NeurIPS 2024

4,493 papers

DeformableTST: Transformer for Time Series Forecasting without Over-reliance on Patching

Donghao Luo, xue wang

Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach

Chaoxi Niu, Guansong Pang, Ling Chen, Bing Liu

Exploring DCN-like architecture for fast image generation with arbitrary resolution

Shuai Wang, Zexian Li, Tianhui Song, Xubin Li, Tiezheng Ge

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting

Ruiqi Li, Yiu-ming Cheung

Language Grounded Multi-agent Reinforcement Learning with Human-interpretable Communication

Huao Li, Hossein Nourkhiz Mahjoub, Behdad Chalaki, Vaishnav Tadiparthi, Kwonjoon Lee

What matters when building vision-language models?

Hugo Laurençon, Leo Tronchon, Matthieu Cord, Victor Sanh

Posture-Informed Muscular Force Learning for Robust Hand Pressure Estimation

Kyungjin Seo, Junghoon Seo, Hanseok Jeong, Sangpil Kim, Sang Ho Yoon

DAGER: Exact Gradient Inversion for Large Language Models

Ivo Petrov, Dimitar I. Dimitrov, Maximilian Baader, Mark Niklas Müller, Martin Vechev

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Haokun Lin, Haobo Xu, Yichen WU, Jingzhi Cui, Yingtao Zhang

FastSurvival: Hidden Computational Blessings in Training Cox Proportional Hazards Models

Jiachang Liu, Rui Zhang, Cynthia Rudin

Instruction Embedding: Latent Representations of Instructions Towards Task Identification

Yiwei Li, Jiayi Shi, Shaoxiong Feng, Peiwen Yuan, Xinglin Wang

Learning Diffusion Priors from Observations by Expectation Maximization

François Rozet, Gérôme Andry, Francois Lanusse, Gilles Louppe

MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey

Xian Wu, Yutian Zhao, Yunyan Zhang, Jiageng Wu, Zhihong Zhu

Causal Imitation for Markov Decision Processes: a Partial Identification Approach

Kangrui Ruan, Junzhe Zhang, Xuan Di, Elias Bareinboim

MoGU: A Framework for Enhancing Safety of LLMs While Preserving Their Usability

Yanrui Du, Sendong Zhao, Danyang Zhao, Ming Ma, Yuhan Chen

Transferable Adversarial Attacks on SAM and Its Downstream Models

Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

Ge Yang, Changyi He, Jinyang Guo, Jianyu Wu, Yifu Ding

Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering

Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers

Jake Grigsby, Justin Sasek, Samyak Parajuli, Daniel Adebi, Amy Zhang

FactorSim: Generative Simulation via Factorized Representation

Fan-Yun Sun, S. I. Harini, Angela Yi, Yihan Zhou, Alex Zook

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers

Xin Lu, Yanyan Zhao, Bing Qin, Liangyu Huo, Qing Yang

Base of RoPE Bounds Context Length

Mingyu Xu, Xin Men, Bingning Wang, Qingyu Zhang, Hongyu Lin

Dual Encoder GAN Inversion for High-Fidelity 3D Head Reconstruction from Single Images

Bahri Batuhan Bilecen, Ahmet Berke Gokmen, Aysegul Dundar

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu

Upping the Game: How 2D U-Net Skip Connections Flip 3D Segmentation

Xingru Huang, Yihao Guo, Jian Huang, Tianyun Zhang, Hong He

Reprogramming Pretrained Target-Specific Diffusion Models for Dual-Target Drug Design

Xiangxin Zhou, Jiaqi Guan, Yijia Zhang, Xingang Peng, Liang Wang

Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing

Yanfang Ling, Jiyong Li, Lingbo Li, Shangsong Liang

End-to-End Ontology Learning with Large Language Models

Andy Lo, Albert Q. Jiang, Wenda Li, Mateja Jamnik

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection

Dongsu Song, Daehwa Ko, Jay Hoon Jung

You Only Look Around: Learning Illumination-Invariant Feature for Low-light Object Detection

Mingbo Hong, Shen Cheng, Haibin Huang, Haoqiang Fan, Shuaicheng Liu

Adaptive Q-Aid for Conditional Supervised Learning in Offline Reinforcement Learning

Jeonghye Kim, Suyoung Lee, Woojun Kim, Youngchul Sung

Linear Regression using Heterogeneous Data Batches

Ayush Jain, Rajat Sen, Weihao Kong, Abhimanyu Das, Alon Orlitsky

Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation

Yuwu Lu, Haoyu Huang, Xue Hu

Identifying Causal Effects Under Functional Dependencies

Yizuo Chen, Adnan Darwiche

Transcendence: Generative Models Can Outperform The Experts That Train Them

Edwin Zhang, Vincent Zhu, Naomi Saphra, Anat Kleiman, Benjamin L. Edelman

Unveiling User Satisfaction and Creator Productivity Trade-Offs in Recommendation Platforms

Fan Yao, Yiming Liao, Jingzhou Liu, Shaoliang Nie, Qifan Wang

Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

William Brandon, Mayank Mishra, Aniruddha Nrusimha, Rameswar Panda, Jonathan Ragan-Kelley

CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making

Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yi Ma

Disentangling Linear Quadratic Control with Untrusted ML Predictions

Tongxin Li, Hao Liu, Yisong Yue

UDON: Universal Dynamic Online distillatioN for generic image representations

Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Andre Araujo, Ondřej Chum

Analytically deriving Partial Information Decomposition for affine systems of stable and convolution-closed distributions

Chaitanya Goswami, Amanda Merkley

Proving Theorems Recursively

Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li, Yinya Huang

Neur2BiLO: Neural Bilevel Optimization

Justin Dumouchelle, Esther Julien, Jannis Kurtz, Elias B. Khalil

WhodunitBench: Evaluating Large Multimodal Agents via Murder Mystery Games

Junlin Xie, Ruifei Zhang, Zhihong Chen, Xiang Wan, Guanbin Li

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning

Zhishuai Liu, Pan Xu

Interventional Causal Discovery in a Mixture of DAGs

Burak Varıcı, Dmitriy A. Katz, Dennis Wei, Prasanna Sattigeri, Ali Tajer

Discovering Preference Optimization Algorithms with and for Large Language Models

Chris Lu, Samuel Holt, Claudio Fanconi, Alex J. Chan, Jakob Foerster

SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead

Minsu Kim, Walid Saad, Merouane Debbah, Choong Seon Hong

HENASY: Learning to Assemble Scene-Entities for Interpretable Egocentric Video-Language Model

Khoa Vo, Thinh Phan, Kashu Yamazaki, Minh Tran, Ngan Le

How many classifiers do we need?

Hyunsuk Kim, Liam Hodgkinson, Ryan Theisen, Michael W. Mahoney

Benchmark Data Repositories for Better Benchmarking

Rachel Longjohn, Markelle Kelly, Sameer Singh, Padhraic Smyth

Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms

Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu

Neural Model Checking

Mirco Giacobbe, Daniel Kroening, Abhinandan Pal, Michael Tautschnig

Bayesian Optimisation with Unknown Hyperparameters: Regret Bounds Logarithmically Closer to Optimal

Juliusz Ziomek, Masaki Adachi, Michael A Osborne, Michael A. Osborne

Localized Zeroth-Order Prompt Optimization

Wenyang Hu, YAO SHU, Zongmin Yu, Zhaoxuan Wu, Xiaoqiang Lin

Local to Global: Learning Dynamics and Effect of Initialization for Transformers

Ashok Vardhan Makkuva, Marco Bondaschi, Chanakya Ekbote, Adway Girish, Alliot Nagle

Cascade Speculative Drafting for Even Faster LLM Inference

Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang

Toward Conditional Distribution Calibration in Survival Prediction

Shi-ang Qi, Yakun Yu, Russell Greiner

On Feature Learning in Structured State Space Models

Leena Chennuru Vankadara, Jin Xu, Moritz Haas, Volkan Cevher

SpeechForensics: Audio-Visual Speech Representation Learning for Face Forgery Detection

Yachao Liang, Min Yu, Gang Li, Jianguo Jiang, Boquan Li

Enhancing Robustness in Deep Reinforcement Learning: A Lyapunov Exponent Approach

Rory Young, Nicolas Pugeault

StreamingDialogue: Prolonged Dialogue Learning via Long Context Compression with Minimal Losses

Quan Tu, Cunli Mao, Zhengtao Yu, Ji-Rong Wen, Rui Yan

Brain-JEPA: Brain Dynamics Foundation Model with Gradient Positioning and Spatiotemporal Masking

Zijian Dong, Ruilin Li, Yilei Wu, Thuan Tinh Nguyen, Joanna Su Xian Chong

ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty

Xindi Wu, Dingli Yu, Yangsibo Huang, Olga Russakovsky, Sanjeev Arora

Learning Infinitesimal Generators of Continuous Symmetries from Data

Gyeonghoon Ko, Hyunsu Kim, Juho Lee

Large Language Models Must Be Taught to Know What They Don’t Know

Sanyam Kapoor, Nate Gruver, Manley Roberts, Katherine Collins, Arka Pal

Multi-Winner Reconfiguration

Jiehua Chen, Christian Hatschka, Sofia Simola

In-Context Learning with Representations: Contextual Generalization of Trained Transformers

Tong Yang, Yu Huang, Yingbin Liang, Yuejie Chi

DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting

Binqian Xu, Xiangbo Shu, Haiyang Mei, Zechen Bai, Basura Fernando

Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers

Jinsong Chen, Hanpeng Liu, John E. Hopcroft, Kun He

Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning

Riccardo Poiani, Gabriele Curti, Alberto Maria Metelli, Marcello Restelli

A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs

Yan Sun, Li Shen, Dacheng Tao

IWBVT: Instance Weighting-based Bias-Variance Trade-off for Crowdsourcing

Wenjun Zhang, Liangxiao Jiang, Chaoqun Li

SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models

Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu

Exploiting the Replay Memory Before Exploring the Environment: Enhancing Reinforcement Learning Through Empirical MDP Iteration

Hongming Zhang, Chenjun Xiao, Chao Gao, Han Wang, Bo Xu

Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2)

Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma

On the Necessity of Collaboration for Online Model Selection with Decentralized Data

Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness

Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo

A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning

Yixiong Zou, Shuai Yi, Yuhua Li, Ruixuan Li

Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees

Negin Musavi, Ziyao Guo, Geir Dullerud, Yingying Li

Protected Test-Time Adaptation via Online Entropy Matching: A Betting Approach

Yarin Bar, Shalev Shaer, Yaniv Romano

Flexible mapping of abstract domains by grid cells via self-supervised extraction and projection of generalized velocity signals

Abhiram Iyer, Sarthak Chandra, Sugandha Sharma, Ila Fiete

Advancing Open-Set Domain Generalization Using Evidential Bi-Level Hardest Domain Scheduler

Kunyu Peng, Di Wen, Kailun Yang, Ao Luo, Yufan Chen

Continual Learning in the Frequency Domain

Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An

PRODuctive bandits: Importance Weighting No More

Julian Zimmert, Teodor V. Marinov

TinyLUT: Tiny Look-Up Table for Efficient Image Restoration at the Edge

Huanan Li, Juntao Guan, Rui Lai, Sijun Ma, Lin Gu

Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments

Yanping Li, Jingshen Wang, Waverly Wei

A provable control of sensitivity of neural networks through a direct parameterization of the overall bi-Lipschitzness

Yuri Kinoshita, Taro Toyoizumi

Faster Diffusion: Rethinking the Role of the Encoder for Diffusion Model Inference

Senmao Li, Taihang Hu, Joost van de Weijer, Fahad Shahbaz Khan, Tao Liu

Federated Learning over Connected Modes

Dennis Grinwald, Philipp Wiesner, Shinichi Nakajima

DreamCatcher: A Wearer-aware Multi-modal Sleep Event Dataset Based on Earables in Non-restrictive Environments

Zeyu Wang, Xiyuxing Zhang, Ruotong Yu, Yuntao Wang, Kenneth Christofferson

Boosting Alignment for Post-Unlearning Text-to-Image Generative Models

Myeongseob Ko, Henry Li, Zhun Wang, Jonathan Patsenker, Jiachen T. Wang

MagR: Weight Magnitude Reduction for Enhancing Post-Training Quantization

Aozhong Zhang, Naigang Wang, Yanxia Deng, Xin Li, Zi Yang

DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ

Jonas Belouadi, Simone Paolo Ponzetto, Steffen Eger

Images that Sound: Composing Images and Sounds on a Single Canvas

Ziyang Chen, Daniel Geng, Andrew Owens

Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?

Sonia Laguna, Ričards Marcinkevičs, Moritz Vandenhirtz, Julia E. Vogt

What does guidance do? A fine-grained analysis in a simple setting

Muthu Chidambaram, Khashayar Gatmiry, Sitan Chen, Holden Lee, Jianfeng Lu

NeuralFluid: Nueral Fluidic System Design and Control with Differentiable Simulation

Yifei Li, Yuchen Sun, Pingchuan Ma, Eftychios Sifakis, Tao Du

Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models

Shengchao Chen, Guodong Long, Jing Jiang, Chengqi Zhang

PointAD: Comprehending 3D Anomalies from Points and Pixels for Zero-shot 3D Anomaly Detection

Qihang Zhou, Jiangtao Yan, Shibo He, Wenchao Meng, Jiming Chen