Meta-Learning in Neural Networks: A Survey

11 April 2020

Timothy M. Hospedales

Amos Storkey

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

38 / 138 papers shown

Title
Privacy Preserving Machine Learning for Electric Vehicles: A Survey Abdul Rahman Sani M. Hassan Jinjun Chen 22 10 0 17 May 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds Michael O'Connell Guanya Shi Xichen Shi Kamyar Azizzadenesheli Anima Anandkumar Yisong Yue Soon-Jo Chung 63 165 0 13 May 2022
Fusing finetuned models for better pretraining Leshem Choshen Elad Venezian Noam Slonim Yoav Katz FedML AI4CE MoMe 25 86 0 06 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 21 32 0 05 Apr 2022
Robust Meta-Reinforcement Learning with Curriculum-Based Task Sampling Morio Matsumoto Hiroya Matsuba Toshihiro Kujirai 8 2 0 31 Mar 2022
Meta-learning with GANs for anomaly detection, with deployment in high-speed rail inspection system Haoyang Cao Xin Guo Guan Wang AI4TS 9 7 0 11 Feb 2022
Auto-Lambda: Disentangling Dynamic Task Relationships Shikun Liu Stephen James Andrew J. Davison Edward Johns 26 74 0 07 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 63 42 0 01 Feb 2022
Explanatory Learning: Beyond Empiricism in Neural Networks Antonio Norelli Giorgio Mariani Luca Moschella Andrea Santilli Giambattista Parascandolo Simone Melzi Emanuele Rodolà 14 2 0 25 Jan 2022
PaRT: Parallel Learning Towards Robust and Transparent AI Mahsa Paknezhad Hamsawardhini Rengarajan Chenghao Yuan Sujanya Suresh Manas Gupta Savitha Ramasamy Hwee Kuan Lee OOD 22 1 0 24 Jan 2022
On the in vivo recognition of kidney stones using machine learning F. Lopez-Tiro V. Estrade Jacques Hubert Daniel Flores-Araiza M. González-Mendoza Gilberto Ochoa C. Daul 20 26 0 21 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 28 7 0 17 Jan 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning Vitaly Kurin Alessandro De Palma Ilya Kostrikov Shimon Whiteson M. P. Kumar 28 71 0 11 Jan 2022
MobilePhys: Personalized Mobile Camera-Based Contactless Physiological Sensing Xin Liu Yuntao wang S. Xie Xiaoyu Zhang Zixian Ma Daniel J. McDuff Shwetak N. Patel 20 10 0 11 Jan 2022
Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology Tian Cai Li Xie Muge Chen Yang Liu Di He Shuo-feng Zhang C. Mura P. Bourne Lei Xie OOD 6 4 0 23 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 168 870 0 21 Oct 2021
CLEVA-Compass: A Continual Learning EValuation Assessment Compass to Promote Research Transparency and Comparability Martin Mundt Steven Braun Quentin Delfosse Kristian Kersting 8 35 0 07 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 34 52 0 28 Sep 2021
Few-shot Quality-Diversity Optimization Achkan Salehi Alexandre Coninx Stéphane Doncieux 9 14 0 14 Sep 2021
ProtoTransformer: A Meta-Learning Approach to Providing Student Feedback Mike Wu Noah D. Goodman Chris Piech Chelsea Finn 14 19 0 23 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 32 86 0 16 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 14 113 0 01 Jul 2021
A Systematic Collection of Medical Image Datasets for Deep Learning Johann Li Guangming Zhu Cong Hua Mingtao Feng Basheer Bennamoun ... Xu Xu Lin Mei Liang Zhang Syed Afaq Ali Shah Bennamoun OOD 25 48 0 24 Jun 2021
Trinity: A No-Code AI platform for complex spatial datasets C. V. K. Iyer Feili Hou Henry Wang Yonghong Wang Kay Oh Swetava Ganguli Vipul Pandey SyDa 17 21 0 21 Jun 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 15 25 0 06 Apr 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 43 1,165 0 02 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 22 13 0 23 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 55 29 0 02 Feb 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 245 648 0 23 Mar 2020
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 202 627 0 17 Oct 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 634 0 19 Sep 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 96 714 0 13 Jun 2018
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 188 495 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 165 664 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 237 11,568 0 09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization Luca Franceschi Michele Donini P. Frasconi Massimiliano Pontil 112 370 0 06 Mar 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 87 2,158 0 02 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016