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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
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning Ren Wang Kaidi Xu Sijia Liu Pin-Yu Chen Tsui-Wei Weng Chuang Gan Meng Wang AAML 100 47 0 20 Feb 2021
Meta-Learning Dynamics Forecasting Using Task Inference Rui Wang Robin Walters Rose Yu OOD AI4TS AI4CE 140 36 0 20 Feb 2021
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques Filip Hanzely Boxin Zhao Mladen Kolar FedML 90 53 0 19 Feb 2021
Meta-Transfer Learning for Low-Resource Abstractive Summarization Yi-Syuan Chen Hong-Han Shuai CLL OffRL 103 39 0 18 Feb 2021
Few-shot Conformal Prediction with Auxiliary Tasks Adam Fisch Tal Schuster Tommi Jaakkola Regina Barzilay 377 56 0 17 Feb 2021
Group Equivariant Conditional Neural Processes M. Kawano Wataru Kumagai Akiyoshi Sannai Yusuke Iwasawa Y. Matsuo BDL 101 20 0 17 Feb 2021
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications Matthias Paulik M. Seigel Henry Mason Dominic Telaar Joris Kluivers ... Dominic Hughes O. Javidbakht Fei Dong Rehan Rishi Stanley Hung FedML 276 128 0 16 Feb 2021
Model-based Meta Reinforcement Learning using Graph Structured Surrogate Models Q. Wang H. V. Hoof OffRL 69 20 0 16 Feb 2021
A General Descent Aggregation Framework for Gradient-based Bi-level Optimization Risheng Liu Pan Mu Xiaoming Yuan Shangzhi Zeng Jin Zhang AI4CE 134 36 0 16 Feb 2021
A Survey of Machine Learning for Computer Architecture and Systems Nan Wu Yuan Xie AI4TS AI4CE 108 153 0 16 Feb 2021
Few-Shot Graph Learning for Molecular Property Prediction Zhichun Guo Chuxu Zhang Wenhao Yu John E. Herr Olaf Wiest Meng Jiang Nitesh Chawla AI4CE 179 176 0 16 Feb 2021
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning Idan Achituve Aviv Navon Yochai Yemini Gal Chechik Ethan Fetaya GP 64 34 0 15 Feb 2021
Meta Back-translation Hieu H. Pham Xinyi Wang Yiming Yang Graham Neubig 69 26 0 15 Feb 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum Prashant Khanduri Siliang Zeng Mingyi Hong Hoi-To Wai Zhaoran Wang Zhuoran Yang 92 132 0 15 Feb 2021
Large-Scale Meta-Learning with Continual Trajectory Shifting Jaewoong Shin Haebeom Lee Boqing Gong Sung Ju Hwang 47 16 0 14 Feb 2021
Sample Efficient Subspace-based Representations for Nonlinear Meta-Learning Halil Ibrahim Gulluk Yue Sun Samet Oymak Maryam Fazel 60 2 0 14 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization Canh T. Dinh Thanh Tung Vu N. H. Tran Minh N. Dao Hongyu Zhang FedML 127 43 0 14 Feb 2021
Multi-Objective Meta Learning Feiyang Ye Baijiong Lin Zhixiong Yue Pengxin Guo Qiao Xiao Yu Zhang 101 49 0 14 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 65 3 0 14 Feb 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 76 18 0 13 Feb 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 81 36 0 12 Feb 2021
Partially Observed Exchangeable Modeling Yang Li Junier B. Oliva 58 5 0 11 Feb 2021
Freudian and Newtonian Recurrent Cell for Sequential Recommendation Hoyeop Lee Jinbae Im Chang Ouk Kim Sehee Chung 21 0 0 11 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 144 42 0 10 Feb 2021
Biomedical Question Answering: A Survey of Approaches and Challenges Qiao Jin Zheng Yuan Guangzhi Xiong Qian Yu Huaiyuan Ying Chuanqi Tan Mosha Chen Songfang Huang Xiaozhong Liu Sheng Yu 108 104 0 10 Feb 2021
Transfer Reinforcement Learning across Homotopy Classes Zhangjie Cao Minae Kwon Dorsa Sadigh 49 17 0 10 Feb 2021
Meta-Learning for Koopman Spectral Analysis with Short Time-series Tomoharu Iwata Yoshinobu Kawahara AI4TS 57 0 0 09 Feb 2021
MetaTune: Meta-Learning Based Cost Model for Fast and Efficient Auto-tuning Frameworks Jaehun Ryu Hyojin Sung 85 17 0 08 Feb 2021
Deep Reinforcement Learning for the Control of Robotic Manipulation: A Focussed Mini-Review Rongrong Liu F. Nageotte P. Zanne M. de Mathelin Birgitta Dresp 104 150 0 08 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 135 43 0 08 Feb 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Zhiqiang Shen Zechun Liu Jie Qin Marios Savvides Kwang-Ting Cheng CLL 87 160 0 08 Feb 2021
Lower Bounds and Accelerated Algorithms for Bilevel Optimization Kaiyi Ji Yingbin Liang 64 58 0 07 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 62 20 0 07 Feb 2021
Functional optimal transport: map estimation and domain adaptation for functional data Jiacheng Zhu Aritra Guha Dat Do Mengdi Xu X. Nguyen Ding Zhao OT 106 8 0 07 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 123 51 0 07 Feb 2021
Hyperparameter Optimization with Differentiable Metafeatures H. Jomaa Lars Schmidt-Thieme Josif Grabocka AI4CE 50 3 0 07 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 56 14 0 07 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 118 26 0 06 Feb 2021
Federated Reconstruction: Partially Local Federated Learning K. Singhal Hakim Sidahmed Zachary Garrett Shanshan Wu Keith Rush Sushant Prakash FedML 112 143 0 05 Feb 2021
Reducing the Amortization Gap in Variational Autoencoders: A Bayesian Random Function Approach Minyoung Kim Vladimir Pavlovic BDL 100 6 0 05 Feb 2021
Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents Jane X. Wang Michael King Nicolas Porcel Z. Kurth-Nelson Tina Zhu ... Neil C. Rabinowitz Loic Matthey Demis Hassabis Alexander Lerchner M. Botvinick OffRL 93 33 0 04 Feb 2021
How to Train Your Robot with Deep Reinforcement Learning; Lessons We've Learned Julian Ibarz Jie Tan Chelsea Finn Mrinal Kalakrishnan P. Pastor Sergey Levine OffRL 162 538 0 04 Feb 2021
Exploring Beyond-Demonstrator via Meta Learning-Based Reward Extrapolation Mingqi Yuan Man-On Pun 90 0 0 04 Feb 2021
Isometric Propagation Network for Generalized Zero-shot Learning Lu Liu Dinesh Manocha Guodong Long Jing Jiang Xuanyi Dong Chengqi Zhang 77 36 0 03 Feb 2021
Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search Federico A. Galatolo M. G. Cimino G. Vaglini VLM 194 87 0 02 Feb 2021
Transfer Learning in Magnetic Resonance Brain Imaging: a Systematic Review Juan Miguel Valverde Vandad Imani A. Abdollahzadeh Riccardo De Feo M. Prakash Robert Ciszek Jussi Tohka OOD 87 95 0 02 Feb 2021
Scaling Laws for Transfer Danny Hernandez Jared Kaplan T. Henighan Sam McCandlish 105 251 0 02 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 70 17 0 01 Feb 2021
Few-shot Image Classification with Multi-Facet Prototypes Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 45 4 0 01 Feb 2021
NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning Rongjun Qin Songyi Gao Xingyuan Zhang Zhen Xu Shengkai Huang Zewen Li Weinan Zhang Yang Yu OffRL 201 83 0 01 Feb 2021