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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
Meta-Learning with Dynamic-Memory-Based Prototypical Network for Few-Shot Event Detection Shumin Deng Ningyu Zhang Jiaojian Kang Yichi Zhang Wei Zhang Huajun Chen 96 136 0 25 Oct 2019
Meta-learning for robust child-adult classification from speech Nithin Rao Koluguri Manoj Kumar So Hyun Kim C. Lord Shrikanth Narayanan 67 19 0 24 Oct 2019
RoboNet: Large-Scale Multi-Robot Learning Sudeep Dasari F. Ebert Stephen Tian Suraj Nair Bernadette Bucher Karl Schmeckpeper Siddharth Singh Sergey Levine Chelsea Finn LM&Ro 121 304 0 24 Oct 2019
Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning Tianhe Yu Deirdre Quillen Zhanpeng He Ryan Julian Avnish Narayan Hayden Shively Adithya Bellathur Karol Hausman Chelsea Finn Sergey Levine OffRL 316 1,182 0 24 Oct 2019
Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control Jonathan D. Chang Nishanth Kumar Sean P. Hastings Aaron Gokaslan Diego Romeres Devesh K. Jha D. Nikovski George Konidaris Stefanie Tellex 105 10 0 23 Oct 2019
Speaker Adaptive Training using Model Agnostic Meta-Learning Ondˇrej Klejch Joachim Fainberg P. Bell Steve Renals 84 30 0 23 Oct 2019
Bottom-Up Meta-Policy Search Luckeciano C. Melo Marcos R. O. A. Máximo A. Cunha 68 6 0 22 Oct 2019
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Fajie Yuan Zhumin Chen Zhaochun Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 111 121 0 22 Oct 2019
Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels Sangwoo Park Osvaldo Simeone Joonhyuk Kang 68 51 0 22 Oct 2019
Domain-agnostic Question-Answering with Adversarial Training Seanie Lee Donggyu Kim Jangwon Park OOD 53 72 0 21 Oct 2019
Regularization Matters in Policy Optimization Zhuang Liu Xuanlin Li Bingyi Kang Trevor Darrell OffRL 83 33 0 21 Oct 2019
Dynamic Subgoal-based Exploration via Bayesian Optimization Yijia Wang Matthias Poloczek Daniel R. Jiang 80 3 0 21 Oct 2019
NormGrad: Finding the Pixels that Matter for Training Sylvestre-Alvise Rebuffi Ruth C. Fong Xu Ji Hakan Bilen Andrea Vedaldi FAtt 45 5 0 19 Oct 2019
Texture Bias Of CNNs Limits Few-Shot Classification Performance Sam Ringer Will Williams T. Ash R. Francis D. Macleod SSL 55 12 0 18 Oct 2019
On Warm-Starting Neural Network Training Jordan T. Ash Ryan P. Adams AI4CE 58 21 0 18 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 93 279 0 18 Oct 2019
Multi-View Reinforcement Learning Minne Li Lisheng Wu Haitham Bou-Ammar Jun Wang 64 26 0 18 Oct 2019
Estimator Vectors: OOV Word Embeddings based on Subword and Context Clue Estimates R. Patel C. Domeniconi 36 5 0 18 Oct 2019
Federated Learning with Unbiased Gradient Aggregation and Controllable Meta Updating Xin Yao Tianchi Huang Ruixiao Zhang Ruiyu Li Lifeng Sun FedML 85 72 0 18 Oct 2019
Recurrent Attentive Neural Process for Sequential Data Shenghao Qin Jiacheng Zhu Jimmy Qin Wenshuo Wang Ding Zhao BDL AI4TS 81 38 0 17 Oct 2019
Meta-learning for fast classifier adaptation to new users of Signature Verification systems L. G. Hafemann R. Sabourin Luiz Eduardo Soares de Oliveira AAML 68 27 0 17 Oct 2019
Single Episode Policy Transfer in Reinforcement Learning Jiachen Yang Brenden K. Petersen H. Zha Daniel Faissol OOD OffRL 125 35 0 17 Oct 2019
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 280 647 0 17 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 127 103 0 16 Oct 2019
Model-Agnostic Meta-Learning using Runge-Kutta Methods Daniel Jiwoong Im Yibo Jiang Nakul Verma 41 4 0 16 Oct 2019
Solving Rubik's Cube with a Robot Hand OpenAI Ilge Akkaya Marcin Andrychowicz Maciek Chociej Ma-teusz Litwin ... Peter Welinder Lilian Weng Qiming Yuan Wojciech Zaremba Lei Zhang ODL 201 1,236 0 16 Oct 2019
Transfer Learning for Algorithm Recommendation G. Pereira M. Santos Edesio Alcobaça R. G. Mantovani A. Carvalho 45 2 0 15 Oct 2019
Embodiment dictates learnability in neural controllers Joshua P. Powers Ryan Grindle Sam Kriegman Lapo Frati Nick Cheney Josh Bongard 43 5 0 15 Oct 2019
Actor Critic with Differentially Private Critic Jonathan Lebensold William L. Hamilton Borja Balle Doina Precup OffRL 45 9 0 14 Oct 2019
Self-supervised Label Augmentation via Input Transformations Hankook Lee Sung Ju Hwang Jinwoo Shin SSL 68 63 0 14 Oct 2019
On the Utility of Learning about Humans for Human-AI Coordination Micah Carroll Rohin Shah Mark K. Ho Thomas Griffiths Sanjit A. Seshia Pieter Abbeel Anca Dragan HAI 80 405 0 13 Oct 2019
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels Massimiliano Patacchiola Jack Turner Elliot J. Crowley Michael F. P. O'Boyle Amos Storkey BDL 84 19 0 11 Oct 2019
SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction Qichen Li Jiaxin Pei Jianding Zhang Bo Han 15 1 0 11 Oct 2019
On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor Kenneth Stewart Garrick Orchard S. Shrestha Emre Neftci BDL 65 26 0 11 Oct 2019
Modeling Conceptual Understanding in Image Reference Games Rodolfo Corona Stephan Alaniz Zeynep Akata 100 27 0 10 Oct 2019
MetaPix: Few-Shot Video Retargeting Jessica Lee Deva Ramanan Rohit Girdhar VGen ViT 68 26 0 10 Oct 2019
Using Neural Networks for Programming by Demonstration K. K. Budhraja Hang Gao Tim Oates 16 0 0 10 Oct 2019
Learning to Remember from a Multi-Task Teacher Yuwen Xiong Mengye Ren R. Urtasun CLL KELM OOD 69 4 0 10 Oct 2019
A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification Varun Kumar Hadrien Glaude Cyprien de Lichy William Campbell 96 85 0 09 Oct 2019
Imagined Value Gradients: Model-Based Policy Optimization with Transferable Latent Dynamics Models Arunkumar Byravan Jost Tobias Springenberg A. Abdolmaleki Roland Hafner Michael Neunert Thomas Lampe Noah Y. Siegel N. Heess Martin Riedmiller OffRL 83 41 0 09 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 95 119 0 09 Oct 2019
When Does Self-supervision Improve Few-shot Learning? Jong-Chyi Su Subhransu Maji B. Hariharan 98 171 0 08 Oct 2019
Semi Few-Shot Attribute Translation Ricard Durall Franz-Josef Pfreundt J. Keuper GAN VLM 55 3 0 08 Oct 2019
Meta Module Network for Compositional Visual Reasoning Wenhu Chen Zhe Gan Linjie Li Yu Cheng Wenjie Wang Jingjing Liu LRM 93 71 0 08 Oct 2019
Graph Few-shot Learning via Knowledge Transfer Huaxiu Yao Chuxu Zhang Ying Wei Meng Jiang Suhang Wang Junzhou Huang Nitesh Chawla Z. Li 135 168 0 07 Oct 2019
Meta-Learning Deep Energy-Based Memory Models Sergey Bartunov Jack W. Rae Simon Osindero Timothy Lillicrap 167 34 0 07 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 113 104 0 07 Oct 2019
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Limeng Qiao Yemin Shi Jia Li Yaowei Wang Tiejun Huang Yonghong Tian 70 182 0 05 Oct 2019
Zero Shot Learning on Simulated Robots Robert Kwiatkowski Hod Lipson 44 0 0 04 Oct 2019
Few-Shot Abstract Visual Reasoning With Spectral Features Tanner A. Bohn Yining Hu Charles X. Ling VLM 49 3 0 04 Oct 2019