NeurIPS 2024

4,493 papers

HiCo: Hierarchical Controllable Diffusion Model for Layout-to-image Generation

Bo Cheng, Yuhang Ma, Liebucha Wu, Shanyuan Liu, Ao Ma

Graph Structure Inference with BAM: Neural Dependency Processing via Bilinear Attention

Philipp Froehlich, Heinz Koeppl

Spiking Token Mixer: An event-driven friendly Former structure for spiking neural networks

Shikuang Deng, Yuhang Wu, Kangrui Du, Shi Gu

ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation

Majdi Hassan, Nikhil Shenoy, Jungyoon Lee, Hannes Stärk, Stephan Thaler

Geometric Analysis of Nonlinear Manifold Clustering

Nimita Shinde, Tianjiao Ding, Daniel P. Robinson, René Vidal

SafeWorld: Geo-Diverse Safety Alignment

Da Yin, Haoyi Qiu, Kung-Hsiang Huang, Kai-Wei Chang, Nanyun Peng

Symmetric Linear Bandits with Hidden Symmetry

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

InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models

Linyi Li, Shijie Geng, Zhenwen Li, Yibo He, Hao Yu

Neural Krylov Iteration for Accelerating Linear System Solving

Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng

Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry

Raef Bassily, Cristóbal Guzmán, Michael Menart

DistrictNet: Decision-aware learning for geographical districting

Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut Vidal

Slice-100K: A Multimodal Dataset for Extrusion-based 3D Printing

Anushrut Jignasu, Kelly O. Marshall, Ankush Kumar Mishra, Lucas Nerone Rillo, Baskar Ganapathysubramanian

A hierarchical decomposition for explaining ML performance discrepancies

Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng

Regularized Adaptive Momentum Dual Averaging with an Efficient Inexact Subproblem Solver for Training Structured Neural Network

Zih-Syuan Huang, Ching-pei Lee

Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks

Zijian Gao, Xingxing Zhang, Kele Xu, Xinjun Mao, Huaimin Wang

SARDet-100K: Towards Open-Source Benchmark and ToolKit for Large-Scale SAR Object Detection

Yuxuan Li, Xiang Li, Weijie Li, Qibin Hou, Li Liu

Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models

Yifan Zhang, Junhui Hou

GenArtist: Multimodal LLM as an Agent for Unified Image Generation and Editing

Zhenyu Wang, Aoxue Li, Zhenguo Li, Xihui Liu

Multi-times Monte Carlo Rendering for Inter-reflection Reconstruction

Tengjie Zhu, Zhuo Chen, Jingnan Gao, Yichao Yan, Xiaokang Yang

Shared Autonomy with IDA: Interventional Diffusion Assistance

Brandon J. McMahan, Zhenghao Peng, Bolei Zhou, Jonathan C. Kao

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

Easton Huch, Jieru Shi, Madeline R. Abbott, Jessica R. Golbus, Alexander Moreno

Query-Based Adversarial Prompt Generation

Jonathan Hayase, Ema Borevkovic, Nicholas Carlini, Florian Tramer, Milad Nasr

CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

Jianrong Ding, Zhanyu Liu, Guanjie Zheng, Haiming Jin, Linghe Kong

Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters

Ya-Wei Eileen Lin, Ronen Talmon, Ron Levie

Where's Waldo: Diffusion Features For Personalized Segmentation and Retrieval

Dvir Samuel, Rami Ben-Ari, Matan Levy, Nir Darshan, Gal Chechik

Event-3DGS: Event-based 3D Reconstruction Using 3D Gaussian Splatting

Haiqian Han, Jianing Li, Henglu Wei, Xiangyang Ji

Frieren: Efficient Video-to-Audio Generation Network with Rectified Flow Matching

Yongqi Wang, Wenxiang Guo, Rongjie Huang, Jiawei Huang, Zehan Wang

A Theoretical Perspective for Speculative Decoding Algorithm

Ming Yin, Minshuo Chen, Kaixuan Huang, Mengdi Wang

UV-free Texture Generation with Denoising and Geodesic Heat Diffusion

Simone Foti, Stefanos Zafeiriou, Tolga Birdal

Analysis of Corrected Graph Convolutions

Robert Wang, Aseem Baranwal, Kimon Fontoulakis

Continuous Temporal Domain Generalization

Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao

HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning

Lu Bai, Zhuo Xu, Lixin Cui, Ming Li, Yue Wang

Parseval Regularization for Continual Reinforcement Learning

Wesley Chung, Lynn Cherif, David Meger, Doina Precup

Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference

Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu

MoMu-Diffusion: On Learning Long-Term Motion-Music Synchronization and Correspondence

Fuming You, Minghui Fang, Li Tang, Rongjie Huang, Yongqi Wang

Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration

Mahdi Morafah, Vyacheslav Kungurtsev, Hojin Chang, Chen Chen, Bill Lin

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures

Subash Timilsina, Sagar Shrestha, Xiao Fu

3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction

Jongmin Lee, Minsu Cho

Depth Anywhere: Enhancing 360 Monocular Depth Estimation via Perspective Distillation and Unlabeled Data Augmentation

Ning-Hsu Wang, Yu-Lun Liu

Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks

Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang

RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation

Anton Antonov, Andrey Moskalenko, Denis Shepelev, Alexander Krapukhin, Konstantin Soshin

Smoothie: Label Free Language Model Routing

Neel Guha, Mayee F. Chen, Trevor Chow, Ishan S. Khare, Christopher Re

Probablistic Emulation of a Global Climate Model with Spherical DYffusion

Salva Rühling Cachay, Brian Henn, Oliver Watt-Meyer, Christopher S. Bretherton, Rose Yu

Sample Selection via Contrastive Fragmentation for Noisy Label Regression

Chris Dongjoo Kim, Sangwoo Moon, Jihwan Moon, Dongyeon Woo, Gunhee Kim

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms

Oryan Yehezkel, Alon Zolfi, Amit Baras, Yuval Elovici, Asaf Shabtai

Bridging Model-Based Optimization and Generative Modeling via Conservative Fine-Tuning of Diffusion Models

Masatoshi Uehara, Yulai Zhao, Ehsan Hajiramezanali, Gabriele Scalia, Gökcen Eraslan

Understanding the Role of Equivariance in Self-supervised Learning

Yifei Wang, Kaiwen Hu, Sharut Gupta, Ziyu Ye, Yisen Wang

Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions

Tian Xie, Xueru Zhang

Contextual Bilevel Reinforcement Learning for Incentive Alignment

Vinzenz Thoma, Barna Pásztor, Andreas Krause, Giorgia Ramponi, Yifan Hu

NeuralSteiner: Learning Steiner Tree for Overflow-avoiding Global Routing in Chip Design

Ruizhi Liu, Zhisheng Zeng, Shizhe Ding, Jingyan Sui, Xingquan Li

Do Finetti: On Causal Effects for Exchangeable Data

Siyuan Guo, Chi Zhang, Karthika Mohan, Ferenc Huszar, Bernhard Schölkopf

AverNet: All-in-one Video Restoration for Time-varying Unknown Degradations

Haiyu Zhao, Lei Tian, Xinyan Xiao, Peng Hu, Yuanbiao Gou

Learning Group Actions on Latent Representations

Yinzhu Jin, Aman Shrivastava, P. Thomas Fletcher

Theoretical Foundations of Deep Selective State-Space Models

Nicola Muca Cirone, Antonio Orvieto, Benjamin Walker, Cristopher Salvi, Terry Lyons

FewViewGS: Gaussian Splatting with Few View Matching and Multi-stage Training

Ruihong Yin, Vladimir Yugay, Yue Li, Sezer Karaoglu, Theo Gevers

Demystify Mamba in Vision: A Linear Attention Perspective

Dongchen Han, Ziyi Wang, Zhuofan Xia, Yizeng Han, Yifan Pu

Protein-Nucleic Acid Complex Modeling with Frame Averaging Transformer

Tinglin Huang, Zhenqiao Song, Rex Ying, Wengong Jin

STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao

DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain

Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou

PUZZLES: A Benchmark for Neural Algorithmic Reasoning

Benjamin Estermann, Luca A. Lanzendörfer, Yannick Niedermayr, Roger Wattenhofer

State Space Models on Temporal Graphs: A First-Principles Study

Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen

4-bit Shampoo for Memory-Efficient Network Training

Sike Wang, Pan Zhou, Jia Li, Hua Huang

RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification

Lei, Tan, Yukang Zhang, Keke Han, Pingyang Dai

General bounds on the quality of Bayesian coresets

Trevor Campbell

Consistency Models for Scalable and Fast Simulation-Based Inference

Marvin Schmitt, Valentin Pratz, Ullrich Köthe, Paul-Christian Bürkner, Stefan T. Radev

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation

Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen

MEQA: A Benchmark for Multi-hop Event-centric Question Answering with Explanations

Ruosen Li, Zimu Wang, Son Quoc Tran, Lei Xia, Xinya Du

Entrywise error bounds for low-rank approximations of kernel matrices

Alexander Modell

Towards Principled Graph Transformers

Luis Müller, Daniel Kusuma, Blai Bonet, Christopher Morris

IPO: Interpretable Prompt Optimization for Vision-Language Models

Yingjun Du, Wenfang Sun, Cees G. M. Snoek

Hierarchical Programmatic Option Framework

Chen-Tao Lee, Chih-Han Yang, Guan-Ting Liu, Shao-Hua Sun, Yuan Lin

GeoPlant: Spatial Plant Species Prediction Dataset

Lukas Picek, Christophe Botella, Maximilien Servajean, César Leblanc, Rémi Palard

KALM: Knowledgeable Agents by Offline Reinforcement Learning from Large Language Model Rollouts

Si-Hang Yang, Kaiyuan Li, Xiong-Hui Chen, Nan Tang, Yang Yu

Coherence-free Entrywise Estimation of Eigenvectors in Low-rank Signal-plus-noise Matrix Models

Hao Yan, Keith Levin

Gorilla: Large Language Model Connected with Massive APIs

Shishir G. Patil, Tianjun Zhang, Xin Wang, Joseph E Gonzalez, Joseph E. Gonzalez

Self-playing Adversarial Language Game Enhances LLM Reasoning

Pengyu Cheng, Yong Dai, Tianhao Hu, Han Xu, Zhisong Zhang

INQUIRE: A Natural World Text-to-Image Retrieval Benchmark

Edward Vendrow, Omiros Pantazis, Alexander Shepard, Gabriel Brostow, Kate E. Jones

Quantifying the Gain in Weak-to-Strong Generalization

Moses Charikar, Chirag Pabbaraju, Kirankumar Shiragur

Toward Dynamic Non-Line-of-Sight Imaging with Mamba Enforced Temporal Consistency

Yue Li, Yi Sun, Shida Sun, Juntian Ye, Yueyi Zhang

The Prevalence of Neural Collapse in Neural Multivariate Regression

George Andriopoulos, Zixuan Dong, Li Guo, Zifan Zhao, Keith Ross

Last-Iterate Global Convergence of Policy Gradients for Constrained Reinforcement Learning

Alessandro Montenegro, Marco Mussi, Matteo Papini, Alberto Maria Metelli

HuRef: HUman-REadable Fingerprint for Large Language Models

Boyi Zeng, Lizheng Wang, Yuncong Hu, Yi Xu, Chenghu Zhou

Adapting to Unknown Low-Dimensional Structures in Score-Based Diffusion Models

Gen Li, Yuling Yan

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho

Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Yihao Zhang, Zeming Wei, Jun Sun, Meng Sun

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms

Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna

Slight Corruption in Pre-training Data Makes Better Diffusion Models

Hao Chen, Yujin Han, Diganta Misra, Xiang Li, Kai Hu

AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback

Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang

Improved Algorithms for Contextual Dynamic Pricing

Matilde Tullii, Solenne Gaucher, Nadav Merlis, Vianney Perchet

Bandits with Abstention under Expert Advice

Stephen Pasteris, Alberto Rumi, Maximilian Thiessen, Shota Saito, Atsushi Miyauchi

SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures

Pei Zhou, Jay Pujara, Xiang Ren, Xinyun Chen, Heng-Tze Cheng

Instruction-Guided Visual Masking

Jinliang Zheng, Jianxiong Li, Sijie Cheng, Yinan Zheng, Jiaming Li

Who's asking? User personas and the mechanics of latent misalignment

Asma Ghandeharioun, Ann Yuan, Marius Guerard, Emily Reif, Michael A. Lepori

Fair Allocation in Dynamic Mechanism Design

Alireza Fallah, Michael I. Jordan, Annie Ulichney

Skinned Motion Retargeting with Dense Geometric Interaction Perception

Zijie Ye, Jia-Wei Liu, Jia Jia, Shikun Sun, Mike Zheng Shou

Animate3D: Animating Any 3D Model with Multi-view Video Diffusion

Yanqin Jiang, Chaohui Yu, Chenjie Cao, Fan Wang, Weiming Hu

Convergence of log(1/ε) for Gradient-Based Algorithms in Zero-Sum Games without the Condition Number: A Smoothed Analysis

Ioannis Anagnostides, Tuomas Sandholm

Learning rigid-body simulators over implicit shapes for large-scale scenes and vision

Yulia Rubanova, Tatiana Lopez-Guevara, Kelsey R. Allen, William F. Whitney, Kimberly Stachenfeld

Unraveling Molecular Structure: A Multimodal Spectroscopic Dataset for Chemistry

Marvin Alberts, Oliver Schilter, Federico Zipoli, Nina Hartrampf, Teodoro Laino

Universality in Transfer Learning for Linear Models

Reza Ghane, Danil Akhtiamov, Babak Hassibi