Elamur Research⌕
☰
home / venues / NeurIPS / 2023 / papers / page 21

NeurIPS 2023: all accepted papers

3,540 papers · page 21 of 36 · the most cited first · ← NeurIPS 2023

1 … 20 21 22 … 30 … 36

  1. Is RLHF More Difficult than Standard RL? A Theoretical Perspective ↗Yuanhao Wang, Qinghua Liu, Chi Jin2 citations
  2. Joint Data-Task Generation for Auxiliary Learning ↗Hong Chen, Xin Eric Wang, Yuwei Zhou et al.2 citations
  3. Joint Feature and Differentiable k -NN Graph Learning using Dirichlet Energy ↗Lei Xu, Lei Chen, Rong Wang et al.2 citations
  4. Knowledge Distillation Performs Partial Variance Reduction ↗Mher Safaryan, Alexandra Peşte, Dan Alistarh2 citations
  5. Knowledge Distillation for High Dimensional Search Index ↗Zepu Lu, Jin Chen, Defu Lian et al.2 citations
  6. Koopman Kernel Regression ↗Petar Bevanda, Max Beier, Armin Lederer et al.2 citations
  7. L2T-DLN: Learning to Teach with Dynamic Loss Network ↗Zhaoyang Hai, Liyuan Pan, Xiabi Liu et al.2 citations
  8. Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency ↗Xiyang Liu, Prateek Jain, Weihao Kong et al.2 citations
  9. Langevin Quasi-Monte Carlo ↗Sifan Liu2 citations
  10. Language Model Alignment with Elastic Reset ↗Michael Noukhovitch, Samuel Lavoie, Florian Strub et al.2 citations
  11. Large Language Models are Fixated by Red Herrings: Exploring Creative Problem Solving and Einstellung Effect using the Only Connect Wall Dataset ↗Saeid Alavi Naeini, Raeid Saqur, Mozhgan Saeidi et al.2 citations
  12. Latent Field Discovery in Interacting Dynamical Systems with Neural Fields ↗Miltiadis Kofinas, Erik J. Bekkers, Naveen Shankar Nagaraja et al.2 citations
  13. Learning Causal Models under Independent Changes ↗Sarah Mameche, David Kaltenpoth, Jilles Vreeken2 citations
  14. Learning Energy-Based Prior Model with Diffusion-Amortized MCMC ↗Peiyu Yu, Yaxuan Zhu, Sirui Xie et al.2 citations
  15. Learning Energy-based Model via Dual-MCMC Teaching ↗Jiali Cui, Tian Han2 citations
  16. Learning Functional Transduction ↗Mathieu Chalvidal, Thomas Serre, Rufin Vanrullen A2 citations
  17. Learning Motion Refinement for Unsupervised Face Animation ↗Jiale Tao, Shuhang Gu, Wen Li et al.2 citations
  18. Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations ↗Shicheng Liu, Minghui Zhu2 citations
  19. Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance ↗Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade et al.2 citations
  20. Learning Regularized Monotone Graphon Mean-Field Games ↗Fengzhuo Zhang, Vincent Y. F. Tan, Zhuoran Yang et al.2 citations
  21. Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping ↗Tianhao Wu, Mingdong Wu, Jiyao Zhang et al.2 citations
  22. Learning Unseen Modality Interaction ↗Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek2 citations
  23. Learning World Models with Identifiable Factorization ↗Yuren Liu, Biwei Huang, Zhengmao Zhu et al.2 citations
  24. Learning and Collusion in Multi-unit Auctions ↗Simina Brânzei, Mahsa Derakhshan, Negin Golrezaei et al.2 citations
  25. Learning from Active Human Involvement through Proxy Value Propagation ↗Zhenghao Peng, Wenjie Mo, Chenda Duan et al.2 citations
  26. Learning from Both Structural and Textual Knowledge for Inductive Knowledge Graph Completion ↗Kunxun Qi, Jianfeng Du, Hai Wan2 citations
  27. Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection ↗Lingchen Meng, Xiyang Dai, Jianwei Yang et al.2 citations
  28. Learning non-Markovian Decision-Making from State-only Sequences ↗Aoyang Qin, Feng Gao, Qing Li et al.2 citations
  29. Learning to Discover Skills through Guidance ↗Hyunseung Kim, Byung Kun Lee, Hojoon Lee et al.2 citations
  30. Learning to Receive Help: Intervention-Aware Concept Embedding Models ↗Mateo Espinosa Zarlenga, Katie Collins, Krishnamurthy Dvijotham et al.2 citations
  31. Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression ↗Robert Scott Allison, Anthony Stephenson, Samuel F et al.2 citations
  32. Leveraging sparse and shared feature activations for disentangled representation learning ↗Marco Fumero, Florian Wenzel, Luca Zancato et al.2 citations
  33. Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning ↗Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja et al.2 citations
  34. Long Sequence Hopfield Memory ↗Hamza Chaudhry, Jacob A. Zavatone-Veth, Dmitry Krotov et al.2 citations
  35. Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL ↗Peng Cheng, Xianyuan Zhan, Zhihao Wu et al.2 citations
  36. Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration ↗Fenja Falta, Christoph Großbröhmer, Alessa Hering et al.2 citations
  37. MMGP: a Mesh Morphing Gaussian Process-based machine learning method for regression of physical problems under nonparametrized geometrical variability ↗Fabien Casenave, Brian Staber, Xavier Roynard2 citations
  38. Machine learning detects terminal singularities ↗Tom Coates, Alexander Kasprzyk, Sara Veneziale2 citations
  39. Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack ↗Pratik Karmakar, Debabrota Basu2 citations
  40. Mechanism Design for Collaborative Normal Mean Estimation ↗Yiding Chen, Jerry Zhu, Kirthevasan Kandasamy2 citations
  41. Meta-Learning Adversarial Bandit Algorithms ↗Misha Khodak, Ilya Osadchiy, Keegan Harris et al.2 citations
  42. Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference ↗Basile Confavreux, Poornima Ramesh, Pedro J. Gonçalves et al.2 citations
  43. Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy ↗B.S. Lee, Jeongyoun Ahn, Cheolwoo Park2 citations
  44. Minimum Description Length and Generalization Guarantees for Representation Learning ↗Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski2 citations
  45. Mixed Samples as Probes for Unsupervised Model Selection in Domain Adaptation ↗Dapeng Hu, Jian Liang, Jun Hao Liew et al.2 citations
  46. Modulated Neural ODEs ↗Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane et al.2 citations
  47. Module-wise Training of Neural Networks via the Minimizing Movement Scheme ↗Skander Karkar, Ibrahim Ayed, Emmanuel de Bézenac et al.2 citations
  48. Monte Carlo Tree Search with Boltzmann Exploration ↗Michael Painter, Mohamed Baioumy, Nick Hawes et al.2 citations
  49. Moral Responsibility for AI Systems ↗Sander Beckers2 citations
  50. Multi-Head Adapter Routing for Cross-Task Generalization ↗Lucas Caccia, Edoardo Maria Ponti, Zhan Su et al.2 citations
  51. Multi-Step Generalized Policy Improvement by Leveraging Approximate Models ↗Lucas N. Alegre, Ana L. C. Bazzan, Ann Nowe et al.2 citations
  52. Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum ↗Yijian Qin, Xin Eric Wang, Ziwei Zhang et al.2 citations
  53. NIS3D: A Completely Annotated Benchmark for Dense 3D Nuclei Image Segmentation ↗Wei Zheng, cheng peng, Zeyuan Hou et al.2 citations
  54. Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment ↗Carsten T. Lüth, Till J. Bungert, Lukas Klein et al.2 citations
  55. Near-Optimal k-Clustering in the Sliding Window Model ↗David P. Woodruff, Peilin Zhong, Samson Zhou2 citations
  56. NetHack is Hard to Hack ↗Ulyana Piterbarg, Lerrel Pinto, Rob Fergus2 citations
  57. Networks are Slacking Off: Understanding Generalization Problem in Image Deraining ↗Jinjin Gu, Xianzheng Ma, Xiangtao Kong et al.2 citations
  58. Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb ↗Jacob A. Zavatone-Veth, Paul Masset, William L. Tong et al.2 citations
  59. Neural Sampling in Hierarchical Exponential-family Energy-based Models ↗Xingsi Dong, Si Wu2 citations
  60. No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand ↗Mengzi Amy Guo, Donghao Ying, Javad Lavaei et al.2 citations
  61. Non-Asymptotic Analysis of a UCB-based Top Two Algorithm ↗Marc Jourdan, Rémy Degenne2 citations
  62. Nonparametric Boundary Geometry in Physics Informed Deep Learning ↗Scott Cameron, Arnu Pretorius, S Roberts2 citations
  63. On Learning Necessary and Sufficient Causal Graphs ↗Hengrui Cai, Yixin Wang, Michael I. Jordan et al.2 citations
  64. On skip connections and normalisation layers in deep optimisation ↗Lachlan MacDonald, Jack Valmadre, Hemanth Saratchandran et al.2 citations
  65. On the Ability of Graph Neural Networks to Model Interactions Between Vertices ↗Noam Razin, Tom Verbin, Nadav Cohen2 citations
  66. On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay ↗Yicheng Li, Haobo Zhang, Qian Qiang Lin2 citations
  67. On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence ↗Achraf Azize, Marc Jourdan, Aymen Al Marjani et al.2 citations
  68. On the Convergence of Black-Box Variational Inference ↗Kyurae Kim, Jisu Oh, Kaiwen Wu et al.2 citations
  69. On the Importance of Feature Separability in Predicting Out-Of-Distribution Error ↗Renchunzi Xie, Hongxin Wei, Lei Feng et al.2 citations
  70. On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails ↗Yi Feng, Hu Fu, Qun Hu et al.2 citations
  71. On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets ↗Jiashuo Liu, Tianyu Wang, Peng Cui et al.2 citations
  72. On the Overlooked Structure of Stochastic Gradients ↗Zeke Xie, Qian-Yuan Tang, Mingming Sun et al.2 citations
  73. On the Pareto Front of Multilingual Neural Machine Translation ↗Liang Chen, Shuming Ma, Dongdong Zhang et al.2 citations
  74. On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm ↗Qi Chen, Changjian Shui, Ligong Han et al.2 citations
  75. One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning ↗Marc P. Rigter, Bruno Lacerda, Nick Hawes2 citations
  76. Online Clustering of Bandits with Misspecified User Models ↗Zhiyong Wang, Jize Xie, Xutong Liu et al.2 citations
  77. Online Convex Optimization with Unbounded Memory ↗Raunak Kumar, Sarah Dean, Robert Kleinberg2 citations
  78. Online List Labeling with Predictions ↗Samuel McCauley, Ben Moseley, Aidin Niaparast et al.2 citations
  79. Online Nonstochastic Model-Free Reinforcement Learning ↗Udaya Ghai, Arushi Gupta, Wenhan Xia et al.2 citations
  80. Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection ↗Chao Chen, Zhihang Fu, Kai Liu et al.2 citations
  81. Optimal Preconditioning and Fisher Adaptive Langevin Sampling ↗Michalis K. Titsias2 citations
  82. Optimal Regret Is Achievable with Bounded Approximate Inference Error: An Enhanced Bayesian Upper Confidence Bound Framework ↗Ziyi Huang, Henry Lam, Amirhossein Meisami et al.2 citations
  83. Optimal Treatment Allocation for Efficient Policy Evaluation in Sequential Decision Making ↗Ting Li, Chengchun Shi, Jianing Wang et al.2 citations
  84. Optimal Treatment Regimes for Proximal Causal Learning ↗Tao Shen, Yifan Cui2 citations
  85. Optimize Planning Heuristics to Rank, not to Estimate Cost-to-Goal ↗Leah A. Chrestien, Stefan Edelkamp, Antonín Komenda et al.2 citations
  86. Outlier-Robust Wasserstein DRO ↗Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee2 citations
  87. PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization ↗Jiancong Xiao, Ruoyu Sun, Zhi-Quan Tom Luo2 citations
  88. PTADisc: A Cross-Course Dataset Supporting Personalized Learning in Cold-Start Scenarios ↗Liya Hu, Zhiang Dong, Jingyuan Chen et al.2 citations
  89. Parameterizing Non-Parametric Meta-Reinforcement Learning Tasks via Subtask Decomposition ↗Suyoung Lee, Myungsik Cho, Youngchul Sung2 citations
  90. Partial Label Learning with Dissimilarity Propagation guided Candidate Label Shrinkage ↗Yuheng Jia, Fuchao Yang, Yongqiang Dong2 citations
  91. Parts of Speech–Grounded Subspaces in Vision-Language Models ↗James Oldfield, Christos Tzelepis, Yannis Panagakis et al.2 citations
  92. Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms ↗Yashaswini Murthy, Mehrdad Moharrami, R. Srikant2 citations
  93. Performance-optimized deep neural networks are evolving into worse models of inferotemporal visual cortex ↗Drew A. Linsley, Ivan Felipe Rodriguez, Thomas Fel et al.2 citations
  94. Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion ↗Taehyun Cho, Seungyub Han, Heesoo Lee et al.2 citations
  95. Policy Space Diversity for Non-Transitive Games ↗Jian Yao, Weiming Liu, Haobo Fu et al.2 citations
  96. Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games ↗Gabriele Farina, Charilaos Pipis2 citations
  97. Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds ↗Paul Rosa, Slava Borovitskiy, Alexander Terenin et al.2 citations
  98. Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release ↗Abhishek Singh, Praneeth Vepakomma, Vivek Sharma et al.2 citations
  99. Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent ↗Xixi Jia, Hailin Wang, Deyu Meng et al.2 citations
  100. Preference-grounded Token-level Guidance for Language Model Fine-tuning ↗Shentao Yang, Shujian Zhang, Congying Xia et al.2 citations

1 … 20 21 22 … 30 … 36

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/papers/page/21/