Book

LabelDP-Pro: Learning with Label Differential Privacy via Projections Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang

Conference

Implicit Maximum a Posteriori Filtering via Adaptive Optimization Gianluca Bencomo, Jake Snell, Thomas L. Griffiths

Conference

The Unreasonable Effectiveness of Linear Prediction as a Perceptual Metric Daniel Severo, Lucas Theis, Johannes Ballé

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Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering Han Zhou, Xingchen Wan, Lev Proleev, Diana Mincu, Jilin Chen, Katherine Heller, Subhrajit Roy

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LLM Augmented LLMs: Expanding Capabilities through Composition Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

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SEA: Sparse Linear Attention with Estimated Attention Mask Heejun Lee, Jina Kim, Jeff Willette, Sung Ju Hwang

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Towards Understanding Sycophancy in Language Models Mrinank Sharma, Meg Tong, Tomek Korbak, David Duvenaud, Amanda Askell, Sam Bowman, Esin DURMUS, Zac Hatfield-Dodds, Scott Johnston, Shauna Kravec, Timothy Maxwell, Sam McCandlish, Kamal Ndousse, Oliver Rausch, Nicholas Schiefer, Da Yan, Miranda Zhang, Ethan Perez

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Entropy Coding of Unordered Data Structures Julius Kunze, Daniel Severo, giulio zani, Jan-Willem van de Meent, James Townsend

Conference

Nemesis: Normalizing the Soft-prompt Vectors of Vision-Language Models Shuai Fu, Xiequn Wang, Qiushi Huang, Yu Zhang

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What does the Knowledge Neuron Thesis Have to do with Knowledge? Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn

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Robust NAS under adversarial training: benchmark, theory, and beyond Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel, Grigorios Chrysos, Volkan Cevher

Conference

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs Yuxin Zhang, Lirui Zhao, Mingbao Lin, Sun Yunyun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji

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Mirage: Model-agnostic Graph Distillation for Graph Classification Mridul Gupta, Sahil Manchanda, HARIPRASAD KODAMANA, Sayan Ranu

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Influencer Backdoor Attack on Semantic Segmentation Haoheng Lan, Jindong Gu, Philip Torr, Hengshuang Zhao

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A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines Manju Garimella, Denizhan Pak, Justin Wood, Samantha Wood

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The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. Aaron Spieler, Nasim Rahaman, Georg Martius, David Ha, Anna Levina

Conference

Latent 3D Graph Diffusion Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

Conference

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian Theis

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Score Models for Offline Goal-Conditioned Reinforcement Learning Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

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It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition CHEN CHEN, Ruizhe Li, Yuchen Hu, Sabato Siniscalchi, Pin-Yu Chen, Ensiong Chng, Chao-Han Huck Yang

Conference

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

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Finite-Time Analysis of On-Policy Heterogeneous Federated Reinforcement Learning Chenyu Zhang, Han Wang, Aritra Mitra, James Anderson

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Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu

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BrainLM: A foundation model for brain activity recordings Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Syed Rizvi, Matteo Rosati, Christopher Averill, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Dhodapkar, Chadi Abdallah, David van Dijk

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Branch-GAN: Improving Text Generation with (not so) Large Language Models Fredrik Carlsson, Johan Broberg, Erik Hillbom, Magnus Sahlgren, Joakim Nivre

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Maximum Entropy Model Correction in Reinforcement Learning Amin Rakhsha, Mete Kemertas, Mohammad Ghavamzadeh, Amir-massoud Farahmand

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Does Writing with Language Models Reduce Content Diversity? Vishakh Padmakumar, He He

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Modulate Your Spectrum in Self-Supervised Learning Xi Weng, Yunhao Ni, Tengwei Song, Jie Luo, Rao Anwer, Salman Khan, Fahad Khan, Lei Huang

Conference

NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, sheng zhao, Jiang Bian

Conference

Context is Environment Sharut Gupta, Stefanie Jegelka, David Lopez-Paz, Kartik Ahuja

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Language Model Beats Diffusion - Tokenizer is key to visual generation Lijun Yu, José Lezama, Nitesh Bharadwaj Gundavarapu, Luca Versari, Kihyuk Sohn, David Minnen, Yong Cheng, Agrim Gupta, Xiuye Gu, Alexander G Hauptmann, Boqing Gong, Ming-Hsuan Yang, Irfan Essa, David Ross, Lu Jiang

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Evaluating Language Model Agency Through Negotiations Tim R. Davidson, Veniamin Veselovsky, Michal Kosinski, Robert West

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Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment Siyao Li, Tianpei Gu, Zhitao Yang, Zhengyu Lin, Ziwei Liu, Henghui Ding, Lei Yang, Chen Change Loy

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Object centric architectures enable efficient causal representation learning Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio

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A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging Shiqiang Wang, Mingyue Ji

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Frozen Transformers in Language Models Are Effective Visual Encoder Layers Ziqi Pang, Ziyang Xie, Yunze Man, Yu-Xiong Wang

Conference

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation Xuefei Ning, Zinan Lin, Zixuan Zhou, Zifu Wang, Huazhong Yang, Yu Wang

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Image Inpainting via Tractable Steering of Diffusion Models Anji Liu, Mathias Niepert, Guy Van den Broeck

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Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting Aleksei Ustimenko, Aleksandr Beznosikov

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On the generalization capacity of neural networks during generic multimodal reasoning Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell

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Convolutional Deep Kernel Machines Edward Milsom, Ben Anson, Laurence Aitchison

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Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann, Sabine Susstrunk

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Course Correcting Koopman Representations Mahan Fathi, Clement Gehring, Jonathan Pilault, David Kanaa, Pierre-Luc Bacon, Ross Goroshin

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Generalized Policy Iteration using Tensor Approximation for Hybrid Control Suhan Shetty, Teng Xue, Sylvain Calinon

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Retrieval-Enhanced Contrastive Vision-Text Models Ahmet Iscen, Mathilde Caron, Alireza Fathi, Cordelia Schmid

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Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks Ziping Xu, Zifan Xu, Runxuan Jiang, Peter Stone, Ambuj Tewari

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Circumventing Concept Erasure Methods For Text-To-Image Generative Models Minh Pham, Kelly Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde

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NECO: NEural Collapse Based Out-of-distribution detection Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi

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"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

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COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William Freeman, Ruth Rosenholtz

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Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang

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OpenTab: Advancing Large Language Models as Open-domain Table Reasoners Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis

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Approximately Piecewise E(3) Equivariant Point Networks Matan Atzmon, Jiahui Huang, Francis Williams, Or Litany

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BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity Andrew Luo, Maggie Henderson, Michael Tarr, Leila Wehbe

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Debiasing Algorithm through Model Adaptation Tomasz Limisiewicz, David Mareček, Tomáš Musil

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Image Clustering Conditioned on Text Criteria Sehyun Kwon, Jaden Park, Minkyu Kim, Jaewoong Cho, Ernest K. Ryu, Kangwook Lee

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Fast Updating Truncated SVD for Representation Learning with Sparse Matrices Haoran Deng, Yang Yang, Jiahe Li, Cheng Chen, Weihao Jiang, Shiliang Pu

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Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren

Conference

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models Zijun Wu, Yongkang Wu, Lili Mou

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MaGIC: Multi-modality Guided Image Completion Hao Wang, Yongsheng Yu, Tiejian Luo, Heng Fan, Libo Zhang

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Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu

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SmartPlay : A Benchmark for LLMs as Intelligent Agents Yue Wu, Xuan Tang, Tom Mitchell, Yuanzhi Li

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Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning Jiechao GUAN, Hui Xiong

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Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs Woomin Song, Seunghyuk Oh, Sangwoo Mo, Jaehyung Kim, Sukmin Yun, Jung-Woo Ha, Jinwoo Shin

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TokenFlow: Consistent Diffusion Features for Consistent Video Editing Michal Geyer, Omer Bar Tal, Shai Bagon, Tali Dekel

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Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training Hong Liu, Zhiyuan Li, David Hall, Percy Liang, Tengyu Ma

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Towards Best Practices of Activation Patching in Language Models: Metrics and Methods Fred Zhang, Neel Nanda

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Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing Jaroslaw Blasiok, Preetum Nakkiran

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LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang, Junchi Yan, Hongyang Li

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A Discretization Framework for Robust Contextual Stochastic Optimization Rares Cristian, Georgia Perakis

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Geographic Location Encoding with Spherical Harmonics and Sinusoidal Representation Networks Marc Rußwurm, Konstantin Klemmer, Esther Rolf, Robin Zbinden, Devis Tuia

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ADOPD: A Large-Scale Document Page Decomposition Dataset Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang, Anqi Liu, Ani Nenkova, Tong Sun

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TorchRL: A data-driven decision-making library for PyTorch Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

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Bayesian Low-rank Adaptation for Large Language Models Adam Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison

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Never Train from Scratch: Fair Comparison of Long-Sequence Models Requires Data-Driven Priors Ido Amos, Jonathan Berant, Ankit Gupta

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SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis Dustin Podell, Zion English, Kyle Lacey, Andreas Blattmann, Tim Dockhorn, Jonas Müller, Joe Penna, Robin Rombach

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Solving Homogeneous and Heterogeneous Cooperative Tasks with Greedy Sequential Execution Shanqi Liu, Dong Xing, Pengjie Gu, Xinrun Wang, Bo An, Yong Liu

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Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi

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BECLR: Batch Enhanced Contrastive Few-Shot Learning Stylianos Poulakakis-Daktylidis, Hadi J. Rad

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On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

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VersVideo: Leveraging Enhanced Temporal Diffusion Models for Versatile Video Generation Jinxi Xiang, Ricong Huang, Jun Zhang, Guanbin Li, Xiao Han, Yang Wei

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Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan JIANG, Edith Ngai

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GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules Zhenfang Chen, Rui Sun, Wenjun Liu, Yining Hong, Chuang Gan

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Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning Yeda Song, Dongwook Lee, Gunhee Kim

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IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang, Dylan Campbell, Peter Tu, Richard Hartley

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Sliced Wasserstein Estimation with Control Variates Khai Nguyen, Nhat Ho

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GAIA: Zero-shot Talking Avatar Generation Tianyu He, Junliang Guo, Runyi Yu, Yuchi Wang, jialiang zhu, Kaikai An, Leyi Li, Xu Tan, Chunyu Wang, Han Hu, HsiangTao Wu, sheng zhao, Jiang Bian

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Feature-aligned N-BEATS with Sinkhorn divergence Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park

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A Foundation Model for Error Correction Codes Yoni Choukroun, Lior Wolf

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MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images Xurui Li, Ziming Huang, Feng Xue, Yu Zhou

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Hypergraph Dynamic System Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao

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BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection Tinghao Xie, Xiangyu Qi, Ping He, Yiming Li, Jiachen (Tianhao) Wang, Prateek Mittal

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Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li

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Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference Khalid OUBLAL, Said Ladjal, David Benhaiem, Emmanuel LE BORGNE, François Roueff

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ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference Jason Chun Lok Li, Steven Luo, Le Xu, Ngai Wong

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Mastering Memory Tasks with World Models Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar

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Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations yisheng xiao, Juntao Li, Zechen Sun, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Min Zhang

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Reward-Free Curricula for Training Robust World Models Marc Rigter, Minqi Jiang, Ingmar Posner

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Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness Fran Jelenić, Josip Jukić, Martin Tutek, Mate Puljiz, Jan Snajder

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Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang

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Recursive Generalization Transformer for Image Super-Resolution Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang

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Efficient Inverse Multiagent Learning Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh

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Language Models Represent Space and Time Wes Gurnee, Max Tegmark

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Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning Haowen Wang, Tao Sun, Congyun Jin, Yingbo Wang, Yibo Fan, Yunqi Xu, Yuliang Du, Cong Fan

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Towards Category Unification of 3D Single Object Tracking on Point Clouds Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie

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Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization Jin Zhou, Charles Staats, Wenda Li, Christian Szegedy, Kilian Weinberger, Yuhuai Wu

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Complete and Efficient Graph Transformers for Crystal Material Property Prediction Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

Conference

In-context Autoencoder for Context Compression in a Large Language Model Tao Ge, Hu Jing, Lei Wang, Xun Wang, Si-Qing Chen, Furu Wei

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Privileged Sensing Scaffolds Reinforcement Learning Edward Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman

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Vision Transformers Need Registers Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski

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AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan

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Predictive auxiliary objectives in deep RL mimic learning in the brain Ching Fang, Kimberly Stachenfeld

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Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

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Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma, Rudy R Bunel, Krishnamurthy Dvijotham, M. Pawan Kumar, Robert Stanforth, Alessio Lomuscio

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A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models Haoran Xu, Young Jin Kim, Amr Mohamed Nabil Aly Aly Sharaf, Hany Awadalla

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Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding Alizée Pace, Hugo Yèche, David Ha, Gunnar Ratsch, Guy Tennenholtz

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Optimistic Bayesian Optimization with Unknown Constraints Quoc Phong Nguyen, Wan Theng Ruth Chew, Le Song, Bryan Kian Hsiang Low, Patrick Jaillet

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Generalization error of spectral algorithms Maksim Velikanov, Maxim Panov, Dmitry Yarotsky

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3D Reconstruction with Generalizable Neural Fields using Scene Priors Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu

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Graph Parsing Networks Yunchong Song, Siyuan Huang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin

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An LLM can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli

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CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery YUXIAO CHENG, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He

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ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering Ilya Shenbin, Sergey Nikolenko

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Lemur: Integrating Large Language Models in Automated Program Verification Haoze Wu, Clark Barrett, Nina Narodytska

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HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo, Kijung Shin

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TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts Hyunwook Lee, Sungahn Ko

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Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou

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INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye

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Equivariant Matrix Function Neural Networks Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi, Christoph Ortner, Felix Faber

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Minimum width for universal approximation using ReLU networks on compact domain Namjun Kim, Chanho Min, Sejun Park

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ZeroFlow: Scalable Scene Flow via Distillation Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, ERIC EATON, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays

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Enhanced Face Recognition using Intra-class Incoherence Constraint Yuanqing Huang, Yinggui Wang, Le Yang, Lei Wang

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Large-scale Training of Foundation Models for Wearable Biosignals Salar Abbaspourazad, Oussama Elachqar, Andrew Miller, Saba Emrani, Udhyakumar Nallasamy, Ian Shapiro

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Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models Senmao Li, Joost van de Weijer, taihang Hu, Fahad Khan, Qibin Hou, Yaxing Wang, jian Yang

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In-Context Learning Learns Label Relationships but Is Not Conventional Learning Jannik Kossen, Yarin Gal, Tom Rainforth

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Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks Xihaier Luo, Wei Xu, Balasubramanya T. Nadiga, Yihui Ren, Shinjae Yoo

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Generalization of Scaled Deep ResNets in the Mean-Field Regime Yihang Chen, Fanghui Liu, Yiping Lu, Grigorios Chrysos, Volkan Cevher

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LEMON: Lossless model expansion Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang

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V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection Yichao Shen, Zigang Geng, YUHUI YUAN, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo

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SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking Chris Cundy, Stefano Ermon

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Explaining Kernel Clustering via Decision Trees Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar

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Early Neuron Alignment in Two-layer ReLU Networks with Small Initialization Hancheng Min, Enrique Mallada, Rene Vidal

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Seer: Language Instructed Video Prediction with Latent Diffusion Models Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao

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Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis, Łukasz Dudziak, Da Li, Timothy Hospedales

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Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang

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Self-Alignment with Instruction Backtranslation Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason E Weston, Mike Lewis

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Learning Planning Abstractions from Language Weiyu Liu, Geng Chen, Joy Hsu, Jiayuan Mao, Jiajun Wu

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Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models Shuai Zhao, Xiaohan Wang, Linchao Zhu, Yi Yang

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Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts Huy Nguyen, Pedram Akbarian Saravi, Fanqi Yan, Nhat Ho

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GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion Xueyi Liu, Li Yi

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Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Du

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Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo

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Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman, Sanghamitra Dutta

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To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets Darshil Doshi, Aritra Das, Tianyu He, Andrey Gromov

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GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

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Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model Yinan Zheng, Jianxiong Li, Dongjie Yu, Yujie Yang, Shengbo Li, Xianyuan Zhan, Jingjing Liu

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Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, Chen Lin, Yeyun Gong, Lionel Ni, Heung-Yeung Shum, Jian Guo

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CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception Jiachen Sun, Haizhong Zheng, Qingzhao Zhang, Atul Prakash, Zhuoqing Mao, Chaowei Xiao

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Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo

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On Representation Complexity of Model-based and Model-free Reinforcement Learning Hanlin Zhu, Baihe Huang, Stuart Russell

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Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang, Yinglong Xia, Ross Maciejewski, Jiebo Luo, Hanghang Tong

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RingAttention with Blockwise Transformers for Near-Infinite Context Hao Liu, Matei Zaharia, Pieter Abbeel

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DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization Yanpeng Zhao, Siyu Gao, Yunbo Wang, Xiaokang Yang

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Confidential-DPproof: Confidential Proof of Differentially Private Training Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller

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Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models Thomas Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel

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Contextual Bandits with Online Neural Regression Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee

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Efficient Continual Finite-Sum Minimization Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Dadi, Volkan Cevher

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Language Model Cascades: Token-Level Uncertainty And Beyond Neha Gupta, Harikrishna Narasimhan, Wittawat Jitkrittum, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar

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LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu

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Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates Nicholas Corrado, Josiah Hanna

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REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes David Ireland, Giovanni Montana

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Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov, Sidak Pal Singh

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How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation Josh Alman, Zhao Song

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A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong

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Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang

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Differentiable Learning of Generalized Structured Matrices for Efficient Deep Neural Networks Changwoo Lee, Hun-Seok Kim

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Adversarial AutoMixup Huafeng Qin, Xin Jin, Yun Jiang, Mounîm El-Yacoubi, Xinbo Gao

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Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization Amirhossein Vahidi, Simon Schosser, Lisa Wimmer, Yawei Li, Bernd Bischl, Eyke Hüllermeier, Mina Rezaei

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Kalman Filter for Online Classification of Non-Stationary Data Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein

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Multi-View Causal Representation Learning with Partial Observability Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello

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Multiscale Positive-Unlabeled Detection of AI-Generated Texts Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, QINGHUA ZHANG, Ruifeng Li, Chao Xu, Yunhe Wang

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Identifiable Latent Polynomial Causal Models through the Lens of Change Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton Hengel, Kun Zhang, Javen Qinfeng Shi

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Compressed Context Memory for Online Language Model Interaction Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song

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Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning Youhan Lee, Hasun Yu, Jaemyung Lee, Jaehoon Kim

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Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Benjamin Eysenbach, Tuomas Sandholm, Furong Huang, Stephen McAleer

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Training-free Multi-objective Diffusion Model for 3D Molecule Generation XU HAN, Caihua Shan, Yifei Shen, Can Xu, Han Yang, Xiang Li, Dongsheng Li

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CrossLoco: Human Motion Driven Control of Legged Robots via Guided Unsupervised Reinforcement Learning Tianyu Li, Hyunyoung Jung, Matthew Gombolay, Yong Cho, Sehoon Ha

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Parametric Augmentation for Time Series Contrastive Learning Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo

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MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning S Chandra Mouli, Muhammad Alam, Bruno Ribeiro

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Guiding Instruction-based Image Editing via Multimodal Large Language Models Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Wang, Yinfei Yang, Zhe Gan

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An operator preconditioning perspective on training in physics-informed machine learning Tim De Ryck, Florent Bonnet, Siddhartha Mishra, Emmanuel de Bézenac

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Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua

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Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies Xiangyu Liu, Chenghao Deng, Yanchao Sun, Yongyuan Liang, Furong Huang

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Learning From Simplicial Data Based on Random Walks and 1D Convolutions Florian Frantzen, Michael Schaub

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How Many Pretraining Tasks Are Needed for In-Context Learning of Linear Regression? Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Peter Bartlett

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Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning Mingde Zhao, Safa Alver, Harm Seijen, Romain Laroche, Doina Precup, Yoshua Bengio

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AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? Qi Zhao, Shijie Wang, Ce Zhang, Changcheng Fu, Minh Quan Do, Nakul Agarwal, Kwonjoon Lee, Chen Sun

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Multilinear Operator Networks Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher

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LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua Susskind, Etai Littwin

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Universal Humanoid Motion Representations for Physics-Based Control Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris Kitani, Weipeng Xu

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AnyText: Multilingual Visual Text Generation and Editing Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He, Yifeng Geng, Xuansong Xie

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Inherently Interpretable Time Series Classification via Multiple Instance Learning Joseph Early, Gavin Cheung, Kurt Cutajar, Hanting Xie, Jas Kandola, Niall Twomey

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Sample-Efficient Quality-Diversity by Cooperative Coevolution Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian

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A Sublinear Adversarial Training Algorithm Yeqi Gao, Lianke Qin, Zhao Song, Yitan Wang

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Diagnosing Transformers: Illuminating Feature Spaces for Clinical Decision-Making Aliyah Hsu, Yeshwanth Cherapanamjeri, Briton Park, Tristan Naumann, Anobel Odisho, Bin Yu

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Understanding Expressivity of GNN in Rule Learning Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao

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Scalable Neural Network Kernels Arijit Sehanobish, Krzysztof Choromanski, YUNFAN ZHAO, Kumar Dubey, Valerii Likhosherstov

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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng, Chelsea Finn, Mohit Bansal, Huaxiu Yao

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Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching Ziyao Guo, Kai Wang, George Cazenavette, HUI LI, Kaipeng Zhang, Yang You

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OpenChat: Advancing Open-source Language Models with Mixed-Quality Data Guan Wang, Sijie Cheng, Xianyuan Zhan, Xiangang Li, Sen Song, Yang Liu

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Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng

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Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate Meirui Jiang, Anjie Le, Xiaoxiao Li, Qi Dou

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Dynamic Layer Tying for Parameter-Efficient Transformers Tamir David-Hay, Lior Wolf

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Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces Fabian Akkerman, Julius Luy, Wouter van Heeswijk, Maximilian Schiffer

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Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning Finn Rietz, Erik Schaffernicht, Stefan Heinrich, Johannes A. Stork

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Ferret: Refer and Ground Anything Anywhere at Any Granularity Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang, Zirui Wang, Liangliang Cao, Shih-Fu Chang, Yinfei Yang

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Making RL with Preference-based Feedback Efficient via Randomization Runzhe Wu, Wen Sun

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Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli, Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu

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Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning Sheng Li, Chao Wu, Ao Li, Yanzhi Wang, Xulong Tang, Geng Yuan

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Pooling Image Datasets with Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas, Vishnu Lokhande, Vikas Singh

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Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

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Maximum Entropy Heterogeneous-Agent Reinforcement Learning Jiarong Liu, Yifan Zhong, Siyi Hu, Haobo Fu, QIANG FU, Xiaojun Chang, Yaodong Yang

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Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing HONG, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang

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Federated Q-Learning: Linear Regret Speedup with Low Communication Cost Zhong Zheng, Fengyu Gao, Lingzhou Xue, Jing Yang

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Self-Supervised Dataset Distillation for Transfer Learning Dong Bok Lee, Seanie Lee, Joonho Ko, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang

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Hindsight PRIORs for Reward Learning from Human Preferences Mudit Verma, Katherine Metcalf

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Efficient Modulation for Vision Networks Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan

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PAC-FNO: Parallel-Structured All-Component Fourier Neural Operators for Recognizing Low-Quality Images Jinsung Jeon, Hyundong Jin, Jonghyun Choi, Sanghyun Hong, Dongeun Lee, Kookjin Lee, Noseong Park

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Neural Active Learning Beyond Bandits Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, Jingrui He

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Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña-Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel Castro, Daniel Alexander

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PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis Junsong Chen, Jincheng YU, Chongjian GE, Lewei Yao, Enze Xie, Zhongdao Wang, James Kwok, Ping Luo, Huchuan Lu, Zhenguo Li

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Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging Max Zimmer, Christoph Spiegel, Sebastian Pokutta

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PromptTTS 2: Describing and Generating Voices with Text Prompt Yichong Leng, ZHifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, leying zhang, Kaitao Song, Lei He, Xiangyang Li, sheng zhao, Tao Qin, Jiang Bian

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Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang

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CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Nan Duan, Weizhu Chen

Conference

Counterfactual Density Estimation using Kernel Stein Discrepancies Diego Martinez-Taboada, Edward Kennedy

Conference

Adversarial Training Should Be Cast as a Non-Zero-Sum Game Alex Robey, Fabian Latorre, George Pappas, Hamed Hassani, Volkan Cevher

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Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision? Gourav Datta, Zeyu Liu, Peter Beerel

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An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization Fei Kong, Jinhao Duan, ruipeng ma, Heng Tao Shen, Xiaoshuang Shi, Xiaofeng Zhu, Kaidi Xu

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Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras

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Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun MA, Zhou Zhao

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FedWon: Triumphing Multi-domain Federated Learning Without Normalization Weiming Zhuang, Lingjuan Lyu

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Group Preference Optimization: Few-Shot Alignment of Large Language Models Siyan Zhao, John Dang, Aditya Grover

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ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao

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DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer Junyuan Hong, Jiachen (Tianhao) Wang, Chenhui Zhang, Zhangheng LI, Bo Li, Zhangyang Wang

Conference

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