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
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
Xingyu Cai, Jiaji Huang, Yuchen Bian, Kenneth Church
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Iterated learning for emergent systematicity in VQA
Ankit Vani, Max Schwarzer, Yuchen Lu, Eeshan Dhekane, Aaron Courville
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Iterative Empirical Game Solving via Single Policy Best Response
Max Smith, Thomas Anthony, Michael Wellman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Kanerva++: Extending the Kanerva Machine With Differentiable, Locally Block Allocated Latent Memory
Jason Ramapuram, Yan Wu, Alexandros Kalousis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Knowledge Distillation as Semiparametric Inference
Tri Dao, Govinda Kamath, Vasilis Syrgkanis, Lester Mackey
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Knowledge distillation via softmax regression representation learning
Jing Yang, Brais Martinez, Adrian Bulat, Georgios Tzimiropoulos
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
LEAF: A Learnable Frontend for Audio Classification
Neil Zeghidour, Olivier Teboul, Félix de Chaumont Quitry, Marco Tagliasacchi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
LambdaNetworks: Modeling long-range Interactions without Attention
Irwan Bello
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Language-Agnostic Representation Learning of Source Code from Structure and Context
Daniel Zügner, Tobias Kirschstein, Michele Catasta, Jure Leskovec, Stephan Günnemann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Large Associative Memory Problem in Neurobiology and Machine Learning
Dmitry Krotov, John J Hopfield
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Large Scale Image Completion via Co-Modulated Generative Adversarial Networks
Shengyu Zhao, Jonathan Cui, Yilun Sheng, Yue Dong, Xiao Liang, Eric Chang, Yan Xu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Large-width functional asymptotics for deep Gaussian neural networks
Daniele Bracale, Stefano Favaro, Sandra Fortini, Stefano Peluchetti
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Latent Convergent Cross Mapping
Edward De Brouwer, Adam Arany, Jaak Simm, Yves Moreau
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Latent Skill Planning for Exploration and Transfer
Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Layer-adaptive Sparsity for the Magnitude-based Pruning
Jaeho Lee, Sejun Park, Sangwoo Mo, Sungsoo Ahn, Jinwoo Shin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learnable Embedding sizes for Recommender Systems
Siyi Liu, Chen Gao, Yihong Chen, Depeng Jin, Yong Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning "What-if" Explanations for Sequential Decision-Making
Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning A Minimax Optimizer: A Pilot Study
Jiayi Shen, Xiaohan Chen, Howard Heaton, Tianlong Chen, Jialin Liu, Wotao Yin, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Accurate Entropy Model with Global Reference for Image Compression
Yichen Qian, Zhiyu Tan, Xiuyu Sun, Ming Lin, Dongyang Li, Zhenhong Sun, Li Hao, Rong Jin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Associative Inference Using Fast Weight Memory
Imanol Schlag, Tsendsuren Munkhdalai, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing
Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Cross-Domain Correspondence for Control with Dynamics Cycle-Consistency
Qiang Zhang, Tete Xiao, Alexei Efros, Lerrel Pinto, Xiaolong Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Deep Features in Instrumental Variable Regression
Liyuan Xu, Yutian Chen, Siddarth Srinivasan, Nando de Freitas, Arnaud Doucet, Arthur Gretton
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Energy-Based Generative Models via Coarse-to-Fine Expanding and Sampling
Yang Zhao, Jianwen Xie, Ping Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Energy-Based Models by Diffusion Recovery Likelihood
Ruiqi Gao, Yang Song, Ben Poole, Yingnian Wu, Durk Kingma
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Generalizable Visual Representations via Interactive Gameplay
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, Ali Farhadi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Hyperbolic Representations of Topological Features
Panagiotis Kyriakis, Iordanis Fostiropoulos, Paul Bogdan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Incompressible Fluid Dynamics from Scratch - Towards Fast, Differentiable Fluid Models that Generalize
Nils Wandel, Michael Weinmann, Reinhard Klein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang, Rowan T McAllister, Roberto Calandra, Yarin Gal, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Manifold Patch-Based Representations of Man-Made Shapes
Dmitriy Smirnov, Mikhail Bessmeltsev, Justin Solomon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Mesh-Based Simulation with Graph Networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez Gonzalez, Peter Battaglia
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning N:M Fine-grained Structured Sparse Neural Networks From Scratch
Aojun Zhou, Yukun Ma, Junnan Zhu, Jianbo Liu, Zhijie Zhang, Kun Yuan, Wenxiu Sun, Hongsheng Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Neural Event Functions for Ordinary Differential Equations
Tian Qi Chen, Brandon Amos, Maximilian Nickel
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Parametrised Graph Shift Operators
George Dasoulas, Johannes Lutzeyer, Michalis Vazirgiannis
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues
Hung Le, Nancy F Chen, Steven Hoi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang, Shagun Sodhani, Khimya Khetarpal, Joelle Pineau
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Safe Multi-agent Control with Decentralized Neural Barrier Certificates
Zengyi Qin, Kaiqing Zhang, Yuxiao Chen, Jingkai Chen, Chuchu Fan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Structural Edits via Incremental Tree Transformations
Ziyu Yao, Frank F Xu, Pengcheng Yin, Huan Sun, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Subgoal Representations with Slow Dynamics
Siyuan Li, Lulu Zheng, Jianhao Wang, Chongjie Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Task Decomposition with Ordered Memory Policy Network
Yuchen Lu, Yikang Shen, Siyuan Zhou, Aaron Courville, Joshua B Tenenbaum, Chuang Gan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Task-General Representations with Generative Neuro-Symbolic Modeling
Reuben Feinman, Brenden Lake
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning Value Functions in Deep Policy Gradients using Residual Variance
Yannis Flet-Berliac, reda ouhamma, odalric-ambrym maillard, philippe preux
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning What To Do by Simulating the Past
David Lindner, Rohin Shah, Pieter Abbeel, Anca Dragan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning a Latent Search Space for Routing Problems using Variational Autoencoders
André Hottung, Bhanu Bhandari, Kevin Tierney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning a Latent Simplex in Input Sparsity Time
Ainesh Bakshi, Chiranjib Bhattacharyya, Ravi Kannan, David Woodruff, Samson Zhou
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning advanced mathematical computations from examples
François Charton, Amaury Hayat, Guillaume Lample
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning and Evaluating Representations for Deep One-Class Classification
Kihyuk Sohn, Chun-Liang Li, Jinsung Yoon, Minho Jin, Tomas Pfister
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning continuous-time PDEs from sparse data with graph neural networks
Valerii Iakovlev, Markus Heinonen, Harri Lähdesmäki
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning explanations that are hard to vary
Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schoelkopf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning from Demonstration with Weakly Supervised Disentanglement
Yordan Hristov, Subramanian Ramamoorthy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing, Stephan Eismann, Patricia Suriana, Raphael J Townshend, Ron Dror
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh, Thomas Wolf, Yonatan Belinkov, Alexander M Rush
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning perturbation sets for robust machine learning
Eric Wong, Zico Kolter
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning the Pareto Front with Hypernetworks
Aviv Navon, Aviv Shamsian, Ethan Fetaya, Gal Chechik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation
Mrigank Raman, Aaron Chan, Siddhant Agarwal, PeiFeng Wang, Hansen Wang, Sungchul Kim, Ryan Rossi, Handong Zhao, Nedim Lipka, Xiang Ren
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Generate 3D Shapes with Generative Cellular Automata
Dongsu Zhang, Changwoon Choi, Jeonghwan Kim, Young Min Kim
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Make Decisions via Submodular Regularization
Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Reach Goals via Iterated Supervised Learning
Dibya Ghosh, Abhishek Gupta, Ashwin D Reddy, Justin Fu, Coline M Devin, Benjamin Eysenbach, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Recombine and Resample Data For Compositional Generalization
Ekin Akyürek, Afra Feyza Akyürek, Jacob Andreas
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Represent Action Values as a Hypergraph on the Action Vertices
Arash Tavakoli, Mehdi Fatemi, Petar Kormushev
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to Set Waypoints for Audio-Visual Navigation
Changan Chen, Sagnik Majumder, Ziad Al-Halah, Ruohan Gao, Santhosh Kumar Ramakrishnan, Kristen Grauman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning to live with Dale's principle: ANNs with separate excitatory and inhibitory units
Jonathan Cornford, Damjan Kalajdzievski, Marco Leite, Amélie Lamarquette, Dimitri Kullmann, Blake A Richards
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero, Roberta Raileanu, Heinrich Kuttler, Joshua B Tenenbaum, Tim Rocktaeschel, Edward Grefenstette
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning with Feature-Dependent Label Noise: A Progressive Approach
Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Learning-based Support Estimation in Sublinear Time
Talya Eden, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Lifelong Learning of Compositional Structures
Jorge Mendez, ERIC EATON
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
LiftPool: Bidirectional ConvNet Pooling
Jiaojiao Zhao, Cees G Snoek
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Linear Convergent Decentralized Optimization with Compression
Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei, Chung-Wei Lee, Mengxiao Zhang, Haipeng Luo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Linear Mode Connectivity in Multitask and Continual Learning
Seyed Iman Mirzadeh, Mehrdad Farajtabar, Dilan Gorur, Razvan Pascanu, Hassan Ghasemzadeh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Lipschitz Recurrent Neural Networks
N. Benjamin Erichson, Omri Azencot, Alejandro Queiruga, Liam Hodgkinson, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez, Lillian J Ratliff
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis, Maxim Sviridenko
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Locally Free Weight Sharing for Network Width Search
Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning
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
Long Range Arena : A Benchmark for Efficient Transformers
Yi Tay, Mostafa Dehghani, Samira Abnar, Yikang Shen, Dara Bahri, Philip Pham, Jinfeng Rao, Liu Yang, Sebastian Ruder, Donald Metzler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Long-tail learning via logit adjustment
Aditya Krishna Menon, Sadeep Jayasumana, Ankit Singh Rawat, Himanshu Jain, Andreas Veit, Sanjiv Kumar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella Yu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu, Gengwei Zhang, Bochao Wang, Hang Xu, Xiaodan Liang, Yong Jiang, Zhenguo Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Lossless Compression of Structured Convolutional Models via Lifting
Gustav Sourek, Filip Zelezny, Ondrej Kuzelka
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P Dickerson, Gavin Taylor, Tom Goldstein
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
MALI: A memory efficient and reverse accurate integrator for Neural ODEs
Juntang Zhuang, Nicha C Dvornek, sekhar tatikonda, James s Duncan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
Nanyi Fei, Zhiwu Lu, Tao Xiang, Songfang Huang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space
Tsz Him Cheung, Dit-Yan Yeung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
MONGOOSE: A Learnable LSH Framework for Efficient Neural Network Training
Beidi Chen, Zichang Liu, Binghui Peng, Zhaozhuo Xu, Jonathan L Li, Tri Dao, Zhao Song, Anshumali Shrivastava, Christopher Re
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Mapping the Timescale Organization of Neural Language Models
Hsiang-Yun Sherry Chien, Jinhan Zhang, Christopher Honey
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Mastering Atari with Discrete World Models
Danijar Hafner, Timothy Lillicrap, Mohammad Norouzi, Jimmy Ba
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Mathematical Reasoning via Self-supervised Skip-tree Training
Markus Rabe, Dennis Lee, Kshitij Bansal, Christian Szegedy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Measuring Massive Multitask Language Understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Memory Optimization for Deep Networks
Aashaka Shah, Chao-Yuan Wu, Jayashree Mohan, Vijay Chidambaram, Philipp Krähenbühl
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Meta Back-Translation
Hieu Pham, Xinyi Wang, Yiming Yang, Graham Neubig
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Meta-GMVAE: Mixture of Gaussian VAE for Unsupervised Meta-Learning
Dong Bok Lee, Dongchan Min, Seanie Lee, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Meta-Learning of Structured Task Distributions in Humans and Machines
Sreejan Kumar, Ishita Dasgupta, Jonathan Cohen, Nathaniel Daw, Thomas L Griffiths
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Meta-Learning with Neural Tangent Kernels
Yufan Zhou, Zhenyi Wang, Jiayi Xian, Changyou Chen, Jinhui Xu
Machine Learning
日本大学: 関与なし（対象大学）