NeurIPS 2023

3,540 papers

Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima

Dongkuk Si, Chulhee Yun

NeRF Revisited: Fixing Quadrature Instability in Volume Rendering

Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Thomas, Leonidas Guibas

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

Hanzhuo Huang, Yufan Feng, Cheng Shi, Lan Xu, Jingyi Yu

SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery

Nina Montana-Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic

A Unified Discretization Framework for Differential Equation Approach with Lyapunov Arguments for Convex Optimization

Kansei Ushiyama, Shun Sato, Takayasu Matsuo

Multi-Swap k-Means++

Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis

WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data

Maurice Weber, Carlo Siebenschuh, Rory Butler, Anton Alexandrov, Valdemar Thanner

A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability

Zijie Geng, Xijun Li, Jie Wang, Xiao Li, Yongdong Zhang

Small batch deep reinforcement learning

Johan Obando Ceron, Marc Bellemare, Pablo Samuel Castro

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction

Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

Segment Anything in 3D with NeRFs

Jiazhong Cen, Zanwei Zhou, Jiemin Fang, chen yang, Wei Shen

Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model

Amine Ouasfi, Adnane Boukhayma

Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets

Arthur da Cunha, Francesco D'Amore, Natale

Calibration by Distribution Matching: Trainable Kernel Calibration Metrics

Charlie Marx, Sofian Zalouk, Stefano Ermon

Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples

Shaokui Wei, Mingda Zhang, Hongyuan Zha, Baoyuan Wu

Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules

Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi

Undirected Probabilistic Model for Tensor Decomposition

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Layer-Neighbor Sampling --- Defusing Neighborhood Explosion in GNNs

Muhammed Fatih Balin, Ümit Çatalyürek

No Train No Gain: Revisiting Efficient Training Algorithms For Transformer-based Language Models

Jean Kaddour, Oscar Key, Piotr Nawrot, Pasquale Minervini, Matt J Kusner

Accelerating Molecular Graph Neural Networks via Knowledge Distillation

Filip Ekström Kelvinius, Dimitar Georgiev, Artur Toshev, Johannes Gasteiger

Adaptive Data Analysis in a Balanced Adversarial Model

Kobbi Nissim, Uri Stemmer, Eliad Tsfadia

Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning

Ming-Kun Xie, Jiahao Xiao, Gang Niu, Masashi Sugiyama, Sheng-jun Huang

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models

Yubin Shi, Yixuan Chen, MINGZHI DONG, Xiaochen Yang, Dongsheng Li

Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards

Semih Cayci, Atilla Eryilmaz

QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning

Di Luo, Jiayu Shen, Rumen Dangovski, Marin Soljacic

Trade-off Between Efficiency and Consistency for Removal-based Explanations

Yifan Zhang, Haowei He, Zhiquan Tan, Yang Yuan

Gaussian Mixture Solvers for Diffusion Models

Hanzhong Guo, Cheng Lu, Fan Bao, Tianyu Pang, Shuicheng Yan

Information Design in Multi-Agent Reinforcement Learning

Yue Lin, Wenhao Li, Hongyuan Zha, Baoxiang Wang

Exposing Attention Glitches with Flip-Flop Language Modeling

Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang

Goal-Conditioned Predictive Coding for Offline Reinforcement Learning

Zilai Zeng, Ce Zhang, Shijie Wang, Chen Sun

Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal

Leah Chrestien, Stefan Edelkamp, Antonin Komenda, Tomas Pevny

The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation

Elia Turner, Omri Barak

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su

Intra-Modal Proxy Learning for Zero-Shot Visual Categorization with CLIP

Qi Qian, Yuanhong Xu, Juhua Hu

FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding

Pengxiang Wu, Siman Wang, Kevin Dela Rosa, Derek Hu

Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images

Zeyu Lu, Di Huang, LEI BAI, Jingjing Qu, Chengyue Wu

Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling

Yoav Kolumbus, Menahem Levy, Noam Nisan

Learning Sample Difficulty from Pre-trained Models for Reliable Prediction

Peng Cui, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

SEGA: Instructing Text-to-Image Models using Semantic Guidance

Manuel Brack, Felix Friedrich, Dominik Hintersdorf, Lukas Struppek, Patrick Schramowski

Efficient Online Clustering with Moving Costs

Dimitrios Christou, Stratis Skoulakis, Volkan Cevher

Blocked Collaborative Bandits: Online Collaborative Filtering with Per-Item Budget Constraints

Soumyabrata Pal, Arun Suggala, Karthikeyan Shanmugam, Prateek Jain

Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset

Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang

RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency

Zhuoman Liu, Bo Yang, Yan Luximon, Ajay Kumar, Jinxi Li

Bounded rationality in structured density estimation

Tianyuan Teng, Kevin Li, Hang Zhang

Most Neural Networks Are Almost Learnable

Amit Daniely, Nati Srebro, Gal Vardi

Refined Mechanism Design for Approximately Structured Priors via Active Regression

Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas, Paritosh Verma

LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images

Viraj Prabhu, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman

How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception

Dingkang Yang, Kun Yang, Yuzheng Wang, Jing Liu, Zhi Xu

Additive Decoders for Latent Variables Identification and Cartesian-Product Extrapolation

Sébastien Lachapelle, Divyat Mahajan, Ioannis Mitliagkas, Simon Lacoste-Julien

Conditional Matrix Flows for Gaussian Graphical Models

Marcello Massimo Negri, Fabricio Arend Torres, Volker Roth

EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought

Yao Mu, Qinglong Zhang, Mengkang Hu, Wenhai Wang, Mingyu Ding

Does progress on ImageNet transfer to real-world datasets?

Alex Fang, Simon Kornblith, Ludwig Schmidt

Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes

YIXUAN ZHANG, Quyu Kong, Feng Zhou

A Multi-modal Global Instance Tracking Benchmark (MGIT): Better Locating Target in Complex Spatio-temporal and Causal Relationship

Shiyu Hu, Dailing Zhang, wu meiqi, Xiaokun Feng, Xuchen Li

Fine-Grained Visual Prompting

Lingfeng Yang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang

Permutation Equivariant Neural Functionals

Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, YiDing Jiang

Nearly Tight Bounds For Differentially Private Multiway Cut

Mina Dalirrooyfard, Slobodan Mitrovic, Yuriy Nevmyvaka

Attention as Implicit Structural Inference

Ryan Singh, Christopher L Buckley

The Impact of Positional Encoding on Length Generalization in Transformers

Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

Yijian Qin, Xin Wang, Ziwei Zhang, Hong Chen, Wenwu Zhu

Retrieval-Augmented Multiple Instance Learning

Yufei CUI, Ziquan Liu, Yixin Chen, Yuchen Lu, Xinyue Yu

Cinematic Mindscapes: High-quality Video Reconstruction from Brain Activity

Zijiao Chen, Jiaxin Qing, Juan Helen Zhou

Cross-modal Active Complementary Learning with Self-refining Correspondence

Yang Qin, Yuan Sun, Dezhong Peng, Joey Tianyi Zhou, Xi Peng

Labeling Neural Representations with Inverse Recognition

Kirill Bykov, Laura Kopf, Shinichi Nakajima, Marius Kloft, Marina Höhne

Outlier-Robust Gromov-Wasserstein for Graph Data

Lemin Kong, JIAJIN LI, Jianheng Tang, Anthony Man-Cho So

Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data

Alon Albalak, Colin A Raffel, William Yang Wang

Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations

Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Paul Scotti, Atmadeep Banerjee, Jimmie Goode, Stepan Shabalin, Alex Nguyen

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset

Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang

MuSe-GNN: Learning Unified Gene Representation From Multimodal Biological Graph Data

Tianyu Liu, Yuge Wang, Rex Ying, Hongyu Zhao

Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization

Yajie Bao, Amarda Shehu, Mingrui Liu

A-NeSI: A Scalable Approximate Method for Probabilistic Neurosymbolic Inference

Emile van Krieken, Thiviyan Thanapalasingam, Jakub Tomczak, Frank van Harmelen, Annette Ten Teije

Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval

Hao Li, Jingkuan Song, Lianli Gao, Xiaosu Zhu, Hengtao Shen

SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots

Jong Wook Bae, Jungho Kim, Junyong Yun, Changwon Kang, Jeongseon Choi

Transformers learn through gradual rank increase

Enric Boix-Adsera, Etai Littwin, Emmanuel Abbe, Samy Bengio, Joshua Susskind

Joint Feature and Differentiable $ k $-NN Graph Learning using Dirichlet Energy

Lei Xu, Lei Chen, Rong Wang, Feiping Nie, Xuelong Li

Preference-grounded Token-level Guidance for Language Model Fine-tuning

Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong

Similarity-based cooperative equilibrium

Caspar Oesterheld, Johannes Treutlein, Roger B Grosse, Vincent Conitzer, Jakob Foerster

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning

Guanlin Liu, Lifeng LAI

Failure-Aware Gaussian Process Optimization with Regret Bounds

Shogo Iwazaki, Shion Takeno, Tomohiko Tanabe, Mitsuru Irie

Optimal Excess Risk Bounds for Empirical Risk Minimization on p-Norm Linear Regression

Ayoub El Hanchi, Murat A Erdogdu

Self-Supervised Visual Acoustic Matching

Arjun Somayazulu, Changan Chen, Kristen Grauman

Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network

Zitang Sun, Yen-Ju Chen, Yung-Hao Yang, Shin'ya Nishida

Event Stream GPT: A Data Pre-processing and Modeling Library for Generative, Pre-trained Transformers over Continuous-time Sequences of Complex Events

Matthew McDermott, Bret Nestor, Peniel Argaw, Isaac S Kohane

Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs

Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi

Conditional score-based diffusion models for Bayesian inference in infinite dimensions

Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop

Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion

Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan

Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans

Kyowoon Lee, Seongun Kim, Jaesik Choi

Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise

Ta Duy Nguyen, Thien H Nguyen, Alina Ene, Huy Nguyen

Generalizing Importance Weighting to A Universal Solver for Distribution Shift Problems

Tongtong Fang, Nan Lu, Gang Niu, Masashi Sugiyama

Hyper-Skin: A Hyperspectral Dataset for Reconstructing Facial Skin-Spectra from RGB Images

Pai Chet Ng, Zhixiang Chi, Yannick Verdie, Juwei Lu, Konstantinos N Plataniotis

Single-Stage Visual Query Localization in Egocentric Videos

Hanwen Jiang, Santhosh Kumar Ramakrishnan, Kristen Grauman

Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry

Yong-Hyun Park, Mingi Kwon, Jaewoong Choi, Junghyo Jo, Youngjung Uh

Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations

Thomas Yerxa, Yilun Kuang, Eero P. Simoncelli, SueYeon Chung

Language Semantic Graph Guided Data-Efficient Learning

Wenxuan Ma, Shuang Li, lincan Cai, Jingxuan Kang

Optimal Transport Model Distributional Robustness

Van-Anh Nguyen, Trung Le, Anh Bui, Thanh-Toan Do, Dinh Phung

Bayesian Extensive-Rank Matrix Factorization with Rotational Invariant Priors

Farzad Pourkamali, Nicolas Macris

REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling

Suman Bhoi, Mong Li Lee, Wynne Hsu, Ngiap Chuan Tan

Lexinvariant Language Models

Qian Huang, Eric Zelikman, Sarah Chen, Yuhuai Wu, Gregory Valiant

Near Optimal Reconstruction of Spherical Harmonic Expansions

Amir Zandieh, Insu Han, Haim Avron