NeurIPS 2023: all accepted papers

3,540 papers · page 27 of 36 · the most cited first · ← NeurIPS 2023

PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction ↗Apoorva Sharma, Sushant Veer, Asher J. Hancock et al.1 citation
PETAL: Physics Emulation Through Averaged Linearizations for Solving Inverse Problems ↗Jihui Jin, Etienne Ollivier, Richard X. Touret et al.1 citation
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification ↗Qianli Shen, Wai Hoh Tang, Zhun Deng et al.1 citation
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks ↗Ian Char, Jeff Schneider1 citation
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning ↗Hojoon Lee, Jaegul Choo, Hyunseung Kim et al.1 citation
POMDP Planning for Object Search in Partially Unknown Environment ↗Yongbo Chen, Hanna Kurniawati1 citation
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection ↗Zhizhang Yuan, Daoze Zhang, Yang Yang et al.1 citation
PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds ↗Hao Yang, Haiyang Wang, Di Dai et al.1 citation
Parallel Submodular Function Minimization ↗Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang et al.1 citation
Particle-based Variational Inference with Generalized Wasserstein Gradient Flow ↗Ziheng Cheng, Shiyue Zhang, Longlin Yu et al.1 citation
Penalising the biases in norm regularisation enforces sparsity ↗Étienne Boursier, Nicolas Flammarion1 citation
Performance Scaling via Optimal Transport: Enabling Data Selection from Partially Revealed Sources ↗Feiyang Kang, Hoang Anh Just, Anit Kumar Sahu et al.1 citation
Personalized Dictionary Learning for Heterogeneous Datasets ↗Geyu Liang, Naichen Shi, Raed Al Kontar et al.1 citation
Phase diagram of early training dynamics in deep neural networks: effect of the learning rate, depth, and width ↗Dayal Singh Kalra, Maissam Barkeshli1 citation
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation ↗Ruiyuan Kang, Tingting Mu, Panos Liatsis et al.1 citation
PlanE: Representation Learning over Planar Graphs ↗Radoslav Dimitrov, Zeyang Zhao, Ralph Abboud et al.1 citation
PoET: A generative model of protein families as sequences-of-sequences ↗Timothy F. Truong, Tristan Bepler1 citation
Polynomially Over-Parameterized Convolutional Neural Networks Contain Structured Strong Winning Lottery Tickets ↗Arthur Da Cunha, Francesco d’Amore, Natale Natale1 citation
PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones ↗Thad E. Starner, Sean Alan Forbes, Matthew So et al.1 citation
Post Hoc Explanations of Language Models Can Improve Language Models ↗Satyapriya Krishna, Jiaqi Ma, Dylan Slack et al.1 citation
Post-processing Private Synthetic Data for Improving Utility on Selected Measures ↗Hao Wang, Shivchander Sudalairaj, John Henning et al.1 citation
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation ↗Nikki Lijing Kuang, Ming Yin, Mengdi Wang et al.1 citation
Practical Equivariances via Relational Conditional Neural Processes ↗Daolang Huang, Manuel Haußmann, Ulpu Remes et al.1 citation
Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima ↗Dongkuk Si, Chulhee Yun1 citation
Precise asymptotic generalization for multiclass classification with overparameterized linear models ↗David Wu, Anant Sahai1 citation
Prediction and Control in Continual Reinforcement Learning ↗Nishanth Anand, Doina Precup1 citation
Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation ↗Yingyi Chen, Qinghua Tao, Francesco Tonin et al.1 citation
Principled Weight Initialisation for Input-Convex Neural Networks ↗Pieter-Jan Hoedt, Gnter Klambauer1 citation
Private Distribution Learning with Public Data: The View from Sample Compression ↗Shai Ben-David, Alex Bie, Clément L. Canonne et al.1 citation
Private Everlasting Prediction ↗Moni Naor, Kobbi Nissim B, Uri Stemmer et al.1 citation
Probabilistic Exponential Integrators ↗Nathanael Bosch, Philipp Hennig, Filip Tronarp1 citation
Probabilistic Inference in Reinforcement Learning Done Right ↗Jean Tarbouriech, Tor Lattimore, Brendan O’Donoghue1 citation
Probabilistic Weight Fixing: Large-scale training of neural network weight uncertainties for quantisation. ↗Christopher Subia-Waud, Srinandan Dasmahapatra1 citation
Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems ↗Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh1 citation
Projection-Free Methods for Stochastic Simple Bilevel Optimization with Convex Lower-level Problem ↗Jincheng Cao, Ruichen Jiang, Nazanin Abolfazli et al.1 citation
Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization ↗Sanath Kumar Krishnamurthy, Ruohan Zhan, Susan Carleton Athey et al.1 citation
Prototypical Variational Autoencoder for 3D Few-shot Object Detection ↗Weiliang Tang, Biqi Yang, Xianzhi Li et al.1 citation
Provable Guarantees for Neural Networks via Gradient Feature Learning ↗Zhenmei Shi, Junyi Wei, Yingyu Liang1 citation
Provable benefits of annealing for estimating normalizing constants: Importance Sampling, Noise-Contrastive Estimation, and beyond ↗Omar Chehab, Aapo Hyvärinen, Andrej Risteski1 citation
Provably Efficient Algorithm for Nonstationary Low-Rank MDPs ↗Yuan Cheng, Jing Yang, Yingbin Liang1 citation
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation ↗Aniket Das, Anant Raj1 citation
Pseudo-Likelihood Inference ↗Theo Gruner, Boris Belousov, Fabio Muratore et al.1 citation
Public Opinion Field Effect Fusion in Representation Learning for Trending Topics Diffusion ↗Junliang Li, Yang Yajun, Qinghua Hu et al.1 citation
Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models ↗Wenqiang Wang, Chongyang Du, Tao Wang et al.1 citation
Puzzlefusion: Unleashing the Power of Diffusion Models for Spatial Puzzle Solving ↗Sepidehsadat (Sepid) Hossieni, Mohammad Amin Shabani, Saghar Irandoust et al.1 citation
Q-DM: An Efficient Low-bit Quantized Diffusion Model ↗Yanjing Li, Sheng Xu, Xianbin Cao et al.1 citation
QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules ↗Haiyang Yu, Meng Liu, Youzhi Luo et al.1 citation
QuACK: Accelerating Gradient-Based Quantum Optimization with Koopman Operator Learning ↗Di Luo, Jiayu Shen, Rumen Dangovski et al.1 citation
Quantifying the Cost of Learning in Queueing Systems ↗Daniel Freund, Thodoris Lykouris, Wentao Weng1 citation
Quantum speedups for stochastic optimization ↗Aaron Sidford, Chenyi Zhang1 citation
RD-Suite: A Benchmark for Ranking Distillation ↗Zhen Qin, Rolf Jagerman, Rama Kumar Pasumarthi et al.1 citation
RGMIL: Guide Your Multiple-Instance Learning Model with Regressor ↗Zhaolong Du, Shasha Mao, Yimeng Zhang et al.1 citation
RVD: A Handheld Device-Based Fundus Video Dataset for Retinal Vessel Segmentation ↗Md Wahiduzzaman Khan, Hongwei Sheng, Hu Zhang et al.1 citation
Rank-1 Matrix Completion with Gradient Descent and Small Random Initialization ↗Daesung Kim, Hye Won Chung1 citation
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints ↗Anikait Singh, Aviral Kumar, Quan Vuong et al.1 citation
Recasting Continual Learning as Sequence Modeling ↗Soochan Lee, Jaehyeon Son, Gunhee Kim1 citation
Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle ↗Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang1 citation
Red Teaming Deep Neural Networks with Feature Synthesis Tools ↗Stephen Casper, Tong Bu, Yuxiao Li et al.1 citation
Reduced Policy Optimization for Continuous Control with Hard Constraints ↗Shutong Ding, Jingya Wang, Yali Du et al.1 citation
Reference-Based POMDPs ↗Edward Kim, Yohan Karunanayake, Hanna Kurniawati1 citation
Regret Matching+: (In)Stability and Fast Convergence in Games ↗Gabriele Farina, Julien Grand-Clément, Christian Kroer et al.1 citation
Regularity as Intrinsic Reward for Free Play ↗Cansu Sancaktar, Justus Piater, Georg Martius1 citation
Regularization properties of adversarially-trained linear regression ↗Antonio Ribeiro, Dave Zachariah, Francis Bach et al.1 citation
Reining Generalization in Offline Reinforcement Learning via Representation Distinction ↗Yi Ma, Hongyao Tang, Dong Li et al.1 citation
Replicable Reinforcement Learning ↗Eric Eaton, Marcel Hussing, Michael J. Kearns et al.1 citation
Reproducibility in Multiple Instance Learning: A Case For Algorithmic Unit Tests ↗Edward Raff, James Holt1 citation
Resilient Constrained Learning ↗Ignacio Hounie, Alejandro Ribeiro, Luiz F. O. Chamon1 citation
Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis ↗Victor Letzelter, Mathieu Fontaine, Mickaël Chen et al.1 citation
Responsible AI (RAI) Games and Ensembles ↗Yash Gupta, Runtian Zhai, Arun Sai Suggala et al.1 citation
Rethinking Conditional Diffusion Sampling with Progressive Guidance ↗Anh-Dung Dinh, Daochang Liu, Chang Xu1 citation
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition ↗Divin Yan, Gengchen Wei, Chen Yang et al.1 citation
Reusable Slotwise Mechanisms ↗Trang Nguyen, Amin Mansouri, Kanika Madan et al.1 citation
Reversible and irreversible bracket-based dynamics for deep graph neural networks ↗Anthony Gruber, Kookjin Lee, Nathaniel Trask1 citation
Revisiting Implicit Differentiation for Learning Problems in Optimal Control ↗Ming Xu, Timothy L. Molloy, Stephen Gould1 citation
Rewiring Neurons in Non-Stationary Environments ↗Zhicheng Sun, Yadong Mu1 citation
Riemannian Projection-free Online Learning ↗Zihao Hu, Guanghui Wang, Jacob Abernethy1 citation
Riemannian stochastic optimization methods avoid strict saddle points ↗Ya-Ping Hsieh, Mohammad Reza Karimi Jaghargh, Andreas Krause et al.1 citation
Risk-Averse Model Uncertainty for Distributionally Robust Safe Reinforcement Learning ↗James Queeney, Mouhacine Benosman1 citation
Robust Bayesian Satisficing ↗Artun Saday, Y. Cahit Yildirim, Cem Tekin1 citation
Robust Learning for Smoothed Online Convex Optimization with Feedback Delay ↗Pengfei Li, Jianyi Yang, Adam Wierman et al.1 citation
Robust Lipschitz Bandits to Adversarial Corruptions ↗Yue Kang, Cho‐Jui Hsieh, Thomas C. M. Lee1 citation
Robust Matrix Sensing in the Semi-Random Model ↗Xing Gao, Yu Cheng1 citation
Robust Mean Estimation Without Moments for Symmetric Distributions ↗Gleb Novikov, David Steurer, Stefan Tiegel1 citation
Rubik's Cube: High-Order Channel Interactions with a Hierarchical Receptive Field ↗Naishan Zheng, Man Zhou, Chong Zhou et al.1 citation
SE(3) Equivariant Convolution and Transformer in Ray Space ↗Yinshuang Xu, Jiahui Lei, Kostas Daniilidis1 citation
SLIBO-Net: Floorplan Reconstruction via Slicing Box Representation with Local Geometry Regularization ↗Jheng-Wei Su, Kuei-Yu Tung, Chi‐Han Peng et al.1 citation
SLaM: Student-Label Mixing for Distillation with Unlabeled Examples ↗Vasilis Kontonis, Fotis Iliopoulos, Khoa Trinh et al.1 citation
SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities ↗Hugues Van Assel, Titouan Vayer, Rémi Flamary et al.1 citation
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics ↗Atul Kumar Sinha, Daniele Paliotta, Bálint Máté et al.1 citation
Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling ↗Zhenyu Zhu, Francesco Locatello, Volkan Cevher1 citation
Scaling Up Differentially Private LASSO Regularized Logistic Regression via Faster Frank-Wolfe Iterations ↗Edward Raff, Amol Khanna, Fred Lu1 citation
Secure Out-of-Distribution Task Generalization with Energy-Based Models ↗Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz et al.1 citation
Selectively Sharing Experiences Improves Multi-Agent Reinforcement Learning ↗Matthias Gerstgrasser, Tom Danino, Sarah Keren1 citation
Sequential Predictive Two-Sample and Independence Testing ↗Aleksandr Podkopaev, Aaditya Ramdas1 citation
Sharp Calibrated Gaussian Processes ↗Alexandre Capone, Sandra Hirche, Geoff Pleiss1 citation
Simplicity Bias in 1-Hidden Layer Neural Networks ↗Depen Morwani, Jatin Batra, Prateek Jain et al.1 citation
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization ↗Haggai Agmon, Yoram Burak1 citation
SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning ↗Yunxiang Zhang, Xiaojun Wan1 citation
Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training ↗Jian Meng, Li Yang, Kyungmin Lee et al.1 citation
Slow and Weak Attractor Computation Embedded in Fast and Strong E-I Balanced Neural Dynamics ↗Xiaohan Lin, Liyuan Li, Boxin Shi et al.1 citation

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📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers