NeurIPS 2023: all accepted papers

3,540 papers · page 28 of 36 · the most cited first · ← NeurIPS 2023

Small batch deep reinforcement learning ↗Johan Obando-Ceron, Marc G. Bellemare, Pablo Samuel Castro1 citation
Smoothed Analysis of Sequential Probability Assignment ↗Alankrita Bhatt, Nika Haghtalab, Abhishek Shetty1 citation
Social Motion Prediction with Cognitive Hierarchies ↗Wentao Zhu, Jason Qin, Yuke Lou et al.1 citation
Softmax Output Approximation for Activation Memory-Efficient Training of Attention-based Networks ↗Changhyeon Lee, Seulki Lee1 citation
Sounding Bodies: Modeling 3D Spatial Sound of Humans Using Body Pose and Audio ↗Xudong Xu, Dejan Marković, Jacob Sandakly et al.1 citation
Spatio-Angular Convolutions for Super-resolution in Diffusion MRI ↗Matthew Lyon, Paul Armitage, Mauricio A. Álvarez1 citation
Spectral Evolution and Invariance in Linear-width Neural Networks ↗Zhichao Wang, Andrew Engel, Anand D. Sarwate et al.1 citation
Stability Guarantees for Feature Attributions with Multiplicative Smoothing ↗Anton Xue, Rajeev Alur, Eric Wong1 citation
Stabilized Neural Differential Equations for Learning Dynamics with Explicit Constraints ↗Alistair White, Niki Kilbertus, Maximilian Gelbrecht et al.1 citation
Star-Shaped Denoising Diffusion Probabilistic Models ↗Andrey Okhotin, Dmitry Molchanov, A Vetrov Vladimir et al.1 citation
Statistical Guarantees for Variational Autoencoders using PAC-Bayesian Theory ↗Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain1 citation
Stochastic Collapse: How Gradient Noise Attracts SGD Dynamics Towards Simpler Subnetworks ↗Feng Chen, Daniel Kunin, Atsushi Yamamura et al.1 citation
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization ↗Emanuele Bugliarello, H. Hernan Moraldo, Ruben Villegas et al.1 citation
Strategic Distribution Shift of Interacting Agents via Coupled Gradient Flows ↗Lauren Conger, Franca Hoffmann, Eric Mazumdar et al.1 citation
StreamNet: Memory-Efficient Streaming Tiny Deep Learning Inference on the Microcontroller ↗Hong-Sheng Zheng, Yu-Yuan Liu, Chen-Fong Hsu et al.1 citation
Streaming Algorithms and Lower Bounds for Estimating Correlation Clustering Cost ↗Sepehr Assadi, Vihan Shah, Chen Wang1 citation
Structure from Duplicates: Neural Inverse Graphics from a Pile of Objects ↗Tianhang Cheng, Wei-Chiu Ma, Kaiyu Guan et al.1 citation
Structured Prediction with Stronger Consistency Guarantees ↗Anqi Mao, Mehryar Mohri, Yutao Zhong1 citation
Structured Voronoi Sampling ↗Afra Amini, Li Du, Ryan Cotterell1 citation
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping ↗Yingbin Bai, Bo Han, Erkun Yang et al.1 citation
Survival Instinct in Offline Reinforcement Learning ↗Anqi Li, Dipendra Kumar Misra, Andrey Kolobov et al.1 citation
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration ↗Parikshit Gopalan, Michael Kim, Omer Reingold1 citation
Switching Autoregressive Low-rank Tensor Models ↗Hyun Dong Lee, Andrew Warrington, Joshua Glaser et al.1 citation
SynMob: Creating High-Fidelity Synthetic GPS Trajectory Dataset for Urban Mobility Analysis ↗Yuanshao Zhu, Yongchao Ye, James Yu et al.1 citation
Synthetic-to-Real Pose Estimation with Geometric Reconstruction ↗Qiuxia Lin, Kerui Gu, Linlin Yang et al.1 citation
TD Convergence: An Optimization Perspective ↗Kavosh Asadi, Shoham Sabach, Yao Liu et al.1 citation
TOA: Task-oriented Active VQA ↗Xiaoying Xing, Mingfu Liang, Ying Wu1 citation
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system ↗Suhas Shrinivasan, Konstantin-Klemens Lurz, Kelli Restivo et al.1 citation
Taylor TD-learning ↗Michele Garibbo, Maxime Robeyns, Laurence Aitchison1 citation
Temporal Continual Learning with Prior Compensation for Human Motion Prediction ↗Jianwei Tang, Jiangxin Sun, Xiaotong Lin et al.1 citation
Test-time Training for Matching-based Video Object Segmentation ↗J Bertrand, Giorgos Kordopatis-Zilos, Yannis Kalantidis et al.1 citation
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium ↗Shuyue Hu, Harold Soh, Georgios Piliouras1 citation
The Cambridge Law Corpus: A Corpus for Legal AI Research ↗Andreas Östling, Holli Sargeant, Huiyuan Xie et al.1 citation
The Crucial Role of Normalization in Sharpness-Aware Minimization ↗Yan Dai, Kwangjun Ahn, Suvrit Sra1 citation
The Distortion of Binomial Voting Defies Expectation ↗Yannai A. Gonczarowski, Gregory Kehne, Ariel Procaccia et al.1 citation
The Drunkard’s Odometry: Estimating Camera Motion in Deforming Scenes ↗David Recasens, Martin R. Oswald, Marc Pollefeys et al.1 citation
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data ↗Peter Nickl, Lu Xu, Dharmesh Tailor et al.1 citation
The Quantization Model of Neural Scaling ↗Eric J. Michaud, Ziming Liu, Uzay Girit et al.1 citation
The Rank-Reduced Kalman Filter: Approximate Dynamical-Low-Rank Filtering In High Dimensions ↗Jonathan Schmidt, Philipp Hennig, Jörg Nick et al.1 citation
The Simplicity Bias in Multi-Task RNNs: Shared Attractors, Reuse of Dynamics, and Geometric Representation ↗Elia Turner, Omri Barak1 citation
The Target-Charging Technique for Privacy Analysis across Interactive Computations ↗Edith Cohen, Xin Lyu1 citation
The Tunnel Effect: Building Data Representations in Deep Neural Networks ↗Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani et al.1 citation
The noise level in linear regression with dependent data ↗Ingvar Ziemann, Stephen Tu, George J. Pappas et al.1 citation
Thin and deep Gaussian processes ↗Daniel Augusto de Souza, Alexander Nikitin, St John et al.1 citation
Tight Bounds for Volumetric Spanners and Applications ↗Aditya Bhaskara, Sepideh Mahabadi, Ali Vakilian1 citation
Tight Risk Bounds for Gradient Descent on Separable Data ↗Matan Schliserman, Tomer Koren1 citation
Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification ↗Qiang Ding, Yixuan Cao, Ping Luo1 citation
TopP&R: Robust Support Estimation Approach for Evaluating Fidelity and Diversity in Generative Models ↗Pum Jun Kim, Yoojin Jang, Jisu Kim et al.1 citation
TopoSRL: Topology preserving self-supervised Simplicial Representation Learning ↗Hiren Madhu, Sundeep Prabhakar Chepuri1 citation
Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms ↗Sijia Zhou, Yunwen Lei, Ata Kabán1 citation
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression ↗Jing Xu, Jiaye Teng, Yang Yuan et al.1 citation
Towards Efficient Pre-Trained Language Model via Feature Correlation Distillation ↗Kun Huang, Xin Guo, Meng Wang1 citation
Towards Optimal Caching and Model Selection for Large Model Inference ↗Banghua Zhu, Ying Sheng, Lianmin Zheng et al.1 citation
Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities ↗Dongrui Liu, Huiqi Deng, Xu Cheng et al.1 citation
TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs ↗Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao et al.1 citation
Trade-off Between Efficiency and Consistency for Removal-based Explanations ↗Yifan Zhang, Haowei He, Zhiquan Tan et al.1 citation
Training Energy-Based Normalizing Flow with Score-Matching Objectives ↗Chen-Hao Chao, Wei-Fang Sun, Yen-Chang Hsu et al.1 citation
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings ↗John Falk, Luigi Bonati, Pietro Novelli et al.1 citation
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks ↗Andong Wang, Chao Li, Mingyuan Bai et al.1 citation
Transformer as a hippocampal memory consolidation model based on NMDAR-inspired nonlinearity ↗Dong Kyum Kim, Jea Kwon, Meeyoung Cha et al.1 citation
Transition-constant Normalization for Image Enhancement ↗Jie Huang, Man Zhou, Jinghao Zhang et al.1 citation
Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms ↗Kai Han, You Wu, He Huang et al.1 citation
Truly Scale-Equivariant Deep Nets with Fourier Layers ↗Md Ashiqur Rahman, Raymond A. Yeh1 citation
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints ↗Xinyi Hu, Jasper Lee, Jimmy Lee1 citation
UDC-SIT: A Real-World Dataset for Under-Display Cameras ↗Kyusu Ahn, Byeonghyun Ko, HyunGyu Lee et al.1 citation
Unbiased constrained sampling with Self-Concordant Barrier Hamiltonian Monte Carlo ↗Maxence Noble, Valentin De Bortoli, Alain Durmus1 citation
Uncovering motifs of concurrent signaling across multiple neuronal populations ↗Evren Gokcen, Anna I. Jasper, Alison Xu et al.1 citation
Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks ↗Mingze Wang, Chao Ma1 citation
Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers ↗Yiwei Lu, Yaoliang Yu, Xinlin Li et al.1 citation
Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning ↗Hongyu Zang, Xin Li, Leiji Zhang et al.1 citation
Understanding, Predicting and Better Resolving Q-Value Divergence in Offline-RL ↗Yang Yue, Rui Lu, Bingyi Kang et al.1 citation
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent ↗Lingjiong Zhu, Mert Gürbüzbalaban, Anant Raj et al.1 citation
User-Level Differential Privacy With Few Examples Per User ↗Badih Ghazi, Pritish Kamath, Ravi Ranjan Kumar et al.1 citation
Utilitarian Algorithm Configuration ↗Devon R. Graham, Kevin Leyton‐Brown, Tim Roughgarden1 citation
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens ↗Zhanpeng Zeng, Cole Hawkins, Mingyi Hong et al.1 citation
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning ↗Jiayi Guan, Guang Chen, Jiaming Ji et al.1 citation
Validated Image Caption Rating Dataset ↗Lothar D Narins, Andrew Scott, Aakash Gautam et al.1 citation
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies ↗Oscar Li, James Harrison, Jascha Sohl‐Dickstein et al.1 citation
Variational Annealing on Graphs for Combinatorial Optimization ↗Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter et al.1 citation
Variational Gaussian processes for linear inverse problems ↗Thibault Randrianarisoa, Botond Szabó1 citation
Variational Inference with Gaussian Score Matching ↗Chirag Modi, Robert M. Gower, Charles C. Margossian et al.1 citation
Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements ↗Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava1 citation
VoxDet: Voxel Learning for Novel Instance Detection ↗Bowen Li, Jiashun Wang, Yaoyu Hu et al.1 citation
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning ↗Siliang Zeng, Chenliang Li, Alfredo Garcia et al.1 citation
Which Models have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness ↗Suraj Srinivas, Sebastian Bordt, Himabindu Lakkaraju1 citation
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models ↗Chirag Raman, Alec Nonnemaker, Amelia Villegas-Morcillo et al.1 citation
Window-Based Distribution Shift Detection for Deep Neural Networks ↗Guy Bar-Shalom, Yonatan Geifman, Ran El‐Yaniv1 citation
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model ↗Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong et al.1 citation
WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data ↗Maurice Weber, Carlo Siebenschuh, Rory Butler et al.1 citation
Would I have gotten that reward? Long-term credit assignment by counterfactual contribution analysis ↗Alexander Meulemans, Simon Schug, Seijin Kobayashi et al.1 citation
Zero-Regret Performative Prediction Under Inequality Constraints ↗Wenjing Yan, Xuanyu Cao1 citation
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria ↗Fivos Kalogiannis, Ioannis Panageas1 citation
f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences ↗Siddhant Agarwal, Ishan Durugkar, Peter Stone et al.1 citation
(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy ↗Elan Rosenfeld, Saurabh Garg
2Direction: Theoretically Faster Distributed Training with Bidirectional Communication Compression ↗Alexander Tyurin, Peter Richtárik
3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes ↗Haotian Xue, Antonio B. Torralba, Joshua B. Tenenbaum et al.
A Batch-to-Online Transformation under Random-Order Model ↗Jing Dong, Yuichi Yoshida
A Competitive Algorithm for Agnostic Active Learning ↗Yihan Zhou, Eric Price
A Comprehensive Benchmark for Neural Human Radiance Fields ↗Kenkun Liu, Derong Jin, Ailing Zeng et al.
A Computation and Communication Efficient Method for Distributed Nonconvex Problems in the Partial Participation Setting ↗Alexander Tyurin, Peter Richtárik

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📰 NeurIPS 2023: all accepted papers

NeurIPS 2023: all accepted papers