Conferences · eligible papers

NeurIPS

2022–2026 LIVE

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Machine Learning

2022 · 2,671 papers

このEditionに反映済みのmain full research papersのみ掲載しています。著者リンクは日本の大学への著者別所属根拠がある場合に限ります。

  1. 2022 · NeurIPS

    Learning State-Aware Visual Representations from Audible Interactions

    Himangi Mittal, Pedro Morgado, Unnat Jain, Abhinav Gupta

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2022 · NeurIPS

    Learning Structure from the Ground up---Hierarchical Representation Learning by Chunking

    Shuchen Wu, Noemi Elteto, Ishita Dasgupta, Eric Schulz

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2022 · NeurIPS

    Learning Substructure Invariance for Out-of-Distribution Molecular Representations

    Nianzu Yang, Kaipeng Zeng, Qitian Wu, Xiaosong Jia, Junchi Yan

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2022 · NeurIPS

    Learning Superpoint Graph Cut for 3D Instance Segmentation

    Le Hui, Linghua Tang, Yaqi Shen, Jin Xie, Jian Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2022 · NeurIPS

    Learning Symmetric Rules with SATNet

    Sangho Lim, Eun-Gyeol Oh, Hongseok Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2022 · NeurIPS

    Learning Tractable Probabilistic Models from Inconsistent Local Estimates

    Shasha Jin, Vasundhara Komaragiri, Tahrima Rahman, Vibhav Gogate

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2022 · NeurIPS

    Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium

    Chris Junchi Li, Dongruo Zhou, Quanquan Gu, Michael I. Jordan

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2022 · NeurIPS

    Learning Viewpoint-Agnostic Visual Representations by Recovering Tokens in 3D Space

    Jinghuan Shang, Srijan Das, Michael Ryoo

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2022 · NeurIPS

    Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

    Yixuan Pei, Zhiwu Qing, Jun CEN, Xiang Wang, Shiwei Zhang, Yaxiong Wang, Mingqian Tang, Nong Sang, Xueming Qian

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2022 · NeurIPS

    Learning and Covering Sums of Independent Random Variables with Unbounded Support

    Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2022 · NeurIPS

    Learning dynamics of deep linear networks with multiple pathways

    Jianghong Shi, Eric Shea-Brown, Michael Buice

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2022 · NeurIPS

    Learning from Distributed Users in Contextual Linear Bandits Without Sharing the Context

    Osama Hanna, Lin Yang, Christina Fragouli

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2022 · NeurIPS

    Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales

    Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2022 · NeurIPS

    Learning from Future: A Novel Self-Training Framework for Semantic Segmentation

    Ye Du, Yujun Shen, Haochen Wang, Jingjing Fei, Wei Li, Liwei Wu, Rui Zhao, Zehua Fu, Qingjie LIU

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2022 · NeurIPS

    Learning from Label Proportions by Learning with Label Noise

    Jianxin Zhang, Yutong Wang, Clay Scott

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2022 · NeurIPS

    Learning from Stochastically Revealed Preference

    John Birge, Xiaocheng Li, Chunlin Sun

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2022 · NeurIPS

    Learning from a Sample in Online Algorithms

    C.J. Argue, Alan Frieze, Anupam Gupta, Christopher Seiler

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2022 · NeurIPS

    Learning in Congestion Games with Bandit Feedback

    Qiwen Cui, Zhihan Xiong, Maryam Fazel, Simon S Du

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2022 · NeurIPS

    Learning in Observable POMDPs, without Computationally Intractable Oracles

    Noah Golowich, Ankur Moitra, Dhruv Rohatgi

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2022 · NeurIPS

    Learning interacting dynamical systems with latent Gaussian process ODEs

    Çağatay Yıldız, Melih Kandemir, Barbara Rakitsch

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2022 · NeurIPS

    Learning low-dimensional generalizable natural features from retina using a U-net

    Siwei Wang, Benjamin Hoshal, Elizabeth de Laittre, Olivier Marre, Michael J. Berry II, Stephanie Palmer

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2022 · NeurIPS

    Learning on Arbitrary Graph Topologies via Predictive Coding

    Tommaso Salvatori, Luca Pinchetti, Beren Millidge, Yuhang Song, Tianyi Bao, Rafal Bogacz, Thomas Lukasiewicz

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2022 · NeurIPS

    Learning on the Edge: Online Learning with Stochastic Feedback Graphs

    Emmanuel Esposito, Federico Fusco, Dirk van der Hoeven, Nicolò Cesa-Bianchi

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2022 · NeurIPS

    Learning single-index models with shallow neural networks

    Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2022 · NeurIPS

    Learning sparse features can lead to overfitting in neural networks

    Leonardo Petrini, Francesco Cagnetta, Eric Vanden-Eijnden, Matthieu Wyart

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2022 · NeurIPS

    Learning the Structure of Large Networked Systems Obeying Conservation Laws

    Anirudh Rayas, Rajasekhar Anguluri, Gautam Dasarathy

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2022 · NeurIPS

    Learning to Accelerate Partial Differential Equations via Latent Global Evolution

    Tailin Wu, Takashi Maruyama, Jure Leskovec

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2022 · NeurIPS

    Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework

    Henger Li, Xiaolin Sun, Zizhan Zheng

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2022 · NeurIPS

    Learning to Branch with Tree MDPs

    Lara Scavuzzo, Feng Chen, Didier Chetelat, Maxime Gasse, Andrea Lodi, Neil Yorke-Smith, Karen Aardal

    Machine Learning

    日本大学: 関与なし(対象大学)

  30. 2022 · NeurIPS

    Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation

    Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li

    Machine Learning

    日本大学: 奈良先端科学技術大学院大学

  31. 2022 · NeurIPS

    Learning to Compare Nodes in Branch and Bound with Graph Neural Networks

    Abdel Ghani Labassi, Didier Chetelat, Andrea Lodi

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2022 · NeurIPS

    Learning to Configure Computer Networks with Neural Algorithmic Reasoning

    Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever, Petar Veličković

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2022 · NeurIPS

    Learning to Constrain Policy Optimization with Virtual Trust Region

    Thai Hung Le, Thommen Karimpanal George, Majid Abdolshah, Dung Nguyen, Kien Do, Sunil Gupta, Svetha Venkatesh

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2022 · NeurIPS

    Learning to Discover and Detect Objects

    Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Laura Leal-Taixé, Aljosa Osep

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2022 · NeurIPS

    Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs

    Djordje Miladinovic, Kumar Shridhar, Kushal Jain, Max Paulus, Joachim M Buhmann, Carl Allen

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2022 · NeurIPS

    Learning to Find Proofs and Theorems by Learning to Refine Search Strategies: The Case of Loop Invariant Synthesis

    Jonathan Laurent, André Platzer

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2022 · NeurIPS

    Learning to Follow Instructions in Text-Based Games

    Mathieu Tuli, Andrew Li, Pashootan Vaezipoor, Toryn Klassen, Scott Sanner, Sheila McIlraith

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2022 · NeurIPS

    Learning to Generate Inversion-Resistant Model Explanations

    Hoyong Jeong, Suyoung Lee, Sung Ju Hwang, Sooel Son

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2022 · NeurIPS

    Learning to Mitigate AI Collusion on Economic Platforms

    Gianluca Brero, Eric Mibuari, Nicolas Lepore, David C. Parkes

    Machine Learning

    日本大学: 関与なし(対象大学)

  40. 2022 · NeurIPS

    Learning to Navigate Wikipedia by Taking Random Walks

    Manzil Zaheer, Kenneth Marino, Will Grathwohl, John Schultz, Wendy Shang, Sheila Babayan, Arun Ahuja, Ishita Dasgupta, Christine Kaeser-Chen, Rob Fergus

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2022 · NeurIPS

    Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification

    Dandan Guo, Zhuo Li, meixi zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2022 · NeurIPS

    Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures

    Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2022 · NeurIPS

    Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations

    Ivan Marisca, Andrea Cini, Cesare Alippi

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2022 · NeurIPS

    Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs

    Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek Abdelzaher

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2022 · NeurIPS

    Learning to Scaffold: Optimizing Model Explanations for Teaching

    Patrick Fernandes, Marcos Treviso, Danish Pruthi, André Martins, Graham Neubig

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2022 · NeurIPS

    Learning to Share in Networked Multi-Agent Reinforcement Learning

    Yuxuan Yi, Ge Li, Yaowei Wang, Zongqing Lu

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2022 · NeurIPS

    Learning with convolution and pooling operations in kernel methods

    Theodor Misiakiewicz, Song Mei

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2022 · NeurIPS

    Learning with little mixing

    Ingvar Ziemann, Stephen Tu

    Machine Learning

    日本大学: 関与なし(対象大学)

  49. 2022 · NeurIPS

    Learning-Augmented Algorithms for Online Linear and Semidefinite Programming

    Elena Grigorescu, Young-San Lin, Sandeep Silwal, Maoyuan Song, Samson Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2022 · NeurIPS

    Learning-based Motion Planning in Dynamic Environments Using GNNs and Temporal Encoding

    Ruipeng Zhang, Chenning Yu, Jingkai Chen, Chuchu Fan, Sicun Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2022 · NeurIPS

    Left Heavy Tails and the Effectiveness of the Policy and Value Networks in DNN-based best-first search for Sokoban Planning

    Dieqiao Feng, Carla P. Gomes, Bart Selman

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2022 · NeurIPS

    Less-forgetting Multi-lingual Fine-tuning

    Yuren Mao, Yaobo Liang, Nan Duan, Haobo Wang, Kai Wang, Lu Chen, Yunjun Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2022 · NeurIPS

    Let Images Give You More: Point Cloud Cross-Modal Training for Shape Analysis

    Xu Yan, Heshen Zhan, Chaoda Zheng, Jiantao Gao, Ruimao Zhang, Shuguang Cui, Zhen Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2022 · NeurIPS

    Lethal Dose Conjecture on Data Poisoning

    Wenxiao Wang, Alexander Levine, Soheil Feizi

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2022 · NeurIPS

    Leveraging Factored Action Spaces for Efficient Offline Reinforcement Learning in Healthcare

    Shengpu Tang, Maggie Makar, Michael Sjoding, Finale Doshi-Velez, Jenna Wiens

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2022 · NeurIPS

    Leveraging Inter-Layer Dependency for Post -Training Quantization

    changbao wang, DanDan Zheng, Yuanliu Liu, Liang Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2022 · NeurIPS

    Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions

    Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2022 · NeurIPS

    LieGG: Studying Learned Lie Group Generators

    Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold Smeulders

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2022 · NeurIPS

    Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting

    Alex Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2022 · NeurIPS

    Lifting Weak Supervision To Structured Prediction

    Harit Vishwakarma, Frederic Sala

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2022 · NeurIPS

    Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits

    Gergely Neu, Iuliia Olkhovskaia, Matteo Papini, Ludovic Schwartz

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2022 · NeurIPS

    Linear Label Ranking with Bounded Noise

    Dimitris Fotakis, Alkis Kalavasis, Vasilis Kontonis, Christos Tzamos

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2022 · NeurIPS

    Linear tree shap

    peng yu, Albert Bifet, Jesse Read, Chao Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2022 · NeurIPS

    Lipschitz Bandits with Batched Feedback

    Yasong Feng, zengfeng Huang, Tianyu Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2022 · NeurIPS

    List-Decodable Sparse Mean Estimation

    Shiwei Zeng, Jie Shen

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2022 · NeurIPS

    List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering

    Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Ankit Pensia, Thanasis Pittas

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2022 · NeurIPS

    Listen to Interpret: Post-hoc Interpretability for Audio Networks with NMF

    Jayneel Parekh, Sanjeel Parekh, Pavlo Mozharovskyi, Florence d'Alché-Buc, Gaël Richard

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2022 · NeurIPS

    LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

    Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio Cesar Teodoro Mendes, Sebastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2022 · NeurIPS

    LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

    Geon-Hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-Eung Kim

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2022 · NeurIPS

    Local Bayesian optimization via maximizing probability of descent

    Quan Nguyen, Kaiwen Wu, Jacob Gardner, Roman Garnett

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2022 · NeurIPS

    Local Identifiability of Deep ReLU Neural Networks: the Theory

    Joachim Bona-Pellissier, François Malgouyres, Francois Bachoc

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2022 · NeurIPS

    Local Latent Space Bayesian Optimization over Structured Inputs

    Natalie Maus, Haydn Jones, Juston Moore, Matt J Kusner, John Bradshaw, Jacob Gardner

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2022 · NeurIPS

    Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity

    Ron Fisher, Dan Garber

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2022 · NeurIPS

    Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

    Haanvid Lee, Jongmin Lee, Yunseon Choi, Wonseok Jeon, Byung-Jun Lee, Yung-Kyun Noh, Kee-Eung Kim

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2022 · NeurIPS

    Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis

    Mengwei Ren, Neel Dey, Martin Styner, Kelly Botteron, Guido Gerig

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2022 · NeurIPS

    Local-Global MCMC kernels: the best of both worlds

    Sergey Samsonov, Evgeny Lagutin, Marylou Gabrié, Alain Durmus, Alexey Naumov, Eric Moulines

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2022 · NeurIPS

    Locally Hierarchical Auto-Regressive Modeling for Image Generation

    Tackgeun You, Saehoon Kim, Chiheon Kim, Doyup Lee, Bohyung Han

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2022 · NeurIPS

    Locating and Editing Factual Associations in GPT

    Kevin Meng, David Bau, Alex Andonian, Yonatan Belinkov

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2022 · NeurIPS

    Log-Concave and Multivariate Canonical Noise Distributions for Differential Privacy

    Jordan Awan, Jinshuo Dong

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2022 · NeurIPS

    Log-Linear-Time Gaussian Processes Using Binary Tree Kernels

    Michael K. Cohen, Samuel Daulton, Michael A Osborne

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2022 · NeurIPS

    Log-Polar Space Convolution Layers

    Bing Su, Ji-Rong Wen

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2022 · NeurIPS

    LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

    Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2022 · NeurIPS

    Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators

    Scott Lowe, Robert Earle, Jason d'Eon, Thomas P. Trappenberg, Sageev Oore

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2022 · NeurIPS

    Logical Credal Networks

    Radu Marinescu, Haifeng Qian, Alexander G. Gray, Debarun Bhattacharjya, Francisco Barahona, Tian Gao, Ryan Riegel, Pravinda Sahu

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2022 · NeurIPS

    Long-Form Video-Language Pre-Training with Multimodal Temporal Contrastive Learning

    Yuchong Sun, Hongwei Xue, Ruihua Song, Bei Liu, Huan Yang, Jianlong Fu

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2022 · NeurIPS

    Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding

    Eslam Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2022 · NeurIPS

    Look More but Care Less in Video Recognition

    Yitian Zhang, Yue Bai, Huan Wang, Yi Xu, Yun Fu

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2022 · NeurIPS

    Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning

    David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2022 · NeurIPS

    Losses Can Be Blessings: Routing Self-Supervised Speech Representations Towards Efficient Multilingual and Multitask Speech Processing

    Yonggan Fu, Yang Zhang, Kaizhi Qian, Zhifan Ye, Zhongzhi Yu, Cheng-I Jeff Lai, Celine Lin

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2022 · NeurIPS

    Lost in Latent Space: Examining failures of disentangled models at combinatorial generalisation

    Milton Montero, Jeffrey Bowers, Rui Ponte Costa, Casimir Ludwig, Gaurav Malhotra

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2022 · NeurIPS

    Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks

    Mansheej Paul, Brett Larsen, Surya Ganguli, Jonathan Frankle, Gintare Karolina Dziugaite

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2022 · NeurIPS

    Low-Rank Modular Reinforcement Learning via Muscle Synergy

    Heng Dong, Tonghan Wang, Jiayuan Liu, Chongjie Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2022 · NeurIPS

    Low-rank Optimal Transport: Approximation, Statistics and Debiasing

    Meyer Scetbon, Marco Cuturi

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2022 · NeurIPS

    Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations

    Steffen Schotthöfer, Emanuele Zangrando, Jonas Kusch, Gianluca Ceruti, Francesco Tudisco

    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2022 · NeurIPS

    Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression

    Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan

    Machine Learning

    日本大学: 関与なし(対象大学)

  96. 2022 · NeurIPS

    Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs

    Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi

    Machine Learning

    日本大学: 関与なし(対象大学)

  97. 2022 · NeurIPS

    Luckiness in Multiscale Online Learning

    Wouter M. Koolen, Muriel F. Pérez-Ortiz

    Machine Learning

    日本大学: 関与なし(対象大学)

  98. 2022 · NeurIPS

    M$^4$I: Multi-modal Models Membership Inference

    Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue

    Machine Learning

    日本大学: 関与なし(対象大学)

  99. 2022 · NeurIPS

    M2N: Mesh Movement Networks for PDE Solvers

    Wenbin Song, Mingrui Zhang, Joseph G Wallwork, Junpeng Gao, Zheng Tian, Fanglei Sun, Matthew Piggott, Junqing Chen, Zuoqiang Shi, Xiang Chen, Jun Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  100. 2022 · NeurIPS

    MABSplit: Faster Forest Training Using Multi-Armed Bandits

    Mo Tiwari, Ryan Kang, Jaeyong Lee, Chris Piech, Ilan Shomorony, Sebastian Thrun, Martin J Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)