NeurIPS 2024

4,493 papers

CoSy: Evaluating Textual Explanations of Neurons

Laura Kopf, Philine Lou Bommer, Anna Hedström, Sebastian Lapuschkin, Marina M.-C. Höhne

SpeedLoader: An I/O efficient scheme for heterogeneous and distributed LLM operation

Yiqi Zhang, Yang You

Kronecker-Factored Approximate Curvature for Physics-Informed Neural Networks

Felix Dangel, Johannes Müller, Marius Zeinhofer

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference

Zihan Tan, Guancheng Wan, Wenke Huang, Mang Ye

Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach

Mathilde Caron, Alireza Fathi, Cordelia Schmid, Ahmet Iscen

Blind Image Restoration via Fast Diffusion Inversion

Hamadi Chihaoui, Abdelhak Lemkhenter, Paolo Favaro

DOGS: Distributed-Oriented Gaussian Splatting for Large-Scale 3D Reconstruction Via Gaussian Consensus

Yu Chen, Gim Hee Lee

MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Tianlin Zhang

Bridge the Modality and Capability Gaps in Vision-Language Model Selection

Chao Yi, De-Chuan Zhan, Han-Jia Ye, Yuhang He, Yu-Hang He

Energy-based Epistemic Uncertainty for Graph Neural Networks

Dominik Fuchsgruber, Tom Wollschläger, Stephan Günnemann

Neural Pose Representation Learning for Generating and Transferring Non-Rigid Object Poses

Seungwoo Yoo, Juil Koo, Kyeongmin Yeo, Minhyuk Sung

MotionBooth: Motion-Aware Customized Text-to-Video Generation

Jianzong Wu, Xiangtai Li, Yanhong Zeng, Jiangning Zhang, Qianyu Zhou

Accelerating Blockwise Parallel Language Models with Draft Refinement

Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar

OpenDebateEvidence: A Massive-Scale Argument Mining and Summarization Dataset

Allen Roush, Yusuf Shabazz, Arvind Balaji, Peter Zhang, Stefano Mezza

Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage

Haobo Zhang, Xiyue Peng, Honghao Wei, Xin Liu

Shaping the distribution of neural responses with interneurons in a recurrent circuit model

David Lipshutz, Eero P. Simoncelli

LLM-Check: Investigating Detection of Hallucinations in Large Language Models

Gaurang Sriramanan, Siddhant Bharti, Vinu Sankar Sadasivan, Shoumik Saha, Priyatham Kattakinda

MindMerger: Efficiently Boosting LLM Reasoning in non-English Languages

Zixian Huang, Wenhao Zhu, Gong Cheng, Lei Li, Fei Yuan

Contextual Multinomial Logit Bandits with General Value Functions

Mengxiao Zhang, Haipeng Luo

Stylebreeder: Exploring and Democratizing Artistic Styles through Text-to-Image Models

Matthew Zheng, Enis Simsar, Hidir Yesiltepe, Federico Tombari, Joel Simon

BertaQA: How Much Do Language Models Know About Local Culture?

Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier Lopez de Lacalle, Mikel Artetxe

Vector Quantization Prompting for Continual Learning

Li Jiao, Qiuxia LAI, Yu Li, Qiang Xu

Spiking Graph Neural Network on Riemannian Manifolds

Li Sun, Zhenhao Huang, Qiqi Wan, Hao Peng, Philip S Yu

Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

Marc Wanner, Laura Lewis, Chiranjib Bhattacharyya, Devdatt Dubhashi, Alexandru Gheorghiu

DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control

Zichen Jeff Cui, Hengkai Pan, Aadhithya Iyer, Siddhant Haldar, Lerrel Pinto

Efficient Sign-Based Optimization: Accelerating Convergence via Variance Reduction

Wei Jiang, Sifan Yang, Wenhao Yang, Lijun Zhang

AHA: Human-Assisted Out-of-Distribution Generalization and Detection

Haoyue Bai, Jifan Zhang, Robert Nowak

Sparse maximal update parameterization: A holistic approach to sparse training dynamics

Nolan Dey, Shane Bergsma, Joel Hestness

Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems

Amber Hu, David Zoltowski, Aditya Nair, David Anderson, Lea Duncker

Rethinking Score Distillation as a Bridge Between Image Distributions

David McAllister, Songwei Ge, Jia-Bin Huang, David W. Jacobs, Aleksander Holynski

S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training

Yuezhou Hu, Jun Zhu, Jianfei Chen

Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks

Zhenghao Xu, Yuqing Wang, Tuo Zhao, Rachel Ward, Molei Tao

MG-Net: Learn to Customize QAOA with Circuit Depth Awareness

Yang Qian, Xinbiao Wang, Yuxuan Du, Yong Luo, Dacheng Tao

Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems

Aditi Jha, Diksha Gupta, Carlos D. Brody, Jonathan W Pillow, Jonathan W. Pillow

Deep Equilibrium Algorithmic Reasoning

Dobrik Georgiev, JJ Wilson, Davide Buffelli, Pietro Lió

RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance

Jiaojiao Fan, Haotian Xue, Qinsheng Zhang, Yongxin Chen

A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models

Shivvrat Arya, Tahrima Rahman, Vibhav Gogate

Learning Spatially-Aware Language and Audio Embeddings

Bhavika Devnani, Skyler Seto, Zakaria Aldeneh, Alessandro Toso, Elena Menyaylenko

Span-Based Optimal Sample Complexity for Weakly Communicating and General Average Reward MDPs

Matthew Zurek, Yudong Chen

MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models

Tessa Han, Aounon Kumar, Chirag Agarwal, Himabindu Lakkaraju

ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence

Kevin Wu, Eric Wu, James Zou

Cluster-wise Graph Transformer with Dual-granularity Kernelized Attention

Siyuan Huang, Yunchong Song, Jiayue Zhou, Zhouhan Lin

Pseudo-Private Data Guided Model Inversion Attacks

Xiong Peng, Bo Han, Feng Liu, Tongliang Liu, Mingyuan Zhou

Ada-MSHyper: Adaptive Multi-Scale Hypergraph Transformer for Time Series Forecasting

Zongjiang Shang, Ling Chen, Binqing Wu, Dongliang Cui

Neural Persistence Dynamics

Sebastian Zeng, Florian Graf, Martin Uray, Stefan Huber, Roland Kwitt

DiffNorm: Self-Supervised Normalization for Non-autoregressive Speech-to-speech Translation

Weiting Tan, Jingyu Zhang, Lingfeng Shen, Daniel Khashabi, Philipp Koehn

Bridge the Points: Graph-based Few-shot Segment Anything Semantically

Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei

Adaptive Depth Networks with Skippable Sub-Paths

Woochul Kang, Hyungseop Lee

Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models

Shuxia Lin, Miaosen Zhang, Ruiming Chen, Qiufeng Wang, Xu Yang

Learning to compute Gröbner bases

Hiroshi Kera, Yuki Ishihara, Yuta Kambe, Tristan Vaccon, Kazuhiro Yokoyama

Dense Connector for MLLMs

Huanjin Yao, Wenhao Wu, Taojiannan Yang, Yuxin Song, Mengxi Zhang

Latent Neural Operator for Solving Forward and Inverse PDE Problems

Tian Wang, Chuang Wang

Warm-starting Push-Relabel

Sami Davies, Sergei Vassilvitskii, Yuyan Wang

GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting

Xiufeng Huang, Ruiqi Li, Yiu-ming Cheung, Ka Chun Cheung, Simon See

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Generation

Guillaume Huguet, James Vuckovic, Kilian Fatras, Eric Thibodeau-Laufer, Pablo Lemos

Graph-based Uncertainty Metrics for Long-form Language Model Generations

Mingjian Jiang, Yangjun Ruan, Prasanna Sattigeri, Salim Roukos, Tatsunori Hashimoto

DiMSUM: Diffusion Mamba - A Scalable and Unified Spatial-Frequency Method for Image Generation

Hao Phung, Quan Dao, Trung Dao, Hoang Phan, Dimitris N. Metaxas

The Surprising Ineffectiveness of Pre-Trained Visual Representations for Model-Based Reinforcement Learning

Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Joschka Boedecker

Stylus: Automatic Adapter Selection for Diffusion Models

Michael Luo, Justin Wong, Brandon Trabucco, Yanping Huang, zhifeng Chen

Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses

Xiaosen Zheng, Tianyu Pang, Chao Du, Qian Liu, Jing Jiang

Geodesic Optimization for Predictive Shift Adaptation on EEG data

Apolline Mellot, Antoine Collas, Sylvain Chevallier, Alexandre Gramfort, Denis A. Engemann

A Systematic Review of NeurIPS Dataset Management Practices

Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li

Fine-grained Control of Generative Data Augmentation in IoT Sensing

Tianshi Wang, Qikai Yang, Ruijie Wang, Dachun Sun, Jinyang Li

Where does In-context Learning Happen in Large Language Models?

Suzanna Sia, David Mueller, Kevin Duh

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale

Non-convolutional graph neural networks.

Yuanqing Wang, Kyunghyun Cho

Distributional regression: CRPS-error bounds for model fitting, model selection and convex aggregation

Clément Dombry, Ahmed Zaoui

PointMamba: A Simple State Space Model for Point Cloud Analysis

dingkang liang, Xin Zhou, Wei Xu, Xingkui Zhu, Zhikang Zou

Fast Best-of-N Decoding via Speculative Rejection

Hanshi Sun, Momin Haider, Ruiqi Zhang, Huitao Yang, Jiahao Qiu

Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare

Hanwei Zhu, Haoning Wu, Yixuan Li, Zicheng Zhang, Baoliang Chen

Masked Pre-training Enables Universal Zero-shot Denoiser

Xiaoxiao Ma, Zhixiang Wei, Yi Jin, Pengyang Ling, Tianle Liu

Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence

Clémentine Chazal, Anna Korba, Francis Bach

MatrixNet: Learning over symmetry groups using learned group representations

Lucas Laird, Circe Hsu, Asilata Bapat, Robin Walters

Separation and Bias of Deep Equilibrium Models on Expressivity and Learning Dynamics

Zhoutong Wu, Yimu Zhang, Cong Fang, Zhouchen Lin

Stabilizing Linear Passive-Aggressive Online Learning with Weighted Reservoir Sampling

Skyler Wu, Fred Lu, Edward Raff, James Holt

Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation

Zhiyi Pan, Wei Gao, Shan Liu, Ge Li

Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training

Yunshu Wu, Yingtao Luo, Xianghao Kong, Evangelos E. Papalexakis, Greg Ver Steeg

Large Language Models' Expert-level Global History Knowledge Benchmark (HiST-LLM)

Jakob Hauser, Daniel Kondor, Jenny Reddish, Majid Benam, Enrico Cioni

Neural Network Reparametrization for Accelerated Optimization in Molecular Simulations

Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola

The tree autoencoder model, with application to hierarchical data visualization

Miguel Á. Carreira-Perpiñán, Kuat Gazizov

Latent Learning Progress Drives Autonomous Goal Selection in Human Reinforcement Learning

Gaia Molinaro, Cédric Colas, Pierre-yves Oudeyer, Anne G. E. Collins

Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Zhao Xu, Fan LIU, Hao Liu

Low Degree Hardness for Broadcasting on Trees

Han Huang, Elchanan Mossel

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models

Ce Zhang, Simon Stepputtis, Katia Sycara, Yaqi Xie

E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding

Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan

Replicable Uniformity Testing

Sihan Liu, Christopher Ye

ε-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise

Jialiang Wang, Xiong Zhou, Deming Zhai, Junjun Jiang, Xiangyang Ji

FiVA: Fine-grained Visual Attribute Dataset for Text-to-Image Diffusion Models

Tong Wu, Yinghao Xu, Ryan Po, Mengchen Zhang, Guandao Yang

EfficientCAPER: An End-to-End Framework for Fast and Robust Category-Level Articulated Object Pose Estimation

Xinyi Yu, Haonan Jiang, Li Zhang, Lin Yuanbo Wu, Linin Ou

Quantum Deep Equilibrium Models

Philipp Schleich, Marta Skreta, Lasse B. Kristensen, Rodrigo A. Vargas-Hernández, Alan Aspuru-Guzik

Exact Gradients for Stochastic Spiking Neural Networks Driven by Rough Signals

Christian Holberg, Cristopher Salvi

Predicting the Performance of Foundation Models via Agreement-on-the-Line

Rahul Saxena, Taeyoun Kim, Aman Mehra, Christina Baek, Zico Kolter

Wings: Learning Multimodal LLMs without Text-only Forgetting

Shiyin Lu, Yang Li, Yanqing Ma, Qing-Guo Chen, Zhao Xu

GameTraversalBenchmark: Evaluating Planning Abilities Of Large Language Models Through Traversing 2D Game Maps

Muhammad Umair Nasir, Steven James, Julian Togelius

Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu

Interpretable Mesomorphic Networks for Tabular Data

Arlind Kadra, Sebastian Pineda Arango, Josif Grabocka

Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning

Yuefei Lyu, Chaozhuo Li, Sihong Xie, Xi Zhang

High-dimensional (Group) Adversarial Training in Linear Regression

Yiling Xie, Xiaoming Huo

DARNet: Dual Attention Refinement Network with Spatiotemporal Construction for Auditory Attention Detection

Sheng Yan, Cunhang Fan, Hongyu Zhang, Xiaoke Yang, Jianhua Tao

Active learning of neural population dynamics using two-photon holographic optogenetics

Andrew Wagenmaker, Lu Mi, Marton Rozsa, Matthew S. Bull, Karel Svoboda