Conferences · eligible papers

ICML

2021–2025 確定版

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Machine Learning

2024 · 2,610 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. 2024 · ICML

    $H$-Consistency Guarantees for Regression

    Anqi Mao, Mehryar Mohri, Yutao Zhong

    Machine Learning

    日本大学: 関与なし(対象大学)

  2. 2024 · ICML

    $S^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

    Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, Dongjin Song

    Machine Learning

    日本大学: 関与なし(対象大学)

  3. 2024 · ICML

    $\bfΦ_\textrmFlow$: Differentiable Simulations for PyTorch, TensorFlow and Jax

    Philipp Holl, Nils Thuerey

    Machine Learning

    日本大学: 関与なし(対象大学)

  4. 2024 · ICML

    $\mathttVITS$ : Variational Inference Thompson Sampling for contextual bandits

    Pierre Clavier, Tom Huix, Alain Oliviero Durmus

    Machine Learning

    日本大学: 関与なし(対象大学)

  5. 2024 · ICML

    $\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

    Dingyang Chen, Qi Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  6. 2024 · ICML

    $\textttMoE-RBench$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts

    Guanjie Chen, Xinyu Zhao, Tianlong Chen, Yu Cheng

    Machine Learning

    日本大学: 関与なし(対象大学)

  7. 2024 · ICML

    $f$-Divergence Based Classification: Beyond the Use of Cross-Entropy

    Nicola Novello, Andrea M Tonello

    Machine Learning

    日本大学: 関与なし(対象大学)

  8. 2024 · ICML

    3D Geometric Shape Assembly via Efficient Point Cloud Matching

    Nahyuk Lee, Juhong Min, Junha Lee, Seungwook Kim, Kanghee Lee, Jaesik Park, Minsu Cho

    Machine Learning

    日本大学: 関与なし(対象大学)

  9. 2024 · ICML

    3D-VLA: A 3D Vision-Language-Action Generative World Model

    Haoyu Zhen, Xiaowen Qiu, Peihao Chen, Jincheng Yang, Xin Yan, Yilun Du, Yining Hong, Chuang Gan

    Machine Learning

    日本大学: 関与なし(対象大学)

  10. 2024 · ICML

    A Bayesian Approach to Online Planning

    Nir Greshler, David Ben Eli, Carmel Rabinovitz, Gabi Guetta, Liran Gispan, Guy Zohar, Aviv Tamar

    Machine Learning

    日本大学: 関与なし(対象大学)

  11. 2024 · ICML

    A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

    Sebastian Gregor Gruber, Florian Buettner

    Machine Learning

    日本大学: 関与なし(対象大学)

  12. 2024 · ICML

    A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design

    Zhihai Wang, Lei Chen, Jie Wang, Yinqi Bai, Xing Li, Xijun Li, Mingxuan Yuan, Jianye Hao, Yongdong Zhang, Feng Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  13. 2024 · ICML

    A Closer Look at the Limitations of Instruction Tuning

    Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S, Deepali Aneja, Zeyu Jin, Ramani Duraiswami, Dinesh Manocha

    Machine Learning

    日本大学: 関与なし(対象大学)

  14. 2024 · ICML

    A Computational Framework for Solving Wasserstein Lagrangian Flows

    Kirill Neklyudov, Rob Brekelmans, Alexander Tong, Lazar Atanackovic, Qiang Liu, Alireza Makhzani

    Machine Learning

    日本大学: 関与なし(対象大学)

  15. 2024 · ICML

    A Contextual Combinatorial Bandit Approach to Negotiation

    Yexin Li, Zhancun Mu, Siyuan Qi

    Machine Learning

    日本大学: 関与なし(対象大学)

  16. 2024 · ICML

    A Dense Reward View on Aligning Text-to-Image Diffusion with Preference

    Shentao Yang, Tianqi Chen, Mingyuan Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  17. 2024 · ICML

    A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing

    Chengrui Li, Weihan Li, Yule Wang, Anqi Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  18. 2024 · ICML

    A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization

    Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner

    Machine Learning

    日本大学: 関与なし(対象大学)

  19. 2024 · ICML

    A Distributional Analogue to the Successor Representation

    Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Yunhao Tang, Andre Barreto, Will Dabney, Marc G Bellemare, Mark Rowland

    Machine Learning

    日本大学: 関与なし(対象大学)

  20. 2024 · ICML

    A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization

    Hongchang Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  21. 2024 · ICML

    A Dual-module Framework for Counterfactual Estimation over Time

    Xin Wang, Shengfei Lyu, Lishan Yang, Yibing Zhan, Huanhuan Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  22. 2024 · ICML

    A Dynamic Algorithm for Weighted Submodular Cover Problem

    Kiarash Banihashem, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh

    Machine Learning

    日本大学: 関与なし(対象大学)

  23. 2024 · ICML

    A Dynamical Model of Neural Scaling Laws

    Blake Bordelon, Alexander Atanasov, Cengiz Pehlevan

    Machine Learning

    日本大学: 関与なし(対象大学)

  24. 2024 · ICML

    A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization

    Xinwen Zhang, Ali Payani, Myungjin Lee, Richard Souvenir, Hongchang Gao

    Machine Learning

    日本大学: 関与なし(対象大学)

  25. 2024 · ICML

    A Field Guide for Pacing Budget and ROS Constraints

    Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  26. 2024 · ICML

    A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models

    Jiayi Wang, Zhengling Qi, Raymond K. W. Wong

    Machine Learning

    日本大学: 関与なし(対象大学)

  27. 2024 · ICML

    A Fixed-Point Approach for Causal Generative Modeling

    Meyer Scetbon, Joel Jennings, Agrin Hilmkil, Cheng Zhang, Chao Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  28. 2024 · ICML

    A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks

    Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew Mccallum, Manzil Zaheer

    Machine Learning

    日本大学: 関与なし(対象大学)

  29. 2024 · ICML

    A General Framework for Learning from Weak Supervision

    Hao Chen, Jindong Wang, Lei Feng, Xiang Li, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj

    Machine Learning

    日本大学: 東京科学大学 / 東京大学

  30. 2024 · ICML

    A General Framework for Sequential Decision-Making under Adaptivity Constraints

    Nuoya Xiong, Zhaoran Wang, Zhuoran Yang

    Machine Learning

    日本大学: 関与なし(対象大学)

  31. 2024 · ICML

    A General Online Algorithm for Optimizing Complex Performance Metrics

    Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski

    Machine Learning

    日本大学: 関与なし(対象大学)

  32. 2024 · ICML

    A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts

    Huy Nguyen, Pedram Akbarian, Trungtin Nguyen, Nhat Ho

    Machine Learning

    日本大学: 関与なし(対象大学)

  33. 2024 · ICML

    A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective

    Baohong Li, Haoxuan Li, Anpeng Wu, Minqin Zhu, Shiyuan Peng, Qingyu Cao, Kun Kuang

    Machine Learning

    日本大学: 関与なし(対象大学)

  34. 2024 · ICML

    A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights

    Davide Legacci, Panayotis Mertikopoulos, Bary Pradelski

    Machine Learning

    日本大学: 関与なし(対象大学)

  35. 2024 · ICML

    A Geometric Explanation of the Likelihood OOD Detection Paradox

    Hamidreza Kamkari, Brendan Leigh Ross, Jesse C. Cresswell, Anthony L. Caterini, Rahul Krishnan, Gabriel Loaiza-Ganem

    Machine Learning

    日本大学: 関与なし(対象大学)

  36. 2024 · ICML

    A Global Geometric Analysis of Maximal Coding Rate Reduction

    Peng Wang, Huikang Liu, Druv Pai, Yaodong Yu, Zhihui Zhu, Qing Qu, Yi Ma

    Machine Learning

    日本大学: 関与なし(対象大学)

  37. 2024 · ICML

    A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer

    Zhangyang Gao, Daize Dong, Cheng Tan, Jun Xia, Bozhen Hu, Stan Z. Li

    Machine Learning

    日本大学: 関与なし(対象大学)

  38. 2024 · ICML

    A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

    Zhihai Wang, Jie Wang, Dongsheng Zuo, Ji Yunjie, Xilin Xia, Yuzhe Ma, Jianye Hao, Mingxuan Yuan, Yongdong Zhang, Feng Wu

    Machine Learning

    日本大学: 関与なし(対象大学)

  39. 2024 · ICML

    A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts

    Kuang-Huei Lee, Xinyun Chen, Hiroki Furuta, John Canny, Ian Fischer

    Machine Learning

    日本大学: 東京大学

  40. 2024 · ICML

    A Language Model’s Guide Through Latent Space

    Dimitri Von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann

    Machine Learning

    日本大学: 関与なし(対象大学)

  41. 2024 · ICML

    A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)

    Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani, Furong Huang, Yiannis Aloimonos

    Machine Learning

    日本大学: 関与なし(対象大学)

  42. 2024 · ICML

    A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

    Andrew Lee, Xiaoyan Bai, Itamar Pres, Martin Wattenberg, Jonathan K. Kummerfeld, Rada Mihalcea

    Machine Learning

    日本大学: 関与なし(対象大学)

  43. 2024 · ICML

    A Minimaximalist Approach to Reinforcement Learning from Human Feedback

    Gokul Swamy, Christoph Dann, Rahul Kidambi, Steven Wu, Alekh Agarwal

    Machine Learning

    日本大学: 関与なし(対象大学)

  44. 2024 · ICML

    A Multimodal Automated Interpretability Agent

    Tamar Rott Shaham, Sarah Schwettmann, Franklin Wang, Achyuta Rajaram, Evan Hernandez, Jacob Andreas, Antonio Torralba

    Machine Learning

    日本大学: 関与なし(対象大学)

  45. 2024 · ICML

    A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering

    Vincent Cohen-Addad, Tommaso D’Orsi, Aida Mousavifar

    Machine Learning

    日本大学: 関与なし(対象大学)

  46. 2024 · ICML

    A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness

    Xiaochuan Gong, Jie Hao, Mingrui Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  47. 2024 · ICML

    A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

    Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Deng Yusong, Meilan Hao

    Machine Learning

    日本大学: 関与なし(対象大学)

  48. 2024 · ICML

    A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions

    Kai Weixian Lan, Elias Gueidon, Ayano Kaneda, Julian Panetta, Joseph Teran

    Machine Learning

    日本大学: 早稲田大学

  49. 2024 · ICML

    A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems

    Theo Guyard, Cédric Herzet, Clément Elvira, Ayse-Nur Arslan

    Machine Learning

    日本大学: 関与なし(対象大学)

  50. 2024 · ICML

    A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces

    Tobia Boschi, Francesca Bonin, Rodrigo Ordonez-Hurtado, Alessandra Pascale, Jonathan P Epperlein

    Machine Learning

    日本大学: 関与なし(対象大学)

  51. 2024 · ICML

    A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization

    Ashwinee Panda, Xinyu Tang, Saeed Mahloujifar, Vikash Sehwag, Prateek Mittal

    Machine Learning

    日本大学: 関与なし(対象大学)

  52. 2024 · ICML

    A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions

    Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang

    Machine Learning

    日本大学: 関与なし(対象大学)

  53. 2024 · ICML

    A New Theoretical Perspective on Data Heterogeneity in Federated Optimization

    Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji

    Machine Learning

    日本大学: 関与なし(対象大学)

  54. 2024 · ICML

    A Persuasive Approach to Combating Misinformation

    Safwan Hossain, Andjela Mladenovic, Yiling Chen, Gauthier Gidel

    Machine Learning

    日本大学: 関与なし(対象大学)

  55. 2024 · ICML

    A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs

    Kihyuk Hong, Ambuj Tewari

    Machine Learning

    日本大学: 関与なし(対象大学)

  56. 2024 · ICML

    A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs

    Lars Veefkind, Gabriele Cesa

    Machine Learning

    日本大学: 関与なし(対象大学)

  57. 2024 · ICML

    A Provable Decision Rule for Out-of-Distribution Detection

    Xinsong Ma, Xin Zou, Weiwei Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  58. 2024 · ICML

    A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

    Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui, Naigang Wang, Pin-Yu Chen, Christopher Carothers

    Machine Learning

    日本大学: 関与なし(対象大学)

  59. 2024 · ICML

    A Rate-Distortion View of Uncertainty Quantification

    Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski

    Machine Learning

    日本大学: 関与なし(対象大学)

  60. 2024 · ICML

    A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models

    Yihan Wu, Zhengmian Hu, Junfeng Guo, Hongyang Zhang, Heng Huang

    Machine Learning

    日本大学: 関与なし(対象大学)

  61. 2024 · ICML

    A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models

    Taehong Moon, Moonseok Choi, Eunggu Yun, Jongmin Yoon, Gayoung Lee, Jaewoong Cho, Juho Lee

    Machine Learning

    日本大学: 関与なし(対象大学)

  62. 2024 · ICML

    A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes

    Zhenwei Lin, Chenyu Xue, Qi Deng, Yinyu Ye

    Machine Learning

    日本大学: 関与なし(対象大学)

  63. 2024 · ICML

    A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules?

    Agustinus Kristiadi, Felix Strieth-Kalthoff, Marta Skreta, Pascal Poupart, Alan Aspuru-Guzik, Geoff Pleiss

    Machine Learning

    日本大学: 関与なし(対象大学)

  64. 2024 · ICML

    A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction

    Keqiang Yan, Alexandra Saxton, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

    Machine Learning

    日本大学: 関与なし(対象大学)

  65. 2024 · ICML

    A Sparsity Principle for Partially Observable Causal Representation Learning

    Danru Xu, Dingling Yao, Sebastien Lachapelle, Perouz Taslakian, Julius Von Kügelgen, Francesco Locatello, Sara Magliacane

    Machine Learning

    日本大学: 関与なし(対象大学)

  66. 2024 · ICML

    A Statistical Framework for Data-dependent Retrieval-Augmented Models

    Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

    Machine Learning

    日本大学: 関与なし(対象大学)

  67. 2024 · ICML

    A Statistical Theory of Regularization-Based Continual Learning

    Xuyang Zhao, Huiyuan Wang, Weiran Huang, Wei Lin

    Machine Learning

    日本大学: 関与なし(対象大学)

  68. 2024 · ICML

    A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle

    Nadav Hallak, Kfir Yehuda Levy

    Machine Learning

    日本大学: 関与なし(対象大学)

  69. 2024 · ICML

    A Subquadratic Time Algorithm for Robust Sparse Mean Estimation

    Ankit Pensia

    Machine Learning

    日本大学: 関与なし(対象大学)

  70. 2024 · ICML

    A Tale of Tails: Model Collapse as a Change of Scaling Laws

    Elvis Dohmatob, Yunzhen Feng, Pu Yang, Francois Charton, Julia Kempe

    Machine Learning

    日本大学: 関与なし(対象大学)

  71. 2024 · ICML

    A Tensor Decomposition Perspective on Second-order RNNs

    Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal, Guillaume Rabusseau

    Machine Learning

    日本大学: 関与なし(対象大学)

  72. 2024 · ICML

    A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks

    Boqi Li, Weiwei Liu

    Machine Learning

    日本大学: 関与なし(対象大学)

  73. 2024 · ICML

    A Theory of Fault-Tolerant Learning

    Changlong Wu, Yifan Wang, Ananth Grama

    Machine Learning

    日本大学: 関与なし(対象大学)

  74. 2024 · ICML

    A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks

    Behrad Moniri, Donghwan Lee, Hamed Hassani, Edgar Dobriban

    Machine Learning

    日本大学: 関与なし(対象大学)

  75. 2024 · ICML

    A Touch, Vision, and Language Dataset for Multimodal Alignment

    Letian Fu, Gaurav Datta, Huang Huang, William Chung-Ho Panitch, Jaimyn Drake, Joseph Ortiz, Mustafa Mukadam, Mike Lambeta, Roberto Calandra, Ken Goldberg

    Machine Learning

    日本大学: 関与なし(対象大学)

  76. 2024 · ICML

    A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

    Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen

    Machine Learning

    日本大学: 関与なし(対象大学)

  77. 2024 · ICML

    A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

    Ben Adcock, Juan M. Cardenas, Nick Dexter

    Machine Learning

    日本大学: 関与なし(対象大学)

  78. 2024 · ICML

    A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback

    Kihyun Kim, Jiawei Zhang, Asuman E. Ozdaglar, Pablo Parrilo

    Machine Learning

    日本大学: 関与なし(対象大学)

  79. 2024 · ICML

    A Unified View of FANOVA: A Comprehensive Bayesian Framework for Component Selection and Estimation

    Yosra Marnissi, Maxime Leiber

    Machine Learning

    日本大学: 関与なし(対象大学)

  80. 2024 · ICML

    A Universal Class of Sharpness-Aware Minimization Algorithms

    Behrooz Tahmasebi, Ashkan Soleymani, Dara Bahri, Stefanie Jegelka, Patrick Jaillet

    Machine Learning

    日本大学: 関与なし(対象大学)

  81. 2024 · ICML

    A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles

    Phillip Kerger, Marco Molinaro, Hongyi Jiang, Amitabh Basu

    Machine Learning

    日本大学: 関与なし(対象大学)

  82. 2024 · ICML

    A connection between Tempering and Entropic Mirror Descent

    Nicolas Chopin, Francesca Crucinio, Anna Korba

    Machine Learning

    日本大学: 関与なし(対象大学)

  83. 2024 · ICML

    A decoder-only foundation model for time-series forecasting

    Abhimanyu Das, Weihao Kong, Rajat Sen, Yichen Zhou

    Machine Learning

    日本大学: 関与なし(対象大学)

  84. 2024 · ICML

    A fast algorithm to simulate nonlinear resistive networks

    Benjamin Scellier

    Machine Learning

    日本大学: 関与なし(対象大学)

  85. 2024 · ICML

    A sampling theory perspective on activations for implicit neural representations

    Hemanth Saratchandran, Sameera Ramasinghe, Violetta Shevchenko, Alexander Long, Simon Lucey

    Machine Learning

    日本大学: 関与なし(対象大学)

  86. 2024 · ICML

    A2Q+: Improving Accumulator-Aware Weight Quantization

    Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig, Yaman Umuroglu

    Machine Learning

    日本大学: 関与なし(対象大学)

  87. 2024 · ICML

    A3S: A General Active Clustering Method with Pairwise Constraints

    Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  88. 2024 · ICML

    ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization

    Tianying Ji, Yongyuan Liang, Yan Zeng, Yu Luo, Guowei Xu, Jiawei Guo, Ruijie Zheng, Furong Huang, Fuchun Sun, Huazhe Xu

    Machine Learning

    日本大学: 関与なし(対象大学)

  89. 2024 · ICML

    ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation

    Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan

    Machine Learning

    日本大学: 関与なし(対象大学)

  90. 2024 · ICML

    ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints

    Akhil Agnihotri, Rahul Jain, Haipeng Luo

    Machine Learning

    日本大学: 関与なし(対象大学)

  91. 2024 · ICML

    AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

    Yucen Wang, Shenghua Wan, Le Gan, Shuai Feng, De-Chuan Zhan

    Machine Learning

    日本大学: 関与なし(対象大学)

  92. 2024 · ICML

    AI Alignment with Changing and Influenceable Reward Functions

    Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan

    Machine Learning

    日本大学: 関与なし(対象大学)

  93. 2024 · ICML

    AI Control: Improving Safety Despite Intentional Subversion

    Ryan Greenblatt, Buck Shlegeris, Kshitij Sachan, Fabien Roger

    Machine Learning

    日本大学: 関与なし(対象大学)

  94. 2024 · ICML

    ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data

    Carmen Martin Turrero, Maxence Bouvier, Manuel Breitenstein, Pietro Zanuttigh, Vincent Parret

    Machine Learning

    日本大学: 関与なし(対象大学)

  95. 2024 · ICML

    AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training

    Li Ding, Wen Fei, Yuyang Huang, Shuangrui Ding, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

    Machine Learning

    日本大学: 関与なし(対象大学)

  96. 2024 · ICML

    AND: Audio Network Dissection for Interpreting Deep Acoustic Models

    Tung-Yu Wu, Yu-Xiang Lin, Tsui-Wei Weng

    Machine Learning

    日本大学: 関与なし(対象大学)

  97. 2024 · ICML

    APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference

    Bowen Zhao, Hannaneh Hajishirzi, Qingqing Cao

    Machine Learning

    日本大学: 関与なし(対象大学)

  98. 2024 · ICML

    AST-T5: Structure-Aware Pretraining for Code Generation and Understanding

    Linyuan Gong, Mostafa Elhoushi, Alvin Cheung

    Machine Learning

    日本大学: 関与なし(対象大学)

  99. 2024 · ICML

    ATraDiff: Accelerating Online Reinforcement Learning with Imaginary Trajectories

    Qianlan Yang, Yu-Xiong Wang

    Machine Learning

    日本大学: 関与なし(対象大学)

  100. 2024 · ICML

    Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence

    Weiye Zhao, Feihan Li, Yifan Sun, Rui Chen, Tianhao Wei, Changliu Liu

    Machine Learning

    日本大学: 関与なし(対象大学)