Paperjam

#5101 · Yilun Jin, Zheng Li, Chenwei Zhang, Tianyu Cao, Yifan Gao, Pratik Jayarao, Mao Li, Xin Liu, Ritesh Sarkhel, Xianfeng Tang, Haodong Wang, Zhengyang Wang, Wenju Xu, Jingfeng Yang, Qingyu Yin, Xian Li, Priyanka Nigam, Yi Xu, Kai Chen, Qiang Yang, Meng Jiang, Bing Yin

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition

#5102 · George Tsoukalas, Jasper Lee, John Jennings, Jimmy Xin, Michelle Ding, Michael Jennings, Amitayush Thakur, Swarat Chaudhuri

BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity

#5103 · Zahra Gharaee, Scott C. Lowe, ZeMing Gong, Pablo Millan Arias, Nicholas Pellegrino, Austin T. Wang, Joakim Bruslund Haurum, Iuliia Eyriay, Lila Kari, Dirk Steinke, Graham Taylor, Paul Fieguth, Angel Chang

ReMI: A Dataset for Reasoning with Multiple Images

#5104 · Mehran Kazemi, Nishanth Dikkala, Ankit Anand, Petar Devic, Ishita Dasgupta, Fangyu Liu, Bahare Fatemi, Pranjal Awasthi, Sreenivas Gollapudi, Dee Guo, Ahmed Qureshi

IaC-Eval: A code generation benchmark for Infrastructure-as-Code programs

#5105 · Patrick Tser Jern Kon, Jiachen Liu, Yiming Qiu, Weijun Fan, Ting He, Lei Lin, Haoran Zhang, Owen Park, George Elengikal, Yuxin Kang, Ang Chen, Mosharaf Chowdhury, Myungjin Lee, Xinyu Wang

Building Timeseries Dataset: Empowering Large-Scale Building Analytics

#5106 · Arian Prabowo, Xiachong LIN, Imran Razzak, Hao Xue, Emily Yap, Matthew Amos, Flora Salim

OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking

#5107 · Haiji Liang, Ruize Han

Beyond Aesthetics: Cultural Competence in Text-to-Image Models

#5108 · Nithish Kannen Senthilkumar, Arif Ahmad, Marco Andreetto, Vinodkumar Prabhakaran, Utsav Prabhu, Adji Bousso Dieng, Pushpak Bhattacharyya, Shachi Dave

StackEval: Benchmarking LLMs in Coding Assistance

#5109 · Zulkuf Genc, Nidhish Shah, Dogu Araci

IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

#5110 · Ashwin Sankar, Srija Anand, Praveen Varadhan, Sherry Thomas, Mehak Singal, Shridhar Kumar, Deovrat Mehendale, Aditi Krishana, Giri Raju, Mitesh Khapra

PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models

#5200 · Lemei Zhang, Peng Liu, Marcus Henriksboe, Even Lauvrak, Jon Atle Gulla, Heri Ramampiaro

emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography

#5201 · Viswanath Sivakumar, Jeffrey Seely, Alan Du, Sean Bittner, Adam Berenzweig, Anuoluwapo Bolarinwa, Alex Gramfort, Michael Mandel

Is Function Similarity Over-Engineered? Building a Benchmark

#5202 · Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski, Edward Raff, James Holt

SETBENCH: Assessing the Analytical and Semantic Robustness of Language Models

#5203 · Nicholas Dronen, Bardiya Akhbari, Manish Digambar Gawali

Multi-modal Situated Reasoning in 3D Scenes

#5204 · Xiongkun Linghu, Xuesong Niu, Jiangyong Huang, Xiaojian (Shawn) Ma, Baoxiong Jia, Siyuan Huang

CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes

#5205 · Jason Yang, Ariane Mora, Shengchao Liu, Bruce Wittmann, Animashree Anandkumar, Frances Arnold, Yisong Yue

DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments

#5206 · Zeyu Wang, Xiyuxing Zhang, Ruotong Yu, Yuntao Wang, Kenneth Christofferson, Jingru Zhang, Alex Mariakakis, Yuanchun Shi

The iNaturalist Sounds Dataset

#5207 · Mustafa Chasmai, Alexander Shepard, Subhransu Maji, Grant Van Horn

BertaQA: How Much Do Language Models Know About Local Culture?

#5208 · Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lacalle, Mikel Artetxe

OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction

#5209 · Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, yuran Yang, Xiaojuan Jin, YIXIN ZHANG, GAOFENG MENG, ZHAO-XIANG ZHANG

WelQrate: Defining the Gold Standard in Small Molecule Drug Discovery Benchmarking

#5210 · Yunchao Liu, Ha Dong, Xin Wang, Rocco Moretti, Yu Wang, Zhaoqian Su, Jiawei Gu, Bobby Bodenheimer, Charles Weaver, Jens Meiler, Tyler Derr

DF40: Toward Next-Generation Deepfake Detection

#5211 · Zhiyuan Yan, Taiping Yao, Shen Chen, Yandan Zhao, Xinghe Fu, Junwei Zhu, Donghao Luo, Li Yuan, Chengjie Wang, Shouhong Ding, Yunsheng Wu

BLURD: Benchmarking and Learning using a Unified Rendering and Diffusion Model

#5300 · Boris Repasky, Ehsan Abbasnejad, Anthony Dick

EpiCare: A Reinforcement Learning Benchmark for Dynamic Treatment Regimes

#5301 · Mason Hargrave, Alex Spaeth, Logan Grosenick

FVEL: Interactive Formal Verification Environment with Large Language Models via Theorem Proving

#5302 · Xiaohan Lin, Qingxing Cao, Yinya Huang, Haiming Wang, Jianqiao Lu, Zhengying Liu, Linqi Song, Xiaodan Liang

CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

#5303 · Zirui Wang, Mengzhou Xia, Luxi He, Howard Chen, Yitao Liu, Richard Zhu, Kaiqu Liang, Xindi Wu, Haotian Liu, Sadhika Malladi, Chevalier, Sanjeev Arora, Danqi Chen

DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents

#5304 · Peter Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark

emg2pose: A Large and Diverse Benchmark for Surface Electromyographic Hand Pose Estimation

#5305 · Sasha Salter, Richard Warren, Collin Schlager, Adrian Spurr, Shangchen Han, Rohin Bhasin, Yujun Cai, Peter Walkington, Anuoluwapo Bolarinwa, Robert Wang, Nathan Danielson, Josh Merel, Eftychios Pnevmatikakis, Jesse Marshall

GTA: A Benchmark for General Tool Agents

#5306 · Jize Wang, Ma Zerun, Yining Li, Songyang Zhang, Cailian Chen, Kai Chen, Xinyi Le

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

#5307 · Hao Zhongkai, Jiachen Yao, Chang Su, Hang Su, Ziao Wang, Fanzhi Lu, Zeyu Xia, Yichi Zhang, Songming Liu, Lu Lu, Jun Zhu

CaptainCook4D: A Dataset for Understanding Errors in Procedural Activities

#5308 · Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Bhavya Gouripeddi, Qifan Zhang, Jikai Wang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate

$\texttt{dopanim}$: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans

#5309 · Marek Herde, Denis Huseljic, Lukas Rauch, Bernhard Sick

Copycats: the many lives of a publicly available medical imaging dataset

#5310 · Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Dovile Juodelyte, Théo Sourget, Caroline Vang-Larsen, Anna Rogers, Hubert Zając, Veronika Cheplygina

BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval

#5311 · Imanol Miranda, Ander Salaberria, Eneko Agirre, Gorka Azkune

Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities

#5400 · Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection

#5401 · Austin Coursey, Junyi Ji, Marcos Quinones Grueiro, William Barbour, Yuhang Zhang, Tyler Derr, Gautam Biswas, Daniel Work

STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics

#5402 · Jiawen Chen, Muqing Zhou, Wenrong Wu, Jinwei Zhang, Yun Li, Didong Li

RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation

#5403 · Anton Antonov, Andrei Moskalenko, Denis Shepelev, Vlad Shakhuro, Alexander Krapukhin, Konstantin Soshin, Anton Konushin

CoMix: A Comprehensive Benchmark for Multi-Task Comic Understanding

#5404 · Emanuele Vivoli, Marco Bertini, Dimosthenis Karatzas

Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline

#5405 · Dapeng Hu, Romy Luo, Jian Liang, Chuan Sheng Foo

Vocal Call Locator Benchmark (VCL'24) for localizing rodent vocalizations from multi-channel audio

#5406 · Ralph Peterson, Aramis Tanelus, Christopher Ick, Bartul Mimica, Niegil Francis Muttath Joseph, Violet Ivan, Aman Choudhri, Annegret Falkner, Mala Murthy, David Schneider, Dan Sanes, Alex Williams

Beyond Prompts: Dynamic Conversational Benchmarking of Large Language Models

#5407 · David Castillo-Bolado, Joseph Davidson, Finlay Gray, Marek Rosa

ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models

#5408 · Jio Oh, Soyeon Kim, Junseok Seo, Jindong Wang, Ruochen Xu, Xing Xie, Steven Whang

Fit for our purpose, not yours: Benchmark for a low-resource, Indigenous language

#5409 · Suzanne Duncan, Gianna Leoni, Lee Steven, Keoni K Mahelona, Peter Lucas K Jones

Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)

#5410 · Jakob Hauser, Dániel Kondor, Jenny Reddish, Majid Benam, Enrico Cioni, Federica Villa, James Bennett, Daniel Hoyer, Pieter Francois, Peter Turchin, R. Maria del Rio-Chanona

Testably Learning Polynomial Threshold Functions

#5500 · Lucas Slot, Stefan Tiegel, Manuel Wiedmer

Wide Two-Layer Networks can Learn from Adversarial Perturbations

#5501 · Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists

#5502 · Joachim Baumann, Celestine Mendler-Dünner

Improving Subgroup Robustness via Data Selection

#5503 · Saachi Jain, Kimia Hamidieh, Kristian Georgiev, Andrew Ilyas, Marzyeh Ghassemi, Aleksander Madry

CultureLLM: Incorporating Cultural Differences into Large Language Models

#5504 · Cheng Li, Mengzhuo Chen, Jindong Wang, Sunayana Sitaram, Xing Xie

Fair Bilevel Neural Network (FairBiNN): On Balancing fairness and accuracy via Stackelberg Equilibrium

#5505 · Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, Amirarsalan Rajabi, Aida Tayebi, Ivan Garibay, OZLEM GARIBAY

The Fairness-Quality Tradeoff in Clustering

#5506 · Rashida Hakim, Ana-Andreea Stoica, Christos Papadimitriou, Mihalis Yannakakis

Mind the Graph When Balancing Data for Fairness or Robustness

#5507 · Jessica Schrouff, Alexis Bellot, Amal Rannen-Triki, Alan Malek, Isabela Albuquerque, Arthur Gretton, Alexander D'Amour, Silvia Chiappa

Proportional Fairness in Clustering: A Social Choice Perspective

#5508 · Leon Kellerhals, Jannik Peters

FairQueue: Rethinking Prompt Learning for Fair Text-to-Image Generation

#5509 · Christopher Teo, Milad Abdollahzadeh, Xinda Ma, Ngai-Man (Man) Cheung

SeafloorGenAI: A Large-scale Vision-Language Dataset for Seafloor Geological Survey

#5510 · Kien Nguyen, Fengchun Qiao, Arthur Trembanis, Xi Peng

On the Efficiency of ERM in Feature Learning

#5600 · Ayoub El Hanchi, Chris Maddison, Murat Erdogdu

Fair Online Bilateral Trade

#5602 · François Bachoc, Nicolò Cesa-Bianchi, Tom Cesari, Roberto Colomboni

Building a stable classifier with the inflated argmax

#5603 · Jake Soloff, Rina Barber, Rebecca Willett

Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss

#5604 · Yi-Shan Wu, Yijie Zhang, Badr-Eddine Cherief-Abdellatif, Yevgeny Seldin

Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise

#5605 · Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas

Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method

#5606 · Bikang Pan, Wei Huang, Ye Shi

On the Limitations of Fractal Dimension as a Measure of Generalization

#5607 · Charlie Tan, Inés García-Redondo, Qiquan Wang, Michael Bronstein, Anthea Monod

Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness

#5608 · Xiaoge Deng, Tao Sun, Shengwei Li, Dongsheng Li, Xicheng Lu

Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron

#5609 · Christian Schmid, James M Murray

Online Consistency of the Nearest Neighbor Rule

#5610 · Geelon So, Sanjoy Dasgupta

Online Learning with Sublinear Best-Action Queries

#5700 · Matteo Russo, Andrea Celli, Riccardo Colini Baldeschi, Federico Fusco, Daniel Haimovich, Dima Karamshuk, Stefano Leonardi, Niek Tax

Exploration, Exploitation, and Engagement in Multi-Armed Bandits with Abandonment

#5701 · Zixian Yang, Xin Liu, Lei Ying

Multi-Label Learning with Stronger Consistency Guarantees

#5702 · Anqi Mao, Mehryar Mohri, Yutao Zhong

Implicit Optimization Bias of Next-token Prediction in Linear Models

#5703 · Christos Thrampoulidis

The Implicit Bias of Adam on Separable Data

#5704 · Chenyang Zhang, Difan Zou, Yuan Cao

Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance

#5705 · Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang

Mean-Field Analysis for Learning Subspace-Sparse Polynomials with Gaussian Input

#5706 · Ziang Chen, Rong Ge

Learning from higher-order correlations, efficiently: hypothesis tests, random features, and neural networks

#5707 · Eszter Szekely, Lorenzo Bardone, Federica Gerace, Sebastian Goldt

How many classifiers do we need?

#5708 · Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael Mahoney

Improved Sample Complexity for Multiclass PAC Learning

#5709 · Steve Hanneke, Shay Moran, Qian Zhang

Understanding the Gains from Repeated Self-Distillation

#5710 · Divyansh Pareek, Simon Du, Sewoong Oh

Generalized Linear Bandits with Limited Adaptivity

#5800 · Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha

Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition

#5801 · Rui Ai, David Simchi-Levi, Feng Zhu

Nearly Minimax Optimal Submodular Maximization with Bandit Feedback

#5802 · Artin Tajdini, Lalit Jain, Kevin Jamieson

Symmetric Linear Bandits with Hidden Symmetry

#5803 · Phuong Nam Tran, The Anh Ta, Debmalya Mandal, Long Tran-Thanh

Truthfulness of Calibration Measures

#5804 · Nika Haghtalab, Mingda Qiao, Kunhe Yang, Eric Zhao

Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously

#5805 · Stephen Pasteris, Chris Hicks, Vasilios Mavroudis, Mark Herbster

Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood

#5806 · Ziyi Liu, Idan Attias, Dan Roy

Bandits with Preference Feedback: A Stackelberg Game Perspective

#5807 · Barna Pásztor, Parnian Kassraie, Andreas Krause

Optimization Algorithm Design via Electric Circuits

#5808 · Stephen Boyd, Tetiana Parshakova, Ernest Ryu, Jaewook J. Suh

Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

#5809 · Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu

Sparse maximal update parameterization: A holistic approach to sparse training dynamics

#5810 · Nolan Dey, Shane Bergsma, Joel Hestness

Don't Compress Gradients in Random Reshuffling: Compress Gradient Differences

#5900 · Abdurakhmon Sadiev, Grigory Malinovsky, Eduard Gorbunov, Igor Sokolov, Ahmed Khaled, Konstantin Burlachenko, Peter Richtarik

A Bayesian Approach to Data Point Selection

#5901 · XINNUO XU, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales

SymILO: A Symmetry-Aware Learning Framework for Integer Linear Optimization

#5902 · Qian Chen, Tianjian Zhang, Linxin Yang, Qingyu Han, Akang Wang, Ruoyu Sun, Xiaodong Luo, Tsung-Hui Chang

CRONOS: Enhancing Deep Learning with Scalable GPU Accelerated Convex Neural Networks

#5903 · Miria Feng, Zachary Frangella, Mert Pilanci

Scalable Kernel Inverse Optimization

#5904 · Youyuan Long, Tolga Ok, Pedro Zattoni Scroccaro, Peyman Mohajerin Esfahani

The Power of Extrapolation in Federated Learning

#5905 · Hanmin Li, Kirill Acharya, Peter Richtarik

Learning with Fitzpatrick Losses

#5906 · Seta Rakotomandimby, Jean-Philippe Chancelier, Michel De Lara, Mathieu Blondel

A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints

#5907 · Liuyuan Jiang, Quan Xiao, Victor Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen

SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization

#5908 · Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan

An Accelerated Gradient Method for Convex Smooth Simple Bilevel Optimization

#5909 · Jincheng Cao, Ruichen Jiang, Erfan Yazdandoost Hamedani, Aryan Mokhtari

Tighter Convergence Bounds for Shuffled SGD via Primal-Dual Perspective

#5910 · Xufeng Cai, Cheuk Yin Lin, Jelena Diakonikolas

Sample-Efficient Geometry Reconstruction from Euclidean Distances using Non-Convex Optimization

#5911 · Ipsita Ghosh, Abiy Tasissa, Christian Kümmerle

Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions

#6001 · Quanqi Hu, Qi Qi, Zhaosong Lu, Tianbao Yang

High-probability complexity bounds for stochastic non-convex minimax optimization

#6002 · Yassine Laguel, Yasa Syed, Necdet Serhat Aybat, Mert Gurbuzbalaban

Sample-efficient Bayesian Optimisation Using Known Invariances

#6003 · Theodore Brown, Alexandru Cioba, Ilija Bogunovic

Query-Efficient Correlation Clustering with Noisy Oracle

#6004 · Yuko Kuroki, Atsushi Miyauchi, Francesco Bonchi, Wei Chen

Transition Constrained Bayesian Optimization via Markov Decision Processes

#6005 · Jose Pablo Folch, Calvin Tsay, Robert Lee, Behrang Shafei, Weronika Ormaniec, Andreas Krause, Mark van der Wilk, Ruth Misener, Mojmir Mutny

Active Set Ordering

#6006 · Quoc Phong Nguyen, Sunil Gupta, Svetha Venkatesh, Bryan Kian Hsiang Low, Patrick Jaillet

Bayesian Optimization of Functions over Node Subsets in Graphs

#6007 · Huidong Liang, Xingchen Wan, Xiaowen Dong

Private Attribute Inference from Images with Vision-Language Models

#6008 · Batuhan Tömekçe, Mark Vero, Robin Staab, Martin Vechev

PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining

#6009 · Mishaal Kazmi, Hadrien Lautraite, Alireza Akbari, Qiaoyue Tang, Mauricio Soroco, Tao Wang, Sébastien Gambs, Mathias Lécuyer

Universal Exact Compression of Differentially Private Mechanisms

#6010 · Yanxiao Liu, Wei-Ning Chen, Ayfer Ozgur, Cheuk Ting Li

On the Benefits of Public Representations for Private Transfer Learning under Distribution Shift

#6011 · Pratiksha Thaker, Amrith Setlur, Steven Wu, Virginia Smith

Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning

#6012 · Runhua Xu, Shiqi Gao, Chao Li, James Joshi, Jianxin Li

Exclusively Penalized Q-learning for Offline Reinforcement Learning

#6100 · Junghyuk Yeom, Yonghyeon Jo, Jeongmo Kim, Sanghyeon Lee, Seungyul Han

DMC-VB: A Benchmark for Representation Learning for Control with Visual Distractors

#6101 · Joseph Ortiz, Antoine Dedieu, Wolfgang Lehrach, J Swaroop Guntupalli, Carter Wendelken, Ahmad Humayun, Sivaramakrishnan Swaminathan, Guangyao Zhou, Miguel Lazaro-Gredilla, Kevin Murphy

DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction

#6102 · Xinwei Zhang, Zhiqi Bu, Mingyi Hong, Meisam Razaviyayn

Differentially Private Equivalence Testing for Continuous Distributions and Applications

#6103 · Or Sheffet, Daniel Omer

Pandora's Box: Towards Building Universal Attackers against Real-World Large Vision-Language Models

#6104 · Daizong Liu, Mingyu Yang, Xiaoye Qu, Pan Zhou, Xiang Fang, Keke Tang, Yao Wan, Lichao Sun

Private Online Learning via Lazy Algorithms

#6105 · Hilal Asi, Tomer Koren, Daogao Liu, Kunal Talwar

Private Geometric Median

#6106 · Mahdi Haghifam, Thomas Steinke, Jonathan Ullman

Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity

#6107 · Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan

PrivCirNet: Efficient Private Inference via Block Circulant Transformation

#6108 · Tianshi Xu, Lemeng Wu, Runsheng Wang, Meng Li

Membership Inference Attacks against Fine-tuned Large Language Models via Self-prompt Calibration

#6109 · Wenjie Fu, Huandong Wang, Chen Gao, Guanghua Liu, Yong Li, Tao Jiang

Trap-MID: Trapdoor-based Defense against Model Inversion Attacks

#6110 · ZhenTing Liu, ShangTse Chen

Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning

#6200 · Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization

#6201 · Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control

#6202 · Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong

OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators

#6203 · Allen Nie, Yash Chandak, Christina Yuan, Anirudhan Badrinath, Yannis Flet-Berliac, Emma Brunskill

Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning

#6204 · Qi Wang, Junming Yang, Yunbo Wang, Xin Jin, Wenjun Zeng, Xiaokang Yang

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

#6205 · Yang Dai, Oubo Ma, Longfei Zhang, Xingxing Liang, Shengchao Hu, Mengzhu Wang, Shouling Ji, Jincai Huang, Li Shen

Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning

#6206 · Otmane Sakhi, Imad Aouali, Pierre Alquier, Nicolas Chopin

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

#6207 · Alexander Nikulin, Vladislav Kurenkov, Ilya Zisman, Artem Agarkov, Viacheslav Sinii, Sergey Kolesnikov

The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space

#6208 · Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao

Do's and Don'ts: Learning Desirable Skills with Instruction Videos

#6209 · HYUNSEUNG KIM, BYUNG KUN LEE, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

Effective Exploration Based on the Structural Information Principles

#6210 · Xianghua Zeng, Hao Peng, Angsheng Li

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

#6300 · Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, bo xu, Martin Müller

Policy-shaped prediction: avoiding distractions in model-based reinforcement learning

#6301 · Miles Hutson, Isaac Kauvar, Nick Haber

Bigger, Regularized, Optimistic: scaling for compute and sample efficient continuous control

#6302 · Michal Nauman, Mateusz Ostaszewski, Krzysztof Jankowski, Piotr Miłoś, Marek Cygan

Robust Reinforcement Learning from Corrupted Human Feedback

#6303 · Alexander Bukharin, Ilgee Hong, Haoming Jiang, Zichong Li, Qingru Zhang, Zixuan Zhang, Tuo Zhao

Parseval Regularization for Continual Reinforcement Learning

#6304 · Wesley Chung, Lynn Cherif, Doina Precup, David Meger

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers

#6305 · Jake Grigsby, Justin Sasek, Samyak Parajuli, Ikechukwu D. Adebi, Amy Zhang, Yuke Zhu

Diffusion for World Modeling: Visual Details Matter in Atari

#6306 · Eloi Alonso, Adam Jelley, Vincent Micheli, Anssi Kanervisto, Amos Storkey, Tim Pearce, François Fleuret

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning

#6307 · Weikang Wan, Ziyu Wang, Yufei Wang, Zackory Erickson, David Held

Adaptive Preference Scaling for Reinforcement Learning with Human Feedback

#6308 · Ilgee Hong, Zichong Li, Alexander Bukharin, Yixiao Li, Haoming Jiang, Tianbao Yang, Tuo Zhao

Hierarchical Programmatic Option Framework

#6309 · Yu-An Lin, Chen-Tao Lee, Chih-Han Yang, Guan-Ting Liu, Shao-Hua Sun

Deep Policy Gradient Methods Without Batch Updates, Target Networks, or Replay Buffers

#6310 · Gautham Vasan, Mohamed Elsayed, Seyed Alireza Azimi, Jiamin He, Fahim Shahriar, Colin Bellinger, Martha White, Rupam Mahmood

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory

#6400 · Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu

Regularized Q-Learning

#6401 · Han-Dong Lim, Donghwan Lee

The Power of Resets in Online Reinforcement Learning

#6402 · Zak Mhammedi, Dylan J Foster, Alexander Rakhlin

Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation

#6403 · Long-Fei Li, Yu-Jie Zhang, Peng Zhao, Zhi-Hua Zhou

N-agent Ad Hoc Teamwork

#6404 · Caroline Wang, Muhammad Arrasy Rahman, Ishan Durugkar, Elad Liebman, Peter Stone

Episodic Future Thinking Mechanism for Multi-agent Reinforcement Learning

#6405 · Dongsu Lee, Minhae Kwon

Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning

#6406 · The Viet Bui, Tien Mai, Thanh Nguyen

Flipping-based Policy for Chance-Constrained Markov Decision Processes

#6407 · Xun Shen, Shuo Jiang, Akifumi Wachi, Kazumune Hashimoto, Sebastien Gros

Adversarially Trained Weighted Actor-Critic for Safe Offline Reinforcement Learning

#6408 · Honghao Wei, Xiyue Peng, Arnob Ghosh, Xin Liu

Robust Reinforcement Learning with General Utility

#6409 · Ziyi Chen, Yan Wen, Zhengmian Hu, Heng Huang

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning

#6410 · Harley Wiltzer, Marc Bellemare, David Meger, Patrick Shafto, Yash Jhaveri

Task-Agnostic Machine-Learning-Assisted Inference

#6500 · Jiacheng Miao, Qiongshi Lu

Contrastive dimension reduction: when and how?

#6501 · Sam Hawke, YueEn Ma, Didong Li

Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator

#6502 · Siyuan Xu, Minghui Zhu

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

#6503 · Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sushil Sikchi, Joey Hejna, Brad Knox, Chelsea Finn, Scott Niekum

Fixed Confidence Best Arm Identification in the Bayesian Setting

#6504 · Kyoungseok Jang, Junpei Komiyama, Kazutoshi Yamazaki

RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions

#6505 · Easton Huch, Jieru Shi, Madeline R Abbott, Jessica Golbus, Alexander Moreno, Walter Dempsey

Strategic Linear Contextual Bandits

#6506 · Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu

How does Inverse RL Scale to Large State Spaces? A Provably Efficient Approach

#6507 · Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

#6508 · Hao Tang, Darren Key, Kevin Ellis

The surprising efficiency of temporal difference learning for rare event prediction

#6509 · Xiaoou Cheng, Jonathan Weare

Linear Causal Bandits: Unknown Graph and Soft Interventions

#6510 · Zirui Yan, Ali Tajer

Robust group and simultaneous inferences for high-dimensional single index model

#6600 · Weichao Yang, Hongwei Shi, Xu Guo, Changliang Zou

Toward Conditional Distribution Calibration in Survival Prediction

#6601 · Shi-ang Qi, Yakun Yu, Russell Greiner

Conditional Outcome Equivalence: A Quantile Alternative to CATE

#6602 · Josh Givens, Henry Reeve, Song Liu, Katarzyna Reluga

Robust Offline Active Learning on Graphs

#6603 · Yuanchen Wu, Yubai Yuan

Active preference learning for ordering items in- and out-of-sample

#6604 · Herman Bergström, Emil Carlsson, Devdatt Dubhashi, Fredrik Johansson

Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning

#6605 · Adhyyan Narang, Andrew Wagenmaker, Lillian Ratliff, Kevin Jamieson

Is O(log N) practical? Near-Equivalence Between Delay Robustness and Bounded Regret in Bandits and RL

#6606 · Enoch H. Kang, P. R. Kumar

Theoretical Analysis of Weak-to-Strong Generalization

#6607 · Hunter Lang, David Sontag, Aravindan Vijayaraghavan

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

#6608 · Evelyn Ma, Chao Pan, S. Rasoul Etesami, Han Zhao, Olgica Milenkovic

Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification

#6609 · Zhaorui Tan, Xi Yang, Qiufeng Wang, Anh Nguyen, Kaizhu Huang

PACE: marrying the generalization of PArameter-efficient fine-tuning with Consistency rEgularization

#6610 · Yao Ni, Shan Zhang, Piotr Koniusz

Label Noise: Ignorance Is Bliss

#6611 · Yilun Zhu, Jianxin Zhang, Aditya Gangrade, Clay Scott

Optimal Aggregation of Prediction Intervals under Unsupervised Domain Shift

#6612 · Jiawei Ge, Debarghya Mukherjee, Jianqing Fan

Nonparametric Evaluation of Noisy ICA Solutions

#6700 · Syamantak Kumar, Derek Bean, peter j bickel, Purnamrita Sarkar

Excluding the Irrelevant: Focusing Reinforcement Learning through Continuous Action Masking

#6701 · Roland Stolz, Hanna Krasowski, Jakob Thumm, Michael Eichelbeck, Philipp Gassert, Matthias Althoff

Can an AI Agent Safely Run a Government? Existence of Probably Approximately Aligned Policies

#6702 · Frédéric Berdoz, Roger Wattenhofer

Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithms

#6703 · Miao Lu, Han Zhong, Tong Zhang, Jose Blanchet

Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation

#6704 · Stefan Stojanovic, Yassir Jedra, Alexandre Proutiere

How Does Variance Shape the Regret in Contextual Bandits?

#6705 · Zeyu Jia, Jian Qian, Alexander Rakhlin, Chen-Yu Wei

Mutual Information Estimation via $f$-Divergence and Data Derangements

#6706 · Nunzio Alexandro Letizia, Nicola Novello, Andrea M Tonello

User-Creator Feature Polarization in Recommender Systems with Dual Influence

#6707 · Tao Lin, Kun Jin, Andrew Estornell, Xiaoying Zhang, Yiling Chen, Yang Liu

Incentivizing Quality Text Generation via Statistical Contracts

#6708 · Eden Saig, Ohad Einav, Inbal Talgam-Cohen

Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms

#6709 · Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng

Bias Detection via Signaling

#6710 · Yiling Chen, Tao Lin, Ariel Procaccia, Aaditya Ramdas, Itai Shapira

Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits

#6800 · Shuai Liu, Alex Ayoub, Flore Sentenac, Xiaoqi Tan, Csaba Szepesvari

Adversarially Robust Dense-Sparse Tradeoffs via Heavy-Hitters

#6801 · David Woodruff, Samson Zhou

Minimum Entropy Coupling with Bottleneck

#6802 · Reza Ebrahimi, Jun Chen, Ashish Khisti

In-and-Out: Algorithmic Diffusion for Sampling Convex Bodies

#6803 · Yunbum Kook, Santosh Vempala, Matthew Zhang

On the Ability of Developers' Training Data Preservation of Learnware

#6805 · Hao-Yi Lei, Zhi-Hao Tan, Zhi-Hua Zhou

Optimal Algorithms for Learning Partitions with Faulty Oracles

#6806 · Adela DePavia, Olga Medrano Martin del Campo, Erasmo Tani

HEMM: Holistic Evaluation of Multimodal Foundation Models

#6807 · Paul Pu Liang, Akshay Goindani, Talha Chafekar, Leena Mathur, Haofei Yu, Ruslan Salakhutdinov, Louis-Philippe Morency

Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos

#6808 · Polina Turishcheva, Paul Fahey, Michaela Vystrčilová, Laura Hansel, Rachel Froebe, Kayla Ponder, Yongrong Qiu, Konstantin Willeke, Mohammad Bashiri, Ruslan Baikulov, Yu Zhu, Lei Ma, Shan Yu, Tiejun Huang, Bryan Li, Wolf De Wulf, Nina Kudryashova, Matthias Hennig, Nathalie Rochefort, Arno Onken, Eric Y. Wang, Zhiwei Ding, Andreas Tolias, Fabian Sinz, Alexander Ecker

Private and Personalized Frequency Estimation in a Federated Setting

#6809 · Amrith Setlur, Vitaly Feldman, Kunal Talwar

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

#6810 · Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung

Online Feature Updates Improve Online (Generalized) Label Shift Adaptation

#6900 · Ruihan Wu, Siddhartha Datta, Yi Su, Dheeraj Baby, Yu-Xiang Wang, Kilian Weinberger

GL-NeRF: Gauss-Laguerre Quadrature Enables Training-Free NeRF Acceleration

#6901 · Silong Yong, Yaqi Xie, Simon Stepputtis, Katia Sycara

Diffusion Spectral Representation for Reinforcement Learning

#6902 · Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits

#6903 · Dorian Baudry, Hugo Richard, Maria Cherifa, Vianney Perchet, Clément Calauzènes

Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

#6904 · Bingqi Ma, ZHUOFAN ZONG, Guanglu Song, Hongsheng Li, Yu Liu

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning

#6905 · Tianyu Chen, Zhendong Wang, Mingyuan Zhou

SIRIUS : Contexual Sparisty with Correction for Efficient LLMs

#6906 · Yang Zhou, Zhuoming Chen, Zhaozhuo Xu, Victoria Lin, Beidi Chen

Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments

#6907 · Yanping Li, Jingshen Wang, Waverly Wei

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization

#6908 · Qihao Liu, Zhanpeng Zeng, Ju He, Qihang Yu, Xiaohui Shen, Liang-Chieh Chen

Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation

#6909 · WANG JIAWEI, Renhe Jiang, Chuang Yang, Zengqing Wu, makoto onizuka, Ryosuke Shibasaki, Noboru Koshizuka, Chuan Xiao

I2EBench: A Comprehensive Benchmark for Instruction-based Image Editing

#6910 · Yiwei Ma, Jiayi Ji, Ke Ye, Weihuang Lin, Zhibin Wang, Yonghan Zheng, Qiang Zhou, Xiaoshuai Sun, Rongrong Ji

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization

#7000 · Xingchen Wan, Ruoxi Sun, Hootan Nakhost, Sercan Arik

Understanding Visual Feature Reliance through the Lens of Complexity

#7001 · Thomas Fel, Louis Béthune, Andrew Lampinen, Thomas Serre, Katherine Hermann

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning

#7002 · Guibin Zhang, Haonan Dong, yuchen zhang, Zhixun Li, Dingshuo Chen, Kai Wang, Tianlong Chen, Yuxuan Liang, Dawei Cheng, Kun Wang

Local to Global: Learning Dynamics and Effect of Initialization for Transformers

#7003 · Ashok Vardhan Makkuva, Marco Bondaschi, Adway Girish, Alliot Nagle, Hyeji Kim, Michael Gastpar, Chanakya Ekbote

MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages

#7004 · Zixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan

A Theoretical Understanding of Self-Correction through In-context Alignment

#7005 · Yifei Wang, Yuyang Wu, Zeming Wei, Stefanie Jegelka, Yisen Wang

Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus

#7006 · Yiming Wang, Kaiyan Zhao, Furui Liu, Leong Hou U

Exploitation of a Latent Mechanism in Graph Contrastive Learning: Representation Scattering

#7007 · Dongxiao He, Lianze Shan, Jitao Zhao, Hengrui Zhang, Zhen Wang, Weixiong Zhang

Quantifying Aleatoric Uncertainty of the Treatment Effect: A Novel Orthogonal Learner

#7008 · Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar

The Closeness of In-Context Learning and Weight Shifting for Softmax Regression

#7009 · Shuai Li, Zhao Song, Yu Xia, Tong Yu, Tianyi Zhou

ContextGS : Compact 3D Gaussian Splatting with Anchor Level Context Model

#7010 · Yufei Wang, Zhihao Li, Lanqing Guo, Wenhan Yang, Alex Kot, Bihan Wen

Label Delay in Online Continual Learning

#7100 · Botos Csaba, Wenxuan Zhang, Matthias Müller, Ser Nam Lim, Philip Torr, Adel Bibi

S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity

#7101 · Xinyu Yang, Jixuan Leng, Geyang Guo, Jiawei Zhao, Ryumei Nakada, Linjun Zhang, Huaxiu Yao, Beidi Chen

Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts

#7102 · Sukwon Yun, Inyoung Choi, Jie Peng, Yangfan Wu, Jingxuan Bao, Qiyiwen Zhang, Jiayi Xin, Qi Long, Tianlong Chen

Action Imitation in Common Action Space for Customized Action Image Synthesis

#7103 · wang lin, Jingyuan Chen, Jiaxin Shi, Zirun Guo, Yichen Zhu, Zehan Wang, Tao Jin, Zhou Zhao, Fei Wu, Shuicheng Yan, Hanwang Zhang

ReFT: Representation Finetuning for Language Models

#7104 · Zhengxuan Wu, Aryaman Arora, Zheng Wang, Atticus Geiger, Dan Jurafsky, Christopher D Manning, Christopher Potts

What Rotary Position Embedding Can Tell Us: Identifying Query and Key Weights Corresponding to Basic Syntactic or High-level Semantic Information

#7105 · Yiting Chen, Junchi Yan

UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems

#7106 · Zhi Zheng, Changliang Zhou, Tong Xialiang, Mingxuan Yuan, Zhenkun Wang

Don't Look Twice: Faster Video Transformers with Run-Length Tokenization

#7107 · Rohan Choudhury, Guanglei Zhu, Sihan Liu, Koichiro Niinuma, Kris Kitani, László Jeni

Symmetry-Informed Governing Equation Discovery

#7108 · Jianke Yang, Wang Rao, Nima Dehmamy, Robin Walters, Rose Yu

Learning Elastic Costs to Shape Monge Displacements

#7109 · Michal Klein, Aram-Alexandre Pooladian, Pierre Ablin, Eugene Ndiaye, Jonathan Niles-Weed, Marco Cuturi

On Feature Learning in Structured State Space Models

#7110 · Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher

LoTLIP: Improving Language-Image Pre-training for Long Text Understanding

#7200 · Wei Wu, Kecheng Zheng, Shuailei Ma, Fan Lu, Yuxin Guo, Yifei Zhang, Wei Chen, Qingpei Guo, Yujun Shen, Zheng-Jun Zha

Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit

#7201 · Jason Lee, Kazusato Oko, Taiji Suzuki, Denny Wu

Learning from Highly Sparse Spatio-temporal Data

#7202 · Leyan Deng, Chenwang Wu, Defu Lian, Enhong Chen

Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor

#7203 · Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang

Quantum Algorithms for Non-smooth Non-convex Optimization

#7204 · Chengchang Liu, Chaowen Guan, Jianhao He, John C.S. Lui

Large Spatial Model: End-to-end Unposed Images to Semantic 3D

#7205 · Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang "Atlas" Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang