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NeurIPS 2023: all accepted papers

3,540 papers · page 31 of 36 · the most cited first · ← NeurIPS 2023

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  1. Diffusion Model for Graph Inverse Problems: Towards Effective Source Localization on Complex Networks ↗Xin Yan, Hui Fang, Qiang He
  2. Diffusion Representation for Asymmetric Kernels via Magnetic Transform ↗Fan He, Fan He, Ruikai Yang et al.
  3. Discrete-Smoothness in Online Algorithms with Predictions ↗Yossi Azar, Debmalya Panigrahi, Noam Touitou
  4. Discriminative Calibration: Check Bayesian Computation from Simulations and Flexible Classifier ↗Yuling Yao, Justin Domke
  5. Distributed Personalized Empirical Risk Minimization ↗Yuyang Deng, Mohammad Mahdi Kamani, Pouria Mahdavinia et al.
  6. Distributional Model Equivalence for Risk-Sensitive Reinforcement Learning ↗Tyler Kastner, Murat A. Erdogdu, Amir-Massoud Farahmand
  7. Distributional Policy Evaluation: a Maximum Entropy approach to Representation Learning ↗Riccardo Zamboni, Alberto Maria Metelli, Marcello Restelli
  8. Distributionally Robust Skeleton Learning of Discrete Bayesian Networks ↗Yeshu Li, Brian D. Ziebart
  9. Diverse Community Data for Benchmarking Data Privacy Algorithms ↗Aniruddha Sen, Christine Task, Dhruv Kapur et al.
  10. Diverse Shape Completion via Style Modulated Generative Adversarial Networks ↗Wesley Khademi, Fuxin Li
  11. Diversify & Conquer: Outcome-directed Curriculum RL via Out-of-Distribution Disagreement ↗Daesol Cho, Seungjae Lee, H. Jin Kim
  12. Do Not Marginalize Mechanisms, Rather Consolidate! ↗Moritz Willig, Matej Zečević, Devendra Singh Dhami et al.
  13. Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework ↗Weiduo Liao, Ying Wei, Mingchen Jiang et al.
  14. Does Visual Pretraining Help End-to-End Reasoning? ↗Chen Sun, Calvin Luo, Xingyi Zhou et al.
  15. Don’t just prune by magnitude! Your mask topology is a secret weapon ↗Duc Hoang, Souvik Kundu, Shiwei Liu et al.
  16. Double Gumbel Q-Learning ↗David Yu-Tung Hui, Aaron C. Courville, Pierre‐Luc Bacon
  17. Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee ↗Yuanshi Liu, Cong Fang, Tong Zhang
  18. Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control ↗Jann Spiess, Guido W. Imbens, Amar Venugopal
  19. Doubly-Robust Self-Training ↗Banghua Zhu, Mingyu Ding, Philip Jacobson et al.
  20. DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views ↗Paul Yoo, Jiaxian Guo, Yutaka Matsuo et al.
  21. DropCompute: simple and more robust distributed synchronous training via compute variance reduction ↗Niv Giladi, Shahar Gottlieb, Moran Shkolnik et al.
  22. Dynamic Regret of Adversarial Linear Mixture MDPs ↗Long-Fei Li, Peng Zhao, Zhi-Hua Zhou
  23. Dynamically Masked Discriminator for GANs ↗Wentian Zhang, Haozhe Liu, Bing Li et al.
  24. ELDEN: Exploration via Local Dependencies ↗Zizhao Wang, Jiaheng Hu, Peter Stone et al.
  25. Effective Robustness against Natural Distribution Shifts for Models with Different Training Data ↗Zhouxing Shi, Nicholas Carlini, Ananth Balashankar et al.
  26. Effectively Learning Initiation Sets in Hierarchical Reinforcement Learning ↗Akhil Bagaria, Ben Abbatematteo, Omer Gottesman et al.
  27. Efficient Batched Algorithm for Contextual Linear Bandits with Large Action Space via Soft Elimination ↗Osama A. Hanna, Lin Yang, Christina Fragouli
  28. Efficient Beam Tree Recursion ↗Jishnu Ray Chowdhury, Cornelia Caragea
  29. Efficient Exploration in Continuous-time Model-based Reinforcement Learning ↗Lenart Treven, Jonas Hübotter, Bhavya Sukhija et al.
  30. Efficient Model-Free Exploration in Low-Rank MDPs ↗Zakaria Mhammedi, Adam Block, Dylan J. Foster et al.
  31. Efficient Online Clustering with Moving Costs ↗Dimitrios Christou, Stratis Skoulakis, Volkan Cevher
  32. Efficient Subgame Refinement for Extensive-form Games ↗Zhenxing Ge, Zheng Xu, Tianyu Ding et al.
  33. Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback ↗Han Shao, Lee Cohen, Avrim L. Blum et al.
  34. Embracing the chaos: analysis and diagnosis of numerical instability in variational flows ↗Zuheng Xu, Trevor Campbell
  35. Emergent Communication for Rules Reasoning ↗Yuxuan Guo, Yifan Hao, Rui Zhang et al.
  36. Empowering Convolutional Neural Nets with MetaSin Activation ↗Farnood Salehi, Tunç Aydin, André Gaillard et al.
  37. Encoding Human Behavior in Information Design through Deep Learning ↗Guanghui Yu, Wei Tang, Saumik Narayanan et al.
  38. Energy Discrepancies: A Score-Independent Loss for Energy-Based Models ↗Tobias Schröder, Zijing Ou, Jen Lim et al.
  39. Enhancing Robot Program Synthesis Through Environmental Context ↗Tianyi Chen, Qidi Wang, Zhen Dong et al.
  40. Enhancing User Intent Capture in Session-Based Recommendation with Attribute Patterns ↗Xin Liu, Zheng Li, Yifan Gao et al.
  41. Entropy-based Training Methods for Scalable Neural Implicit Samplers ↗Weijian Luo, Boya Zhang, Zhihua Zhang
  42. Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics ↗Koen Minartz, Yoeri Poels, Simon Koop et al.
  43. Error Bounds for Learning with Vector-Valued Random Features ↗Samuel Lanthaler, Nicholas H. Nelsen
  44. Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation ↗Dogyoon Song, Kyunghee Han
  45. Estimating Causal Effects Identifiable from a Combination of Observations and Experiments ↗Yonghan Jung, Ivan Diaz, Jin Tian et al.
  46. Estimating Propensity for Causality-based Recommendation without Exposure Data ↗Zhongzhou Liu, Yuan Fang, Min Wu
  47. Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance ↗Jiaming Qiu, Xiongtao Dai
  48. ExPT: Synthetic Pretraining for Few-Shot Experimental Design ↗Tung Nguyen, Sudhanshu Agrawal, Aditya Grover
  49. Exact Generalization Guarantees for (Regularized) Wasserstein Distributionally Robust Models ↗Waïss Azizian, Franck Iutzeler, Jérôme Malick
  50. Experimental Designs for Heteroskedastic Variance ↗Justin Weltz, Tanner Fiez, Alexander Volfovsky et al.
  51. Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models ↗Aaron Havens, Alexandre Araujo, Siddharth Garg et al.
  52. Exploiting Correlated Auxiliary Feedback in Parameterized Bandits ↗Arun Verma, Zhongxiang Dai, Yao Shu et al.
  53. Exploiting hidden structures in non-convex games for convergence to Nash equilibrium ↗Iosif Sakos, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Panayotis Mertikopoulos et al.
  54. Explore In-Context Learning for 3D Point Cloud Understanding ↗Zhongbin Fang, Xiangtai Li, Xia Li et al.
  55. Exploring Geometry of Blind Spots in Vision models ↗Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan et al.
  56. Exploring Loss Functions for Time-based Training Strategy in Spiking Neural Networks ↗Yaoyu Zhu, Wei Fang, Xiaodong Xie et al.
  57. Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations ↗Laura Gustafson, Megan Richards, Melissa A. Hall et al.
  58. Expressivity-Preserving GNN Simulation ↗Fabian Jogl, Maximilian Thiessen, Thomas Gärtner
  59. Extending the Design Space of Graph Neural Networks by Rethinking Folklore Weisfeiler-Lehman ↗Jiarui Feng, Lecheng Kong, Hao Liu et al.
  60. Extracting Reward Functions from Diffusion Models ↗Felipe Nuti, Tim Franzmeyer, João F. Henriques
  61. Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models ↗Yule Wang, Zijing Wu, Chengrui Li et al.
  62. FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation ↗Jia Gu, Caizhi Tang, Han Yan et al.
  63. FLSL: Feature-level Self-supervised Learning ↗Qing Su, Anton D. Netchaev, Hai Li et al.
  64. FaceComposer: A Unified Model for Versatile Facial Content Creation ↗Jiayu Wang, Kang Zhao, Yifeng Ma et al.
  65. FaceDNeRF: Semantics-Driven Face Reconstruction, Prompt Editing and Relighting with Diffusion Models ↗Hao Zhang, Tianyuan Dai, Yanbo Xu et al.
  66. Fair, Polylog-Approximate Low-Cost Hierarchical Clustering ↗Marina Knittel, Max Springer, John W. T. Dickerson et al.
  67. Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach ↗Jinqiu Jin, Haoxuan Li, Fuli Feng et al.
  68. Fast Asymptotically Optimal Algorithms for Non-Parametric Stochastic Bandits ↗Dorian Baudry, Fabien Pesquerel, Rémy Degenne et al.
  69. Fast Bellman Updates for Wasserstein Distributionally Robust MDPs ↗Zhuodong Yu, Ling Dai, Shaohang Xu et al.
  70. Fast Rank-1 Lattice Targeted Sampling for Black-box Optimization ↗Yueming Lyu
  71. Fast and Regret Optimal Best Arm Identification: Fundamental Limits and Low-Complexity Algorithms ↗Qining Zhang, Lei Ying
  72. Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case ↗Taihei Oki, Shinsaku Sakaue
  73. Faster Margin Maximization Rates for Generic Optimization Methods ↗Guanghui Wang, Zihao Hu, Vidya Muthukumar et al.
  74. Faster Query Times for Fully Dynamic k-Center Clustering with Outliers ↗Leyla Biabani, Annika Hennes, Morteza Monemizadeh et al.
  75. Faster approximate subgraph counts with privacy ↗Dung Nguyen, Mahantesh M. Halappanavar, Venkatesh Srinivasan et al.
  76. Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond ↗Taiji Suzuki, Denny C.-Y. Wu, Kazusato Oko et al.
  77. Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning ↗Zhongyi Cai, Ye Shi, Wei Huang et al.
  78. Federated Linear Bandits with Finite Adversarial Actions ↗Li Fan, Ruida Zhou, Chao Tian et al.
  79. Finding Local Minima Efficiently in Decentralized Optimization ↗Wenhan Xian, Heng Huang
  80. Finding Safe Zones of Markov Decision Processes Policies ↗Lee Cohen, Yishay Mansour, Michal Moshkovitz
  81. Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation ↗Mehrdad Ghadiri, David T. Arbour, Tung Mai et al.
  82. Finite-Time Logarithmic Bayes Regret Upper Bounds ↗Alexia Atsidakou, Branislav Kveton, Sumeet Katariya et al.
  83. First Order Stochastic Optimization with Oblivious Noise ↗Ilias Diakonikolas, Sushrut Karmalkar, Jong Ho Park et al.
  84. First- and Second-Order Bounds for Adversarial Linear Contextual Bandits ↗Julia Olkhovskaya, Jack Mayo, Tim van Erven et al.
  85. Fitting trees to 1-hyperbolic distances ↗Joon-Hyeok Yim, Anna C. Gilbert
  86. Fixing the NTK: From Neural Network Linearizations to Exact Convex Programs ↗Rajat Vadiraj Dwaraknath, Tolga Ergen, Mert Pilancı
  87. Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection ↗Yuxin Cao, Yian Li, Yumeng Zhu et al.
  88. Formalizing locality for normative synaptic plasticity models ↗Colin Bredenberg, Ezekiel Williams, Cristina Savin et al.
  89. Foundation Model is Efficient Multimodal Multitask Model Selector ↗Fanqing Meng, Wenqi Shao, Zhanglin Peng et al.
  90. Fractal Landscapes in Policy Optimization ↗Tao Wang, Sylvia Herbert, Sicun Gao
  91. From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader ↗Weiwen Xu, Xin Li, Wenxuan Zhang et al.
  92. Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge ↗Abhin Shah, Karthikeyan Shanmugam, Murat Kocaoglu
  93. Function Space Bayesian Pseudocoreset for Bayesian Neural Networks ↗Balhae Kim, Hyungi Lee, Juho Lee
  94. Functional Equivalence and Path Connectivity of Reducible Hyperbolic Tangent Networks ↗Matthew Farrugia-Roberts
  95. GEQ: Gaussian Kernel Inspired Equilibrium Models ↗Mingjie Li, Yisen Wang, Zhouchen Lin
  96. GLOBER: Coherent Non-autoregressive Video Generation via GLOBal Guided Video DecodER ↗Mingzhen Sun, Weining Wang, Zihan Qin et al.
  97. GUST: Combinatorial Generalization by Unsupervised Grouping with Neuronal Coherence ↗Hao Zheng, Hui Lin, Rong Zhao
  98. Game Solving with Online Fine-Tuning ↗Ti-Rong Wu, Hung Guei, Ting-Han Wei et al.
  99. General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence ↗Lingwei Zhu, Zheng Chen, Matthew Schlegel et al.
  100. Generalization in the Face of Adaptivity: A Bayesian Perspective ↗Moshe Shenfeld, Katrina Ligett

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