Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning

20 March 2023

Papers citing "Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning"

43 / 43 papers shown

Title
Low-Resource Vision Challenges for Foundation Models Yunhua Zhang Hazel Doughty Cees G. M. Snoek VLM 69 6 0 09 Jan 2024
Task-Distributionally Robust Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Yongxian Wei Baoyuan Wu Chun Yuan Dacheng Tao OOD 48 0 0 23 Nov 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 90 7 0 28 May 2023
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 52 15 0 03 Sep 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 81 265 0 17 Mar 2022
Towards Sample-efficient Overparameterized Meta-learning Yue Sun Adhyyan Narang Halil Ibrahim Gulluk Samet Oymak Maryam Fazel BDL 46 25 0 16 Jan 2022
Data-Free Neural Architecture Search via Recursive Label Calibration Zechun Liu Zhiqiang Shen Yun Long Eric P. Xing Kwang-Ting Cheng Chas Leichner 38 7 0 03 Dec 2021
Meta-learning with an Adaptive Task Scheduler Huaxiu Yao Yu Wang Ying Wei P. Zhao M. Mahdavi Defu Lian Chelsea Finn OOD 57 48 0 26 Oct 2021
Meta-Learning for Multi-Label Few-Shot Classification Christian Simon Piotr Koniusz Mehrtash Harandi 91 27 0 26 Oct 2021
Generalization Bounds For Meta-Learning: An Information-Theoretic Analysis Qi Chen Changjian Shui M. Marchand 83 44 0 29 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 217 18 0 29 Sep 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 52 20 0 02 Jul 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 80 658 0 20 May 2021
Contrastive Model Inversion for Data-Free Knowledge Distillation Gongfan Fang Mingli Song Xinchao Wang Chen Shen Xingen Wang Xiuming Zhang 45 81 0 18 May 2021
Graph-Free Knowledge Distillation for Graph Neural Networks Xiang Deng Zhongfei Zhang 62 69 0 16 May 2021
Curriculum Learning: A Survey Petru Soviany Radu Tudor Ionescu Paolo Rota N. Sebe ODL 123 354 0 25 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 280 329 0 16 Jan 2021
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Kun Zhang Guosheng Lin 86 55 0 17 Jul 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 108 193 0 28 May 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 147 4,542 0 23 Apr 2020
Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 47 48 0 26 Dec 2019
Continuous Meta-Learning without Tasks James Harrison Apoorva Sharma Chelsea Finn Marco Pavone CLL OOD 74 79 0 18 Dec 2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion Hongxu Yin Pavlo Molchanov Zhizhong Li J. Álvarez Arun Mallya Derek Hoiem N. Jha Jan Kautz 66 565 0 18 Dec 2019
Meta-Learning without Memorization Mingzhang Yin George Tucker Mingyuan Zhou Sergey Levine Chelsea Finn VLM 48 187 0 09 Dec 2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks Yuheng Zhang R. Jia Hengzhi Pei Wenxiao Wang Yue Liu D. Song AAML 108 419 0 17 Nov 2019
SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning Yan Wang Wei-Lun Chao Kilian Q. Weinberger Laurens van der Maaten VLM 69 340 0 12 Nov 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 259 639 0 17 Oct 2019
Model Fusion via Optimal Transport Sidak Pal Singh Martin Jaggi MoMe FedML 101 234 0 12 Oct 2019
Learning to Propagate for Graph Meta-Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Chengqi Zhang 80 97 0 11 Sep 2019
Meta-Learning with Implicit Gradients Aravind Rajeswaran Chelsea Finn Sham Kakade Sergey Levine 102 855 0 10 Sep 2019
Few-Shot Learning with Global Class Representations Tiange Luo Aoxue Li Tao Xiang Weiran Huang Liwei Wang 118 114 0 14 Aug 2019
Adaptive Gradient-Based Meta-Learning Methods M. Khodak Maria-Florina Balcan Ameet Talwalkar FedML 83 355 0 06 Jun 2019
Online Meta-Learning Chelsea Finn Aravind Rajeswaran Sham Kakade Sergey Levine CLL 66 253 0 22 Feb 2019
Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions Han-Jia Ye Hexiang Hu De-Chuan Zhan Fei Sha 122 666 0 10 Dec 2018
Unsupervised Learning via Meta-Learning Kyle Hsu Sergey Levine Chelsea Finn SSL OffRL 79 230 0 04 Oct 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 283 501 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 269 671 0 07 Jun 2018
Meta-learning with differentiable closed-form solvers Luca Bertinetto João F. Henriques Philip Torr Andrea Vedaldi ODL 82 930 0 21 May 2018
On First-Order Meta-Learning Algorithms Alex Nichol Joshua Achiam John Schulman 230 2,232 0 08 Mar 2018
Data-Free Knowledge Distillation for Deep Neural Networks Raphael Gontijo-Lopes Stefano Fenu Thad Starner 55 272 0 19 Oct 2017
Learning to Generalize: Meta-Learning for Domain Generalization Da Li Yongxin Yang Yi-Zhe Song Timothy M. Hospedales OOD 97 1,421 0 10 Oct 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 823 11,899 0 09 Mar 2017
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 370 7,321 0 13 Jun 2016