NeurIPS 2024

4,493 papers

DEPrune: Depth-wise Separable Convolution Pruning for Maximizing GPU Parallelism

Cheonjun Park, Mincheol Park, Hyunchan Moon, Myung Kuk Yoon, Seokjin Go

Fast Sampling via Discrete Non-Markov Diffusion Models with Predetermined Transition Time

Zixiang Chen, Huizhuo Yuan, Yongqian Li, Yiwen Kou, Junkai Zhang

GFlowNet Assisted Biological Sequence Editing

Pouya M. Ghari, Alex M. Tseng, Gökcen Eraslan, Romain Lopez, Tommaso Biancalani

Scale Equivariant Graph Metanetworks

Ioannis Kalogeropoulos, Giorgos Bouritsas, Yannis Panagakis

SPEAR: Exact Gradient Inversion of Batches in Federated Learning

Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev

CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise

Lujian Yao, Haitao Zhao, Zhongze Wang, Kaijie Zhao, Jingchao Peng

Robustly overfitting latents for flexible neural image compression

Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai

Transformers are Minimax Optimal Nonparametric In-Context Learners

Juno Kim, Tai Nakamaki, Taiji Suzuki

SS3DM: Benchmarking Street-View Surface Reconstruction with a Synthetic 3D Mesh Dataset

Yubin Hu, Kairui Wen, Heng Zhou, Xiaoyang Guo, Yong-jin Liu

NetworkGym: Reinforcement Learning Environments for Multi-Access Traffic Management in Network Simulation

Momin Haider, Ming Yin, Menglei Zhang, Arpit Gupta, Jing Zhu

EgoSim: An Egocentric Multi-view Simulator and Real Dataset for Body-worn Cameras during Motion and Activity

Dominik Hollidt, Paul Streli, Jiaxi Jiang, Yasaman Haghighi, Changlin Qian

DeMo: Decoupling Motion Forecasting into Directional Intentions and Dynamic States

Bozhou Zhang, Nan Song, Li Zhang

Advancing Tool-Augmented Large Language Models: Integrating Insights from Errors in Inference Trees

Sijia Chen, Yibo Wang, Yi-Feng Wu, Qing-Guo Chen, Zhao Xu

BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

Yuri Kuratov, Aydar Bulatov, Petr Anokhin, Ivan Rodkin, Dmitry Sorokin

Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression

Xi Zhang, Xiaolin Wu

No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models

Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner

Normalization and effective learning rates in reinforcement learning

Clare Lyle, Zeyu Zheng, Khimya Khetarpal, James Martens, Hado van Hasselt

Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks

Abhipsa Basu, Saswat Subhajyoti Mallick, R. Venkatesh Babu

Visual Data Diagnosis and Debiasing with Concept Graphs

Rwiddhi Chakraborty, Yinong (Oliver) Wang, Jialu Gao, Runkai Zheng, Cheng Zhang

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

Ralph E Peterson, Aramis Tanelus, Christopher Ick, Bartul Mimica, Niegil Francis

UniAR: A Unified model for predicting human Attention and Responses on visual content

Peizhao Li, Junfeng He, Gang Li, Rachit Bhargava, Shaolei Shen

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns

Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo

Neuronal Competition Groups with Supervised STDP for Spike-Based Classification

Gaspard Goupy, Pierre Tirilly, Ioan Marius Bilasco

Rough Transformers: Lightweight and Continuous Time Series Modelling through Signature Patching

Fernando Moreno-Pino, Alvaro Arroyo, Harrison Waldon, Xiaowen Dong, Álvaro Cartea

Asymptotics of Alpha-Divergence Variational Inference Algorithms with Exponential Families

François Bertholom, randal douc, François Roueff

RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Chengquan Guo, Xun Liu, Chulin Xie, Andy Zhou, Yi Zeng

Task-Agnostic Machine-Learning-Assisted Inference

Jiacheng Miao, Qiongshi Lu

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

Meriem Boubdir, Edward Kim, Beyza Ermis, Sara Hooker, Marzieh Fadaee

Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting

Ahmed Ben Yahmed, Clément Calauzènes, Vianney Perchet

Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes

Zhenfeng Tu, Santiago Aranguri, Arthur Jacot

Asynchronous Perception Machine for Efficient Test Time Training

Rajat Modi, Yogesh Singh Rawat

RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization

Bing Yang, Changsheng Quan, Yabo Wang, Pengyu Wang, Yujie Yang

Hierarchical Visual Feature Aggregation for OCR-Free Document Understanding

JaeYoo Park, Jeonghyung Park, Bohyung Han, Jinyoung Choi, Jin Young Choi

Frozen-DETR: Enhancing DETR with Image Understanding from Frozen Foundation Models

Shenghao Fu, Junkai Yan, Qize Yang, Xihan Wei, Xiaohua Xie

SILENCE: Protecting privacy in offloaded speech understanding on resource-constrained devices

Dongqi Cai, Shangguang Wang, Zeling Zhang, Felix Xiaozhu Lin, Mengwei Xu

On the Computational Landscape of Replicable Learning

Alkis Kalavasis, Amin Karbasi, Grigoris Velegkas, Felix Zhou

Tight Bounds for Learning RUMs from Small Slates

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins

Lean Workbook: A large-scale Lean problem set formalized from natural language math problems

Huaiyuan Ying, Zijian Wu, Yihan Geng, Jiayu Wang, Dahua Lin

Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

Qingyuan Zeng, Zhenzhong Wang, Yiu-ming Cheung, Min Jiang

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

Mehdi Yazdani-Jahromi, Ali Khodabandeh Yalabadi, AmirArsalan Rajabi, Aida Tayebi, Ivan Garibay

Diffusion Models With Learned Adaptive Noise

Subham Sekhar Sahoo, Aaron Gokaslan, Chris De Sa, Volodymyr Kuleshov

SCOREQ: Speech Quality Assessment with Contrastive Regression

Alessandro Ragano, Jan Skoglund, Andrew Hines

SkipPredict: When to Invest in Predictions for Scheduling

Rana Shahout, Michael Mitzenmacher

Multi-Reward Best Policy Identification

Alessio Russo, Filippo Vannella

E-Motion: Future Motion Simulation via Event Sequence Diffusion

Song Wu, Zhiyu Zhu, Junhui Hou, GUANGMING Shi, Jinjian Wu

Self-Labeling the Job Shop Scheduling Problem

Andrea Corsini, Angelo Porrello, SIMONE CALDERARA, Mauro Dell'Amico

Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing

Yadong Qu, Yuxin Wang, Bangbang Zhou, Zixiao Wang, Hongtao Xie

Toward Approaches to Scalability in 3D Human Pose Estimation

Jun-Hee Kim, Seong-Whan Lee

Large Language Model Unlearning

Yuanshun Yao, Xiaojun Xu, Yang Liu, YangLiu

InterControl: Zero-shot Human Interaction Generation by Controlling Every Joint

Zhenzhi Wang, Jingbo Wang, Yixuan Li, Dahua Lin, Bo Dai

A Polar coordinate system represents syntax in large language models

Pablo Diego-Simón, Stéphane d'Ascoli, Emmanuel Chemla, Yair Lakretz, Jean-Remi King

Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models

Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng, Jiahui Gao

The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models

Hannah Rose Kirk, Alexander Whitefield, Paul Röttger, Andrew Bean, Katerina Margatina

TAIA: Large Language Models are Out-of-Distribution Data Learners

Shuyang Jiang, Yusheng Liao, Ya Zhang, Yanfeng Wang, Yu Wang

Coarse-to-Fine Concept Bottleneck Models

Konstantinos P. Panousis, Dino Ienco, Diego Marcos

Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages

Federico Mora, Justin Wong, Haley Lepe, Sahil Bhatia, Karim Elmaaroufi

Mutual Information Estimation via f-Divergence and Data Derangements

Nunzio A. Letizia, Nicola Novello, Andrea M. Tonello

FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification

Kexue Fu, xiaoyuan luo, Linhao Qu, Shuo Wang, Ying Xiong

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

Valentyn Melnychuk, Stefan Feuerriegel, Mihaela van der Schaar

Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness

Yiquan Li, Zhongzhu Chen, Kun Jin, Jiongxiao Wang, Jiachen Lei

Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable

Martin Bertran, Shuai Tang, Michael Kearns, Jamie Morgenstern, Aaron Roth

PURE: Prompt Evolution with Graph ODE for Out-of-distribution Fluid Dynamics Modeling

Hao Wu, Changhu Wang, Fan Xu, Jinbao Xue, Chong Chen

GOMAA-Geo: GOal Modality Agnostic Active Geo-localization

Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen, Chongjie Zhang, Nathan Jacobs

Generalization Analysis for Label-Specific Representation Learning

Min-ling Zhang, Yifan Zhang, Yi-Fan Zhang

Disentangled Representation Learning in Non-Markovian Causal Systems

Adam Li, Yushu Pan, Elias Bareinboim

LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling

Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo

GVKF: Gaussian Voxel Kernel Functions for Highly Efficient Surface Reconstruction in Open Scenes

Gaochao Song, Chong Cheng, Hao Wang

NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics

Jingbo Zhou, Shaorong Chen, Jun Xia, Sizhe Liu, Tianze Ling

Universal Neural Functionals

Allan Zhou, Chelsea Finn, James Harrison

Metric from Human: Zero-shot Monocular Metric Depth Estimation via Test-time Adaptation

Yizhou Zhao, Hengwei Bian, Kaihua Chen, Pengliang Ji, Liao Qu

M3LEO: A Multi-Modal, Multi-Label Earth Observation Dataset Integrating Interferometric SAR and Multispectral Data

Matt Allen, Francisco Dorr, Joseph A. Gallego-Mejia, Laura Martínez-Ferrer, Anna Jungbluth

Dimension-free deterministic equivalents and scaling laws for random feature regression

Leonardo Defilippis, Bruno Loureiro, Theodor Misiakiewicz

Carrot and Stick: Eliciting Comparison Data and Beyond

Yiling Chen, Shi Feng, Fang-Yi Yu

Towards Estimating Bounds on the Effect of Policies under Unobserved Confounding

Alexis Bellot, Silvia Chiappa

Lisa: Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning Attack

Tiansheng Huang, Sihao Hu, Fatih Ilhan, Selim Furkan Tekin, Ling Liu

Stepwise Alignment for Constrained Language Model Policy Optimization

Akifumi Wachi, Thien Q. Tran, Rei Sato, Takumi Tanabe, Youhei Akimoto

Probabilistic Decomposed Linear Dynamical Systems for Robust Discovery of Latent Neural Dynamics

Yenho Chen, Noga Mudrik, Kyle A. Johnsen, Sankaraleengam Alagapan, Christopher J. Rozell

Distributional Preference Alignment of LLMs via Optimal Transport

Igor Melnyk, Youssef Mroueh, Brian Belgodere, Mattia Rigotti, Apoorva Nitsure

Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows

Alberto Cabezas, Louis Sharrock, Christopher Nemeth

Algorithmic Capabilities of Random Transformers

Ziqian Zhong, Jacob Andreas

RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation

Peihua Mai, Ran Yan, Yan Pang

Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability

Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su

In-Context Symmetries: Self-Supervised Learning through Contextual World Models

Sharut Gupta, Chenyu Wang, Yifei Wang, Tommi Jaakkola, Stefanie Jegelka

Logical characterizations of recurrent graph neural networks with reals and floats

Veeti Ahvonen, Damian Heiman, Antti Kuusisto, Carsten Lutz

Optimal Flow Matching: Learning Straight Trajectories in Just One Step

Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Alexander Korotin

SeeA*: Efficient Exploration-Enhanced A* Search by Selective Sampling

Dengwei Zhao, Shikui Tu, Lei Xu

Principled Bayesian Optimization in Collaboration with Human Experts

Wenjie Xu, Masaki Adachi, Colin N. Jones, Michael A Osborne, Michael A. Osborne

BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens

Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang

Pretraining Codomain Attention Neural Operators for Solving Multiphysics PDEs

Md Ashiqur Rahman, Robert Joseph George, Mogab Elleithy, Daniel Leibovici, Zongyi Li

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random

Mingming Ha, Xuewen Tao, Wenfang Lin, Qiongxu Ma, Wujiang Xu

Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

Mengke Li, Ye Liu, Yang Lu, Yiqun Zhang, Yiu-ming Cheung

TrAct: Making First-layer Pre-Activations Trainable

Felix Petersen, Christian Borgelt, Stefano Ermon

On the Complexity of Teaching a Family of Linear Behavior Cloning Learners

Shubham Bharti, Stephen Wright, Adish Singla, Xiaojin Zhu

GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics

Dominik Klein, Théo Uscidda, Fabian Theis, Marco Cuturi

Mixture of Tokens: Continuous MoE through Cross-Example Aggregation

Szymon Antoniak, Michał Krutul, Maciej Pióro, Jakub Krajewski, Jan Ludziejewski

A Framework for Bilevel Optimization on Riemannian Manifolds

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Akiko Takeda

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging

Jiamian Wang, Zongliang Wu, Yulun Zhang, Xin Yuan, Tao LIN

Reinforcing LLM Agents via Policy Optimization with Action Decomposition

Muning Wen, Ziyu Wan, Jun Wang, Weinan Zhang, Ying Wen

Bootstrapping Top-down Information for Self-modulating Slot Attention

Dongwon Kim, Seoyeon Kim, Suha Kwak

Infer Induced Sentiment of Comment Response to Video: A New Task, Dataset and Baseline

Qi Jia, Baoyu Fan, Cong Xu, LU LIU, Liang Jin