NeurIPS 2024

4,493 papers

UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes

Ted Lentsch, Holger Caesar, Dariu M. Gavrila

RAGChecker: A Fine-grained Framework for Diagnosing Retrieval-Augmented Generation

Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi

Can We Leave Deepfake Data Behind in Training Deepfake Detector?

Jikang Cheng, Zhiyuan Yan, Ying Zhang, Yuhao Luo, Zhongyuan Wang

Absorb & Escape: Overcoming Single Model Limitations in Generating Heterogeneous Genomic Sequences

Zehui Li, Yuhao Ni, Guoxuan Xia, William Beardall, Akashaditya Das

Transferring disentangled representations: bridging the gap between synthetic and real images

Jacopo Dapueto, Nicoletta Noceti, Francesca Odone

Depth Anything V2

Lihe Yang, Bingyi Kang, Zilong Huang, Zhen Zhao, Xiaogang Xu

PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision

Yutao Dou, Huimin Yu, Wei Li, Jingyang Li, Fei Xia

Interventionally Consistent Surrogates for Complex Simulation Models

Joel Dyer, Nicholas Bishop, Yorgos Felekis, Fabio Massimo Zennaro, Anisoara Calinescu

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices

Anka Reuel, Amelia Hardy, Chandler Smith, Max Lamparth, Malcolm Hardy

The Collusion of Memory and Nonlinearity in Stochastic Approximation With Constant Stepsize

Dongyan Lucy Huo, YIXUAN ZHANG, Yudong Chen, Qiaomin Xie

FUSE: Fast Unified Simulation and Estimation for PDEs

Levi E. Lingsch, Dana Grund, Siddhartha Mishra, Georgios Kissas

Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski

SureMap: Simultaneous mean estimation for single-task and multi-task disaggregated evaluation

Mikhail Khodak, Lester Mackey, Alexandra Chouldechova, Miroslav Dudík

Nimbus: Secure and Efficient Two-Party Inference for Transformers

Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu

Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models

Alkis Kalavasis, Amin Karbasi, Argyris Oikonomou, Katerina Sotiraki, Grigoris Velegkas

OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance

Jiahao Wang, Caixia Yan, Haonan Lin, Weizhan Zhang, Mengmeng Wang

Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning

Andreas Schlaginhaufen, Maryam Kamgarpour

Acceleration Exists! Optimization Problems When Oracle Can Only Compare Objective Function Values

Aleksandr Lobanov, Alexander Gasnikov, Andrei Krasnov

Spatio-Temporal Interactive Learning for Efficient Image Reconstruction of Spiking Cameras

Bin Fan, Jiaoyang Yin, Yuchao Dai, Chao Xu, Tiejun Huang

DreamMesh4D: Video-to-4D Generation with Sparse-Controlled Gaussian-Mesh Hybrid Representation

Zhiqi Li, Yiming Chen, Peidong Liu

PageRank Bandits for Link Prediction

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu

RelBench: A Benchmark for Deep Learning on Relational Databases

Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han

What If the Input is Expanded in OOD Detection?

Boxuan Zhang, Jianing Zhu, Zengmao Wang, Tongliang Liu, Bo Du

WildGaussians: 3D Gaussian Splatting In the Wild

Jonas Kulhanek, Songyou Peng, Zuzana Kukelova, Marc Pollefeys, Torsten Sattler

ChronoMagic-Bench: A Benchmark for Metamorphic Evaluation of Text-to-Time-lapse Video Generation

Shenghai Yuan, Jinfa Huang, Yongqi Xu, Yaoyang Liu, Shaofeng Zhang

Discrete Dictionary-based Decomposition Layer for Structured Representation Learning

Taewon Park, Hyun-Chul Kim, Minho Lee

Taming Generative Diffusion Prior for Universal Blind Image Restoration

Siwei Tu, Weidong Yang, Ben Fei

Differential Privacy in Scalable General Kernel Learning via K-means Nystr\"om Random Features

Bonwoo Lee, Jeongyoun Ahn, Cheolwoo Park

Approximation-Aware Bayesian Optimization

Natalie Maus, Kyurae Kim, Geoff Pleiss, David Eriksson, John P. Cunningham

Watermarking Makes Language Models Radioactive

Tom Sander, Pierre Fernandez, Alain Durmus, Matthijs Douze, Teddy Furon

Bridging semantics and pragmatics in information-theoretic emergent communication

Eleonora Gualdoni, Mycal Tucker, Roger P. Levy, Noga Zaslavsky

A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

Hoin Jung, Taeuk Jang, Xiaoqian Wang

No-Regret Bandit Exploration based on Soft Tree Ensemble Model

Shogo Iwazaki, Shinya Suzumura

Derivative-enhanced Deep Operator Network

Yuan Qiu, Nolan Bridges, Peng Chen

Maia-2: A Unified Model for Human-AI Alignment in Chess

Zhenwei Tang, Difan Jiao, Reid McIlroy-Young, Jon Kleinberg, Siddhartha Sen

Boosting the Transferability of Adversarial Attack on Vision Transformer with Adaptive Token Tuning

Di Ming, Peng Ren, Yunlong Wang, Xin Feng

Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning

Minghui Chen, Meirui Jiang, Xin Zhang, Qi Dou, Zehua Wang

Active Learning with LLMs for Partially Observed and Cost-Aware Scenarios

Nicolás Astorga, Tennison Liu, Nabeel Seedat, Mihaela van der Schaar

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective

Jiaxi Hu, Yuehong Hu, Wei Chen, Ming Jin, Shirui Pan

DiffAug: A Diffuse-and-Denoise Augmentation for Training Robust Classifiers

Chandramouli S. Sastry, Sri Harsha Dumpala, Sageev Oore

Nesterov acceleration despite very noisy gradients

Kanan Gupta, Jonathan W. Siegel, Stephan Wojtowytsch

Edit Distance Robust Watermarks via Indexing Pseudorandom Codes

Noah Golowich, Ankur Moitra

General Articulated Objects Manipulation in Real Images via Part-Aware Diffusion Process

Zhou Fang, Yong-Lu Li, Lixin Yang, Cewu Lu

A benchmark for prediction of transcriptomic responses to chemical perturbations across cell types

Artur Szałata, Andrew Benz, Robrecht Cannoodt, Mauricio Cortes, Jason Fong

Needle In A Multimodal Haystack

Weiyun Wang, Shuibo Zhang, Yiming Ren, Yuchen Duan, Tiantong Li

Gradient Methods for Online DR-Submodular Maximization with Stochastic Long-Term Constraints

Guanyu Nie, Vaneet Aggarwal, Christopher John Quinn

Easy Regional Contrastive Learning of Expressive Fashion Representations

Daiqing Qi, Handong Zhao, Sheng Li

Implicit Curriculum in Procgen Made Explicit

Zhenxiong Tan, KAIXIN WANG, Xinchao Wang

Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing

Xixi Jia, Fangchen Feng, Deyu Meng, Defeng Sun

Public-data Assisted Private Stochastic Optimization: Power and Limitations

Enayat Ullah, Michael Menart, Raef Bassily, Cristóbal Guzmán, Raman Arora

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning

Bei Li, Tong Zheng, Rui Wang, Jiahao Liu, Qingyan Guo

Learning and Transferring Sparse Contextual Bigrams with Linear Transformers

Yunwei Ren, Zixuan Wang, Jason D. Lee

LCGen: Mining in Low-Certainty Generation for View-consistent Text-to-3D

Zeng Tao, Tong Yang, Junxiong Lin, Xinji Mai, Haoran Wang

MemoryFormer : Minimize Transformer Computation by Removing Fully-Connected Layers

Ning Ding, Yehui Tang, Haochen Qin, Zhenli Zhou, Chao Xu

Optimal Algorithms for Learning Partitions with Faulty Oracles

Adela Frances DePavia, Olga Medrano Martín del Campo, Erasmo Tani

Grounding Multimodal Large Language Models in Actions

Andrew Szot, Bogdan Mazoure, Harsh Agrawal, Devon Hjelm, Zsolt Kira

DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation

Sunghyeon Woo, Baesung Park, Byeongwook Kim, Minjung Jo, Se Jung Kwon

Semi-Supervised Sparse Gaussian Classification: Provable Benefits of Unlabeled Data

Eyar Azar, Boaz Nadler

HumanVid: Demystifying Training Data for Camera-controllable Human Image Animation

Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Youqing Fang, Yuwei Guo

Efficient Streaming Algorithms for Graphlet Sampling

Yann Bourreau, Marco Bressan, T-H. Hubert Chan, Qipeng Kuang, Mauro Sozio

MambaTalk: Efficient Holistic Gesture Synthesis with Selective State Space Models

Zunnan Xu, Yukang Lin, Haonan Han, Sicheng Yang, Ronghui Li

Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization

Chen Hang, Zhe Ma, Haoming Chen, Xuwei Fang, Weisheng Xie

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature

Deepak Ravikumar, Efstathia Soufleri, Kaushik Roy

Vision Foundation Model Enables Generalizable Object Pose Estimation

Kai Chen, Yiyao Ma, Xingyu Lin, Stephen James, Jianshu Zhou

Task Me Anything

Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He

Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction

Yixuan Even Xu, Hanrui Zhang, Yu Cheng, Vincent Conitzer

Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection

Yinxuan Huang, Chengmin Gao, Bin Li, Xiangyang Xue

On the Scalability of GNNs for Molecular Graphs

Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri

RETR: Multi-View Radar Detection Transformer for Indoor Perception

Ryoma Yataka, Adriano Cardace, Pu (Perry) Wang, Petros Boufounos, Ryuhei Takahashi

Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference

Yonghan Jung, Min Woo Park, Sanghack Lee

Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem Solving

Aniket Didolkar, Anirudh Goyal, Nan Rosemary Ke, Siyuan Guo, Michal Valko

Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes

Yan Huang, Xiang Li, Yipeng Shen, Niao He, Jinming Xu

LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate

Anthony Fuller, Daniel G. Kyrollos, Yousef Yassin, James R. Green

DEFT: Efficient Fine-tuning of Diffusion Models by Learning the Generalised h-transform

Alexander Denker, Francisco Vargas, Shreyas Padhy, Kieran Didi, Simon Mathis

Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits

Dorian Baudry, Hugo Richard, Maria Cherifa, Clément Calauzènes, Vianney Perchet

Progressive Entropic Optimal Transport Solvers

Parnian Kassraie, Aram-Alexandre Pooladian, Michal Klein, James Thornton, Jonathan Niles-Weed

Revisiting Few-Shot Object Detection with Vision-Language Models

Anish Madan, Neehar Peri, Shu Kong, Deva Ramanan

FUGAL: Feature-fortified Unrestricted Graph Alignment

Aditya Bommakanti, Harshith Reddy Vonteri, Konstantinos Skitsas, Sayan Ranu, Davide Mottin

Beyond Slow Signs in High-fidelity Model Extraction

Hanna Foerster, Robert Mullins, Ilia Shumailov, Jamie Hayes

ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Lin Chen, Xilin Wei, Jinsong Li, Xiaoyi Dong, Pan Zhang

An Expectation-Maximization Algorithm for Training Clean Diffusion Models from Corrupted Observations

Weimin Bai, Yifei Wang, Wenzheng Chen, He Sun

Robust Neural Contextual Bandit against Adversarial Corruptions

Yunzhe Qi, Yikun Ban, Arindam Banerjee, Jingrui He

SOI: Scaling Down Computational Complexity by Estimating Partial States of the Model

Grzegorz Stefański, Paweł Daniluk, Artur Szumaczuk, Jakub Tkaczuk

Evaluating the design space of diffusion-based generative models

Yuqing Wang, Ye He, Molei Tao

Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion

Yongyuan Liang, Tingqiang Xu, Kaizhe Hu, Guangqi Jiang, Furong Huang

Interpretable Concept-Based Memory Reasoning

David Debot, Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna, Michelangelo Diligenti

OlympicArena: Benchmarking Multi-discipline Cognitive Reasoning for Superintelligent AI

Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

Dongjun Kim, Chieh-Hsin Lai, Wei-Hsiang Liao, Yuhta Takida, Naoki Murata

Proportional Fairness in Non-Centroid Clustering

Ioannis Caragiannis, Evi Micha, Nisarg Shah

OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding

Yanmin Wu, Jiarui Meng, Haijie Li, Chenming Wu, Yahao Shi

Boosting Graph Pooling with Persistent Homology

Chaolong Ying, Xinjian Zhao, Tianshu Yu

Invariant subspaces and PCA in nearly matrix multiplication time

Aleksandros Sobczyk, Marko Mladenović, Mathieu Luisier

Image Reconstruction Via Autoencoding Sequential Deep Image Prior

Ismail R. Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang

Policy Learning from Tutorial Books via Understanding, Rehearsing and Introspecting

Xiong-Hui Chen, Ziyan Wang, Yali Du, Shengyi Jiang, Meng Fang

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques

Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao

Gene-Gene Relationship Modeling Based on Genetic Evidence for Single-Cell RNA-Seq Data Imputation

Daeho Um, Ji Won Yoon, Seong Jin Ahn, Yunha Yeo

WaterMax: breaking the LLM watermark detectability-robustness-quality trade-off

Eva Giboulot, Teddy Furon

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space

Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina Adam

FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning

Lisha Chen, AFM Saif, Yanning Shen, Tianyi Chen

MeMo: Meaningful, Modular Controllers via Noise Injection

Megan Tjandrasuwita, Jie Xu, Armando Solar-Lezama, Wojciech Matusik