NeurIPS 2023: all accepted papers

3,540 papers · page 26 of 36 · the most cited first · ← NeurIPS 2023

Learning Time-Invariant Representations for Individual Neurons from Population Dynamics ↗Lu Mi, Trung Hiếu Lê, Tianxing He et al.1 citation
Learning Trajectories are Generalization Indicators ↗Jingwen Fu, Zhizheng Zhang, Dacheng Yin et al.1 citation
Learning in the Presence of Low-dimensional Structure: A Spiked Random Matrix Perspective ↗Jimmy Lei Ba, Murat A. Erdogdu, Taiji Suzuki et al.1 citation
Learning threshold neurons via edge of stability ↗Kwangjun Ahn, Sebastien Bubeck, Sinho Chewi et al.1 citation
Learning to Group Auxiliary Datasets for Molecule ↗Tinglin Huang, Tinglin Huang, Rex Ying1 citation
Leveraging the two-timescale regime to demonstrate convergence of neural networks ↗Pierre Marion, Raphaël Berthier1 citation
Likelihood Ratio Confidence Sets for Sequential Decision Making ↗Nicolas Emmenegger, Mojmír Mutný, Andreas Krause1 citation
Localized Symbolic Knowledge Distillation for Visual Commonsense Models ↗Jae Sung Park, Jack Hessel, Khyathi Chandu et al.1 citation
Low Tensor Rank Learning of Neural Dynamics ↗Arthur Pellegrino, N. Alex Cayco-Gajic, Angus Chadwick1 citation
Low-shot Object Learning with Mutual Exclusivity Bias ↗Anh Thai, Ahmad Humayun, Stefan Stojanov et al.1 citation
LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation ↗Jiajun Tang, Haofeng Zhong, Shuchen Weng et al.1 citation
MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers ↗Yu bao Zhang, Yepeng Liu, Duoqian Miao et al.1 citation
MIM4DD: Mutual Information Maximization for Dataset Distillation ↗Yuzhang Shang, Yan Yan, Yan Yan1 citation
MIMEx: Intrinsic Rewards from Masked Input Modeling ↗Toru Lin, Allan Jabri1 citation
MLFMF: Data Sets for Machine Learning for Mathematical Formalization ↗Andrej Bauer, Matej Petković, Ljupčo Todorovski1 citation
MMD-Fuse: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting ↗Felix Biggs, Antonin Schrab, Arthur Gretton1 citation
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits ↗Muhammad Faaiz Taufiq, Arnaud Doucet B, Rob Cornish et al.1 citation
Markovian Sliced Wasserstein Distances: Beyond Independent Projections ↗Khai Nguyen, Tongzheng Ren, Nhat Ho1 citation
Maximization of Average Precision for Deep Learning with Adversarial Ranking Robustness ↗Gang Li, Wei Tong, Tianbao Yang1 citation
Maximum State Entropy Exploration using Predecessor and Successor Representations ↗Arnav Jain, Lucas Lehnert, Irina Rish et al.1 citation
MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy ↗Honghua Dong, Jiawei Xu, Yu Yang et al.1 citation
Mechanic: A Learning Rate Tuner ↗Ashok Cutkosky, Aaron Defazio, Harsh Mehta1 citation
Minimum norm interpolation by perceptra: Explicit regularization and implicit bias ↗Jiyoung Park, Ian Pelakh, Stephan Wojtowytsch1 citation
Minimum-Risk Recalibration of Classifiers ↗Zeyu Sun, Dogyoon Song, Alfred O. Hero1 citation
Mixed-Initiative Multiagent Apprenticeship Learning for Human Training of Robot Teams ↗Esmaeil Seraj, Jerry Xiong, Mariah Schrum et al.1 citation
Mixture Weight Estimation and Model Prediction in Multi-source Multi-target Domain Adaptation ↗Yuyang Deng, Ilja Kuzborskij, Mehrdad Mahdavi1 citation
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM ↗Ziba Parsons, Fei Dou, Houyi Du et al.1 citation
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder ↗Huiwon Jang, Jihoon Tack, Daewon Choi et al.1 citation
Mode Connectivity in Auction Design ↗Christoph Hertrich, Yixin Tao, László A. Végh1 citation
Modeling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network ↗Zitang Sun, Yen-Ju Chen, Yung‐Hao Yang et al.1 citation
Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity ↗Weichao Mao, Haoran Qiu, Chen Wang et al.1 citation
Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations ↗Guanren Qiao, Guiliang Liu, Pascal Poupart et al.1 citation
Multi-Swap k-Means++ ↗Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi et al.1 citation
Multiplication-Free Transformer Training via Piecewise Affine Operations ↗Atli Kosson, Martin Jaggi1 citation
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning ↗Pier Giuseppe Sessa, Pierre Laforgue, Nicolò Cesa-Bianchi et al.1 citation
Mutual Information Regularized Offline Reinforcement Learning ↗Xiao Ma, Bingyi Kang, Zhongwen Xu et al.1 citation
NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning ↗Yun Yi, Haokui Zhang, Rong Xiao et al.1 citation
NICE: NoIse-modulated Consistency rEgularization for Data-Efficient GANs ↗Yao Ni, Piotr Koniusz1 citation
NeRF-IBVS: Visual Servo Based on NeRF for Visual Localization and Navigation ↗Yuanze Wang, Yichao Yan, Dianxi Shi et al.1 citation
Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression ↗Ilias Diakonikolas, Daniel M. Kane, Ankit Pensia et al.1 citation
Near-optimal learning with average Hölder smoothness ↗Guy Kornowski, Steve Hanneke, Aryeh Kontorovich1 citation
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives ↗Yahong Yang, Haizhao Yang, Yang Xiang1 citation
Neural Algorithmic Reasoning Without Intermediate Supervision ↗Gleb Rodionov, Liudmila Prokhorenkova1 citation
Neural Fields with Hard Constraints of Arbitrary Differential Order ↗Fangcheng Zhong, Kyle Fogarty, Param Hanji et al.1 citation
Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes ↗Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri et al.1 citation
Neural Image Compression: Generalization, Robustness, and Spectral Biases ↗Kelsey Lieberman, James Diffenderfer, Charles Godfrey et al.1 citation
Neural Latent Geometry Search: Product Manifold Inference via Gromov-Hausdorff-Informed Bayesian Optimization ↗Haitz Sáez de Ocáriz Borde, Álvaro Arroyo, Ismael Morales et al.1 citation
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning ↗Joseph Suárez, David Bloomin, Kyoung Whan Choe et al.1 citation
Neural Modulation for Flash Memory: An Unsupervised Learning Framework for Improved Reliability ↗Jonathan Zedaka, Elisha Halperin, Evgeny Blaichman et al.1 citation
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement ↗Jinbiao Chen, Zizhen Zhang, Zhiguang Cao et al.1 citation
Newton–Cotes Graph Neural Networks: On the Time Evolution of Dynamic Systems ↗Lingbing Guo, Weiqing Wang, Zhuo Chen et al.1 citation
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning ↗Zixing Song, Yifei Zhang, Irwin King1 citation
No-Regret Learning with Unbounded Losses: The Case of Logarithmic Pooling ↗Eric Neyman, Tim Roughgarden1 citation
No-Regret Online Prediction with Strategic Experts ↗Omid Sadeghi, Maryam Fazel1 citation
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions ↗Tiancheng Jin, Junyan Liu, Chloé Rouyer et al.1 citation
No-regret Algorithms for Fair Resource Allocation ↗Abhishek Sinha, Ativ Joshi, Rajarshi Bhattacharjee et al.1 citation
Noise-Adaptive Thompson Sampling for Linear Contextual Bandits ↗Ruitu Xu, Yifei Min, Tianhao Wang1 citation
Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization ↗Quanqi Hu, Dixian Zhu, Tianbao Yang1 citation
Non-Stationary Bandits with Auto-Regressive Temporal Dependency ↗Qinyi Chen, Negin Golrezaei, Djallel Bouneffouf1 citation
Non-adversarial training of Neural SDEs with signature kernel scores ↗Zacharia Issa, Blanka N. Horvath, Maud Lemercier et al.1 citation
Non-stationary Experimental Design under Linear Trends ↗David Simchi‐Levi, Chonghuan Wang, Zeyu Zheng1 citation
Norm-based Generalization Bounds for Sparse Neural Networks ↗Tomer Galanti, Mengjia Xu, Liane Galanti et al.1 citation
OKRidge: Scalable Optimal k-Sparse Ridge Regression ↗Jiachang Liu, Sam Rosen, Chudi Zhong et al.1 citation
Object-centric Learning with Cyclic Walks between Parts and Whole ↗Ziyu Wang, Mike Zheng Shou, Mengmi Zhang1 citation
Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management ↗Dhawal Gupta, Yinlam Chow, Azamat Tulepbergenov et al.1 citation
On Class Distributions Induced by Nearest Neighbor Graphs for Node Classification of Tabular Data ↗Federico Errica1 citation
On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes ↗Jia Lin Hau, Erick Delage, Mohammad Ghavamzadeh et al.1 citation
On Imitation in Mean-field Games ↗Giorgia Ramponi, Pavel Kolev, Olivier Pietquin et al.1 citation
On Masked Pre-training and the Marginal Likelihood ↗Pablo Moreno-Muñoz, Pol G. Recasens, Søren Hauberg1 citation
On Measuring Fairness in Generative Models ↗Christopher T. H. Teo, Milad Abdollahzadeh, Ngai‐Man Cheung1 citation
On Robust Streaming for Learning with Experts: Algorithms and Lower Bounds ↗David P. Woodruff, Fred Zhang, Samson Zhou1 citation
On Separate Normalization in Self-supervised Transformers ↗Xiaohui Chen, Yinkai Wang, Yuanqi Du et al.1 citation
On Sparse Modern Hopfield Model ↗Jerry Yao-Chieh Hu, Donglin Yang, Dennis Wu et al.1 citation
On the Convergence of Encoder-only Shallow Transformers ↗Yongtao Wu, Fanghui Liu, Grigorios G. Chrysos et al.1 citation
On the Convergence to a Global Solution of Shuffling-Type Gradient Algorithms ↗Lam Nguyen, Trang H. Tran1 citation
On the Gini-impurity Preservation For Privacy Random Forests ↗Xinran Xie, Man-Jie Yuan, Xuetong Bai et al.1 citation
On the Relationship Between Relevance and Conflict in Online Social Link Recommendations ↗Yanbang Wang, Jon M. Kleinberg1 citation
On the Role of Randomization in Adversarially Robust Classification ↗Lucas Gnecco Heredia, Muni Sreenivas Pydi, Laurent Meunier et al.1 citation
On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making ↗Prateek Jaiswal, Harsha Honnappa, Vinayak Rao1 citation
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective ↗Mathieu Serrurier, Franck Mamalet, Thomas Fel et al.1 citation
On-the-Fly Adapting Code Summarization on Trainable Cost-Effective Language Models ↗Yufan Cai, Yun Lin, Chenyan Liu et al.1 citation
Online Adaptive Policy Selection in Time-Varying Systems: No-Regret via Contractive Perturbations ↗Yiheng Lin, James A. Preiss, Emile Anand et al.1 citation
Online Corrupted User Detection and Regret Minimization ↗Zhiyong Wang, Jize Xie, Tong Yu et al.1 citation
Online Inventory Problems: Beyond the i.i.d. Setting with Online Convex Optimization ↗Massil Hihat, Stéphane Gaïffas, Guillaume Garrigos et al.1 citation
Online robust non-stationary estimation ↗Abishek Sankararaman, Balakrishnan Narayanaswamy1 citation
Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation ↗Tingliang Feng, Hao Shi, Di Lin et al.1 citation
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting ↗Hejie Cui, Xinyu Fang, Zihan Zhang et al.1 citation
Optimal Algorithms for the Inhomogeneous Spiked Wigner Model ↗Aleksandr Pak, Justin Ko, Florent Krząkała1 citation
Optimal Exploration for Model-Based RL in Nonlinear Systems ↗Andrew Wagenmaker, Guanya Shi, Kevin Jamieson1 citation
Optimal Guarantees for Algorithmic Reproducibility and Gradient Complexity in Convex Optimization ↗Liang Zhang, Junchi Yang, Amin Karbasi et al.1 citation
Optimal Learners for Realizable Regression: PAC Learning and Online Learning ↗Idan Attias, Steve Hanneke, Alkis Kalavasis et al.1 citation
Optimal Time Complexities of Parallel Stochastic Optimization Methods Under a Fixed Computation Model ↗Alexander Tyurin, Peter Richtárik1 citation
Optimal Unbiased Randomizers for Regression with Label Differential Privacy ↗Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath et al.1 citation
Optimal testing using combined test statistics across independent studies ↗Lasse Vuursteen, Botond Szabó, Aad van der Vaart et al.1 citation
Optimality of Message-Passing Architectures for Sparse Graphs ↗Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath1 citation
Optimistic Active Exploration of Dynamical Systems ↗Bhavya Sukhija, Lenart Treven, Cansu Sancaktar et al.1 citation
Optimistic Natural Policy Gradient: a Simple Efficient Policy Optimization Framework for Online RL ↗Qinghua Liu, Gellért Weisz, András György et al.1 citation
Optimized Covariance Design for AB Test on Social Network under Interference ↗Qianyi Chen, Bo Li, Lu Deng et al.1 citation
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning ↗Dami Choi, Derrick Xin, Hamid Dadkhahi et al.1 citation
PAC Learning Linear Thresholds from Label Proportions ↗Anand Brahmbhatt, Rishi Saket, Aravindan Raghuveer1 citation

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📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers