ICLR

2021–2025 確定版

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ICLR 公式サイト ↗

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
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning
Samuel Horváth, Peter Richtarik
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Block Minifloat Representation for Training Deep Neural Networks
Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, david boland, Philip Leong
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Critique of Self-Expressive Deep Subspace Clustering
Benjamin Haeffele, Chong You, Rene Vidal
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Design Space Study for LISTA and Beyond
Tianjian Meng, Xiaohan Chen, Yifan Jiang, Zhangyang Wang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie, Issei Sato, Masashi Sugiyama
Machine Learning
日本大学: 東京大学
2021 · ICLR
A Discriminative Gaussian Mixture Model with Sparsity
Hideaki Hayashi, Seiichi Uchida
Machine Learning
日本大学: 九州大学
2021 · ICLR
A Distributional Approach to Controlled Text Generation
Muhammad Khalifa, Hady Elsahar, Marc Dymetman
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Geometric Analysis of Deep Generative Image Models and Its Applications
Binxu Wang, Carlos Ponce
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Good Image Generator Is What You Need for High-Resolution Video Synthesis
Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris Metaxas, Sergey Tulyakov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Gradient Flow Framework For Analyzing Network Pruning
Ekdeep Singh Lubana, Robert Dick
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Hypergradient Approach to Robust Regression without Correspondence
Yujia Xie, Yixiu Mao, Simiao Zuo, Hongteng Xu, Xiaojing Ye, Tuo Zhao, Hongyuan Zha
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Learning Theoretic Perspective on Local Explainability
Jeffrey Li, Vaishnavh Nagarajan, Gregory Plumb, Ameet Talwalkar
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Mathematical Exploration of Why Language Models Help Solve Downstream Tasks
Nikunj Umesh Saunshi, Sadhika Malladi, Sanjeev Arora
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A PAC-Bayesian Approach to Generalization Bounds for Graph Neural Networks
Renjie Liao, Raquel Urtasun, Richard Zemel
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference
Sanghyun Hong, Yigitcan Kaya, Ionut-Vlad Modoranu, Tudor Dumitras
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu, Chuanwei Ruan, evren korpeoglu, Sushant Kumar, kannan achan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Trainable Optimal Transport Embedding for Feature Aggregation and its Relationship to Attention
Grégoire Mialon, Dexiong Chen, Alexandre d'Aspremont, Julien Mairal
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Unified Approach to Interpreting and Boosting Adversarial Transferability
Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A Wigner-Eckart Theorem for Group Equivariant Convolution Kernels
Leon Lang, Maurice Weiler
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A statistical theory of cold posteriors in deep neural networks
Laurence Aitchison
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A teacher-student framework to distill future trajectories
Alexander Neitz, Giambattista Parascandolo, Bernhard Schoelkopf
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
A unifying view on implicit bias in training linear neural networks
Chulhee Yun, Shankar Krishnan, Hossein Mobahi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
ALFWorld: Aligning Text and Embodied Environments for Interactive Learning
Mohit Shridhar, Xingdi Yuan, Marc-Alexandre Cote, Yonatan Bisk, Adam Trischler, Matthew Hausknecht
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning
Hengrui Cai, Rui Song, Wenbin Lu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
Kangkang Lu, Cuong Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Accurate Learning of Graph Representations with Graph Multiset Pooling
Jinheon Baek, Minki Kang, Sung Ju Hwang
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Haibo Yang, Minghong Fang, Jia Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Acting in Delayed Environments with Non-Stationary Markov Policies
Esther Derman, Gal Dalal, Shie Mannor
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Activation-level uncertainty in deep neural networks
Pablo Morales-Alvarez, Daniel Hernández-Lobato, Rafael Molina, José Miguel Hernández Lobato
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Active Contrastive Learning of Audio-Visual Video Representations
Shuang Ma, Zhaoyang Zeng, Daniel McDuff, Yale Song
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
AdaFuse: Adaptive Temporal Fusion Network for Efficient Action Recognition
Yue Meng, Rameswar Panda, Chung-Ching Lin, Prasanna Sattigeri, Leonid Karlinsky, Kate Saenko, Aude Oliva, Rogerio Feris
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models
Ke Sun, Zhanxing Zhu, Zhouchen Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
AdaSpeech: Adaptive Text to Speech for Custom Voice
Mingjian Chen, Xu Tan, Bohan Li, Eric Liu, Tao Qin, sheng zhao, Tie-Yan Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights
Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adapting to Reward Progressivity via Spectral Reinforcement Learning
Michael Dann, John Thangarajah
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adaptive Extra-Gradient Methods for Min-Max Optimization and Games
Kimon ANTONAKOPOULOS, E. Belmega, Panayotis Mertikopoulos
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adaptive Federated Optimization
Sashank Reddi, Zachary Charles, Manzil Zaheer, Zachary Garrett, Keith Rush, Jakub Konečný, Sanjiv Kumar, H. Brendan McMahan
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adaptive Procedural Task Generation for Hard-Exploration Problems
Kuan Fang, Yuke Zhu, Silvio Savarese, Li Fei-Fei
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adaptive Universal Generalized PageRank Graph Neural Network
Eli Chien, Jianhao Peng, Pan Li, Olgica Milenkovic
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adaptive and Generative Zero-Shot Learning
Yu-Ying Chou, Hsuan-Tien Lin, Tyng-Luh Liu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adversarial score matching and improved sampling for image generation
Alexia Jolicoeur-Martineau, Rémi Piché-Taillefer, Ioannis Mitliagkas, Remi Combes
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adversarially Guided Actor-Critic
Yannis Flet-Berliac, Johan Ferret, Olivier Pietquin, philippe preux, Matthieu Geist
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W Mahoney
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Aligning AI With Shared Human Values
Dan Hendrycks, Collin Burns, Steven Basart, Andrew Critch, Jerry Li, Dawn Song, Jacob Steinhardt
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
An Unsupervised Deep Learning Approach for Real-World Image Denoising
Dihan Zheng, Sia Huat Tan, Xiaowen Zhang, Zuoqiang Shi, Kaisheng Ma, Chenglong Bao
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective
Muhammet Balcilar, Guillaume Renton, Pierre Héroux, Benoit Gaüzère, Sébastien Adam, Paul Honeine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Anatomy of Catastrophic Forgetting: Hidden Representations and Task Semantics
Vinay Ramasesh, Ethan Dyer, Maithra Raghu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
Paul Pu Liang, Manzil Zaheer, Yuan Wang, Amr Ahmed
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
Wenhan Xiong, Xiang Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Anytime Sampling for Autoregressive Models via Ordered Autoencoding
Yilun Xu, Yang Song, Sahaj Garg, Linyuan Gong, Rui Shu, Aditya Grover, Stefano Ermon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Lee Xiong, Chenyan Xiong, Ye Li, Kwok-Fung Tang, Jialin Liu, Paul N Bennett, Junaid Ahmed, Arnold Overwijk
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Robert Csordas, Sjoerd van Steenkiste, Jürgen Schmidhuber
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
Zhen Qin, Le Yan, Honglei Zhuang, Yi Tay, Rama Kumar Pasumarthi, Xuanhui Wang, Michael Bendersky, Marc Najork
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Are wider nets better given the same number of parameters?
Anna Golubeva, Guy Gur-Ari, Behnam Neyshabur
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning
Valerie Chen, Abhinav Gupta, Kenneth Marino
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors
Yu Sun, Jiaming Liu, Yiran Sun, Brendt Wohlberg, Ulugbek Kamilov
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Attentional Constellation Nets for Few-Shot Learning
Weijian Xu, Yifan Xu, Huaijin Wang, Zhuowen Tu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Auction Learning as a Two-Player Game
Jad Rahme, Samy Jelassi, S. M Weinberg
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin, Vincent Le Guen, Jérémie DONA, Emmanuel d Bezenac, Ibrahim Ayed, Nicolas THOME, patrick gallinari
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Auto Seg-Loss: Searching Metric Surrogates for Semantic Segmentation
Hao Li, Chenxin Tao, Xizhou Zhu, Xiaogang Wang, Gao Huang, Jifeng Dai
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
AutoLRS: Automatic Learning-Rate Schedule by Bayesian Optimization on the Fly
Yuchen Jin, Tianyi Zhou, Liangyu Zhao, Yibo Zhu, Chuanxiong Guo, Marco Canini, Arvind Krishnamurthy
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
Michael Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, ziyu wang, Mohammad Norouzi
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Autoregressive Entity Retrieval
Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Auxiliary Learning by Implicit Differentiation
Aviv Navon, Idan Achituve, Haggai Maron, Gal Chechik, Ethan Fetaya
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Auxiliary Task Update Decomposition: The Good, the Bad and the Neutral
Lucio Dery, Yann Dauphin, David Grangier
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Average-case Acceleration for Bilinear Games and Normal Matrices
Carles Domingo i Enrich, Fabian Pedregosa, Damien Scieur
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BERTology Meets Biology: Interpreting Attention in Protein Language Models
Jesse Vig, Ali Madani, Lav R Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BOIL: Towards Representation Change for Few-shot Learning
Jaehoon Oh, Hyungjun Yoo, ChangHwan Kim, Se-Young Yun
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
Yuhang Li, Ruihao Gong, Xu Tan, Yang Yang, Peng Hu, Qi Zhang, fengwei yu, Wei Wang, Shi Gu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BREEDS: Benchmarks for Subpopulation Shift
Shibani Santurkar, Dimitris Tsipras, Aleksander Madry
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BUSTLE: Bottom-Up Program Synthesis Through Learning-Guided Exploration
Augustus Odena, Kensen Shi, David Bieber, Rishabh Singh, Charles Sutton, Hanjun Dai
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bag of Tricks for Adversarial Training
Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Balancing Constraints and Rewards with Meta-Gradient D4PG
Dan A. Calian, Daniel J Mankowitz, Tom Zahavy, Zhongwen Xu, Junhyuk Oh, Nir Levine, Timothy A Mann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Batch Reinforcement Learning Through Continuation Method
Yijie Guo, Shengyu Feng, Nicolas Le Roux, Ed H. Chi, Honglak Lee, Minmin Chen
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bayesian Context Aggregation for Neural Processes
Michael Volpp, Fabian Flürenbrock, Lukas Grossberger, Christian Daniel, Gerhard Neumann
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
Jake Snell, Richard Zemel
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Behavioral Cloning from Noisy Demonstrations
Fumihiro Sasaki, Ryota Yamashina
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Benchmarks for Deep Off-Policy Evaluation
Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, ziyu wang, Alexander Novikov, Mengjiao Yang, Michael Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Thomas Paine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki, Akiyama Shunta
Machine Learning
日本大学: 東京大学
2021 · ICLR
Better Fine-Tuning by Reducing Representational Collapse
Armen Aghajanyan, Akshat Shrivastava, Anchit Gupta, Naman Goyal, Luke Zettlemoyer, Sonal Gupta
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Beyond Categorical Label Representations for Image Classification
Boyuan Chen, Yu Li, Sunand Raghupathi, Hod Lipson
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters
Aston Zhang, Yi Tay, Shuai Zhang, Alvin Chan, Anh Tuan Luu, Siu Hui, Jie Fu
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
BiPointNet: Binary Neural Network for Point Clouds
Haotong Qin, Zhongang Cai, Mingyuan Zhang, Yifu Ding, Haiyu Zhao, Shuai Yi, Xianglong Liu, Hao Su
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bidirectional Variational Inference for Non-Autoregressive Text-to-Speech
Yoonhyung Lee, Joongbo Shin, Kyomin Jung
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Blending MPC & Value Function Approximation for Efficient Reinforcement Learning
Mohak Bhardwaj, Sanjiban Choudhury, Byron Boots
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Sergei Ivanov, Liudmila Prokhorenkova
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis
Zhipeng Bao, Yu-Xiong Wang, Martial Hebert
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification
Yingxue Zhou, Steven Wu, Arindam Banerjee
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu, Faeze Ebrahimianghazani, Jerry Li, Dan Alistarh
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
Panteha Naderian, Gabriel Loaiza-Ganem, Harry Braviner, Anthony Caterini, Jesse C Cresswell, Tong Li, Animesh Garg
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
C-Learning: Learning to Achieve Goals via Recursive Classification
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
CO2: Consistent Contrast for Unsupervised Visual Representation Learning
Chen Wei, Huiyu Wang, Wei Shen, Alan Yuille
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
CPR: Classifier-Projection Regularization for Continual Learning
Sungmin Cha, Hsiang Hsu, Taebaek Hwang, Flavio Calmon, Taesup Moon
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
Machine Learning
日本大学: 関与なし（対象大学）
2021 · ICLR
CT-Net: Channel Tensorization Network for Video Classification
Kunchang Li, xianhang li, Yali Wang, Jun Wang, Yu Qiao
Machine Learning
日本大学: 関与なし（対象大学）