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。

2022 · NeurIPS
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
Ilyes Batatia, David P Kovacs, Gregor Simm, Christoph Ortner, Gabor Csanyi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching
Yan Huang, Yuming Wang, Yunan Zeng, Liang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MAgNet: Mesh Agnostic Neural PDE Solver
Oussama Boussif, Yoshua Bengio, Loubna Benabbou, Dan Assouline
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MAtt: A Manifold Attention Network for EEG Decoding
Yue-Ting Pan, Jing-Lun Chou, Chun-Shu Wei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators
Jinyoung Choi, Bohyung Han
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MCMAE: Masked Convolution Meets Masked Autoencoders
Peng Gao, Teli Ma, Hongsheng Li, Ziyi Lin, Jifeng Dai, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MCVD - Masked Conditional Video Diffusion for Prediction, Generation, and Interpolation
Vikram Voleti, Alexia Jolicoeur-Martineau, Chris Pal
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MEMO: Test Time Robustness via Adaptation and Augmentation
Marvin Zhang, Sergey Levine, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MExMI: Pool-based Active Model Extraction Crossover Membership Inference
Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MGNNI: Multiscale Graph Neural Networks with Implicit Layers
Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Xiaokui Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MORA: Improving Ensemble Robustness Evaluation with Model Reweighing Attack
yunrui yu, Xitong Gao, Cheng-Zhong Xu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MOVE: Unsupervised Movable Object Segmentation and Detection
Adam Bielski, Paolo Favaro
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Peng Mi, Li Shen, Tianhe Ren, Yiyi Zhou, Xiaoshuai Sun, Rongrong Ji, Dacheng Tao
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Make Some Noise: Reliable and Efficient Single-Step Adversarial Training
Pau de Jorge Aranda, Adel Bibi, Riccardo Volpi, Amartya Sanyal, Philip Torr, Gregory Rogez, Puneet Dokania
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Yu-Hsuan Li, Tzu-Yin Chao, Ching-Chun Huang, Pin-Yu Chen, Wei-Chen Chiu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Making Look-Ahead Active Learning Strategies Feasible with Neural Tangent Kernels
Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Making Sense of Dependence: Efficient Black-box Explanations Using Dependence Measure
Paul Novello, Thomas FEL, David Vigouroux
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Manifold Interpolating Optimal-Transport Flows for Trajectory Inference
Guillaume Huguet, Daniel Sumner Magruder, Alexander Tong, Oluwadamilola Fasina, Manik Kuchroo, Guy Wolf, Smita Krishnaswamy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Yixiong Zou, Shanghang Zhang, Yuhua Li, Ruixuan Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
Kyurae Kim, Jisu Oh, Jacob Gardner, Adji Bousso Dieng, Hongseok Kim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Markovian Interference in Experiments
Vivek Farias, Andrew Li, Tianyi Peng, Andrew Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Khoa D Doan, Yingjie Lao, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mask Matching Transformer for Few-Shot Segmentation
siyu jiao, Gengwei Zhang, Shant Navasardyan, Ling Chen, Yao Zhao, Yunchao Wei, Humphrey Shi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mask-based Latent Reconstruction for Reinforcement Learning
Tao Yu, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning
Yao Lai, Yao Mu, Ping Luo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MaskTune: Mitigating Spurious Correlations by Forcing to Explore
Saeid Asgari, Aliasghar Khani, Fereshte Khani, Ali Gholami, Linh Tran, Ali Mahdavi Amiri, Ghassan Hamarneh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Masked Autoencoders As Spatiotemporal Learners
Christoph Feichtenhofer, haoqi fan, Yanghao Li, Kaiming He
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Masked Autoencoders that Listen
Po-Yao Huang, Hu Xu, Juncheng Li, Alexei Baevski, Michael Auli, Wojciech Galuba, Florian Metze, Christoph Feichtenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Masked Autoencoding for Scalable and Generalizable Decision Making
Fangchen Liu, Hao Liu, Aditya Grover, Pieter Abbeel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Masked Generative Adversarial Networks are Data-Efficient Generation Learners
Jiaxing Huang, Kaiwen Cui, Dayan Guan, Aoran Xiao, Fangneng Zhan, Shijian Lu, Shengcai Liao, Eric P. Xing
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Masked Prediction: A Parameter Identifiability View
Bingbin Liu, Daniel J. Hsu, Pradeep K. Ravikumar, Andrej Risteski
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Matching in Multi-arm Bandit with Collision
YiRui Zhang, Siwei Wang, Zhixuan Fang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence
Rahul Jain, Georgios Piliouras, Ryann Sim
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Matryoshka Representation Learning
Aditya Kusupati, Gantavya Bhatt, Aniket Rege, Matthew Wallingford, Aditya Sinha, Vivek Ramanujan, William Howard-Snyder, Kaifeng Chen, Sham Kakade, Prateek Jain, Ali Farhadi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Max-Min Off-Policy Actor-Critic Method Focusing on Worst-Case Robustness to Model Misspecification
Takumi Tanabe, Rei Sato, Kazuto Fukuchi, Jun Sakuma, Youhei Akimoto
Machine Learning
日本大学: 筑波大学
2022 · NeurIPS
Maximizing Revenue under Market Shrinkage and Market Uncertainty
Maria-Florina F Balcan, Siddharth Prasad, Tuomas Sandholm
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
Parth Thaker, Mohit Malu, Nikhil Rao, Gautam Dasarathy
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximum Class Separation as Inductive Bias in One Matrix
Tejaswi Kasarla, Gertjan Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks
Indradyumna Roy, Soumen Chakrabarti, Abir De
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximum Likelihood Training of Implicit Nonlinear Diffusion Model
Dongjun Kim, Byeonghu Na, Se Jung Kwon, Dongsoo Lee, Wanmo Kang, Il-chul Moon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximum a posteriori natural scene reconstruction from retinal ganglion cells with deep denoiser priors
Eric Wu, Nora Brackbill, Alexander Sher, Alan Litke, Eero P. Simoncelli, E. J. Chichilnisky
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees
Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mean Estimation in High-Dimensional Binary Markov Gaussian Mixture Models
Yihan Zhang, Nir Weinberger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mean Estimation with User-level Privacy under Data Heterogeneity
Rachel Cummings, Vitaly Feldman, Audra McMillan, Kunal Talwar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Measures of Information Reflect Memorization Patterns
Rachit Bansal, Danish Pruthi, Yonatan Belinkov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Measuring Data Reconstruction Defenses in Collaborative Inference Systems
Mengda Yang, Ziang Li, Juan Wang, Hongxin Hu, Ao Ren, Xiaoyang Xu, Wenzhe Yi
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala, Aram Markosyan, Luke Zettlemoyer, Armen Aghajanyan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization
Simone Bombari, Mohammad Hossein Amani, Marco Mondelli
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Memory Efficient Continual Learning with Transformers
Beyza Ermis, Giovanni Zappella, Martin Wistuba, Aditya Rawal, Cedric Archambeau
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Memory safe computations with XLA compiler
Artem Artemev, Yuze An, Tilman Roeder, Mark van der Wilk
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Merging Models with Fisher-Weighted Averaging
Michael S Matena, Colin A Raffel
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mesoscopic modeling of hidden spiking neurons
Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach
Zohar Rimon, Aviv Tamar, Gilad Adler
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations
Xiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian CHU, Fan Yu, Bei Hua, Lei Chen, Bin Dong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Complementing the Semantics of Short Texts in Neural Topic Models
Delvin Ce Zhang, Hady Lauw
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong, Zhixiang Chi, Li Gu, Yang Wang, Yuanhao Yu, Jin Tang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Learning Dynamics Forecasting Using Task Inference
Rui Wang, Robin Walters, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Learning with Self-Improving Momentum Target
Jihoon Tack, Jongjin Park, Hankook Lee, Jaeho Lee, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning
Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Reinforcement Learning with Self-Modifying Networks
Mathieu Chalvidal, Thomas Serre, Rufin VanRullen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-Reward-Net: Implicitly Differentiable Reward Learning for Preference-based Reinforcement Learning
Runze Liu, Fengshuo Bai, Yali Du, Yaodong Yang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks
Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MetaMask: Revisiting Dimensional Confounder for Self-Supervised Learning
Jiangmeng Li, Wenwen Qiang, Yanan Zhang, Wenyi Mo, Changwen Zheng, Bing Su, Hui Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MetaTeacher: Coordinating Multi-Model Domain Adaptation for Medical Image Classification
Zhenbin Wang, Mao Ye, Xiatian Zhu, Liuhan Peng, Liang Tian, Yingying Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning
Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders
Kiarash Zahirnia, Oliver Schulte, Parmis Naddaf, Ke Li
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mildly Conservative Q-Learning for Offline Reinforcement Learning
Jiafei Lyu, Xiaoteng Ma, Xiu Li, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MinVIS: A Minimal Video Instance Segmentation Framework without Video-based Training
De-An Huang, Zhiding Yu, Anima Anandkumar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mind Reader: Reconstructing complex images from brain activities
Sikun Lin, Thomas Sprague, Ambuj K Singh
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Victor Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, James Y Zou
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mingling Foresight with Imagination: Model-Based Cooperative Multi-Agent Reinforcement Learning
Zhiwei Xu, dapeng li, Bin Zhang, Yuan Zhan, Yunpeng Baiia, Guoliang Fan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Minimax Optimal Algorithms for Fixed-Budget Best Arm Identification
Junpei Komiyama, Taira Tsuchiya, Junya Honda
Machine Learning
日本大学: 京都大学
2022 · NeurIPS
Minimax Optimal Fixed-Budget Best Arm Identification in Linear Bandits
Junwen Yang, Vincent Tan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Minimax Optimal Online Imitation Learning via Replay Estimation
Gokul Swamy, Nived Rajaraman, Matt Peng, Sanjiban Choudhury, J. A. Bagnell, Steven Z. Wu, Jiantao Jiao, Kannan Ramchandran
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Minimax Regret for Cascading Bandits
Daniel Vial, Sujay Sanghavi, Sanjay Shakkottai, R. Srikant
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model
Gen Li, Yuejie Chi, Yuting Wei, Yuxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mining Multi-Label Samples from Single Positive Labels
Youngin Cho, Daejin Kim, MOHAMMAD AZAM KHAN, Jaegul Choo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation
Zekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun, Kwangjun Ahn, Christos Thrampoulidis, Navid Azizan
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mirror Descent with Relative Smoothness in Measure Spaces, with application to Sinkhorn and EM
Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mismatched No More: Joint Model-Policy Optimization for Model-Based RL
Benjamin Eysenbach, Alexander Khazatsky, Sergey Levine, Ruslan Salakhutdinov
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
Erdun Gao, Ignavier Ng, Mingming Gong, Li Shen, Wei Huang, Tongliang Liu, Kun Zhang, Howard Bondell
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
Ignacio Peis, Chao Ma, José Miguel Hernández-Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Misspecified Phase Retrieval with Generative Priors
Zhaoqiang Liu, Xinshao Wang, Jiulong Liu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Mixture-of-Experts with Expert Choice Routing
Yanqi Zhou, Tao Lei, Hanxiao Liu, Nan Du, Yanping Huang, Vincent Zhao, Andrew M Dai, zhifeng Chen, Quoc V Le, James Laudon
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MoCoDA: Model-based Counterfactual Data Augmentation
Silviu Pitis, Elliot Creager, Ajay Mandlekar, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation
Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation
Chuanxia Zheng, Tung-Long Vuong, Jianfei Cai, Dinh Phung
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model Preserving Compression for Neural Networks
Jerry Chee, Megan Flynn (née Renz), Anil Damle, Christopher M De Sa
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-Based Imitation Learning for Urban Driving
Anthony Hu, Gianluca Corrado, Nicolas Griffiths, Zachary Murez, Corina Gurau, Hudson Yeo, Alex Kendall, Roberto Cipolla, Jamie Shotton
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief
Kaiyang Guo, Shao Yunfeng, Yanhui Geng
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-Based Opponent Modeling
XiaoPeng Yu, Jiechuan Jiang, Wanpeng Zhang, Haobin Jiang, Zongqing Lu
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu, Shangqun Yu, Michael L. Littman, George Konidaris
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity
Alekh Agarwal, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm
Ashish K Jayant, Shalabh Bhatnagar
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Modeling Human Exploration Through Resource-Rational Reinforcement Learning
Marcel Binz, Eric Schulz
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings
Dongxu Zhang, Michael Boratko, Cameron Musco, Andrew McCallum
Machine Learning
日本大学: 関与なし（対象大学）
2022 · NeurIPS
Modeling the Machine Learning Multiverse
Samuel J. Bell, Onno Kampman, Jesse Dodge, Neil D. Lawrence
Machine Learning
日本大学: 関与なし（対象大学）