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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
Bayesian Residual Policy Optimization: Scalable Bayesian Reinforcement Learning with Clairvoyant Experts Gilwoo Lee Brian Hou Sanjiban Choudhury S. Srinivasa BDL OffRL 61 7 0 07 Feb 2020
Meta-learning framework with applications to zero-shot time-series forecasting Boris N. Oreshkin Dmitri Carpov Nicolas Chapados Yoshua Bengio UQCV AI4TS AI4CE 263 113 0 07 Feb 2020
Conditional Deep Gaussian Processes: multi-fidelity kernel learning Chi-Ken Lu Patrick Shafto 64 5 0 07 Feb 2020
Few-Shot Learning as Domain Adaptation: Algorithm and Analysis Jiechao Guan Zhiwu Lu Tao Xiang Ji-Rong Wen 46 12 0 06 Feb 2020
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning Rui Zhao Yang Gao Pieter Abbeel Volker Tresp Wenyuan Xu SSL 62 4 0 05 Feb 2020
Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networks Robert D. Hawkins Noah D. Goodman A. Goldberg Thomas Griffiths 85 12 0 04 Feb 2020
Bayesian Meta-Prior Learning Using Empirical Bayes Sareh Nabi Houssam Nassif Joseph Hong H. Mamani Guido Imbens 69 19 0 04 Feb 2020
Neuro-evolutionary Frameworks for Generalized Learning Agents Thommen George Karimpanal 22 1 0 04 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 139 165 0 03 Feb 2020
Unsupervised Domain Adaptive Object Detection using Forward-Backward Cyclic Adaptation Siqi Yang Lin Wu Arnold Wiliem Brian C. Lovell ObjD 55 19 0 03 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 88 24 0 03 Feb 2020
DropClass and DropAdapt: Dropping classes for deep speaker representation learning Chau Luu P. Bell Steve Renals VLM 69 3 0 02 Feb 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 367 1,710 0 02 Feb 2020
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning Mahesh Kumar Krishna Reddy M. Hossain Mrigank Rochan Yang Wang 65 40 0 01 Feb 2020
Graph-based Interpolation of Feature Vectors for Accurate Few-Shot Classification Yuqing Hu Vincent Gripon S. Pateux 75 28 0 27 Jan 2020
Heterogeneous Learning from Demonstration Rohan R. Paleja Matthew C. Gombolay 49 7 0 27 Jan 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 98 395 0 23 Jan 2020
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient Zewei Chen Fengwei Zhou George Trimponias Zhenguo Li 68 9 0 23 Jan 2020
Continual Local Replacement for Few-shot Learning Canyu Le Zhonggui Chen Xihan Wei Biao Wang Lei Zhang BDL CLL 59 2 0 23 Jan 2020
MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection Mi Luo Fei Chen Pengxiang Cheng Zhenhua Dong Xiuqiang He Jiashi Feng Zhenguo Li 96 48 0 22 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 77 49 0 22 Jan 2020
Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition Wenxuan Wang Yanwei Fu Qiang Sun Tao Chen Chenjie Cao Ziqi Zheng Guoqiang Xu Han Qiu Yu-Gang Jiang Xiangyang Xue CVBM 78 14 0 17 Jan 2020
Graph Inference Learning for Semi-supervised Classification Chunyan Xu Zhen Cui Xiaobin Hong Tong Zhang Jian Yang Wei Liu 70 30 0 17 Jan 2020
A "Network Pruning Network" Approach to Deep Model Compression Vinay Kumar Verma Pravendra Singh Vinay P. Namboodiri Piyush Rai 3DPC VLM 58 8 0 15 Jan 2020
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning Hongguang Zhang Piotr Koniusz Songlei Jian Hongdong Li Philip Torr SSL 103 60 0 12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention Hongguang Zhang Li Zhang Xiaojuan Qi Hongdong Li Philip Torr Piotr Koniusz 45 3 0 12 Jan 2020
Fine-grained Image-to-Image Transformation towards Visual Recognition Wei Xiong Yutong He Yixuan Zhang Wenhan Luo Lin Ma Jiebo Luo CVBM 93 26 0 12 Jan 2020
Fast Adaptation to Super-Resolution Networks via Meta-Learning Seobin Park Jinsu Yoo Donghyeon Cho Jiwon Kim Tae Hyun Kim SupR 62 86 0 09 Jan 2020
Self-Supervised Fast Adaptation for Denoising via Meta-Learning Seunghwan Lee Donghyeon Cho Jiwon Kim Tae Hyun Kim OOD 72 13 0 09 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip Torr Piotr Koniusz ViT 76 3 0 06 Jan 2020
Learning Reusable Options for Multi-Task Reinforcement Learning Francisco M. Garcia Chris Nota Philip S. Thomas 26 4 0 06 Jan 2020
Learning From Multiple Experts: Self-paced Knowledge Distillation for Long-tailed Classification Liuyu Xiang Guiguang Ding Jungong Han 125 287 0 06 Jan 2020
From Learning to Meta-Learning: Reduced Training Overhead and Complexity for Communication Systems Osvaldo Simeone Sangwoo Park Joonhyuk Kang AI4CE 106 62 0 05 Jan 2020
A Comprehensive Survey of Multilingual Neural Machine Translation Raj Dabre Chenhui Chu Anoop Kunchukuttan LRM 116 33 0 04 Jan 2020
Automated Relational Meta-learning Huaxiu Yao Xian Wu Zhiqiang Tao Yaliang Li Bolin Ding Ruirui Li Z. Li 102 90 0 03 Jan 2020
A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning Soochan Lee Junsoo Ha Dongsu Zhang Gunhee Kim BDL CLL 92 212 0 03 Jan 2020
DAWSON: A Domain Adaptive Few Shot Generation Framework Weixin Liang Zixuan Liu Can Liu 65 45 0 02 Jan 2020
Options of Interest: Temporal Abstraction with Interest Functions Khimya Khetarpal Martin Klissarov Maxime Chevalier-Boisvert Pierre-Luc Bacon Doina Precup 72 45 0 01 Jan 2020
Meta Reinforcement Learning with Autonomous Inference of Subtask Dependencies Sungryull Sohn Hyunjae Woo Jongwook Choi Honglak Lee OffRL 77 36 0 01 Jan 2020
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang Alexander Sax Amir Zamir Leonidas Guibas Jitendra Malik 91 28 0 31 Dec 2019
Diversity Transfer Network for Few-Shot Learning Mengting Chen Yuxin Fang Xinggang Wang Heng Luo Yifeng Geng Xinyu Zhang Chang Huang Wenyu Liu Bo Wang 93 71 0 31 Dec 2019
FLAT: Few-Shot Learning via Autoencoding Transformation Regularizers Haohang Xu H. Xiong Guojun Qi 41 2 0 29 Dec 2019
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems Yuwen Yang Fei Gao Zhimeng Zhong B. Ai Ahmed Alkhateeb 156 137 0 27 Dec 2019
Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 67 48 0 26 Dec 2019
Meta-Learning PAC-Bayes Priors in Model Averaging Yimin Huang Weiran Huang Liang-Sheng Li Zhenguo Li UD 38 8 0 24 Dec 2019
One-Shot Imitation Filming of Human Motion Videos Chong Huang Yuanjie Dang Peng Chen Xin Yang Kwang-Ting Cheng Cheng 51 5 0 23 Dec 2019
Learning to Impute: A General Framework for Semi-supervised Learning Wei-Hong Li Chuan-Sheng Foo Hakan Bilen SSL 86 10 0 22 Dec 2019
Measuring Dataset Granularity Huayu Chen Zeqi Gu D. Mahajan Laurens van der Maaten Serge J. Belongie Ser-Nam Lim 75 13 0 21 Dec 2019
Something-Else: Compositional Action Recognition with Spatial-Temporal Interaction Networks Joanna Materzynska Tete Xiao Roei Herzig Huijuan Xu Xiaolong Wang Trevor Darrell CoGe 64 176 0 20 Dec 2019
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 79 56 0 20 Dec 2019