Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

Papers citing "Meta-Learning in Neural Networks: A Survey"

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Title
Deep Neural Network-based Enhancement for Image and Video Streaming Systems: A Survey and Future Directions Royson Lee Stylianos I. Venieris Nicholas D. Lane AI4TS 57 44 0 07 Jun 2021
One-shot learning of paired association navigation with biologically plausible schemas M Ganesh Kumar Cheston Tan C. Libedinsky S. Yen A. Tan 23 3 0 07 Jun 2021
SpikePropamine: Differentiable Plasticity in Spiking Neural Networks Samuel Schmidgall Julia Ashkanazy W. Lawson Joe Hays 14 7 0 04 Jun 2021
Reordering Examples Helps during Priming-based Few-Shot Learning Sawan Kumar Partha P. Talukdar 18 58 0 03 Jun 2021
Bottom-up and top-down approaches for the design of neuromorphic processing systems: Tradeoffs and synergies between natural and artificial intelligence Charlotte Frenkel D. Bol Giacomo Indiveri 34 33 0 02 Jun 2021
A Unified Cognitive Learning Framework for Adapting to Dynamic Environment and Tasks Qi-hui Wu Tianchen Ruan Fuhui Zhou Yang Huang Fan Xu Shijin Zhao Ya Liu Xuyang Huang 11 38 0 01 Jun 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 25 6 0 28 May 2021
Meta-Reinforcement Learning by Tracking Task Non-stationarity Riccardo Poiani Andrea Tirinzoni Marcello Restelli OffRL 18 10 0 18 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 15 5 0 08 May 2021
Personalized Algorithm Generation: A Case Study in Learning ODE Integrators Yue Guo Felix Dietrich Tom S. Bertalan Danimir T. Doncevic Manuel Dahmen Ioannis G. Kevrekidis Qianxiao Li 22 11 0 04 May 2021
Meta-learning using privileged information for dynamics Ben Day Alexander Norcliffe Jacob Moss Pietro Lió 26 2 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 29 7 0 21 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 27 3 0 12 Apr 2021
Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing Anna Langedijk Verna Dankers Phillip Lippe Sander Bos B. C. Guevara H. Yannakoudakis Ekaterina Shutova CLL 11 15 0 10 Apr 2021
Learning to Reweight Imaginary Transitions for Model-Based Reinforcement Learning Wenzhen Huang Qiyue Yin Junge Zhang Kaiqi Huang 15 4 0 09 Apr 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 27 26 0 06 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition A. Bhunia S. Ghose Amandeep Kumar Pinaki Nath Chowdhury Aneeshan Sain Yi-Zhe Song 39 29 0 05 Apr 2021
Understanding Continual Learning Settings with Data Distribution Drift Analysis Timothée Lesort Massimo Caccia Irina Rish 25 55 0 04 Apr 2021
A contrastive rule for meta-learning Nicolas Zucchet Simon Schug J. Oswald Dominic Zhao João Sacramento MLT 30 19 0 04 Apr 2021
MT3: Meta Test-Time Training for Self-Supervised Test-Time Adaption Alexander Bartler Andreas Bühler Felix Wiewel Mario Döbler Binh Yang TTA OOD 21 77 0 30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval Aneeshan Sain A. Bhunia Yongxin Yang Tao Xiang Yi-Zhe Song 8 79 0 29 Mar 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 43 225 0 23 Mar 2021
Lifelong Person Re-Identification via Adaptive Knowledge Accumulation Nan Pu Wei Chen Yu Liu E. Bakker M. Lew CLL 19 82 0 23 Mar 2021
Hyperspectral Image Super-Resolution in Arbitrary Input-Output Band Settings Zhongyang Zhang Zhiyang Xu Zia U. Ahmed Asif Salekin Tauhidur Rahman 22 3 0 19 Mar 2021
Meta-Solver for Neural Ordinary Differential Equations Julia Gusak A. Katrutsa Talgat Daulbaev A. Cichocki Ivan Oseledets 16 2 0 15 Mar 2021
How to distribute data across tasks for meta-learning? Alexandru Cioba Michael Bromberg Qian Wang R. Niyogi Georgios Batzolis Jezabel R. Garcia Da-shan Shiu A. Bernacchia FedML 8 8 0 15 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
Continual Learning for Recurrent Neural Networks: an Empirical Evaluation Andrea Cossu Antonio Carta Vincenzo Lomonaco D. Bacciu CLL 36 107 0 12 Mar 2021
Population-Based Evolution Optimizes a Meta-Learning Objective Kevin Frans Olaf Witkowski 25 5 0 11 Mar 2021
Meta-Learning with MAML on Trees Jezabel R. Garcia Federica Freddi F. Liao Jamie McGowan Tim Nieradzik Da-shan Shiu Ye Tian A. Bernacchia 16 4 0 08 Mar 2021
Adaptive-Control-Oriented Meta-Learning for Nonlinear Systems Spencer M. Richards Navid Azizan Jean-Jacques E. Slotine Marco Pavone 37 70 0 07 Mar 2021
Domain Generalization: A Survey Kaiyang Zhou Ziwei Liu Yu Qiao Tao Xiang Chen Change Loy OOD AI4CE 75 980 0 03 Mar 2021
Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang Cuiling Lan Chang-Shu Liu Yidong Ouyang Tao Qin Wang Lu Yiqiang Chen Wenjun Zeng Philip S. Yu OOD 54 1,177 0 02 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 841 0 01 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 566 0 28 Feb 2021
Searching for Robustness: Loss Learning for Noisy Classification Tasks Boyan Gao Henry Gouk Timothy M. Hospedales OOD NoLa 36 18 0 27 Feb 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 33 21 0 27 Feb 2021
Identifying Physical Law of Hamiltonian Systems via Meta-Learning Seungjun Lee Haesang Yang W. Seong 30 13 0 23 Feb 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 38 13 0 23 Feb 2021
POLA: Online Time Series Prediction by Adaptive Learning Rates Wenyu Zhang AI4TS 16 3 0 17 Feb 2021
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning Halil Ibrahim Gulluk Yue Sun Samet Oymak Maryam Fazel 30 2 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 43 47 0 14 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
Meta Discovery: Learning to Discover Novel Classes given Very Limited Data Haoang Chi Feng Liu Bo Han Wenjing Yang L. Lan Tongliang Liu Gang Niu Mingyuan Zhou Masashi Sugiyama 34 42 0 08 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 19 3 0 07 Feb 2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation Ilias Leontiadis Stefanos Laskaridis Stylianos I. Venieris Nicholas D. Lane 65 29 0 02 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 25 17 0 01 Feb 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 33 407 0 25 Jan 2021