NeurIPS 2024

4,493 papers

SpeechAlign: Aligning Speech Generation to Human Preferences

Dong Zhang, Zhaowei Li, Shimin Li, Xin Zhang, Pengyu Wang

EMGBench: Benchmarking Out-of-Distribution Generalization and Adaptation for Electromyography

Jehan Yang, Maxwell Soh, Vivianna Lieu, Douglas J Weber, Zackory Erickson

GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning

Guibin Zhang, Haonan Dong, Yuchen Zhang, Zhixun Li, Dingshuo Chen

Towards Multi-Domain Learning for Generalizable Video Anomaly Detection

MyeongAh Cho, Taeoh Kim, Minho Shim, Dongyoon Wee, Sangyoun Lee

TFGDA: Exploring Topology and Feature Alignment in Semi-supervised Graph Domain Adaptation through Robust Clustering

Jun Dan, Weiming Liu, Chunfeng Xie, Hua Yu, Shunjie Dong

Interpolating Item and User Fairness in Multi-Sided Recommendations

Qinyi Chen, Jason Cheuk Nam Liang, Negin Golrezaei, Djallel Bouneffouf

Matryoshka Query Transformer for Large Vision-Language Models

Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng

WebUOT-1M: Advancing Deep Underwater Object Tracking with A Million-Scale Benchmark

Chunhui Zhang, Li Liu, Guanjie Huang, Hao Wen, Xi Zhou

CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing

Yen-Ju Lu, Jing Liu, Thomas Thebaud, Laureano Moro-Velazquez, Ariya Rastrow

Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning

Tianyu Chen, Zhendong Wang, Mingyuan Zhou

Diffusion Models are Certifiably Robust Classifiers

Huanran Chen, Yinpeng Dong, Shitong Shao, Zhongkai Hao, Xiao Yang

Probabilistic size-and-shape functional mixed models

Fangyi Wang, Karthik Bharath, Oksana Chkrebtii, Sebastian Kurtek

Learning Successor Features the Simple Way

Raymond Chua, Arna Ghosh, Christos Kaplanis, Blake A. Richards, Doina Precup

Contextual Active Model Selection

Xuefeng Liu, Fangfang Xia, Rick L. Stevens, Yuxin Chen

Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon Tasks

Zaijing Li, Yuquan Xie, Rui Shao, Gongwei Chen, Dongmei Jiang

DarkSAM: Fooling Segment Anything Model to Segment Nothing

Ziqi Zhou, Yufei Song, Minghui Li, Shengshan Hu, Xianlong Wang

LLMs Can Evolve Continually on Modality for X-Modal Reasoning

Jiazuo Yu, Haomiao Xiong, Lu Zhang, Haiwen Diao, Yunzhi Zhuge

Rethinking Decoders for Transformer-based Semantic Segmentation: A Compression Perspective

Qishuai Wen, Chun-Guang Li

GS-Hider: Hiding Messages into 3D Gaussian Splatting

Xuanyu Zhang, Jiarui Meng, Runyi Li, Zhipei Xu, yongbing zhang

Newswire: A Large-Scale Structured Database of a Century of Historical News

Emily Silcock, Abhishek Arora, Luca D'Amico-Wong, Melissa Dell

OAM-TCD: A globally diverse dataset of high-resolution tree cover maps

Josh Veitch-Michaelis, Andrew Cottam, Daniella Schweizer, Eben N. Broadbent, David Dao

The Art of Saying No: Contextual Noncompliance in Language Models

Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin

Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor

Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu

Efficient Centroid-Linkage Clustering

Mohammadhossein Bateni, Laxman Dhulipala, Willem Fletcher, Kishen N. Gowda, D Ellis Hershkowitz

Discovering Creative Behaviors through DUPLEX: Diverse Universal Features for Policy Exploration

Borja G. Leon, Francesco Riccio, Kaushik Subramanian, Peter R. Wurman, Peter Stone

Monte Carlo Tree Search based Space Transfer for Black Box Optimization

Shukuan Wang, Ke Xue, Lei Song, Xiaobin Huang, Chao Qian

Achieving Domain-Independent Certified Robustness via Knowledge Continuity

Alan Sun, Chiyu Ma, Kenneth Ge, Soroush Vosoughi

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization

Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin

Gradients of Functions of Large Matrices

Nicholas Krämer, Pablo Moreno-Muñoz, Hrittik Roy, Søren Hauberg

SyncVIS: Synchronized Video Instance Segmentation

Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang

Equivariant Neural Diffusion for Molecule Generation

François Cornet, Grigory Bartosh, Christian A. Naesseth, Mikkel N Schmidt, Mikkel N. Schmidt

RoleAgent: Building, Interacting, and Benchmarking High-quality Role-Playing Agents from Scripts

Jiaheng Liu, Zehao Ni, Haoran Que, Tao Sun, Zekun Wang

Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung

MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models

Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao

FlexPlanner: Flexible 3D Floorplanning via Deep Reinforcement Learning in Hybrid Action Space with Multi-Modality Representation

Ruizhe Zhong, Xingbo Du, Shixiong Kai, Zhentao Tang, Siyuan Xu

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level

Runlin Lei, Yuwei Hu, Yuchen Ren, Zhewei Wei

Active Learning of General Halfspaces: Label Queries vs Membership Queries

Ilias Diakonikolas, Daniel M. Kane, Mingchen Ma

Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features

Chengkai Hou, Zhengrong Xue, Bingyang Zhou, Jinghan Ke, Lin Shao

Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework

Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li

On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability

Chenyu Zheng, Wei Huang, Rongzhen Wang, Guoqiang Wu, Jun Zhu

Spatio-Spectral Graph Neural Networks

Simon Geisler, Arthur Kosmala, Daniel Herbst, Stephan Günnemann

Learning Macroscopic Dynamics from Partial Microscopic Observations

Mengyi Chen, Qianxiao Li

FedGMark: Certifiably Robust Watermarking for Federated Graph Learning

Yuxin Yang, Qiang Li, Yuan Hong, Binghui Wang

MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions

Xuan Ju, Yiming Gao, Zhaoyang Zhang, Ziyang Yuan, Xintao Wang

SS1: Accelerating Inference with Fast and Expressive Sketch Structured Transform

Kimia Saedi, Aditya Desai, Apoorv Walia, Jihyeong Lee, Keren Zhou

Decoding-Time Language Model Alignment with Multiple Objectives

Ruizhe Shi, Yifang Chen, Yushi Hu, Alisa Liu, Hannaneh Hajishirzi

SimGen: Simulator-conditioned Driving Scene Generation

Yunsong Zhou, Michael Simon, Zhenghao Peng, Sicheng Mo, Hongzi Zhu

CountGD: Multi-Modal Open-World Counting

Niki Amini-Naieni, Tengda Han, Andrew Zisserman

Linear Transformers are Versatile In-Context Learners

Max Vladymyrov, Johannes von Oswald, Mark Sandler, Rong Ge

Block Transformer: Global-to-Local Language Modeling for Fast Inference

Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim

On the cohesion and separability of average-link for hierarchical agglomerative clustering

Eduardo S. Laber, Miguel Batista

Nuclear Fusion Diamond Polishing Dataset

Antonios Alexos, Junze Liu, Shashank Galla, Sean Hayes, Kshitij Bhardwaj

Error Analysis of Spherically Constrained Least Squares Reformulation in Solving the Stackelberg Prediction Game

Xiyuan Li, Weiwei Liu

Monomial Matrix Group Equivariant Neural Functional Networks

Viet-Hoang Tran, Thieu N. Vo, Tho Tran-Huu, An T. Nguyen, Tan M. Nguyen

Divide-and-Conquer Predictive Coding: a structured Bayesian inference algorithm

Eli Sennesh, Hao Wu, Tommaso Salvatori

ReplaceAnything3D: Text-Guided Object Replacement in 3D Scenes with Compositional Scene Representations

Edward Bartrum, Thu Nguyen-Phuoc, Chris Xie, Zhengqin Li, Numair Khan

Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li

Model Based Inference of Synaptic Plasticity Rules

Yash Mehta, Danil Tyulmankov, Adithya E. Rajagopalan, Glenn C. Turner, James E. Fitzgerald

Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate

Fan-Ming Luo, Zuolin Tu, Zefang Huang, Yang Yu

Measuring Per-Unit Interpretability at Scale Without Humans

Roland S. Zimmermann, David Klindt, Wieland Brendel

Decoupling Semantic Similarity from Spatial Alignment for Neural Networks.

Tassilo Wald, Constantin Ulrich, Gregor Köhler, David Zimmerer, Stefan Denner

SARAD: Spatial Association-Aware Anomaly Detection and Diagnosis for Multivariate Time Series

Zhihao Dai, Ligang He, Shuang-Hua Yang, Matthew Leeke

Learning Better Representations From Less Data For Propositional Satisfiability

Mohamed Ghanem, Frederik Schmitt, Julian Siber, Bernd Finkbeiner

Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression

Kai Tan, Pierre C Bellec, Pierre C. Bellec

STONE: A Submodular Optimization Framework for Active 3D Object Detection

Ruiyu Mao, Sarthak Kumar Maharana, Rishabh K Iyer, Yunhui Guo

Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments

Feng Xie, Zhen Yao, Lin Xie, Yan Zeng, Zhi Geng

WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences

Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi

HLM-Cite: Hybrid Language Model Workflow for Text-based Scientific Citation Prediction

Qianyue Hao, Jingyang Fan, Fengli Xu, Jian Yuan, Yong Li

Graph Neural Networks Do Not Always Oversmooth

Bastian Epping, Alexandre René, Moritz Helias, Michael T Schaub, Michael T. Schaub

Online Control with Adversarial Disturbance for Continuous-time Linear Systems

Jingwei Li, Jing Dong, Can Chang, Baoxiang Wang, Jingzhao Zhang

Taming Heavy-Tailed Losses in Adversarial Bandits and the Best-of-Both-Worlds Setting

Duo Cheng, Xingyu Zhou, Bo Ji

ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons

Jiawen Zhang, Xumeng Wen, Zhenwei Zhang, Shun Zheng, Jia Li

WATT: Weight Average Test Time Adaptation of CLIP

David Osowiechi, Mehrdad Noori, Gustavo A. Vargas Hakim, Moslem Yazdanpanah, Ali Bahri

Multi-view Masked Contrastive Representation Learning for Endoscopic Video Analysis

Kai Hu, Ye Xiao, yuan zhang, Xieping Gao

Enhancing Consistency-Based Image Generation via Adversarialy-Trained Classification and Energy-Based Discrimination

Shelly Golan, Roy Ganz, Michael Elad

Sample-efficient Bayesian Optimisation Using Known Invariances

Theodore Brown, Alexandru Cioba, Ilija Bogunovic

Does Video-Text Pretraining Help Open-Vocabulary Online Action Detection?

Qingsong Zhao, Yi Wang, Jilan Xu, Yinan He, Zifan Song

Counterfactual Fairness by Combining Factual and Counterfactual Predictions

Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu

Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors

Jiashi Gao, Ziwei Wang, Xiangyu Zhao, Xin Yao, Xuetao Wei

Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning

Harley Wiltzer, Marc G. Bellemare, David Meger, Patrick Shafto, Yash Jhaveri

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hofmann, Tomasz Limisiewicz

Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation

Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang

Do's and Don'ts: Learning Desirable Skills with Instruction Videos

HYUNSEUNG KIM, Hojoon Lee, Dongyoon Hwang, Donghu Kim, Jaegul Choo

Stepping on the Edge: Curvature Aware Learning Rate Tuners

Vincent Roulet, Atish Agarwala, Jean-Bastien Grill, Grzegorz Swirszcz, Mathieu Blondel

Task Confusion and Catastrophic Forgetting in Class-Incremental Learning: A Mathematical Framework for Discriminative and Generative Modelings

Milad Khademi Nori, II-Min Kim

Unleashing the Denoising Capability of Diffusion Prior for Solving Inverse Problems

Jiawei Zhang, Jiaxin Zhuang, Cheng Jin, Gen Li, Yuantao Gu

Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts

Andong Wang, Yuning Qiu, Mingyuan Bai, Zhong Jin, Guoxu Zhou

Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks

Liang Qin, Xiyuan Liu, Wenting Wei, Chengbin Liang, Huaxi Gu

Expert-level protocol translation for self-driving labs

Yu-Zhe Shi, Fanxu Meng, Haofei Hou, Zhangqian Bi, Qiao Xu

Improved Distribution Matching Distillation for Fast Image Synthesis

Tianwei Yin, MICHAEL GHARBI, Taesung Park, Richard Zhang, Eli Shechtman

CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang

Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad

Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou, Samuel Horváth, Martin Takac

Referencing Where to Focus: Improving Visual Grounding with Referential Query

Yabing Wang, Zhuotao Tian, Qingpei Guo, Zheng Qin, Sanping Zhou

ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination

Xihuai Wang, Shao Zhang, Wenhao Zhang, Wentao Dong, Jingxiao Chen

SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers

Parsa Esmati, Amirhossein Dadashzadeh, Vahid Goodarzi Ardakani, Nicolas Larrosa, Nicolò Grilli

Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation

Abhinav Jain, Swarat Chaudhuri, Thomas Reps, Chris Jermaine

DisCEdit: Model Editing by Identifying Discriminative Components

Chaitanya Murti, Chiranjib Bhattacharyya

3DET-Mamba: Causal Sequence Modelling for End-to-End 3D Object Detection

Mingsheng Li, Jiakang Yuan, Sijin Chen, Lin Zhang, Anyu Zhu

Reinforced Cross-Domain Knowledge Distillation on Time Series Data

Qing Xu, Min Wu, Xiaoli Li, Kezhi Mao, Zhenghua Chen

Controlling Continuous Relaxation for Combinatorial Optimization

Yuma Ichikawa