ICLR

2021–2025 確定版

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Machine Learning

2021 · 860 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。

2021 · ICLR
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning
Shauharda Khadka, Estelle Aflalo, Mattias Marder, Avrech Ben-David, Santiago Miret, Shie Mannor, Tamir Hazan, Hanlin Tang, Somdeb Majumdar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Orthogonalizing Convolutional Layers with the Cayley Transform
Asher Trockman, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Overfitting for Fun and Profit: Instance-Adaptive Data Compression
Ties van Rozendaal, Iris Huijben, Taco Cohen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Overparameterisation and worst-case generalisation: friend or foe?
Aditya Krishna Menon, Ankit Singh Rawat, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PAC Confidence Predictions for Deep Neural Network Classifiers
Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PC2WF: 3D Wireframe Reconstruction from Raw Point Clouds
Yujia Liu, Stefano D'Aronco, Konrad Schindler, Jan D Wegner
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PDE-Driven Spatiotemporal Disentanglement
Jérémie DONA, Jean-Yves Franceschi, sylvain lamprier, patrick gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PMI-Masking: Principled masking of correlated spans
Yoav Levine, Barak Lenz, Opher Lieber, Omri Abend, Kevin Leyton-Brown, Moshe Tennenholtz, Yoav Shoham
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences
Hehe Fan, Xin Yu, Yuhang Ding, Yi Yang, Mohan Kankanhalli
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Parameter Efficient Multimodal Transformers for Video Representation Learning
Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas Breuel, Jan Kautz, Yale Song
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Parameter-Based Value Functions
Francesco Faccio, Louis Kirsch, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Parrot: Data-Driven Behavioral Priors for Reinforcement Learning
Avi Singh, Huihan Liu, Gaoyue Zhou, Albert Yu, Nicholas Rhinehart, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Partitioned Learned Bloom Filters
Kapil Vaidya, Eric Knorr, Michael Mitzenmacher, Tim Kraska
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Personalized Federated Learning with First Order Model Optimization
Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, Jose M. Alvarez
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Physics-aware, probabilistic model order reduction with guaranteed stability
Sebastian Kaltenbach, PS Koutsourelakis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Plan-Based Relaxed Reward Shaping for Goal-Directed Tasks
Ingmar Schubert, Ozgur Oguz, Marc Toussaint
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Planning from Pixels using Inverse Dynamics Models
Keiran Paster, Sheila McIlraith, Jimmy Ba
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang, Yuanming Hu, Tao Du, Siyuan Zhou, Hao Su, Joshua B Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PolarNet: Learning to Optimize Polar Keypoints for Keypoint Based Object Detection
wu xiongwei, Doyen Sahoo, Steven HOI
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples
Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design
Xiufeng Yang, Tanuj Aasawat, Kazuki Yoshizoe
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Practical Real Time Recurrent Learning with a Sparse Approximation
Jacob Menick, Erich Elsen, Utku Evci, Simon Osindero, Karen Simonyan, Alex Graves
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Pre-training Text-to-Text Transformers for Concept-centric Common Sense
Wangchunshu Zhou, Dong-Ho Lee, Ravi Kiran Selvam, Seyeon Lee, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Predicting Classification Accuracy When Adding New Unobserved Classes
Yuli Slavutsky, Yuval Benjamini
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Predicting Inductive Biases of Pre-Trained Models
Charles Lovering, Rohan Jha, Tal Linzen, Ellie Pavlick
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Predicting Infectiousness for Proactive Contact Tracing
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B Muller, Meng Qu, victor schmidt, Pierre-luc St-charles, hannah alsdurf, Olexa Bilaniuk, david buckeridge, Gaétan Marceau Caron, pierre carrier, Joumana Ghosn, satya gagne, Chris J Pal, Irina Rish, Bernhard Schoelkopf, abhinav sharma, Jian Tang, Andrew Williams
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Prediction and generalisation over directed actions by grid cells
Changmin Yu, Timothy Behrens, Neil Burgess
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Primal Wasserstein Imitation Learning
Robert Dadashi, Léonard Hussenot-Desenonges, Matthieu Geist, Olivier Pietquin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Private Image Reconstruction from System Side Channels Using Generative Models
Yuanyuan Yuan, Shuai Wang, Junping Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Private Post-GAN Boosting
Marcel Neunhoeffer, Steven Wu, Cynthia Dwork
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Probabilistic Numeric Convolutional Neural Networks
Marc Finzi, Roberto Bondesan, Max Welling
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Probing BERT in Hyperbolic Spaces
Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Progressive Skeletonization: Trimming more fat from a network at initialization
Pau de Jorge Aranda, Amartya Sanyal, Harkirat Singh Behl, Philip Torr, Grégory Rogez, Puneet Dokania
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows
Chris Cannella, Mohammadreza Soltani, VAHID TAROKH
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Property Controllable Variational Autoencoder via Invertible Mutual Dependence
Xiaojie Guo, Yuanqi Du, Liang Zhao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Protecting DNNs from Theft using an Ensemble of Diverse Models
Sanjay Kariyappa, Atul Prakash, Moinuddin K Qureshi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Prototypical Contrastive Learning of Unsupervised Representations
Junnan Li, Pan Zhou, Caiming Xiong, Steven Hoi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Prototypical Representation Learning for Relation Extraction
Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
Dipendra Misra, Qinghua Liu, Chi Jin, John Langford
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Provably robust classification of adversarial examples with detection
Fatemeh Sheikholeslami, Ali Lotfi, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Pruning Neural Networks at Initialization: Why Are We Missing the Mark?
Jonathan Frankle, Gintare Dziugaite, Anonymous A Author, Michael Carbin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
PseudoSeg: Designing Pseudo Labels for Semantic Segmentation
Yuliang Zou, Zizhao Zhang, Han Zhang, Chun-Liang Li, Xiao Bian, Jia-Bin Huang, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
QPLEX: Duplex Dueling Multi-Agent Q-Learning
Jianhao Wang, Zhizhou Ren, Terry Liu, Yang Yu, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Quantifying Differences in Reward Functions
Adam Gleave, Michael Dennis, Shane Legg, Stuart Russell, Jan Leike
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
R-GAP: Recursive Gradient Attack on Privacy
Junyi Zhu, Matthew Blaschko
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
RMSprop converges with proper hyper-parameter
Naichen Shi, Dawei Li, Mingyi Hong, Ruoyu Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs
Meng Qu, Junkun Chen, Louis-Pascal A Xhonneux, Yoshua Bengio, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
RODE: Learning Roles to Decompose Multi-Agent Tasks
Tonghan Wang, Tarun Gupta, Anuj Mahajan, Bei Peng, Shimon Whiteson, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Random Feature Attention
Hao Peng, Nikolaos Pappas, Dani Yogatama, Roy Schwartz, Noah Smith, Lingpeng Kong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Randomized Automatic Differentiation
Deniz Oktay, Nick McGreivy, Joshua Aduol, Alex Beatson, Ryan P Adams
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Randomized Ensembled Double Q-Learning: Learning Fast Without a Model
Xinyue Chen, Che Wang, Zijian Zhou, Keith Ross
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments
Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rao-Blackwellizing the Straight-Through Gumbel-Softmax Gradient Estimator
Max B Paulus, Chris Maddison, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets
Hayeon Lee, Eunyoung Hyung, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rapid Task-Solving in Novel Environments
Samuel Ritter, Ryan Faulkner, Laurent Sartran, Adam Santoro, Matthew Botvinick, David Raposo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schoelkopf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Reducing the Computational Cost of Deep Generative Models with Binary Neural Networks
Thomas Bird, Friso Kingma, David Barber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Refining Deep Generative Models via Discriminator Gradient Flow
Abdul Fatir Ansari, Ming Liang Ang, Harold Soh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
Zhuang Liu, Xuanlin Li, Bingyi Kang, trevor darrell
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Regularized Inverse Reinforcement Learning
Wonseok Jeon, Chen-Yang Su, Paul Barde, Thang Doan, Derek Nowrouzezahrai, Joelle Pineau
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Reinforcement Learning with Random Delays
Yann Bouteiller, Simon Ramstedt, Giovanni Beltrame, Chris J Pal, Jonathan Binas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Relating by Contrasting: A Data-efficient Framework for Multimodal Generative Models
Yuge Shi, Brooks Paige, Philip Torr, Siddharth N
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting
Sayna Ebrahimi, Suzanne Petryk, Akash Gokul, William Gan, Joseph E Gonzalez, Marcus Rohrbach, trevor darrell
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Removing Undesirable Feature Contributions Using Out-of-Distribution Data
Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Representation Balancing Offline Model-based Reinforcement Learning
Byung-Jun Lee, Jongmin Lee, Kee-Eung Kim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrovic, Brian McWilliams, Jacob C Walker, Lars Buesing, Charles Blundell
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Representation learning for improved interpretability and classification accuracy of clinical factors from EEG
Garrett Honke, Irina Higgins, Nina Thigpen, Vladimir Miskovic, Katie Link, Sunny Duan, Pramod Gupta, Julia Klawohn, Greg Hajcak
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Representing Partial Programs with Blended Abstract Semantics
Maxwell Nye, Yewen Pu, Matthew Bowers, Jacob Andreas, Joshua B Tenenbaum, Armando Solar-Lezama
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
Namyeong Kwon, Hwidong Na, Gabriel Huang, Simon Lacoste-Julien
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
ResNet After All: Neural ODEs and Their Numerical Solution
Katharina Ott, Prateek Katiyar, Philipp Hennig, Michael Tiemann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Reset-Free Lifelong Learning with Skill-Space Planning
Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking Architecture Selection in Differentiable NAS
Ruochen Wang, Minhao Cheng, Xiangning Chen, Xiaocheng Tang, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking Attention with Performers
Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Georgiana-Andreea Gane, Tamas Sarlos, Peter Hawkins, Jared Q Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J Colwell, Adrian Weller
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking Embedding Coupling in Pre-trained Language Models
Hyung Won Chung, Thibault Fevry, Henry Tsai, Melvin Johnson, Sebastian Ruder
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking Positional Encoding in Language Pre-training
Guolin Ke, Di He, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective
Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Rethinking the Role of Gradient-based Attribution Methods for Model Interpretability
Suraj Srinivas, François Fleuret
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
Shangqing Liu, Yu Chen, Xiaofei Xie, Siow Jing Kai, Yang Liu
Machine Learning
日本大学: 九州大学
2021 · ICLR
Return-Based Contrastive Representation Learning for Reinforcement Learning
Guoqing Liu, Chuheng Zhang, Li Zhao, Tao Qin, Jinhua Zhu, Li Jian, Nenghai Yu, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Revisiting Dynamic Convolution via Matrix Decomposition
Yunsheng Li, Yinpeng Chen, Xiyang Dai, mengchen liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Revisiting Few-sample BERT Fine-tuning
Tianyi Zhang, Felix Wu, Arzoo Katiyar, Kilian Weinberger, Yoav Artzi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Revisiting Locally Supervised Learning: an Alternative to End-to-end Training
Yulin Wang, Zanlin Ni, Shiji Song, Le Yang, Gao Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Reweighting Augmented Samples by Minimizing the Maximal Expected Loss
Mingyang Yi, LU HOU, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks
Christian Ali Mehmeti-Göpel, David Hartmann, Michael Wand
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Risk-Averse Offline Reinforcement Learning
Núria Armengol Urpí, Sebastian Curi, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust Curriculum Learning: from clean label detection to noisy label self-correction
Tianyi Zhou, Shengjie Wang, Jeff Bilmes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time
Yu Cheng, Honghao Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust Overfitting may be mitigated by properly learned smoothening
Tianlong Chen, Zhenyu Zhang, Sijia Liu, Shiyu Chang, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust Pruning at Initialization
Soufiane Hayou, Jean-Francois Ton, Arnaud Doucet, Yee Whye Teh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust Reinforcement Learning on State Observations with Learned Optimal Adversary
Huan Zhang, Hongge Chen, Duane S Boning, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust and Generalizable Visual Representation Learning via Random Convolutions
Zhenlin Xu, Deyi Liu, Junlin Yang, Colin Raffel, Marc Niethammer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Robust early-learning: Hindering the memorization of noisy labels
Xiaobo Xia, Tongliang Liu, Bo Han, Chen Gong, Nannan Wang, Zongyuan Ge, Yi Chang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
SAFENet: A Secure, Accurate and Fast Neural Network Inference
Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon, Yaron Lipman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing
Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed H Awadallah
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
SEDONA: Search for Decoupled Neural Networks toward Greedy Block-wise Learning
Myeongjang Pyeon, Jihwan Moon, Taeyoung Hahn, Gunhee Kim
Machine Learning
日本大学: 関与なし（対象大学）