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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

9 March 2017

Pieter Abbeel

Papers citing "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

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Title
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification Yucan Zhou Yu Wang Jianfei Cai Yu Zhou Q. Hu Weiping Wang VLM 65 12 0 13 Jul 2020
Submodular Meta-Learning Arman Adibi Aryan Mokhtari Hamed Hassani CLL 80 5 0 11 Jul 2020
Meta Soft Label Generation for Noisy Labels G. Algan ilkay Ulusoy NoLa 86 38 0 11 Jul 2020
Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding Jinhai Yang Han Yang Lin Chen 58 20 0 11 Jul 2020
BERT Learns (and Teaches) Chemistry Josh Payne Mario Srouji Dian Ang Yap V. Kosaraju 61 10 0 11 Jul 2020
The Computational Limits of Deep Learning Neil C. Thompson Kristjan Greenewald Keeheon Lee Gabriel F. Manso VLM 101 533 0 10 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 86 96 0 10 Jul 2020
A Two-Timescale Framework for Bilevel Optimization: Complexity Analysis and Application to Actor-Critic Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 86 141 0 10 Jul 2020
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification Pengyu Yuan Aryan Mobiny J. Jahanipour Xiaoyang Li P. Cicalese B. Roysam Vishal M. Patel Maric Dragan H. Nguyen 63 13 0 09 Jul 2020
EVO-RL: Evolutionary-Driven Reinforcement Learning Ahmed Hallawa Thorsten Born Anke Schmeink Guido Dartmann A. Peine Lukas Martin Giovanni Iacca A. E. Eiben G. Ascheid 86 14 0 09 Jul 2020
Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing Prem Raj Vinay P. Namboodiri Laxmidhar Behera SSL 41 8 0 09 Jul 2020
Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate Mirco Mutti Lorenzo Pratissoli Marcello Restelli 75 19 0 09 Jul 2020
Wandering Within a World: Online Contextualized Few-Shot Learning Mengye Ren Michael L. Iuzzolino Michael C. Mozer R. Zemel CLL 82 32 0 09 Jul 2020
Meta-Learning for One-Class Classification with Few Examples using Order-Equivariant Network Ademola Oladosu Tony Xu Philip Ekfeldt Brian A. Kelly M. Cranmer S. Ho A. Price-Whelan Gabriella Contardo 73 1 0 08 Jul 2020
Predicting the Accuracy of a Few-Shot Classifier Myriam Bontonou Louis Bethune Vincent Gripon 78 4 0 08 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 96 57 0 08 Jul 2020
Meta-active Learning in Probabilistically-Safe Optimization Mariah L. Schrum M. Connolly Eric R. Cole Mihir Ghetiya R. Gross Matthew C. Gombolay 68 12 0 07 Jul 2020
Self-organizing Democratized Learning: Towards Large-scale Distributed Learning Systems Minh N. H. Nguyen Shashi Raj Pandey Tri Nguyen Dang Eui-nam Huh N. H. Tran Walid Saad Choong Seon Hong FedML 88 32 0 07 Jul 2020
Meta-Learning with Network Pruning Hongduan Tian Bo Liu Xiaotong Yuan Qingshan Liu 61 27 0 07 Jul 2020
MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation Manqing Dong Feng Yuan Lina Yao Xiwei Xu Liming Zhu CLL 59 171 0 07 Jul 2020
Meta-Learning Symmetries by Reparameterization Allan Zhou Tom Knowles Chelsea Finn OOD 91 96 0 06 Jul 2020
Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang Henrik Marklund Nikita Dhawan Abhishek Gupta Sergey Levine Chelsea Finn OOD 85 208 0 06 Jul 2020
Meta Learning for Causal Direction Jean-François Ton Dino Sejdinovic Kenji Fukumizu CML OOD 70 18 0 06 Jul 2020
Gradient Origin Networks Sam Bond-Taylor Chris G. Willcocks BDL DRL 93 18 0 06 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 108 78 0 06 Jul 2020
Covariate Distribution Aware Meta-learning Amrith Rajagopal Setlur Saket Dingliwal Barnabás Póczós OOD BDL 91 0 0 06 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 70 2 0 06 Jul 2020
Meta-Semi: A Meta-learning Approach for Semi-supervised Learning Yulin Wang Jiayi Guo Shiji Song Gao Huang 90 27 0 05 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 98 112 0 05 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 95 1 0 05 Jul 2020
Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains Quande Liu Qi Dou Pheng-Ann Heng OOD 141 202 0 04 Jul 2020
Meta-SAC: Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient Yufei Wang Tianwei Ni 77 21 0 03 Jul 2020
A Few-Shot Sequential Approach for Object Counting Negin Sokhandan Pegah Kamousi Alejandro Posada Eniola Alese Negar Rostamzadeh 63 3 0 03 Jul 2020
In Search of Lost Domain Generalization Ishaan Gulrajani David Lopez-Paz OOD 154 1,162 0 02 Jul 2020
Learn Faster and Forget Slower via Fast and Stable Task Adaptation Farshid Varno Lucas May Petry Lisa Di-Jorio Stan Matwin CLL 70 2 0 02 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 58 4 0 02 Jul 2020
On the Outsized Importance of Learning Rates in Local Update Methods Zachary B. Charles Jakub Konecný FedML 97 54 0 02 Jul 2020
Compressed Sensing via Measurement-Conditional Generative Models Kyungsu Kim J. H. Lee Eunho Yang GAN MedIm 75 3 0 02 Jul 2020
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks H. H. Mao BDL SSL 72 50 0 01 Jul 2020
Continual Learning: Tackling Catastrophic Forgetting in Deep Neural Networks with Replay Processes Timothée Lesort CLL 85 22 0 01 Jul 2020
Online Domain Adaptation for Occupancy Mapping A. Tompkins Ransalu Senanayake F. Ramos 72 11 0 01 Jul 2020
Dynamic Regret of Policy Optimization in Non-stationary Environments Yingjie Fei Zhuoran Yang Zhaoran Wang Qiaomin Xie 95 56 0 30 Jun 2020
Deep neural networks for the evaluation and design of photonic devices Jiaqi Jiang Ming-Keh Chen Jonathan A. Fan 99 411 0 30 Jun 2020
Uniform Priors for Data-Efficient Transfer Samarth Sinha Karsten Roth Anirudh Goyal Marzyeh Ghassemi Hugo Larochelle Animesh Garg OOD 121 0 0 30 Jun 2020
Policy Gradient Optimization of Thompson Sampling Policies Seungki Min C. Moallemi Daniel Russo 64 9 0 30 Jun 2020
Guarantees for Tuning the Step Size using a Learning-to-Learn Approach Xiang Wang Shuai Yuan Chenwei Wu Rong Ge 75 16 0 30 Jun 2020
Universal linguistic inductive biases via meta-learning R. Thomas McCoy Erin Grant P. Smolensky Thomas Griffiths Tal Linzen FedML 64 27 0 29 Jun 2020
On the Iteration Complexity of Hypergradient Computation Riccardo Grazzi Luca Franceschi Massimiliano Pontil Saverio Salzo 122 197 0 29 Jun 2020
Few-Shot Microscopy Image Cell Segmentation Youssef Dawoud Julia Hornauer G. Carneiro Vasileios Belagiannis VLM 67 13 0 29 Jun 2020
Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Pratik Mazumder Pravendra Singh Vinay P. Namboodiri 72 9 0 29 Jun 2020