NeurIPS 2024

4,493 papers

Learning to Predict Structural Vibrations

Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke

DiffuBox: Refining 3D Object Detection with Point Diffusion

Xiangyu Chen, Zhenzhen Liu, Katie Z Luo, Siddhartha Datta, Adhitya Polavaram

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

Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath, Yannis Flet-Berliac

Private Attribute Inference from Images with Vision-Language Models

Batuhan Tömekçe, Mark Vero, Robin Staab, Martin Vechev

SF-V: Single Forward Video Generation Model

Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag

DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection

Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao

From Dictionary to Tensor: A Scalable Multi-View Subspace Clustering Framework with Triple Information Enhancement

Zhibin Gu, Songhe Feng

Convergence Analysis of Split Federated Learning on Heterogeneous Data

Pengchao Han, Chao Huang, Geng Tian, Ming Tang, Xin Liu

Distributed-Order Fractional Graph Operating Network

KAI ZHAO, Xuhao Li, Qiyu Kang, Feng Ji, Qinxu Ding

Schrodinger Bridge Flow for Unpaired Data Translation

Valentin De Bortoli, Iryna Korshunova, Andriy Mnih, Arnaud Doucet

Saliency-driven Experience Replay for Continual Learning

Giovanni Bellitto, Federica Proietto Salanitri, Matteo Pennisi, Matteo Boschini, Lorenzo Bonicelli

Wild-GS: Real-Time Novel View Synthesis from Unconstrained Photo Collections

Jiacong Xu, Yiqun Mei, Vishal M. Patel

MoVA: Adapting Mixture of Vision Experts to Multimodal Context

Zhuofan Zong, Bingqi Ma, Dazhong Shen, Guanglu Song, Hao Shao

Direct Consistency Optimization for Robust Customization of Text-to-Image Diffusion models

Kyungmin Lee, Sangkyung Kwak, Kihyuk Sohn, Jinwoo Shin

ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs

Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li

On the Complexity of Learning Sparse Functions with Statistical and Gradient Queries

Nirmit Joshi, Theodor Misiakiewicz, Nathan Srebro

NeuRodin: A Two-stage Framework for High-Fidelity Neural Surface Reconstruction

Yifan Wang, Di Huang, Weicai Ye, Guofeng Zhang, Wanli Ouyang

Simplified and Generalized Masked Diffusion for Discrete Data

Jiaxin Shi, Kehang Han, Zhe Wang, Arnaud Doucet, Michalis K. Titsias

Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language Models

Baao Xie, Qiuyu Chen, Yunnan Wang, Zequn Zhang, Xin Jin

CSPG: Crossing Sparse Proximity Graphs for Approximate Nearest Neighbor Search

Ming Yang, Yuzheng Cai, Weiguo Zheng

APDDv2: Aesthetics of Paintings and Drawings Dataset with Artist Labeled Scores and Comments

Xin Jin, Qianqian Qiao, Yi Lu, Huaye Wang, Heng Huang

VMamba: Visual State Space Model

Yue Liu, Yunjie Tian, Yuzhong Zhao, Hongtian Yu, Lingxi Xie

Trading off Consistency and Dimensionality of Convex Surrogates for Multiclass Classification

Enrique Nueve, Bo Waggoner, Dhamma Kimpara, Jessie Finocchiaro

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

Miria Feng, Zachary Frangella, Mert Pilanci

HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection

Xuefeng Du, Chaowei Xiao, Yixuan Li

LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization

Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu

Seeing Beyond the Crop: Using Language Priors for Out-of-Bounding Box Keypoint Prediction

Bavesh Balaji, Jerrin Bright, Yuhao Chen, Sirisha Rambhatla, John S. Zelek

CIFD: Controlled Information Flow to Enhance Knowledge Distillation

Yashas Malur Saidutta, Rakshith S Srinivasa, Jaejin Cho, Ching-Hua Lee, Chouchang Yang

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion

Dongyang Li, CHEN WEI, Shiying Li, Jiachen Zou, Quanying Liu

Identifiability Guarantees for Causal Disentanglement from Purely Observational Data

Ryan Welch, Jiaqi Zhang, Caroline Uhler

Distribution-Aware Data Expansion with Diffusion Models

Haowei Zhu, Ling Yang, Jun-Hai Yong, Hongzhi Yin, Jiawei Jiang

Integrating Suboptimal Human Knowledge with Hierarchical Reinforcement Learning for Large-Scale Multiagent Systems

Dingbang Liu, Shohei Kato, Wen Gu, Fenghui Ren, Jun Yan

Super Consistency of Neural Network Landscapes and Learning Rate Transfer

Lorenzo Noci, Alexandru Meterez, Thomas Hofmann, Antonio Orvieto

Generate Universal Adversarial Perturbations for Few-Shot Learning

Yiman Hu, Yixiong Zou, Ruixuan Li, Yuhua Li

Conditional Outcome Equivalence: A Quantile Alternative to CATE

Josh Givens, Henry W J Reeve, Song Liu, Katarzyna Reluga

One-shot Federated Learning via Synthetic Distiller-Distillate Communication

Junyuan Zhang, Songhua Liu, Xinchao Wang

CODA: A Correlation-Oriented Disentanglement and Augmentation Modeling Scheme for Better Resisting Subpopulation Shifts

Ziquan OU, Zijun Zhang

SA3DIP: Segment Any 3D Instance with Potential 3D Priors

Xi Yang, Xu Gu, Xingyilang Yin, Xinbo Gao

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences

Damien Ferbach, Quentin Bertrand, Avishek Joey Bose, Gauthier Gidel

Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication

Yunuo Chen, Tianyi Xie, Zeshun Zong, Xuan Li, Feng Gao

Unsupervised Object Detection with Theoretical Guarantees

Marian Longa, João F. Henriques

A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

Lennert De Smet, Pedro Zuidberg Dos Martires

A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings

Disha Makhija, Joydeep Ghosh, nhật Hồ

Can Models Learn Skill Composition from Examples?

Haoyu Zhao, Simran Kaur, Dingli Yu, Anirudh Goyal, Sanjeev Arora

Full-Distance Evasion of Pedestrian Detectors in the Physical World

Zhi Cheng, Zhanhao Hu, Yuqiu Liu, Jianmin Li, Hang Su

Discovery of the Hidden World with Large Language Models

Chenxi Liu, Yongqiang Chen, Tongliang Liu, Mingming Gong, James Cheng

No Free Delivery Service: Epistemic limits of passive data collection in complex social systems

Maximilian Nickel

On the Scalability of Certified Adversarial Robustness with Generated Data

Thomas Altstidl, David Dobre, Arthur Kosmala, Björn Eskofier, Gauthier Gidel

TPR: Topology-Preserving Reservoirs for Generalized Zero-Shot Learning

Hui Chen, Yanbin Liu, Yongqiang Ma, Nanning Zheng, Xin Yu

Structured Multi-Track Accompaniment Arrangement via Style Prior Modelling

Jingwei Zhao, Gus Xia, Ziyu Wang, Ye Wang

UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation

Hanzhang Zhou, Zijian Feng, Zixiao Zhu, Junlang Qian, Kezhi Mao

Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding

Daniel Severo, Ashish Khisti, Alireza Makhzani

LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search

Elias Jääsaari, Ville Hyvönen, Teemu Roos

BioTrove: A Large Curated Image Dataset Enabling AI for Biodiversity

Chih-Hsuan Yang, Ben Feuer, Zaki Jubery, Zi K. Deng, Andre Nakkab

A Simulation Benchmark for Autonomous Racing with Large-Scale Human Data

Adrian Remonda, Nicklas Hansen, Ayoub Raji, Nicola Musiu, Marko Bertogna

Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation

Wei Dong, Yuan Sun, Yiting Yang, Xing Zhang, Zhijun Lin

Continuous Heatmap Regression for Pose Estimation via Implicit Neural Representation

Shengxiang Hu, Huaijiang Sun, Dong Wei, Xiaoning Sun, Jin Wang

CigTime: Corrective Instruction Generation Through Inverse Motion Editing

Qihang Fang, Chengcheng Tang, Bugra Tekin, Yanchao Yang

MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model

Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong

Learn To be Efficient: Build Structured Sparsity in Large Language Models

Haizhong Zheng, Xiaoyan Bai, Xueshen Liu, Z. Morley Mao, Beidi Chen

Preference Learning Algorithms Do Not Learn Preference Rankings

Angelica Chen, Sadhika Malladi, Lily H. Zhang, Xinyi Chen, Qiuyi Zhang

LM-HT SNN: Enhancing the Performance of SNN to ANN Counterpart through Learnable Multi-hierarchical Threshold Model

Zecheng Hao, Xinyu Shi, Yujia Liu, Zhaofei Yu, Tiejun Huang

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

Imanol Miranda, Ander Salaberria, Eneko Agirre, Gorka Azkune

Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set

Wenyuan Zhang, Yu-Shen Liu, Zhizhong Han

SSDM: Scalable Speech Dysfluency Modeling

Jiachen Lian, Xuanru Zhou, Zoe Ezzes, Jet Vonk, Brittany Morin

MotionGS: Exploring Explicit Motion Guidance for Deformable 3D Gaussian Splatting

Ruijie Zhu, Yanzhe Liang, Hanzhi Chang, Jiacheng Deng, Jiahao Lu

Learning to Decouple the Lights for 3D Face Texture Modeling

Tianxin Huang, Zhenyu Zhang, Ying Tai, Gim Hee Lee

Transfer Q-star : Principled Decoding for LLM Alignment

Souradip Chakraborty, Soumya Suvra Ghosal, Ming Yin, Dinesh Manocha, Mengdi Wang

Strategic Littlestone Dimension: Improved Bounds on Online Strategic Classification

Saba Ahmadi, Kunhe Yang, Hanrui Zhang

Fast Rates in Stochastic Online Convex Optimization by Exploiting the Curvature of Feasible Sets

Taira Tsuchiya, Shinji Ito

Neural Experts: Mixture of Experts for Implicit Neural Representations

Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Sameera Ramasinghe, Stephen Gould

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models

Pengxiang Li, Zhi Gao, Bofei Zhang, Tao Yuan, Yuwei Wu

RadarOcc: Robust 3D Occupancy Prediction with 4D Imaging Radar

Fangqiang Ding, Xiangyu Wen, Yunzhou Zhu, Yiming Li, Chris Xiaoxuan Lu

Any2Graph: Deep End-To-End Supervised Graph Prediction With An Optimal Transport Loss

Paul Krzakala, Junjie Yang, Rémi Flamary, Florence d'Alché-Buc, Charlotte Laclau

Consensus Learning with Deep Sets for Essential Matrix Estimation

Dror Moran, Yuval Margalit, Guy Trostianetsky, Fadi Khatib, Meirav Galun

Rethinking Transformer for Long Contextual Histopathology Whole Slide Image Analysis

Honglin Li, Yunlong Zhang, Pingyi Chen, Zhongyi Shui, Chenglu Zhu

DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion

Ke Sun, Shen Chen, Taiping Yao, Hong Liu, Xiaoshuai Sun

Multi-Scale Representation Learning for Protein Fitness Prediction

Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie Lozano, Vijil Chenthamarakshan

Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery

Haiyang Zheng, Nan Pu, Wenjing Li, Nicu Sebe, Zhun Zhong

Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis

Rachel S.Y. Teo, Tan M. Nguyen

SEEV: Synthesis with Efficient Exact Verification for ReLU Neural Barrier Functions

Hongchao Zhang, Zhizhen Qin, Sicun Gao, Andrew Clark

Tell What You Hear From What You See - Video to Audio Generation Through Text

Xiulong Liu, Kun Su, Eli Shlizerman

Foundations of Multivariate Distributional Reinforcement Learning

Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland

From Causal to Concept-Based Representation Learning

Goutham Rajendran, Simon Buchholz, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar

UniDSeg: Unified Cross-Domain 3D Semantic Segmentation via Visual Foundation Models Prior

Yao Wu, Mingwei Xing, Yachao Zhang, Xiaotong Luo, Yuan Xie

A Flexible, Equivariant Framework for Subgraph GNNs via Graph Products and Graph Coarsening

Guy Bar-Shalom, Yam Eitan, Fabrizio Frasca, Haggai Maron

OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images

Ye Mao, Junpeng Jing, Krystian Mikolajczyk

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models

Giannis Daras, Weili Nie, Karsten Kreis, Morteza Mardani, Nikola B. Kovachki

Voxel Proposal Network via Multi-Frame Knowledge Distillation for Semantic Scene Completion

Lubo Wang, Di Lin, Kairui Yang, Ruonan Liu, Qing Guo

TAPTRv2: Attention-based Position Update Improves Tracking Any Point

Hongyang Li, Hao Zhang, Shilong Liu, Zhaoyang Zeng, Feng Li

MUVERA: Multi-Vector Retrieval via Fixed Dimensional Encoding

Laxman Dhulipala, Majid Hadian, Rajesh Jayaram, Jason Lee, Vahab Mirrokni

An Information Theoretic Perspective on Conformal Prediction

Alvaro H.C. Correia, Fabio Valerio Massoli, Christos Louizos, Arash Behboodi

CodeRosetta: Pushing the Boundaries of Unsupervised Code Translation for Parallel Programming

Ali TehraniJamsaz, Arijit Bhattacharjee, Le Chen, Nesreen K. Ahmed, Amir Yazdanbakhsh

Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents

Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou

Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

Sangwon Jang, Jaehyeong Jo, Kimin Lee, Sung Ju Hwang

Paths to Equilibrium in Games

Bora Yongacoglu, Gürdal Arslan, Lacra Pavel, Serdar Yüksel

MOTE-NAS: Multi-Objective Training-based Estimate for Efficient Neural Architecture Search

Yu-Ming Zhang, Jun-Wei Hsieh, Xin Li, Ming-Ching Chang, Chun-Chieh Lee

Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients

Youssef Allouah, Abdellah El Mrini, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot

HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang

ConvBench: A Multi-Turn Conversation Evaluation Benchmark with Hierarchical Ablation Capability for Large Vision-Language Models

Shuo Liu, Kaining Ying, Hao Zhang, Yue Yang, Yuqi Lin