NeurIPS 2024

4,493 papers

Factorized Diffusion Architectures for Unsupervised Image Generation and Segmentation

Xin Yuan, Michael Maire

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision

Jay Shah, Ganesh Bikshandi, Ying Zhang, Vijay Thakkar, Pradeep Ramani

Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding

Chenhao Zhou, Zebang Shen, Chao Zhang, Hanbin Zhao, Hui Qian

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis

Liang Han, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han

Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?

Richard Ren, Steven Basart, Adam Khoja, Alexander Pan, Alice Gatti

Few-Shot Diffusion Models Escape the Curse of Dimensionality

Ruofeng Yang, Bo Jiang, Cheng Chen, ruinan Jin, Baoxiang Wang

Revisiting Ensembling in One-Shot Federated Learning

Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-marie Kermarrec

GraphMorph: Tubular Structure Extraction by Morphing Predicted Graphs

Zhao Zhang, Ziwei Zhao, Dong Wang, Liwei Wang

HDR-GS: Efficient High Dynamic Range Novel View Synthesis at 1000x Speed via Gaussian Splatting

Yuanhao Cai, Zihao Xiao, Yixun Liang, Minghan Qin, Yulun Zhang

What Is Missing For Graph Homophily? Disentangling Graph Homophily For Graph Neural Networks

Yilun Zheng, Sitao Luan, Lihui Chen

Sample-Efficient Constrained Reinforcement Learning with General Parameterization

Washim Uddin Mondal, Vaneet Aggarwal

When is an Embedding Model More Promising than Another?

Maxime DARRIN, Philippe FORMONT, Ismail Ben Ayed, Jackie Chi Kit CHEUNG, Pablo Piantanida

Policy Aggregation

Parand A. Alamdari, Soroush Ebadian, Ariel D Procaccia, Ariel D. Procaccia

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

Yefei He, Luoming Zhang, Weijia Wu, Jing Liu, Hong Zhou

Inversion-based Latent Bayesian Optimization

Jaewon Chu, Jinyoung Park, Seunghun Lee, Hyunwoo J Kim, Hyunwoo J. Kim

John Ellipsoids via Lazy Updates

David P. Woodruff, Taisuke Yasuda

Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu

Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective

yibo miao, Yinpeng Dong, Jinlai Zhang, Lijia Yu, Xiao Yang

IndicVoices-R: Unlocking a Massive Multilingual Multi-speaker Speech Corpus for Scaling Indian TTS

Ashwin Sankar, Srija Anand, Praveen Srinivasa Varadhan, Sherry Thomas, Mehak Singal

Optimal Classification under Performative Distribution Shift

Edwige Cyffers, Muni Sreenivas Pydi, Jamal Atif, Oliver Cappé

Smoothed Online Classification can be Harder than Batch Classification

Vinod Raman, UNIQUE SUBEDI, Ambuj Tewari

iVideoGPT: Interactive VideoGPTs are Scalable World Models

Jialong Wu, Shaofeng Yin, Ningya Feng, Xu He, Dong Li

Optimization Algorithm Design via Electric Circuits

Stephen P. Boyd, Tetiana Parshakova, Ernest K. Ryu, Jaewook J. Suh

GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats

Sangeek Hyun, Jae-Pil Heo

Abductive Reasoning in Logical Credal Networks

Radu Marinescu, Junkyu Lee, Debarun Bhattacharjya, Fabio Cozman, Alexander Gray

Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments

Siddharth Nayak, Adelmo Morrison Orozco, Marina Ten Have, Vittal Thirumalai, Jackson Zhang

SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection

Yi Zhu, Surya Koppisetti, Trang Tran, Gaurav Bharaj

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

Xing Han, Huy Nguyen, Carl Harris, nhật Hồ, Suchi Saria

NeuroPath: A Neural Pathway Transformer for Joining the Dots of Human Connectomes

Ziquan Wei, Tingting Dan, Jiaqi Ding, Guorong Wu

BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping

Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Yibin Wang, Haizhou Shi, Ligong Han, Dimitris Metaxas, Hao Wang

Do LLMs dream of elephants (when told not to)? Latent concept association and associative memory in transformers

Yibo Jiang, Goutham Rajendran, Pradeep Ravikumar, Bryon Aragam

Beware of Road Markings: A New Adversarial Patch Attack to Monocular Depth Estimation

Hangcheng Liu, Zhenhu Wu, Hao Wang, Xingshuo Han, Shangwei Guo

Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning

David Yunis, Justin Jung, Falcon Z. Dai, Matthew R. Walter

ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models

Julien Pourcel, Cédric Colas, Gaia Molinaro, Pierre-yves Oudeyer, Laetitia Teodorescu

Zero-Shot Transfer of Neural ODEs

Tyler Ingebrand, Adam J. Thorpe, Ufuk Topcu

Architect: Generating Vivid and Interactive 3D Scenes with Hierarchical 2D Inpainting

Yian Wang, Xiaowen Qiu, Jiageng Liu, Zhehuan Chen, Jiting Cai

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation

Krishna Prasad Neupane, Ervine Zheng, Qi Yu

PACE: Pacing Operator Learning to Accurate Optical Field Simulation for Complicated Photonic Devices

Hanqing Zhu, Wenyan Cong, Guojin Chen, Shupeng Ning, Ray T. Chen

GraphVis: Boosting LLMs with Visual Knowledge Graph Integration

Yihe Deng, Chenchen Ye, Zijie Huang, Mingyu Derek Ma, Yiwen Kou

Partial observation can induce mechanistic mismatches in data-constrained models of neural dynamics

William Qian, Jacob A. Zavatone-Veth, Benjamin S. Ruben, Cengiz Pehlevan

Lianyu Hu, Tongkai Shi, Wei Feng, Fanhua Shang, Liang Wan

SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation

Sangwoo Hwang, Seunghyun Lee, Dahoon Park, Donghun Lee, Jaeha Kung

Learning a Single Neuron Robustly to Distributional Shifts and Adversarial Label Noise

Shuyao Li, Sushrut Karmalkar, Ilias Diakonikolas, Jelena Diakonikolas

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning

Jiacheng Zhang, Jie Wu, Yuxi Ren, Xin Xia, Huafeng Kuang

Knowledge Composition using Task Vectors with Learned Anisotropic Scaling

Frederic Z. Zhang, Paul Albert, Cristian Rodriguez-Opazo, Anton van den Hengel, Ehsan Abbasnejad

HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems

Hao Xu, Jia Pan

Muscles in Time: Learning to Understand Human Motion In-Depth by Simulating Muscle Activations

David Schneider, Simon Reiß, Marco Kugler, Alexander Jaus, Kunyu Peng

OptEx: Expediting First-Order Optimization with Approximately Parallelized Iterations

YAO SHU, Jiongfeng Fang, Ying Tiffany He, Fei Richard Yu

UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis

Yulong Hui, Yao Lu, Huanchen Zhang

Knowledge-Empowered Dynamic Graph Network for Irregularly Sampled Medical Time Series

Yicheng Luo, Zhen Liu, Linghao Wang, Junhao Zheng, Binquan Wu

TrackIME: Enhanced Video Point Tracking via Instance Motion Estimation

Seong Hyeon Park, Huiwon Jang, Byungwoo Jeon, Sukmin Yun, Paul Hongsuck Seo

Navigating the Maze of Explainable AI: A Systematic Approach to Evaluating Methods and Metrics

Lukas Klein, Carsten Lüth, Udo Schlegel, Till Bungert, Mennatallah El-Assady

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following

Minjong Yoo, Jinwoo Jang, Wei-jin Park, Honguk Woo

Truthful High Dimensional Sparse Linear Regression

Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu

Learning Distributions on Manifolds with Free-Form Flows

Peter Sorrenson, Felix Draxler, Armand Rousselot, Sander Hummerich, Ullrich Köthe

CriticEval: Evaluating Large-scale Language Model as Critic

Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin

Back to the Continuous Attractor

Ábel Ságodi, Guillermo Martín-Sánchez, Piotr Sokół, Il Memming Park

Interpretable Concept Bottlenecks to Align Reinforcement Learning Agents

Quentin Delfosse, Sebastian Sztwiertnia, Mark Rothermel, Wolfgang Stammer, Kristian Kersting

FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models

Wanyi Ning, Jingyu Wang, Qi Qi, Mengde Zhu, Haifeng Sun

Cross-modal Representation Flattening for Multi-modal Domain Generalization

Yunfeng Fan, Wenchao Xu, Haohao Wang, Song Guo

Smoothed Energy Guidance: Guiding Diffusion Models with Reduced Energy Curvature of Attention

Susung Hong

The Impact of Geometric Complexity on Neural Collapse in Transfer Learning

Michael Munn, Benoit Dherin, Javier Gonzalvo

Parsimony or Capability? Decomposition Delivers Both in Long-term Time Series Forecasting

Jinliang Deng, Feiyang YE, Du Yin, Xuan Song, Ivor Tsang

Training Data Attribution via Approximate Unrolling

Juhan Bae, Wu Lin, Jonathan Lorraine, Roger Grosse

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis

Agniv Bandyopadhyay, Sandeep Juneja, Shubhada Agrawal

Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers

Siyu Chen, Heejune Sheen, Tianhao Wang, Zhuoran Yang

MaskFactory: Towards High-quality Synthetic Data Generation for Dichotomous Image Segmentation

Haotian Qian, YD Chen, Shengtao Lou, Fahad Shahbaz Khan, Xiaogang Jin

Federated Model Heterogeneous Matryoshka Representation Learning

Liping Yi, Han Yu, Chao Ren, Gang Wang, Xiaoguang Liu

Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover

Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, zhipeng cai, Tat-jun Chin

Chain-of-Thought Reasoning Without Prompting

Xuezhi Wang, Denny Zhou

OneBit: Towards Extremely Low-bit Large Language Models

Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu

Terra: A Multimodal Spatio-Temporal Dataset Spanning the Earth

Wei Chen, Xixuan Hao, Yuankai Wu, Yuxuan Liang

RouterDC: Query-Based Router by Dual Contrastive Learning for Assembling Large Language Models

Shuhao Chen, Weisen Jiang, Baijiong Lin, James T. Kwok, Yu Zhang

cPAPERS: A Dataset of Situated and Multimodal Interactive Conversations in Scientific Papers

Anirudh Sundar, Jin Xu, William Gay, Christopher Richardson, Larry Heck

A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation

Jer Pelhan, Alan Lukežič, Vitjan Zavrtanik, Matej Kristan

Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem

Mincheol Chang, Siyeong Lee, Namil Kim, Jin Kyu Kim, Jinkyu Kim

Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees

Sean Jaffe, Alexander Davydov, Deniz Lapsekili, Francesco Bullo, Ambuj K Singh

Latent Functional Maps: a spectral framework for representation alignment

Marco Fumero, Marco Pegoraro, Valentino Maiorca, Francesco Locatello, Emanuele Rodolà

EGonc : Energy-based Open-Set Node Classification with substitute Unknowns

Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu

Provably and Practically Efficient Adversarial Imitation Learning with General Function Approximation

Tian Xu, Zhilong Zhang, Ruishuo Chen, Yihao Sun, Yang Yu

Model Decides How to Tokenize: Adaptive DNA Sequence Tokenization with MxDNA

Lifeng Qiao, Peng Ye, Yuchen Ren, Weiqiang Bai, Chaoqi Liang

Language Generation in the Limit

Jon Kleinberg, Sendhil Mullainathan

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models

Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong

The Poisson Midpoint Method for Langevin Dynamics: Provably Efficient Discretization for Diffusion Models

Saravanan Kandasamy, Dheeraj Nagaraj

Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime

Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang

Adaptive Exploration for Data-Efficient General Value Function Evaluations

Arushi Jain, Josiah P. Hanna, Doina Precup

Zipper: Addressing Degeneracy in Algorithm-Agnostic Inference

Geng Chen, Yinxu Jia, Guanghui Wang, Changliang Zou

Breaking the curse of dimensionality in structured density estimation

Wai Ming Tai, Bryon Aragam, Robert A Vandermeulen, Robert A. Vandermeulen

On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks

Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Yuanqi Du, Michael Plainer, Rob Brekelmans, Chenru Duan, Frank Noe

Amortized Planning with Large-Scale Transformers: A Case Study on Chess

Anian Ruoss, Grégoire Delétang, Sourabh Medapati, Jordi Grau-moya, Li Kevin Wenliang

Nonparametric Classification on Low Dimensional Manifolds using Overparameterized Convolutional Residual Networks

Zixuan Zhang, Kaiqi Zhang, Minshuo Chen, Yuma Takeda, Mengdi Wang

Unleashing Multispectral Video's Potential in Semantic Segmentation: A Semi-supervised Viewpoint and New UAV-View Benchmark

Wei Ji, Jingjing Li, Wenbo Li, Yilin Shen, Li Cheng

Generalized Fast Exact Conformalization

Diyang Li

Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image Generation

Jiajun Wang, Morteza Ghahremani, Yitong Li, Bjorn Ommer, Christian Wachinger

NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics

Junyi Cao, Shanyan Guan, Yanhao Ge, Wei Li, Xiaokang Yang

VidProM: A Million-scale Real Prompt-Gallery Dataset for Text-to-Video Diffusion Models

Wenhao Wang, Yi Yang

Neural Collapse To Multiple Centers For Imbalanced Data

Hongren Yan, Yuhua Qian, Furong Peng, Jiachen Luo, Zheqing Zhu