NeurIPS 2024

4,493 papers

A Siamese Transformer with Hierarchical Refinement for Lane Detection

Zinan Lv, Dong Han, Wenzhe Wang, Danny Z Chen, Danny Z. Chen

Semi-supervised Knowledge Transfer Across Multi-omic Single-cell Data

Fan Zhang, Tianyu Liu, Zihao Chen, Xiaojiang Peng, Chong Chen

Simple and Fast Distillation of Diffusion Models

Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu

HGDL: Heterogeneous Graph Label Distribution Learning

Yufei Jin, Heng Lian, Yi He, Xingquan Zhu

On Weak Regret Analysis for Dueling Bandits

El Mehdi Saad, Alexandra Carpentier, Tomáš Kocák, Nicolas Verzelen

Discovering plasticity rules that organize and maintain neural circuits

David Bell, Alison Duffy, Adrienne Fairhall

LLM Circuit Analyses Are Consistent Across Training and Scale

Curt Tigges, Michael Hanna, Qinan Yu, Stella Biderman

Wasserstein convergence of Cech persistence diagrams for samplings of submanifolds

Charles Arnal, David Cohen-Steiner, Vincent Divol

MotionTTT: 2D Test-Time-Training Motion Estimation for 3D Motion Corrected MRI

Tobit Klug, Kun Wang, Stefan Ruschke, Reinhard Heckel

Progressive Exploration-Conformal Learning for Sparsely Annotated Object Detection in Aerial Images

Zihan Lu, Chenxu Wang, Chunyan Xu, Xiangwei Zheng, Zhen Cui

On the Sparsity of the Strong Lottery Ticket Hypothesis

Emanuele Natale, Davide Ferré, Giordano Giambartolomei, Frédéric Giroire, Frederik Mallmann-Trenn

Generative Modeling of Molecular Dynamics Trajectories

Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger

Reshuffling Resampling Splits Can Improve Generalization of Hyperparameter Optimization

Thomas Nagler, Lennart Schneider, Bernd Bischl, Matthias Feurer

On the Target-kernel Alignment: a Unified Analysis with Kernel Complexity

Chao Wang, XIN HE, Yuwen Wang, Junhui Wang

Online Learning with Sublinear Best-Action Queries

Matteo Russo, Andrea Celli, Riccardo Colini-Baldeschi, Federico Fusco, Daniel Haimovich

VERIFIED: A Video Corpus Moment Retrieval Benchmark for Fine-Grained Video Understanding

Houlun Chen, Xin Wang, Hong Chen, Zeyang Zhang, Wei Feng

Quasi-Bayes meets Vines

David Huk, Yuanhe Zhang, Mark Steel, Ritabrata Dutta

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

Kenneth Enevoldsen, Márton Kardos, Niklas Muennighoff, Kristoffer Laigaard Nielbo

Learning predictable and robust neural representations by straightening image sequences

Xueyan Niu, Cristina Savin, Eero P. Simoncelli

Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models

Byung-Kwan Lee, Beomchan Park, Yong Man Ro, Chaewon Kim, Chae Won Kim

HydraViT: Stacking Heads for a Scalable ViT

Janek Haberer, Ali Hojjat, Olaf Landsiedel

Long-tailed Object Detection Pretraining: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction

Chen-Long Duan, Yong Li, Xiu-Shen Wei, Lin Zhao

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

Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li

Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks

Andy Zhou, Bo Li, Haohan Wang

Interfacing Foundation Models' Embeddings

Xueyan Zou, Linjie Li, Jianfeng Wang, Jianwei Yang, Mingyu Ding

ABCFair: an Adaptable Benchmark approach for Comparing Fairness Methods

MaryBeth Defrance, Maarten Buyl, Tijl De Bie

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

Zijian Chen, Wei Sun, Yuan Tian, Jun Jia, Zicheng Zhang

RoboMamba: Efficient Vision-Language-Action Model for Robotic Reasoning and Manipulation

Jiaming Liu, Mengzhen Liu, Zhenyu Wang, Pengju An, Xiaoqi Li

Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data

Zhilin Zhao, Longbing Cao, Xuhui Fan, Wei-Shi Zheng

DenoiseRep: Denoising Model for Representation Learning

Zhengrui Xu, Guan'an Wang, Xiaowen Huang, Jitao Sang

PromptFix: You Prompt and We Fix the Photo

Yongsheng Yu, Ziyun Zeng, Hang Hua, Jianlong Fu, Jiebo Luo

Optimal Scalarizations for Sublinear Hypervolume Regret

Qiuyi (Richard) Zhang

On Differentially Private Subspace Estimation in a Distribution-Free Setting

Eliad Tsfadia

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges

Yiheng Zhu, Jialu Wu, Qiuyi Li, Jiahuan Yan, Mingze Yin

AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation

Lianyu Pang, Jian Yin, Baoquan Zhao, Feize Wu, Fu Lee Wang

Harnessing small projectors and multiple views for efficient vision pretraining

Arna Ghosh, Kumar Krishna Agrawal, Shagun Sodhani, Adam M. Oberman, Blake A. Richards

MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning

Bin-Bin Gao

Harmonizing Stochasticity and Determinism: Scene-responsive Diverse Human Motion Prediction

Tuo Wang, Zhenbo Song, Zhenyu Lou, Qiongjie Cui, Luoming Zhang

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions

Rui Yang, Jie Wang, Guoping Wu, Bin Li

The Sample-Communication Complexity Trade-off in Federated Q-Learning

Sudeep Salgia, Yuejie Chi

An exactly solvable model for emergence and scaling laws in the multitask sparse parity problem

Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Ard A. Louis

Interpreting and Analysing CLIP's Zero-Shot Image Classification via Mutual Knowledge

Fawaz Sammani, Nikos Deligiannis

Epipolar-Free 3D Gaussian Splatting for Generalizable Novel View Synthesis

Zhiyuan Min, Yawei Luo, Jianwen Sun, Yi Yang

Text-DiFuse: An Interactive Multi-Modal Image Fusion Framework based on Text-modulated Diffusion Model

Hao Zhang, Lei Cao, Jaiyi Ma

LG-CAV: Train Any Concept Activation Vector with Language Guidance

Qihan Huang, Jie Song, Mengqi Xue, Haofei Zhang, Bingde Hu

Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models

Lai Wei, Zhiquan Tan, Chenghai Li, Jindong Wang, Weiran Huang

Group-wise oracle-efficient algorithms for online multi-group learning

Samuel Deng, Daniel Hsu, Jingwen Liu

SlimSAM: 0.1% Data Makes Segment Anything Slim

Zigeng Chen, Gongfan Fang, Xinyin Ma, Xinchao Wang

Dual-Personalizing Adapter for Federated Foundation Models

Yiyuan Yang, Guodong Long, Tao Shen, Jing Jiang, Michael Blumenstein

GAMap: Zero-Shot Object Goal Navigation with Multi-Scale Geometric-Affordance Guidance

Shuaihang Yuan, Hao Huang, YU HAO, Congcong Wen, Anthony Tzes

Sample Complexity of Interventional Causal Representation Learning

Emre Acartürk, Burak Varıcı, Karthikeyan Shanmugam, Ali Tajer

L-TTA: Lightweight Test-Time Adaptation Using a Versatile Stem Layer

Jin Shin, Hyun Kim

ChatTracker: Enhancing Visual Tracking Performance via Chatting with Multimodal Large Language Model

Yiming Sun, Fan Yu, Shaoxiang Chen, Yu Zhang, Junwei Huang

DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering

Zhongpai Gao, Benjamin Planche, Meng Zheng, Xiao Chen, Terrence Chen

EEGPT: Pretrained Transformer for Universal and Reliable Representation of EEG Signals

Guagnyu Wang, Wenchao Liu, Yuhong He, Cong Xu, Lin Ma

Rethinking Misalignment in Vision-Language Model Adaptation from a Causal Perspective

Yanan Zhang, Jiangmeng Li, Lixiang Liu, Wenwen Qiang

Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking

Gabriel Rioux, Apoorva Nitsure, Mattia Rigotti, Kristjan Greenewald, Youssef Mroueh

GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models

ZAITANG LI, Pin-Yu Chen, Tsung-Yi Ho

Binding in hippocampal-entorhinal circuits enables compositionality in cognitive maps

Christopher J. Kymn, Sonia Mazelet, Anthony Thomas, Denis Kleyko, E. Paxon Frady

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly

Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

Evelyn Ma, Chao Pan, Rasoul Etesami, Han Zhao, Olgica Milenkovic

Gated Inference Network: Inference and Learning State-Space Models

Hamidreza Hashempoor, Wan Choi

BiDM: Pushing the Limit of Quantization for Diffusion Models

Xingyu Zheng, Xianglong Liu, Yichen Bian, Xudong Ma, Yulun Zhang

Leveraging Environment Interaction for Automated PDDL Translation and Planning with Large Language Models

Sadegh Mahdavi, Raquel Aoki, Keyi Tang, Yanshuai Cao

$\boldsymbol{\mu}\mathbf{P^2}$: Effective Sharpness Aware Minimization Requires Layerwise Perturbation Scaling

Moritz Haas, Jin Xu, Volkan Cevher, Leena Chennuru Vankadara

Certified Machine Unlearning via Noisy Stochastic Gradient Descent

Eli Chien, Haoyu Wang, Ziang Chen, Pan Li

Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective

Xinhao Yao, Xiaolin Hu, Shenzhi Yang, Yong Liu

Generative Hierarchical Materials Search

Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt

Maximizing utility in multi-agent environments by anticipating the behavior of other learners

Angelos Assos, Yuval Dagan, Constantinos Daskalakis

AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models

Yabin Zhang, Lei Zhang

An eye for an ear: zero-shot audio description leveraging an image captioner with audio-visual token distribution matching

Hugo Malard, Michel Olvera, Stéphane Lathuilière, Slim Essid

On the Power of Small-size Graph Neural Networks for Linear Programming

Qian Li, Tian Ding, Linxin Yang, Minghui Ouyang, Qingjiang Shi

Credal Learning Theory

Michele Caprio, Maryam Sultana, Eleni G. Elia, Fabio Cuzzolin

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective

Yi Ren, Shangmin Guo, Linlu Qiu, bailin wang, Danica J. Sutherland

Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers

Kai Yan, Alexander G. Schwing, Yu-Xiong Wang

Generalized Protein Pocket Generation with Prior-Informed Flow Matching

ZAIXI ZHANG, Marinka Zitnik, Qi Liu

SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data

Jialu Li, Jaemin Cho, Yi-Lin Sung, Jaehong Yoon, Mohit Bansal

Activating Self-Attention for Multi-Scene Absolute Pose Regression

Miso Lee, Jihwan Kim, Jae-Pil Heo

Attack-Resilient Image Watermarking Using Stable Diffusion

Lijun Zhang, Xiao Liu, Antoni Viros Martin, Cindy Xiong Bearfield, Yuriy Brun

Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient

Zechu Li, Rickmer Krohn, Tao Chen, Anurag Ajay, Pulkit Agrawal

When is Multicalibration Post-Processing Necessary?

Dutch Hansen, Siddartha Devic, Preetum Nakkiran, Vatsal Sharan

Simplifying Latent Dynamics with Softly State-Invariant World Models

Tankred Saanum, Peter Dayan, Eric Schulz

A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models

Hamidreza Kamkari, Brendan Leigh Ross, Rasa Hosseinzadeh, Jesse C. Cresswell, Gabriel Loaiza-Ganem

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Jingtong Su, Julia Kempe, Karen Ullrich

ClevrSkills: Compositional Language And Visual Reasoning in Robotics

Sanjay Haresh, Daniel Dijkman, Apratim Bhattacharyya, Roland Memisevic

Bayesian Optimization of Functions over Node Subsets in Graphs

Huidong Liang, Xingchen Wan, Xiaowen Dong

A Bayesian Approach to Data Point Selection

Xinnuo Xu, Minyoung Kim, Royson Lee, Brais Martinez, Timothy Hospedales

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise

Zhonghao Wang, Danyu Sun, Sheng Zhou, Haobo Wang, Jiapei Fan

Active Perception for Grasp Detection via Neural Graspness Field

Haoxiang Ma, Modi Shi, Boyang Gao, Di Huang

Kuro Siwo: 33 billion m^2 under the water. A global multi-temporal satellite dataset for rapid flood mapping

Nikolaos Ioannis Bountos, Maria Sdraka, Angelos Zavras, Ilektra Karasante, Andreas Karavias

ContactField: Implicit Field Representation for Multi-Person Interaction Geometry

Hansol Lee, Tackgeun You, Hansoo Park, Woohyeon Shim, Sanghyeon Kim

Learning Action and Reasoning-Centric Image Editing from Videos and Simulation

Benno Krojer, Dheeraj Vattikonda, Luis Lara, Varun Jampani, Eva Portelance

Randomized Truthful Auctions with Learning Agents

Gagan Aggarwal, Anupam Gupta, Andres Perlroth, Grigoris Velegkas

RanDumb: Random Representations Outperform Online Continually Learned Representations

Ameya Prabhu, Shiven Sinha, Ponnurangam Kumaraguru, Philip H.S. Torr, Ozan Sener

Soft ascent-descent as a stable and flexible alternative to flooding

Matthew J. Holland, Kosuke Nakatani

Learnability Matters: Active Learning for Video Captioning

Yiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang

GC-Bench: An Open and Unified Benchmark for Graph Condensation

Qingyun Sun, Ziying Chen, Beining Yang, Cheng Ji, Xingcheng Fu

Gradient-Variation Online Learning under Generalized Smoothness

Yan-Feng Xie, Peng Zhao, Zhi-Hua Zhou

Time Makes Space: Emergence of Place Fields in Networks Encoding Temporally Continuous Sensory Experiences

Zhaoze Wang, Ronald W. Di Tullio, Spencer Rooke, Vijay Balasubramanian

WindsorML: High-Fidelity Computational Fluid Dynamics Dataset For Automotive Aerodynamics

Neil Ashton, Jordan B. Angel, Aditya S. Ghate, Gaetan K. W. Kenway, Man Long Wong