NeurIPS 2023: all accepted papers
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- Normalization Layers Are All That Sharpness-Aware Minimization Needs ↗Maximilian Mueller, Tiffany Vlaar, David Rolnick et al.3 citations
- Normalizing flow neural networks by JKO scheme ↗Chen Xu, Xiuyuan Cheng, Yao Xie3 citations
- Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts ↗Emanuele Marconato, Stefano Teso, Antonio Vergari et al.3 citations
- Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning ↗Yang Yang, Yuxuan Zhang, Xin Song et al.3 citations
- NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA ↗Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu et al.3 citations
- OceanBench: The Sea Surface Height Edition ↗J. Emmanuel Johnson, Quentin Febvre, Anastasiia Gorbunova et al.3 citations
- Offline Imitation Learning with Variational Counterfactual Reasoning ↗Zexu Sun, Bowei He, Jinxin Liu et al.3 citations
- On Calibrating Diffusion Probabilistic Models ↗Tianyu Pang, Cheng Lu, Chao Du et al.3 citations
- On Learning Latent Models with Multi-Instance Weak Supervision ↗Kaifu Wang, Efthymia Tsamoura, Dan Roth3 citations
- On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes ↗Rajat Modi, Vibhav Vineet, Yogesh Rawat3 citations
- On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis ↗Arghya Datta, Sayak Chakrabarty3 citations
- On the Convergence of CART under Sufficient Impurity Decrease Condition ↗Rahul Mazumder, Haoyue Wang3 citations
- On the Identifiability and Interpretability of Gaussian Process Models ↗Jiawen Chen, Wancen Mu, Yun Li et al.3 citations
- On the Robustness of Removal-Based Feature Attributions ↗Chris Lin, Ian Covert, Su‐In Lee3 citations
- On the Role of Entanglement and Statistics in Learning ↗Srinivasan Arunachalam, Vojtech Havlicek, Louis Schatzki3 citations
- On the choice of Perception Loss Function for Learned Video Compression ↗Sadaf Salehkalaibar, Truong Buu Phan, Jun Chen et al.3 citations
- One-step differentiation of iterative algorithms ↗Jérôme Bolte, Edouard Pauwels, Samuel Vaiter3 citations
- Operation-Level Early Stopping for Robustifying Differentiable NAS ↗Shen Jiang, Zipeng Ji, Guanghui Zhu et al.3 citations
- Outlier-Robust Gromov-Wasserstein for Graph Data ↗Lemin Kong, Jiajin Li, Jianheng Tang et al.3 citations
- PCF-GAN: generating sequential data via the characteristic function of measures on the path space ↗Hang Lou, Siran Li, Hao Ni3 citations
- PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation ↗Yuhan Ding, Fukun Yin, Jiayuan Fan et al.3 citations
- PERFOGRAPH: A Numerical Aware Program Graph Representation for Performance Optimization and Program Analysis ↗Ali TehraniJamsaz, Quazi Ishtiaque Mahmud, Le Chen et al.3 citations
- Pairwise GUI Dataset Construction Between Android Phones and Tablets ↗Han Hu, Haolan Zhan, Yujin Huang et al.3 citations
- Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint ↗Dror Freirich, Tomer Michaeli, Ron Meir3 citations
- Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability ↗Junqi Gao, Biqing Qi, Yao Li et al.3 citations
- Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication ↗Chaofei Fan, Nick V. Hahn, Foram B. Kamdar et al.3 citations
- Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows ↗Alexandre Vérine, Benjamin Négrevergne, Muni Sreenivas Pydi et al.3 citations
- Predicting Global Label Relationship Matrix for Graph Neural Networks under Heterophily ↗Langzhang Liang, Xiangjing Hu, Zenglin Xu et al.3 citations
- PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation ↗Zhaoxi Chen, Fangzhou Hong, Haiyi Mei et al.3 citations
- Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception? ↗Xiaoxiao Sun, Nidham Gazagnadou, Vivek Sharma et al.3 citations
- Private estimation algorithms for stochastic block models and mixture models ↗Hongjie Chen, Vincent Cohen-Addad, Tommaso d'Orsi et al.3 citations
- Progressive Ensemble Distillation: Building Ensembles for Efficient Inference ↗Don Dennis, Abhishek Shetty, Anish Prasad Sevekari et al.3 citations
- Prompt-augmented Temporal Point Process for Streaming Event Sequence ↗Siqiao Xue, Yan Wang, Zhixuan Chu et al.3 citations
- Provable convergence guarantees for black-box variational inference ↗Justin Domke, Robert M. Gower, Guillaume Garrigos3 citations
- Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games ↗Youbang Sun, Tao Liu, Ruida Zhou et al.3 citations
- Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards ↗Semih Çaycı, Atilla Eryılmaz3 citations
- Provably Safe Reinforcement Learning with Step-wise Violation Constraints ↗Nuoya Xiong, Yihan du, Longbo Huang3 citations
- PyNeRF: Pyramidal Neural Radiance Fields ↗Haithem Turki, Michael Zollhöfer, Christian Richardt et al.3 citations
- RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion ↗Zhuoqun Huang, Neil G. Marchant, Keane Lucas et al.3 citations
- RangePerception: Taming LiDAR Range View for Efficient and Accurate 3D Object Detection ↗Yeqi Bai, Ben Fei, Yuenan Hou et al.3 citations
- Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations ↗Yijia Cheng, Xin Liu, Jingyu Yang3 citations
- Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares ↗Christian Kümmerle, Johannes Maly3 citations
- Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning ↗Ke Jiang, Jia-Yu Yao, Xiaoyang Tan3 citations
- Recurrent Hypernetworks are Surprisingly Strong in Meta-RL ↗Jacob Beck, Risto Vuorio, Zheng Xiong et al.3 citations
- Recurrent Temporal Revision Graph Networks ↗Yizhou Chen, Anxiang Zeng, Qingtao Yu et al.3 citations
- Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans ↗Kyowoon Lee, Seongun Kim, Jaesik Choi3 citations
- RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars ↗Dongwei Pan, Long Zhuo, Jingtan Piao et al.3 citations
- Replicability in Reinforcement Learning ↗Amin Karbasi, Grigoris Velegkas, Lin Yang et al.3 citations
- Replicable Clustering ↗Hossein Esfandiari, Amin Karbasi, Vahab Mirrokni et al.3 citations
- ResMem: Learn what you can and memorize the rest ↗Zitong Yang, Michał Łukasik, Vaishnavh Nagarajan et al.3 citations
- Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption ↗Yige Hong, Qiaomin Xie, Yudong Chen et al.3 citations
- Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning ↗Gen Li, Wenhao Zhan, Jason D. Lee et al.3 citations
- Rigorous Runtime Analysis of MOEA/D for Solving Multi-Objective Minimum Weight Base Problems ↗Anh Viet Do, Aneta Neumann, Frank Neumann et al.3 citations
- Robust Distributed Learning: Tight Error Bounds and Breakdown Point under Data Heterogeneity ↗Youssef Allouah, Rachid Guerraoui, Nirupam Gupta et al.3 citations
- Robustifying Generalizable Implicit Shape Networks with a Tunable Non-Parametric Model ↗Amine Ouasfi, Adnane Boukhayma3 citations
- SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection ↗Daehyun Kim, Sungyong Baik, Tae Hyun Kim3 citations
- SODA: Robust Training of Test-Time Data Adaptors ↗Zhen Fang, Yonggang Zhang, Zhen Fang et al.3 citations
- STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner ↗Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar3 citations
- Sample-Efficient and Safe Deep Reinforcement Learning via Reset Deep Ensemble Agents ↗Woojun Kim, Yongjae Shin, Jongeui Park et al.3 citations
- Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities ↗Yuhao Ding, Yunkai Zhang, Yuhao Ding et al.3 citations
- Scaling Laws for Hyperparameter Optimization ↗Arlind Kadra, Maciej Janowski, Martin Wistuba et al.3 citations
- Score-based Generative Models with Lévy Processes ↗Eun Bi Yoon, Keehun Park, Sungwoong Kim et al.3 citations
- Score-based Source Separation with Applications to Digital Communication Signals ↗Tejas Jayashankar, Gary C.F. Lee, Alejandro Lancho et al.3 citations
- Self-Adaptive Motion Tracking against On-body Displacement of Flexible Sensors ↗Shihui Guo, Jiawei Fang, Shihui Guo et al.3 citations
- Self-Supervised Reinforcement Learning that Transfers using Random Features ↗Boyuan Chen, Chuning Zhu, Pulkit Agrawal et al.3 citations
- Self-Supervised Visual Acoustic Matching ↗Arjun Somayazulu, Changan Chen, Kristen Grauman3 citations
- Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination ↗Yuchen Bai, Jean-Baptiste Durand, Grégoire Vincent et al.3 citations
- Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots ↗Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li et al.3 citations
- Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction ↗Souhaib Attaiki, Maks Ovsjanikov3 citations
- SiT Dataset: Socially Interactive Pedestrian Trajectory Dataset for Social Navigation Robots ↗Jong Wook Bae, Jungho Kim, Junyong Yun et al.3 citations
- Smooth, exact rotational symmetrization for deep learning on point clouds ↗Sergey N. Pozdnyakov, Michele Ceriotti3 citations
- Sorting with Predictions ↗Xingjian Bai, Christian Coester3 citations
- Sparse Modular Activation for Efficient Sequence Modeling ↗LiLiang Ren, Yang Liu, Shuohang Wang et al.3 citations
- Species196: A One-Million Semi-supervised Dataset for Fine-grained Species Recognition ↗Wei He, Kai Han, Ying Nie et al.3 citations
- SpokenWOZ: A Large-Scale Speech-Text Benchmark for Spoken Task-Oriented Dialogue Agents ↗Shuzheng Si, Wentao Ma, Haoyu Gao et al.3 citations
- Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features ↗Cian Eastwood, Shashank Singh, Andrei Liviu Nicolicioiu et al.3 citations
- Squared Neural Families: A New Class of Tractable Density Models ↗Russell Tsuchida, Cheng Soon Ong, Dino Sejdinović3 citations
- StateMask: Explaining Deep Reinforcement Learning through State Mask ↗Zelei Cheng, Xian Wu, Jiahao Yu et al.3 citations
- Statistical Knowledge Assessment for Large Language Models ↗Qingxiu Dong, Jingjing Xu, Lingpeng Kong et al.3 citations
- Streaming Factor Trajectory Learning for Temporal Tensor Decomposition ↗Shikai Fang, Xin Yu, Shibo Li et al.3 citations
- Strong and Precise Modulation of Human Percepts via Robustified ANNs ↗Guy Gaziv, Michael Lee, James J. DiCarlo3 citations
- SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking ↗Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler et al.3 citations
- Suggesting Variable Order for Cylindrical Algebraic Decomposition via Reinforcement Learning ↗Fuqi Jia, Yuhang Dong, Minghao Liu et al.3 citations
- SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting ↗Shane Bergsma, Tim Zeyl, Lei Guo3 citations
- TMT-VIS: Taxonomy-aware Multi-dataset Joint Training for Video Instance Segmentation ↗Rongkun Zheng, Lu Qi, Xi Chen et al.3 citations
- Tanh Works Better with Asymmetry ↗Dongjin Kim, Woojeong Kim, Suhyun Kim3 citations
- Tanimoto Random Features for Scalable Molecular Machine Learning ↗Austin Tripp, Sergio Bacallado, Sukriti Singh et al.3 citations
- Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design ↗AkshatKumar Nigam, Robert Pollice, Gary Tom et al.3 citations
- Task-aware Distributed Source Coding under Dynamic Bandwidth ↗Po-Han Li, Sravan Kumar Ankireddy, Ruihan (Philip) Zhao et al.3 citations
- Template-free Articulated Neural Point Clouds for Reposable View Synthesis ↗Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer3 citations
- Temporal Robustness against Data poisoning ↗Wenxiao Wang, Soheil Feizi3 citations
- Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification ↗Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi3 citations
- The Grand Illusion: The Myth of Software Portability and Implications for ML Progress. ↗Fraser Mince, Dzung Dinh, Jonas Kgomo et al.3 citations
- The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance ↗Dario Paccagnan, Marco Claudio Campi, Simone Garatti3 citations
- The Pursuit of Human Labeling: A New Perspective on Unsupervised Learning ↗Artyom Gadetsky, Maria Brbić3 citations
- The Shaped Transformer: Attention Models in the Infinite Depth-and-Width Limit ↗Lorenzo Noci, Chuning Li, Mufan Li et al.3 citations
- Time-Reversed Dissipation Induces Duality Between Minimizing Gradient Norm and Function Value ↗Jaeyeon Kim, Asuman Ozdaglar, Chanwoo Park et al.3 citations
- Token-Scaled Logit Distillation for Ternary Weight Generative Language Models ↗Minsoo Kim, Sihwa Lee, Janghwan Lee et al.3 citations
- Towards Efficient Image Compression Without Autoregressive Models ↗Muhammad Salman Ali, Yeongwoong Kim, Maryam Qamar et al.3 citations
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