NeurIPS 2023: all accepted papers

3,540 papers · page 25 of 36 · the most cited first · ← NeurIPS 2023

Exponential Lower Bounds for Fictitious Play in Potential Games ↗Ioannis Panageas, Nikolas Patris, Stratis Skoulakis et al.1 citation
Exponentially Convergent Algorithms for Supervised Matrix Factorization ↗Joowon Lee, Hanbaek Lyu, Weixin Yao1 citation
FIRAL: An Active Learning Algorithm for Multinomial Logistic Regression ↗Youguang Chen, George Biros1 citation
FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding ↗Pengxiang Wu, Siman Wang, Kevin Dela Rosa et al.1 citation
Fair Canonical Correlation Analysis ↗Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou et al.1 citation
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint ↗Junghyun Lee, Hanseul Cho, Se-Young Yun et al.1 citation
Fantastic Robustness Measures: The Secrets of Robust Generalization ↗Hoki Kim, Jinseong Park, Yujin Choi et al.1 citation
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training ↗Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu et al.1 citation
Fast Approximation of Similarity Graphs with Kernel Density Estimation ↗Peter Macgregor, He Sun1 citation
Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention ↗Matteo Pagliardini, Daniele Paliotta, Martin Jaggi et al.1 citation
Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity ↗Jian‐Feng Cai, José Vinícius de Miranda Cardoso, Daniel P. Palomar et al.1 citation
Feature Adaptation for Sparse Linear Regression ↗Jonathan A. Kelner, Frederic Koehler, Raghu Meka et al.1 citation
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning ↗Alex Tamkin, Margalit Glasgow, Xiluo He et al.1 citation
Feature Learning for Interpretable, Performant Decision Trees ↗Jack Good, Torin Kovach, Kyle Miller et al.1 citation
Feature Selection in the Contrastive Analysis Setting ↗Ethan Weinberger, Ian Covert, Su‐In Lee1 citation
FedNAR: Federated Optimization with Normalized Annealing Regularization ↗Junbo Li, Ang Li, Chong Tian et al.1 citation
Federated Compositional Deep AUC Maximization ↗Xinwen Zhang, Yihan Zhang, Tianbao Yang et al.1 citation
Federated Conditional Stochastic Optimization ↗Xidong Wu, Jianhui Sun, Zhengmian Hu et al.1 citation
Federated Learning via Meta-Variational Dropout ↗Insu Jeon, Minui Hong, Junhyeog Yun et al.1 citation
FiGURe: Simple and Efficient Unsupervised Node Representations with Filter Augmentations ↗Chanakya Ekbote, Ajinkya Pankaj Deshpande, Arun Iyer et al.1 citation
Finite-Time Analysis of Single-Timescale Actor-Critic ↗Xuyang Chen, Lin Feng Zhao1 citation
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning ↗Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang et al.1 citation
FlowPG: Action-constrained Policy Gradient with Normalizing Flows ↗Janaka Chathuranga Brahmanage, Jiajing Ling, Akshat Kumar1 citation
Follow-ups Also Matter: Improving Contextual Bandits via Post-serving Contexts ↗Chaoqi Wang, Ziyu Ye, Zhe Feng et al.1 citation
Formulating Discrete Probability Flow Through Optimal Transport ↗Pengze Zhang, Hubery Yin, Chen Li et al.1 citation
From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion ↗Robin San Roman, Yossi Adi, Antoine Deleforge et al.1 citation
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models ↗Roy Uziel, Or Dinari, Oren Freifeld1 citation
Fully Dynamic k-Clustering in O(k) Update Time ↗Sayan Bhattacharya, Martín Costa, Silvio Lattanzi et al.1 citation
GEX: A flexible method for approximating influence via Geometric Ensemble ↗Sungyub Kim, Kyungsu Kim, Eunho Yang1 citation
Gaussian Membership Inference Privacy ↗Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci1 citation
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation ↗Jiachen Liang, Ruibing Hou, Hong Chang et al.1 citation
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport ↗Jaemoo Choi, Jaewoong Choi, Myungjoo Kang1 citation
Generative Neural Fields by Mixtures of Neural Implicit Functions ↗Tackgeun You, Mijeong Kim, Jungtaek Kim et al.1 citation
Geometric Transformer with Interatomic Positional Encoding ↗Yusong Wang, Shaoning Li, Tong Wang et al.1 citation
Geometry-Aware Adaptation for Pretrained Models ↗Nicholas Roberts, Xintong Li, Dyah Adila et al.1 citation
Global Identifiability of 1-based Dictionary Learning via Matrix Volume Optimization ↗Jingzhou Hu, Kejun Huang1 citation
Global Optimality in Bivariate Gradient-based DAG Learning ↗Chang Deng, Kevin Bello, Pradeep Ravikumar et al.1 citation
Going beyond persistent homology using persistent homology ↗Johanna Immonen, Amauri Souza, Vikas Garg1 citation
Granger Components Analysis: Unsupervised learning of latent temporal dependencies ↗Jacek Dmochowski1 citation
Graph of Circuits with GNN for Exploring the Optimal Design Space ↗Aditya Hemant Shahane, Saripilli Swapna Manjiri, Ankesh Jain et al.1 citation
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing ↗Nived Rajaraman, Fnu Devvrit, Aryan Mokhtari et al.1 citation
Guide Your Agent with Adaptive Multimodal Rewards ↗Changyeon Kim, Younggyo Seo, Hao Liu et al.1 citation
Guiding The Last Layer in Federated Learning with Pre-Trained Models ↗Gwen Legate, Nicolas Bernier, Lucas Caccia et al.1 citation
H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets ↗Guanqiang Zhou, Ping Xu, Yue Wang et al.1 citation
Hardware Resilience Properties of Text-Guided Image Classifiers ↗Syed Talal Wasim, Kabila Haile Soboka, Abdulrahman Mahmoud et al.1 citation
Harnessing the power of choices in decision tree learning ↗Guy Blanc, Jane Lange, Chirag Pabbaraju et al.1 citation
HiBug: On Human-Interpretable Model Debug ↗Muxi Chen, Yu Li, Qiang Xu1 citation
Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning ↗Yizhou Zhang, Jingchao Ni, Wei Cheng et al.1 citation
Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration ↗Longlin Yu, Tianyu Xie, Yu Zhu et al.1 citation
High Precision Causal Model Evaluation with Conditional Randomization ↗Chao Ma, Cheng Zhang1 citation
Higher-Order Uncoupled Dynamics Do Not Lead to Nash Equilibrium - Except When They Do ↗Sarah A. Toonsi, Jeff S. Shamma1 citation
How Does Adaptive Optimization Impact Local Neural Network Geometry? ↗Kaiqi Jiang, Dhruv Malik, Yuanzhi Li1 citation
How a Student becomes a Teacher: learning and forgetting through Spectral methods ↗Lorenzo Giambagli, Lorenzo Buffoni, Lorenzo Chicchi et al.1 citation
Human spatiotemporal pattern learning as probabilistic program synthesis ↗Tracey Mills, Joshua B. Tenenbaum, Samuel Cheyette1 citation
Human-Guided Complexity-Controlled Abstractions ↗Andi Peng, Mycal Tucker, Eoin M. Kenny et al.1 citation
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork ↗Bipasha Sen, Gaurav Singh, Aditya Agarwal et al.1 citation
Hybrid Search for Efficient Planning with Completeness Guarantees ↗Kalle Kujanpää, Joni Pajarinen, Alexander Ilin1 citation
Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels ↗Shu-Lin Xu, Yifan Sun, Faen Zhang et al.1 citation
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets ↗Damien Teney, Yong Lin, Seong Joon Oh et al.1 citation
Idempotent Learned Image Compression with Right-Inverse ↗Yanghao Li, Tongda Xu, Yan Wang et al.1 citation
Identifiable Contrastive Learning with Automatic Feature Importance Discovery ↗Qi Zhang, Yifei Wang, Yisen Wang1 citation
Identification of Nonlinear Latent Hierarchical Models ↗Lingjing Kong, Biwei Huang, Feng Xie et al.1 citation
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models ↗Yeongbin Kim, Gautam Singh, Junyeong Park et al.1 citation
Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network ↗Bochen Lyu, Zhanxing Zhu1 citation
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis ↗Zhu Wang, Sourav Medya, Sathya N. Ravi1 citation
Implicit Manifold Gaussian Process Regression ↗Bernardo Fichera, Slava Borovitskiy, Andreas Krause et al.1 citation
Implicit Regularization in Over-Parameterized Support Vector Machine ↗Yang Sui, Xin He, Yang Bai1 citation
Improved Bayes Risk Can Yield Reduced Social Welfare Under Competition ↗Meena Jagadeesan, Michael I. Jordan, Jacob Steinhardt et al.1 citation
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms ↗Tiancheng Jin, Junyan Liu, Haipeng Luo1 citation
Improved Convergence in High Probability of Clipped Gradient Methods with Heavy Tailed Noise ↗Ta Duy Nguyen, Thien H Nguyen, Alina Ene et al.1 citation
Improving Adversarial Robustness via Information Bottleneck Distillation ↗Huafeng Kuang, Hong Liu, Yongjian Wu et al.1 citation
Improving Robustness with Adaptive Weight Decay ↗MohammadAmin Ghiasi, Ali Shafahi, Reza Dehestani Ardekani1 citation
In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer ↗Yuzhou Cao, Hussein Mozannar, Lei Feng et al.1 citation
Incentives in Private Collaborative Machine Learning ↗Rachael Hwee Ling Sim, Yehong Zhang, Nghia Hoang et al.1 citation
Individual Arbitrariness and Group Fairness ↗Carol Xuan Long, Hsiang Hsu, Wael Alghamdi et al.1 citation
Inferring the Future by Imagining the Past ↗Kartik Chandra, Tony Chen, Tzu-Mao Li et al.1 citation
Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI ↗Aditya Chattopadhyay, Ryan Pilgrim, Rene Vidal1 citation
Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks ↗Jiayuan Ye, Zhenyu Zhu, Fanghui Liu et al.1 citation
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization ↗Ruijia Wang, Yiwu Sun, Yujie Luo et al.1 citation
Instructing Goal-Conditioned Reinforcement Learning Agents with Temporal Logic Objectives ↗Wenjie Qiu, Wensen Mao, He Zhu1 citation
Interpretable Graph Networks Formulate Universal Algebra Conjectures ↗Francesco Giannini, Stefano Fioravanti, Oguzhan Keskin et al.1 citation
Into the Single Cell Multiverse: an End-to-End Dataset for Procedural Knowledge Extraction in Biomedical Texts ↗Ruth Dannenfelser, Jeffrey Zhong, Ran Zhang et al.1 citation
Iteratively Learn Diverse Strategies with State Distance Information ↗Wei Fu, Weihua Du, Jingwei Li et al.1 citation
Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition ↗Duo Peng, Li Xu, Qiuhong Ke et al.1 citation
Joint processing of linguistic properties in brains and language models ↗Subba Reddy Oota, Manish Gupta, Mariya Toneva1 citation
Kernelized Reinforcement Learning with Order Optimal Regret Bounds ↗Sattar Vakili, Julia Olkhovskaya1 citation
LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings ↗Xiang (Lorraine) Li, Siqiang Luo, Xiang Yuan Li et al.1 citation
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction ↗Di Liu, Anastasis Stathopoulos, Qilong Zhangli et al.1 citation
Labeling Neural Representations with Inverse Recognition ↗Kirill Bykov, Laura Kopf, 伸一中島 et al.1 citation
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite ↗Artur P. Toshev, Gianluca Galletti, Fabian Fritz et al.1 citation
Language Semantic Graph Guided Data-Efficient Learning ↗Wenxuan Ma, Shuang Li, Lincan Cai et al.1 citation
Learning Curves for Deep Structured Gaussian Feature Models ↗Jacob A. Zavatone-Veth, Cengiz Pehlevan1 citation
Learning Cuts via Enumeration Oracles ↗Daniel Thuerck, Boro Sofranac, Marc E. Pfetsch et al.1 citation
Learning Descriptive Image Captioning via Semipermeable Maximum Likelihood Estimation ↗Zihao Yue, Anwen Hu, Liang Zhang et al.1 citation
Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning ↗Fan Feng, Sara Magliacane1 citation
Learning Human Action Recognition Representations Without Real Humans ↗Huanqi Zhong, Samarth Mishra, Donghyun Kim et al.1 citation
Learning Large Graph Property Prediction via Graph Segment Training ↗Kaidi Cao, Mangpo Phothilimthana, Sami Abu-El-Haija et al.1 citation
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors ↗Pengchong Hu, Zhizhong Han1 citation
Learning Nonparametric Latent Causal Graphs with Unknown Interventions ↗Yibo Jiang, Bryon Aragam1 citation
Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution ↗Xiaotong Luo, Yuan Xie, Yanyun Qu1 citation

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📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers