DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

13 May 2023

Papers citing "DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning"

50 / 140 papers shown

Title
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 48 194 0 09 Mar 2020
Meta-Transfer Learning for Zero-Shot Super-Resolution Jae Woong Soh Sunwoo Cho N. Cho SupR 52 283 0 27 Feb 2020
Provable Meta-Learning of Linear Representations Nilesh Tripuraneni Chi Jin Michael I. Jordan OOD 91 190 0 26 Feb 2020
Few-Shot Learning via Learning the Representation, Provably S. Du Wei Hu Sham Kakade Jason D. Lee Qi Lei SSL 37 260 0 21 Feb 2020
DivideMix: Learning with Noisy Labels as Semi-supervised Learning Junnan Li R. Socher Guosheng Lin NoLa 68 1,021 0 18 Feb 2020
Learning Adaptive Loss for Robust Learning with Noisy Labels Jun Shu Qian Zhao Keyu Chen Zongben Xu Deyu Meng NoLa OOD 32 23 0 16 Feb 2020
A Simple Framework for Contrastive Learning of Visual Representations Ting-Li Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton SSL 210 18,607 0 13 Feb 2020
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss Vincent Fortuin Martin Josifoski Andreas Krause UQCV 34 127 0 13 Feb 2020
Task Augmentation by Rotating for Meta-Learning Jialin Liu Chia-Wen Lin Chih-Min Lin 87 33 0 08 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence Kihyuk Sohn David Berthelot Chun-Liang Li Zizhao Zhang Nicholas Carlini E. D. Cubuk Alexey Kurakin Han Zhang Colin Raffel AAML 136 3,508 0 21 Jan 2020
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 43 186 0 09 Dec 2019
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank Wood Leonid Sigal VLM 43 229 0 07 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 111 12,007 0 13 Nov 2019
Meta Label Correction for Noisy Label Learning Guoqing Zheng Ahmed Hassan Awadallah S. Dumais NoLa OffRL 62 181 0 10 Nov 2019
Consistency Regularization for Generative Adversarial Networks Han Zhang Zizhao Zhang Augustus Odena Honglak Lee GAN 61 284 0 26 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 69 98 0 07 Oct 2019
AutoML: A Survey of the State-of-the-Art Xin He Kaiyong Zhao Xiaowen Chu 76 1,440 0 02 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 150 2,190 0 05 Jul 2019
Are Anchor Points Really Indispensable in Label-Noise Learning? Xiaobo Xia Tongliang Liu N. Wang Bo Han Chen Gong Gang Niu Masashi Sugiyama NoLa 58 377 0 01 Jun 2019
Unlabeled Data Improves Adversarial Robustness Y. Carmon Aditi Raghunathan Ludwig Schmidt Percy Liang John C. Duchi 96 752 0 31 May 2019
Are Labels Required for Improving Adversarial Robustness? J. Uesato Jean-Baptiste Alayrac Po-Sen Huang Robert Stanforth Alhussein Fawzi Pushmeet Kohli AAML 54 333 0 31 May 2019
Meta-Learning Representations for Continual Learning Khurram Javed Martha White KELM CLL 62 318 0 29 May 2019
AM-LFS: AutoML for Loss Function Search Chuming Li Yuan Xin Chen Lin Minghao Guo Wei Wu Wanli Ouyang Junjie Yan VLM 97 71 0 17 May 2019
Learning What and Where to Transfer Yunhun Jang Hankook Lee Sung Ju Hwang Jinwoo Shin 32 149 0 15 May 2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment Chen Huang Shuangfei Zhai Walter A. Talbott Miguel Angel Bautista Shi Sun Carlos Guestrin J. Susskind 47 75 0 15 May 2019
Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels Pengfei Chen B. Liao Guangyong Chen Shengyu Zhang NoLa 45 383 0 13 May 2019
Unsupervised Data Augmentation for Consistency Training Qizhe Xie Zihang Dai Eduard H. Hovy Minh-Thang Luong Quoc V. Le 104 2,306 0 29 Apr 2019
Unsupervised Label Noise Modeling and Loss Correction Eric Arazo Sanchez Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness NoLa 60 609 0 25 Apr 2019
Bridging Theory and Algorithm for Domain Adaptation Yuchen Zhang Tianle Liu Mingsheng Long Michael I. Jordan 65 706 0 11 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 93 1,756 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 75 1,266 0 07 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 53 630 0 29 Mar 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 64 109 0 25 Mar 2019
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels Kun Yi Jianxin Wu NoLa 50 413 0 19 Mar 2019
Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples Eleni Triantafillou Tyler Lixuan Zhu Vincent Dumoulin Pascal Lamblin Utku Evci ... Ross Goroshin Carles Gelada Kevin Swersky Pierre-Antoine Manzagol Hugo Larochelle 117 614 0 07 Mar 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 52 254 0 31 Jan 2019
DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks Xingjian Li Haoyi Xiong Hanchao Wang Yuxuan Rao Liping Liu Zeyu Chen Jun Huan 35 171 0 26 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 42 163 0 25 Jan 2019
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL Anusha Nagabandi Chelsea Finn Sergey Levine OffRL CLL 75 191 0 18 Dec 2018
Efficient Lifelong Learning with A-GEM Arslan Chaudhry MarcÁurelio Ranzato Marcus Rohrbach Mohamed Elhoseiny CLL 167 1,438 0 02 Dec 2018
DropBlock: A regularization method for convolutional networks Golnaz Ghiasi Nayeon Lee Quoc V. Le 93 911 0 30 Oct 2018
Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference Matthew D Riemer Ignacio Cases R. Ajemian Miao Liu Irina Rish Y. Tu Gerald Tesauro CLL 68 776 0 29 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 951 93,936 0 11 Oct 2018
Meta-Learning: A Survey Joaquin Vanschoren FedML OOD 53 756 0 08 Oct 2018
Small Sample Learning in Big Data Era Jun Shu Zongben Xu Deyu Meng 62 71 0 14 Aug 2018
DARTS: Differentiable Architecture Search Hanxiao Liu Karen Simonyan Yiming Yang 167 4,326 0 24 Jun 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 171 722 0 13 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 93 1,764 0 24 May 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 71 924 0 21 May 2018