NeurIPS

2021–2025 確定版

著者一覧 · 国際会議 · 大学ランキング

NeurIPS 公式サイト ↗

Machine Learning

2021 · 2,334 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 · NeurIPS
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
Junho Kim, Byung-Kwan Lee, Yong Man Ro
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Deep Learning In Open Collaborations
Michael Diskin, Alexey Bukhtiyarov, Max Ryabinin, Lucile Saulnier, quentin lhoest, Anton Sinitsin, Dmitry Popov, Dmitry V. Pyrkin, Maxim Kashirin, Alexander Borzunov, Albert Villanova del Moral, Denis Mazur, Ilia Kobelev, Yacine Jernite, Thomas Wolf, Gennady Pekhimenko
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Estimation with Multiple Samples per User: Sharp Rates and Phase Transition
Jayadev Acharya, Clement Canonne, Yuhan Liu, Ziteng Sun, Himanshu Tyagi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Machine Learning with Sparse Heterogeneous Data
Dominic Richards, Sahand Negahban, Patrick Rebeschini
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Principal Component Analysis with Limited Communication
Foivos Alimisis, Peter Davies, Bart Vandereycken, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Saddle-Point Problems Under Data Similarity
Aleksandr Beznosikov, Gesualdo Scutari, Alexander Rogozin, Alexander Gasnikov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributed Zero-Order Optimization under Adversarial Noise
Arya Akhavan, Massimiliano Pontil, Alexandre Tsybakov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distribution-free inference for regression: discrete, continuous, and in between
Yonghoon Lee, Rina Barber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributional Gradient Matching for Learning Uncertain Neural Dynamics Models
Lenart Treven, Philippe Wenk, Florian Dorfler, Andreas Krause
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributional Reinforcement Learning for Multi-Dimensional Reward Functions
Pushi Zhang, Xiaoyu Chen, Li Zhao, Wei Xiong, Tao Qin, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Distributionally Robust Imitation Learning
Mohammad Ali Bashiri, Brian Ziebart, Xinhua Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
Lang Liu, Krishna Pillutla, Sean Welleck, Sewoong Oh, Yejin Choi, Zaid Harchaoui
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Diverse Message Passing for Attribute with Heterophily
Liang Yang, Mengzhe Li, Liyang Liu, bingxin niu, Chuan Wang, Xiaochun Cao, Yuanfang Guo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Diversity Enhanced Active Learning with Strictly Proper Scoring Rules
Wei Tan, Lan Du, Wray Buntine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Diversity Matters When Learning From Ensembles
Giung Nam, Jongmin Yoon, Yoonho Lee, Juho Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang, Hengshuang Zhao, Ya-Li Li, Shengjin Wang, Philip Torr, Luca Bertinetto
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Input Gradients Highlight Discriminative Features?
Harshay Shah, Prateek Jain, Praneeth Netrapalli
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Alexander Filippov, Evgeny Burnaev
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Transformers Really Perform Badly for Graph Representation?
Chengxuan Ying, Tianle Cai, Shengjie Luo, Shuxin Zheng, Guolin Ke, Di He, Yanming Shen, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Vision Transformers See Like Convolutional Neural Networks?
Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, Alexey Dosovitskiy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Do Wider Neural Networks Really Help Adversarial Robustness?
Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Does Knowledge Distillation Really Work?
Samuel Stanton, Pavel Izmailov, Polina Kirichenko, Alexander A Alemi, Andrew G Wilson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Does Preprocessing Help Training Over-parameterized Neural Networks?
Zhao Song, Shuo Yang, Ruizhe Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Does enforcing fairness mitigate biases caused by subpopulation shift?
Subha Maity, Debarghya Mukherjee, Mikhail Yurochkin, Yuekai Sun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Domain Invariant Representation Learning with Domain Density Transformations
A. Tuan Nguyen, Toan Tran, Yarin Gal, Atilim Gunes Baydin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks
Wei Sun, Aojun Zhou, Sander Stuijk, Rob Wijnhoven, Andrew Oakleigh Nelson, hongsheng Li, Henk Corporaal
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Don’t Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence
Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
Yonghan Jung, Jin Tian, Elias Bareinboim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Double/Debiased Machine Learning for Dynamic Treatment Effects
Greg Lewis, Vasilis Syrgkanis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Doubly Robust Thompson Sampling with Linear Payoffs
Wonyoung Kim, Gi-Soo Kim, Myunghee Cho Paik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dr Jekyll & Mr Hyde: the strange case of off-policy policy updates
Romain Laroche, Remi Tachet des Combes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks
Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity
Ran Liu, Mehdi Azabou, Max Dabagia, Chi-Heng Lin, Mohammad Gheshlaghi Azar, Keith Hengen, Michal Valko, Eva Dyer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
Mikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks
Pál András Papp, Karolis Martinkus, Lukas Faber, Roger Wattenhofer
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions
Lijun Zhang, Guanghui Wang, Wei-Wei Tu, Wei Jiang, Zhi-Hua Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dual Parameterization of Sparse Variational Gaussian Processes
Vincent ADAM, Paul Chang, Mohammad Emtiyaz Khan, Arno Solin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dual Progressive Prototype Network for Generalized Zero-Shot Learning
Chaoqun Wang, Shaobo Min, Xuejin Chen, Xiaoyan Sun, Houqiang Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dual-stream Network for Visual Recognition
Mingyuan Mao, peng gao, Renrui Zhang, Honghui Zheng, Teli Ma, Yan Peng, Errui Ding, Baochang Zhang, Shumin Han
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DualNet: Continual Learning, Fast and Slow
Quang Pham, Chenghao Liu, Steven C. Hoi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dueling Bandits with Adversarial Sleeping
Aadirupa Saha, Pierre Gaillard
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dueling Bandits with Team Comparisons
Lee Cohen, Ulrike Schmidt-Kraepelin, Yishay Mansour
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking
Zhiyi Ma, Kawin Ethayarajh, Tristan Thrush, Somya Jain, Ledell Wu, Robin Jia, Christopher Potts, Adina Williams, Douwe Kiela
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Analysis of Higher-Order Coordination in Neuronal Assemblies via De-Sparsified Orthogonal Matching Pursuit
Shoutik Mukherjee, Behtash Babadi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Bottleneck for Robust Self-Supervised Exploration
Chenjia Bai, Lingxiao Wang, Lei Han, Animesh Garg, Jianye Hao, Peng Liu, Zhaoran Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic COVID risk assessment accounting for community virus exposure from a spatial-temporal transmission model
Yuan Chen, Wenbo Fei, Qinxia Wang, Donglin Zeng, Yuanjia Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Causal Bayesian Optimization
Virginia Aglietti, Neil Dhir, Javier González, Theodoros Damoulas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam, Chun-Fu (Richard) Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Grained Encoder for Vision Transformers
Lin Song, Songyang Zhang, Songtao Liu, Zeming Li, Xuming He, Hongbin Sun, Jian Sun, Nanning Zheng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Inference with Neural Interpreters
Nasim Rahaman, Muhammad Waleed Gondal, Shruti Joshi, Peter V. Gehler, Yoshua Bengio, Francesco Locatello, Bernhard Schölkopf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Neural Representational Decoders for High-Resolution Semantic Segmentation
Bowen Zhang, Yifan liu, Zhi Tian, Chunhua Shen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Normalization and Relay for Video Action Recognition
Dongqi Cai, Anbang Yao, Yurong Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Resolution Network
Mingjian Zhu, Kai Han, Enhua Wu, Qiulin Zhang, Ying Nie, Zhenzhong Lan, Yunhe Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Sasvi: Strong Safe Screening for Norm-Regularized Least Squares
Hiroaki Yamada, Makoto Yamada
Machine Learning
日本大学: 京都大学
2021 · NeurIPS
Dynamic Trace Estimation
Prathamesh Dharangutte, Christopher Musco
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic Visual Reasoning by Learning Differentiable Physics Models from Video and Language
Mingyu Ding, Zhenfang Chen, Tao Du, Ping Luo, Josh Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic influence maximization
Binghui Peng
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamic population-based meta-learning for multi-agent communication with natural language
Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao, Wenliang Zhao, Benlin Liu, Jiwen Lu, Jie Zhou, Cho-Jui Hsieh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamical Wasserstein Barycenters for Time-series Modeling
Kevin Cheng, Shuchin Aeron, Michael C Hughes, Eric L Miller
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamics of Stochastic Momentum Methods on Large-scale, Quadratic Models
Courtney Paquette, Elliot Paquette
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Dynamics-regulated kinematic policy for egocentric pose estimation
Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani
Machine Learning
日本大学: 慶應義塾大学
2021 · NeurIPS
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
EDGE: Explaining Deep Reinforcement Learning Policies
Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
EF21: A New, Simpler, Theoretically Better, and Practically Faster Error Feedback
Peter Richtarik, Igor Sokolov, Ilyas Fatkhullin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
EIGNN: Efficient Infinite-Depth Graph Neural Networks
Juncheng Liu, Kenji Kawaguchi, Bryan Hooi, Yiwei Wang, Xiaokui Xiao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
ELLA: Exploration through Learned Language Abstraction
Suvir Mirchandani, Siddharth Karamcheti, Dorsa Sadigh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Early Convolutions Help Transformers See Better
Tete Xiao, Mannat Singh, Eric Mintun, Trevor Darrell, Piotr Dollar, Ross B. Girshick
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Early-stopped neural networks are consistent
Ziwei Ji, Justin Li, Matus J. Telgarsky
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Edge Representation Learning with Hypergraphs
Jaehyeong Jo, Jinheon Baek, Seul Lee, Dongki Kim, Minki Kang, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
EditGAN: High-Precision Semantic Image Editing
Huan Ling, Karsten Kreis, Daiqing Li, Seung Wook Kim, Antonio Torralba, Sanja Fidler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Editing a classifier by rewriting its prediction rules
Shibani Santurkar, Dimitris Tsipras, Mahalaxmi Elango, David Bau, Antonio Torralba, Aleksander Madry
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Effective Meta-Regularization by Kernelized Proximal Regularization
Weisen Jiang, James T. Kwok, Yu Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Active Learning for Gaussian Process Classification by Error Reduction
Guang Zhao, Edward Dougherty, Byung-Jun Yoon, Francis Alexander, Xiaoning Qian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Algorithms for Learning Depth-2 Neural Networks with General ReLU Activations
Pranjal Awasthi, Alex Tang, Aravindan Vijayaraghavan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Bayesian network structure learning via local Markov boundary search
Ming Gao, Bryon Aragam
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Combination of Rematerialization and Offloading for Training DNNs
Olivier Beaumont, Lionel Eyraud-Dubois, Alena Shilova
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Equivariant Network
Lingshen He, Yuxuan Chen, zhengyang shen, Yiming Dong, Yisen Wang, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination
Dylan J Foster, Akshay Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Generalization with Distributionally Robust Learning
Soumyadip Ghosh, Mark Squillante, Ebisa Wollega
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Learning of Discrete-Continuous Computation Graphs
David Friede, Mathias Niepert
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems
Feihu Huang, Xidong Wu, Heng Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Neural Network Training via Forward and Backward Propagation Sparsification
Xiao Zhou, Weizhong Zhang, Zonghao Chen, SHIZHE DIAO, Tong Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta, Zachary Lipton, David Childers
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Statistical Assessment of Neural Network Corruption Robustness
Karim TIT, Teddy Furon, Mathias ROUSSET
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Training of Retrieval Models using Negative Cache
Erik Lindgren, Sashank Reddi, Ruiqi Guo, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu, Enver Sangineto, Wei Bi, Nicu Sebe, Bruno Lepri, Marco Nadai
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient Truncated Linear Regression with Unknown Noise Variance
Constantinos Daskalakis, Patroklos Stefanou, Rui Yao, Emmanouil Zampetakis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient and Accurate Gradients for Neural SDEs
Patrick Kidger, James Foster, Xuechen (Chen) Li, Terry Lyons
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient and Local Parallel Random Walks
Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient constrained sampling via the mirror-Langevin algorithm
Kwangjun Ahn, Sinho Chewi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging
Ali Hashemi, Yijing Gao, Chang Cai, Sanjay Ghosh, Klaus-Robert Müller, Srikantan S. Nagarajan, Stefan Haufe
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficient methods for Gaussian Markov random fields under sparse linear constraints
David Bolin, Jonas Wallin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficiently Identifying Task Groupings for Multi-Task Learning
Chris Fifty, Ehsan Amid, Zhe Zhao, Tianhe Yu, Rohan Anil, Chelsea Finn
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Efficiently Learning One Hidden Layer ReLU Networks From Queries
Sitan Chen, Adam Klivans, Raghu Meka
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Embedding Principle of Loss Landscape of Deep Neural Networks
Yaoyu Zhang, Zhongwang Zhang, Tao Luo, Zhiqin J Xu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Emergent Communication of Generalizations
Jesse Mu, Noah Goodman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · NeurIPS
Emergent Communication under Varying Sizes and Connectivities
Jooyeon Kim, Alice Oh
Machine Learning
日本大学: 関与なし（対象大学）