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
Generating Adversarial Computer Programs using Optimized Obfuscations
Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Generating Furry Cars: Disentangling Object Shape and Appearance across Multiple Domains
Utkarsh Ojha, Krishna Kumar Singh, Yong Jae Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule
Shuhei Kurita, Kyunghyun Cho
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Generative Scene Graph Networks
Fei Deng, Zhuo Zhi, Donghun Lee, Sungjin Ahn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Generative Time-series Modeling with Fourier Flows
Ahmed Alaa, Alex Chan, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning
Enrico Marchesini, Davide Corsi, Alessandro Farinelli
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Geometry-Aware Gradient Algorithms for Neural Architecture Search
Liam Li, Mikhail Khodak, Nina Balcan, Ameet Talwalkar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Geometry-aware Instance-reweighted Adversarial Training
Jingfeng Zhang, Jianing ZHU, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli
Machine Learning
日本大学: 東京大学
2021 · ICLR
Getting a CLUE: A Method for Explaining Uncertainty Estimates
Javier Antorán, Umang Bhatt, Tameem Adel, Adrian Weller, José Miguel Hernández Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham, Phan-Minh Nguyen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Global optimality of softmax policy gradient with single hidden layer neural networks in the mean-field regime
Andrea Agazzi, Jianfeng Lu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Go with the flow: Adaptive control for Neural ODEs
Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing
Tao Yu, Chien-Sheng Wu, Xi V Lin, bailin wang, Yi Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy Cohen, Simran Kaur, Yuanzhi Li, Zico Kolter, Ameet Talwalkar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Gradient Origin Networks
Sam Bond-Taylor, Chris G Willcocks
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Gradient Projection Memory for Continual Learning
Gobinda Saha, Isha Garg, Kaushik Roy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models
Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph Coarsening with Neural Networks
Chen Cai, Dingkang Wang, Yusu Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph Convolution with Low-rank Learnable Local Filters
Xiuyuan Cheng, Zichen Miao, Qiang Qiu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph Edit Networks
Benjamin Paassen, Daniele Grattarola, Daniele Zambon, Cesare Alippi, Barbara E Hammer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph Information Bottleneck for Subgraph Recognition
Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph Traversal with Tensor Functionals: A Meta-Algorithm for Scalable Learning
Elan Markowitz, Keshav Balasubramanian, Mehrnoosh Mirtaheri, Sami Abu-El-Haija, Bryan Perozzi, Greg Ver Steeg, Aram Galstyan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Graph-Based Continual Learning
Binh Tang, David S Matteson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
GraphCodeBERT: Pre-training Code Representations with Data Flow
Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie LIU, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Greedy-GQ with Variance Reduction: Finite-time Analysis and Improved Complexity
Shaocong Ma, Ziyi Chen, Yi Zhou, Shaofeng Zou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Grounded Language Learning Fast and Slow
Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, Stephen Clark
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Grounding Language to Autonomously-Acquired Skills via Goal Generation
Ahmed Akakzia, Cédric Colas, Pierre-Yves Oudeyer, Mohamed CHETOUANI, Olivier Sigaud
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning
Zhenfang Chen, Jiayuan Mao, Jiajun Wu, Kwan-Yee K Wong, Joshua B Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Group Equivariant Conditional Neural Processes
Makoto Kawano, Wataru Kumagai, Akiyoshi Sannai, Yusuke Iwasawa, Yutaka Matsuo
Machine Learning
日本大学: 東京大学
2021 · ICLR
Group Equivariant Generative Adversarial Networks
Neel Dey, Antong Chen, Soheil Ghafurian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Group Equivariant Stand-Alone Self-Attention For Vision
David W. Romero, Jean-Baptiste Cordonnier
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Growing Efficient Deep Networks by Structured Continuous Sparsification
Xin Yuan, Pedro Savarese, Michael Maire
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
Chaojian Li, Zhongzhi Yu, Yonggan Fu, Yongan Zhang, Yang Zhao, Haoran You, Qixuan Yu, Yue Wang, Cong Hao, Yingyan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents
Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds
Bogdan Georgiev, Lukas Franken, Mayukh Mukherjee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients
Enmao Diao, Jie Ding, VAHID TAROKH
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization
Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Hierarchical Autoregressive Modeling for Neural Video Compression
Ruihan Yang, Yibo Yang, Joe Marino, Stephan Mandt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Hierarchical Reinforcement Learning by Discovering Intrinsic Options
Jesse Zhang, Haonan Yu, Wei Xu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
High-Capacity Expert Binary Networks
Adrian Bulat, Brais Martinez, Georgios Tzimiropoulos
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Hopfield Networks is All You Need
Hubert Ramsauer, Bernhard Schäfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David Kreil, Michael K Kopp, Günter Klambauer, Johannes Brandstetter, Sepp Hochreiter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Hopper: Multi-hop Transformer for Spatiotemporal Reasoning
Honglu Zhou, Asim Kadav, Farley Lai, Alexandru Niculescu-Mizil, Martin Min, Mubbasir Kapadia, Hans P Graf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
How Benign is Benign Overfitting ?
Amartya Sanyal, Puneet Dokania, Varun Kanade, Philip Torr
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
How Does Mixup Help With Robustness and Generalization?
Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, James Zou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks
Keyulu Xu, Mozhi Zhang, Jingling Li, Simon Du, Ken-Ichi Kawarabayashi, Stefanie Jegelka
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision
Dongkwan Kim, Alice Oh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray, Adam Lerer, Anton Bakhtin, Noam Brown
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
HyperDynamics: Meta-Learning Object and Agent Dynamics with Hypernetworks
Zhou Xian, Shamit Lal, Hsiao-Yu Tung, Anthony Platanios, Katerina Fragkiadaki
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
HyperGrid Transformers: Towards A Single Model for Multiple Tasks
Yi Tay, Zhe Zhao, Dara Bahri, Donald Metzler, Da-Cheng Juan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Hyperbolic Neural Networks++
Ryohei Shimizu, YUSUKE Mukuta, Tatsuya Harada
Machine Learning
日本大学: 東京大学
2021 · ICLR
IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression
Rianne van den Berg, Alexey Gritsenko, Mostafa Dehghani, Casper Sønderby, Tim Salimans
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
Manli Zhang, Jianhong Zhang, Zhiwu Lu, Tao Xiang, Mingyu Ding, Songfang Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Yuhuai Wu, Albert Jiang, Jimmy Ba, Roger Grosse
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
IOT: Instance-wise Layer Reordering for Transformer Structures
Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Identifying Physical Law of Hamiltonian Systems via Meta-Learning
Seungjun Lee, Haesang Yang, Woojae Seong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt, Georgia Koppe, Zahra Monfared, Max Beutelspacher, Daniel Durstewitz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels
Denis Yarats, Ilya Kostrikov, Rob Fergus
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Yuxuan Zhang, Wenzheng Chen, Huan Ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Impact of Representation Learning in Linear Bandits
Jiaqi Yang, Wei Hu, Jason Lee, Simon Du
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen, Mert Pilanci
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Implicit Gradient Regularization
David Barrett, Benoit Dherin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Implicit Normalizing Flows
Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Implicit Under-Parameterization Inhibits Data-Efficient Deep Reinforcement Learning
Aviral Kumar, Rishabh Agarwal, Dibya Ghosh, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improve Object Detection with Feature-based Knowledge Distillation: Towards Accurate and Efficient Detectors
Linfeng Zhang, Kaisheng Ma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improved Autoregressive Modeling with Distribution Smoothing
Chenlin Meng, Jiaming Song, Yang Song, Shengjia Zhao, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces
Jack Prescott, XIAO ZHANG, David Evans
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improving Adversarial Robustness via Channel-wise Activation Suppressing
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein
Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improving Transformation Invariance in Contrastive Representation Learning
Adam Foster, Rattana Pukdee, Tom Rainforth
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improving VAEs' Robustness to Adversarial Attack
Matthew Willetts, Alexander Camuto, Tom Rainforth, S Roberts, Christopher Holmes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Improving Zero-Shot Voice Style Transfer via Disentangled Representation Learning
Siyang Yuan, Pengyu Cheng, Ruiyi Zhang, Weituo Hao, Zhe Gan, Lawrence Carin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning
Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S Rawat, Mubarak Shah
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
In Search of Lost Domain Generalization
Ishaan Gulrajani, David Lopez-Paz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Incorporating Symmetry into Deep Dynamics Models for Improved Generalization
Rui Wang, Robin Walters, Rose Yu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Incremental few-shot learning via vector quantization in deep embedded space
Kuilin Chen, Chi-Guhn Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Individually Fair Gradient Boosting
Alexander Vargo, Fan Zhang, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Individually Fair Rankings
Amanda Bower, Hamid Eftekhari, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks
Yanbang Wang, Yen-Yu Chang, Yunyu Liu, Jure Leskovec, Pan Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Influence Estimation for Generative Adversarial Networks
Naoyuki Terashita, Hiroki Ohashi, Yuichi Nonaka, Takashi Kanemaru
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Influence Functions in Deep Learning Are Fragile
Samyadeep Basu, Phil Pope, Soheil Feizi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Information Laundering for Model Privacy
Xinran Wang, Yu Xiang, Jun Gao, Jie Ding
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Initialization and Regularization of Factorized Neural Layers
Mikhail Khodak, Neil Tenenholtz, Lester Mackey, Nicolo Fusi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Integrating Categorical Semantics into Unsupervised Domain Translation
Samuel Lavoie, Faruk Ahmed, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling
Benedikt Boecking, Willie Neiswanger, Eric P Xing, Artur Dubrawski
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interpretable Models for Granger Causality Using Self-explaining Neural Networks
Ričards Marcinkevičs, Julia E Vogt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels
Binxin Ru, Xingchen Wan, Xiaowen Dong, Michael Osborne
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
Michael Schlichtkrull, Nicola De Cao, Ivan Titov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen, Ivana Balazevic, Timothy Hospedales
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Interpreting and Boosting Dropout from a Game-Theoretic View
Hao Zhang, Sen Li, YinChao Ma, Mingjie Li, Yichen Xie, Quanshi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Into the Wild with AudioScope: Unsupervised Audio-Visual Separation of On-Screen Sounds
Efthymios Tzinis, Scott Wisdom, Aren Jansen, Shawn Hershey, Tal Remez, Dan Ellis, John Hershey
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle, Christophe De Vleeschouwer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures
Pedro Hermosilla Casajus, Marco Schäfer, Matej Lang, Gloria Fackelmann, Pere-Pau Vázquez, Barbora Kozlikova, Michael Krone, Tobias Ritschel, Timo Ropinski
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng, Meng-Hao Guo, Hongxu None Chen, Xia Li, Ke Wei, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study
Zhiqiang Shen, Zhiqiang Shen, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
IsarStep: a Benchmark for High-level Mathematical Reasoning
Wenda Li, Lei Yu, Yuhuai Wu, Lawrence Paulson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Isometric Transformation Invariant and Equivariant Graph Convolutional Networks
Masanobu Horie, Naoki Morita, Toshiaki Hishinuma, Yu Ihara, Naoto Mitsume
Machine Learning
日本大学: 筑波大学