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
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 55 5 0 18 Jan 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 81 94 0 15 Nov 2022
Sample Efficiency of Data Augmentation Consistency Regularization Shuo Yang Yijun Dong Rachel A. Ward Inderjit S. Dhillon Sujay Sanghavi Qi Lei AAML 36 17 0 24 Feb 2022
CMW-Net: Learning a Class-Aware Sample Weighting Mapping for Robust Deep Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu NoLa 44 33 0 11 Feb 2022
Towards Sample-efficient Overparameterized Meta-learning Yue Sun Adhyyan Narang Halil Ibrahim Gulluk Samet Oymak Maryam Fazel BDL 39 25 0 16 Jan 2022
Transferability in Deep Learning: A Survey Junguang Jiang Yang Shu Jianmin Wang Mingsheng Long OOD 63 102 0 15 Jan 2022
Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning Kai Zhu Yang Cao Wei Zhai Jie Cheng Zhengjun Zha CLL 84 145 0 19 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 69 113 0 01 Jul 2021
AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation David Berthelot Rebecca Roelofs Kihyuk Sohn Nicholas Carlini Alexey Kurakin 33 137 0 08 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 60 27 0 06 Jun 2021
Representation Learning Beyond Linear Prediction Functions Ziping Xu Ambuj Tewari 13 21 0 31 May 2021
Consistency Regularization for Variational Auto-Encoders Samarth Sinha Adji Bousso Dieng CML 52 68 0 31 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 51 93 0 14 May 2021
Few-Shot Incremental Learning with Continually Evolved Classifiers Chi Zhang Nan Song Guosheng Lin Yun Zheng Pan Pan Yinghui Xu CLL 56 292 0 07 Apr 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 58 85 0 25 Mar 2021
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels Evgenii Zheltonozhskii Chaim Baskin A. Mendelson A. Bronstein Or Litany SSL 35 92 0 25 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 78 175 0 05 Mar 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning Abulikemu Abuduweili Xingjian Li Humphrey Shi Chengzhong Xu Dejing Dou 66 77 0 03 Mar 2021
Augmentation Strategies for Learning with Noisy Labels Kento Nishi Yi Ding Alex Rich Tobias Höllerer NoLa 29 117 0 03 Mar 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks Boyan Gao Henry Gouk Timothy M. Hospedales OOD NoLa 40 18 0 27 Feb 2021
A Theory of Label Propagation for Subpopulation Shift Tianle Cai Ruiqi Gao Jason D. Lee Qi Lei 45 49 0 22 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 141 123 0 04 Feb 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation Viraj Prabhu Shivam Khare Deeksha Kartik Judy Hoffman 56 135 0 21 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 91 61 0 14 Dec 2020
WILDS: A Benchmark of in-the-Wild Distribution Shifts Pang Wei Koh Shiori Sagawa Henrik Marklund Sang Michael Xie Marvin Zhang ... A. Kundaje Emma Pierson Sergey Levine Chelsea Finn Percy Liang OOD 139 1,406 0 14 Dec 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 36 10 0 13 Nov 2020
AutoML to Date and Beyond: Challenges and Opportunities Shubhra (Santu) Karmaker Md. Mahadi Hassan Micah J. Smith Lei Xu Chengxiang Zhai K. Veeramachaneni 85 227 0 21 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 44 75 0 14 Oct 2020
Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei Kendrick Shen Yining Chen Tengyu Ma SSL 50 227 0 07 Oct 2020
Sharpness-Aware Minimization for Efficiently Improving Generalization Pierre Foret Ariel Kleiner H. Mobahi Behnam Neyshabur AAML 151 1,314 0 03 Oct 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning Giulia Denevi Massimiliano Pontil C. Ciliberto 71 40 0 25 Aug 2020
Learning to Purify Noisy Labels via Meta Soft Label Corrector Yichen Wu Jun Shu Qi Xie Qian Zhao Deyu Meng 22 65 0 03 Aug 2020
MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks Jun Shu Yanwen Zhu Qian Zhao Zongben Xu Deyu Meng 30 7 0 29 Jul 2020
La-MAML: Look-ahead Meta Learning for Continual Learning Gunshi Gupta Karmesh Yadav Liam Paull CLL VLM 55 68 0 27 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 46 95 0 10 Jul 2020
Loss Function Search for Face Recognition Xiaobo Wang Shuo Wang Cheng Chi Shifeng Zhang Tao Mei CVBM 49 48 0 10 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 31 201 0 06 Jul 2020
Early-Learning Regularization Prevents Memorization of Noisy Labels Sheng Liu Jonathan Niles-Weed N. Razavian C. Fernandez‐Granda NoLa 58 561 0 30 Jun 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 56 474 0 30 Jun 2020
Laplacian Regularized Few-Shot Learning Imtiaz Masud Ziko Jose Dolz Eric Granger Ismail Ben Ayed 25 176 0 28 Jun 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 68 125 0 21 Jun 2020
On the Theory of Transfer Learning: The Importance of Task Diversity Nilesh Tripuraneni Michael I. Jordan Chi Jin 86 217 0 20 Jun 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 249 6,718 0 13 Jun 2020
Meta Transition Adaptation for Robust Deep Learning with Noisy Labels Jun Shu Qian Zhao Zengben Xu Deyu Meng NoLa 52 30 0 10 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 34 167 0 06 Jun 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 80 125 0 27 Apr 2020
Few-Shot Class-Incremental Learning Xiaoyu Tao Xiaopeng Hong Xinyuan Chang Songlin Dong Xing Wei Yihong Gong CLL 61 408 0 23 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 279 1,950 0 11 Apr 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 53 162 0 26 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 326 662 0 23 Mar 2020