NeurIPS 2023

3,540 papers

On Generalization Bounds for Projective Clustering

Maria Sofia Bucarelli, Matilde Larsen, Chris Schwiegelshohn, Mads Toftrup

ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets

Damien Teney, Yong Lin, Seong Joon Oh, Ehsan Abbasnejad

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Hugo Laurençon, Lucile Saulnier, Leo Tronchon, Stas Bekman, Amanpreet Singh

Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory

Minhak Song, Chulhee Yun

Cal-DETR: Calibrated Detection Transformer

Muhammad Akhtar Munir, Salman H Khan, Muhammad Haris Khan, Mohsen Ali, Fahad Shahbaz Khan

The expressive power of pooling in Graph Neural Networks

Filippo Maria Bianchi, Veronica Lachi

An Exploration-by-Optimization Approach to Best of Both Worlds in Linear Bandits

Shinji Ito, Kei Takemura

Transient Neural Radiance Fields for Lidar View Synthesis and 3D Reconstruction

Anagh Malik, Parsa Mirdehghan, Sotiris Nousias, Kyros Kutulakos, David Lindell

Lower Bounds on Adaptive Sensing for Matrix Recovery

Praneeth Kacham, David Woodruff

Mitigating Test-Time Bias for Fair Image Retrieval

Fanjie Kong, Shuai Yuan, Weituo Hao, Ricardo Henao

Does Invariant Graph Learning via Environment Augmentation Learn Invariance?

Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han

Gradient-Based Feature Learning under Structured Data

Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat A Erdogdu

Back-Modality: Leveraging Modal Transformation for Data Augmentation

Zhi Li, Yifan liu, Yin Zhang

Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance

Jonathan Crabbe, Mihaela van der Schaar

Robust Model Reasoning and Fitting via Dual Sparsity Pursuit

Xingyu Jiang, Jiayi Ma

An Optimization-based Approach To Node Role Discovery in Networks: Approximating Equitable Partitions

Michael Scholkemper, Michael T Schaub

AUDIT: Audio Editing by Following Instructions with Latent Diffusion Models

Yuancheng Wang, Zeqian Ju, Xu Tan, Lei He, Zhizheng Wu

What Truly Matters in Trajectory Prediction for Autonomous Driving?

Tran Phong, Haoran Wu, Cunjun Yu, Panpan Cai, Sifa Zheng

Creating a Public Repository for Joining Private Data

James Cook, Milind Shyani, Nina Mishra

PromptIR: Prompting for All-in-One Image Restoration

Vaishnav Potlapalli, Syed Waqas Zamir, Salman H Khan, Fahad Shahbaz Khan

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels

Shu-Lin Xu, Yifan Sun, Faen Zhang, Anqi Xu, Xiu-Shen Wei

Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior

Shashank Subramanian, Peter Harrington, Kurt Keutzer, Wahid Bhimji, Dmitriy Morozov

BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis

Zelin Ni, Hang Yu, Shizhan Liu, Jianguo Li, Weiyao Lin

COCO-Counterfactuals: Automatically Constructed Counterfactual Examples for Image-Text Pairs

Tiep Le, VASUDEV LAL, Phillip Howard

On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence

Achraf Azize, Marc Jourdan, Aymen Al Marjani, Debabrota Basu

Optimal Block-wise Asymmetric Graph Construction for Graph-based Semi-supervised Learning

Zixing Song, Yifei Zhang, Irwin King

Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards

Alexandre Rame, Guillaume Couairon, Corentin Dancette, Jean-Baptiste Gaya, Mustafa Shukor

CoDet: Co-occurrence Guided Region-Word Alignment for Open-Vocabulary Object Detection

Chuofan Ma, Yi Jiang, Xin Wen, Zehuan Yuan, Xiaojuan Qi

Learning Trajectories are Generalization Indicators

Jingwen Fu, Zhizheng Zhang, Dacheng Yin, Yan Lu, Nanning Zheng

Label Poisoning is All You Need

Rishi Jha, Jonathan Hayase, Sewoong Oh

Training on Foveated Images Improves Robustness to Adversarial Attacks

Muhammad Shah, Aqsa Kashaf, Bhiksha Raj

Operation-Level Early Stopping for Robustifying Differentiable NAS

Shen Jiang, Zipeng Ji, Guanghui Zhu, chunfeng yuan, Yihua Huang

Analyzing Generalization of Neural Networks through Loss Path Kernels

Yilan Chen, Wei Huang, Hao Wang, Charlotte Loh, Akash Srivastava

Why think step by step? Reasoning emerges from the locality of experience

Ben Prystawski, Michael Li, Noah Goodman

Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions

Kai Tan, Pierre C Bellec

Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards

Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, Lijun Zhang

Enhancing Sharpness-Aware Optimization Through Variance Suppression

Bingcong Li, Georgios Giannakis

Training-free Diffusion Model Adaptation for Variable-Sized Text-to-Image Synthesis

Zhiyu Jin, Xuli Shen, Bin Li, Xiangyang Xue

Distributed Personalized Empirical Risk Minimization

Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia, Mehrdad Mahdavi

Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback

Jaskirat Singh, Liang Zheng

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Guhao Feng, Bohang Zhang, Yuntian Gu, Haotian Ye, Di He

Zero-One Laws of Graph Neural Networks

Sam Adam-Day, Iliant, Ismail Ceylan

Finding Safe Zones of Markov Decision Processes Policies

Lee Cohen, Yishay Mansour, Michal Moshkovitz

Adversarial Counterfactual Environment Model Learning

Xiong-Hui Chen, Yang Yu, Zhengmao Zhu, ZhiHua Yu, Chen Zhenjun

Data Augmentations for Improved (Large) Language Model Generalization

Amir Feder, Yoav Wald, Claudia Shi, Suchi Saria, David M. Blei

Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning

Ronald Xie, Kuan Pang, Sai Chung, Catia Perciani, Sonya MacParland

Learning Dense Flow Field for Highly-accurate Cross-view Camera Localization

Zhenbo Song, ze xianghui, Jianfeng Lu, Yujiao Shi

Operator Learning with Neural Fields: Tackling PDEs on General Geometries

Louis Serrano, Lise Le Boudec, Armand Kassaï Koupaï, Thomas X Wang, Yuan Yin

Learning Visual Prior via Generative Pre-Training

Jinheng Xie, Kai Ye, Yudong Li, Yuexiang Li, Kevin Qinghong Lin

Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes

Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang

Bifurcations and loss jumps in RNN training

Lukas Eisenmann, Zahra Monfared, Niclas Göring, Daniel Durstewitz

Masked Space-Time Hash Encoding for Efficient Dynamic Scene Reconstruction

Feng Wang, Zilong Chen, Guokang Wang, Yafei Song, Huaping Liu

Learning Motion Refinement for Unsupervised Face Animation

Jiale Tao, Shuhang Gu, Wen Li, Lixin Duan

Multiply Robust Federated Estimation of Targeted Average Treatment Effects

Larry Han, Zhu Shen, Jose Zubizarreta

Recasting Continual Learning as Sequence Modeling

Soochan Lee, Jaehyeon Son, Gunhee Kim

Faster approximate subgraph counts with privacy

Dung Nguyen, Mahantesh Halappanavar, Venkatesh Srinivasan, Anil Vullikanti

ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection

Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin

TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs

Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows

Towards a fuller understanding of neurons with Clustered Compositional Explanations

Biagio La Rosa, Leilani Gilpin, Roberto Capobianco

Faith and Fate: Limits of Transformers on Compositionality

Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang (Lorraine) Li, Liwei Jiang

Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams

Shiyan Chen, Jiyuan Zhang, Yajing Zheng, Tiejun Huang, Zhaofei Yu

On the Identifiability and Interpretability of Gaussian Process Models

Jiawen Chen, Wancen Mu, Yun Li, Didong Li

Direct Preference-based Policy Optimization without Reward Modeling

Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Hyun Oh Song

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang

Low-shot Object Learning with Mutual Exclusivity Bias

Anh Thai, Ahmad Humayun, Stefan Stojanov, Zixuan Huang, Bikram Boote

ADGym: Design Choices for Deep Anomaly Detection

Minqi Jiang, Chaochuan Hou, Ao Zheng, Songqiao Han, Hailiang Huang

From Trainable Negative Depth to Edge Heterophily in Graphs

Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das

Boosting Adversarial Transferability by Achieving Flat Local Maxima

Zhijin Ge, Hongying Liu, Wang Xiaosen, Fanhua Shang, Yuanyuan Liu

Large Language Models are Visual Reasoning Coordinators

Liangyu Chen, Bo Li, Sheng Shen, Jingkang Yang, Chunyuan Li

OV-PARTS: Towards Open-Vocabulary Part Segmentation

Meng Wei, Xiaoyu Yue, Wenwei Zhang, Shu Kong, Xihui Liu

Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance

Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen

Frequency Domain-Based Dataset Distillation

Seungjae Shin, Il-chul Moon, Dong Hyeok Shin, Donghyeok Shin

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

Souhaib Attaiki, Maks Ovsjanikov

Holistic Evaluation of Text-to-Image Models

Tony Lee, Michihiro Yasunaga, Chenlin Meng, Yifan Mai, Joon Sung Park

OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling

Yifan Zhang, Qingsong Wen, xue wang, Weiqi Chen, Liang Sun

Thrust: Adaptively Propels Large Language Models with External Knowledge

Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu

STEVE-1: A Generative Model for Text-to-Behavior in Minecraft

Shalev Lifshitz, Keiran Paster, Harris Chan, Jimmy Ba, Sheila McIlraith

GLEMOS: Benchmark for Instantaneous Graph Learning Model Selection

Namyong Park, Ryan Rossi, Xing Wang, Antoine Simoulin, Nesreen K. Ahmed

Unbiased learning of deep generative models with structured discrete representations

Henry C Bendekgey, Gabe Hope, Erik B. Sudderth

Guiding The Last Layer in Federated Learning with Pre-Trained Models

Gwen Legate, Nicolas Bernier, Lucas Page-Caccia, Edouard Oyallon, Eugene Belilovsky

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Cheng Tan, Siyuan Li, Zhangyang Gao, Wenfei Guan, Zedong Wang

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu

Iterative Reachability Estimation for Safe Reinforcement Learning

Milan Ganai, Zheng Gong, Chenning Yu, Sylvia Herbert, Sicun Gao

Unsupervised Image Denoising with Score Function

Yutong Xie, Mingze Yuan, Bin Dong, Quanzheng Li

Evaluating Cognitive Maps and Planning in Large Language Models with CogEval

Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic

Module-wise Adaptive Distillation for Multimodality Foundation Models

Chen Liang, Jiahui Yu, Ming-Hsuan Yang, Matthew Brown, Yin Cui

ChatGPT-Powered Hierarchical Comparisons for Image Classification

Zhiyuan Ren, Yiyang Su, Xiaoming Liu

4D Panoptic Scene Graph Generation

Jingkang Yang, Jun CEN, WENXUAN PENG, Shuai Liu, Fangzhou Hong

Unsupervised Anomaly Detection with Rejection

Lorenzo Perini, Jesse Davis

Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning

Francesca Bartolucci, Emmanuel de Bézenac, Bogdan Raonic, Roberto Molinaro, Siddhartha Mishra

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu

DAMEX: Dataset-aware Mixture-of-Experts for visual understanding of mixture-of-datasets

Yash Jain, Harkirat Behl, Zsolt Kira, Vibhav Vineet

Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction

Qing Wu, Lixuan Chen, Ce Wang, Hongjiang Wei, S. Kevin Zhou

PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection

Zhizhang Yuan, Daoze Zhang, Yang Yang, Junru Chen, Yafeng Li

Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances

Shahriar Talebi, Amirhossein Taghvaei, Mehran Mesbahi

DynPoint: Dynamic Neural Point For View Synthesis

Kaichen Zhou, Jia-Xing Zhong, Sangyun Shin, Kai Lu, Yiyuan Yang

Minimum-Risk Recalibration of Classifiers

Zeyu Sun, Dogyoon Song, Alfred O. Hero

KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs

Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang

Framework and Benchmarks for Combinatorial and Mixed-variable Bayesian Optimization

Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar

Anonymous and Copy-Robust Delegations for Liquid Democracy

Markus Utke, Ulrike Schmidt-Kraepelin