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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 Sparse Experience Replay for Lifelong Language Learning Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova KELM CLL 81 22 0 10 Sep 2020
Importance Weighted Policy Learning and Adaptation Alexandre Galashov Jakub Sygnowski Guillaume Desjardins Jan Humplik Leonard Hasenclever Rae Jeong Yee Whye Teh N. Heess OffRL 88 1 0 10 Sep 2020
Transfer Graph Neural Networks for Pandemic Forecasting G. Panagopoulos Giannis Nikolentzos Michalis Vazirgiannis 70 7 0 10 Sep 2020
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition Siteng Huang Min Zhang Yachen Kang Donglin Wang 60 43 0 10 Sep 2020
Routing Networks with Co-training for Continual Learning Mark Collier Efi Kokiopoulou Andrea Gesmundo Jesse Berent CLL 83 15 0 09 Sep 2020
Proxy Network for Few Shot Learning Bin Xiao Chien-Liang Liu W. Hsaio 30 5 0 09 Sep 2020
Meta-learning based Alternating Minimization Algorithm for Non-convex Optimization Jingyuan Xia Shengxi Li Jun-Jie Huang I. Jaimoukha Deniz Gündüz 80 72 0 09 Sep 2020
One-shot Text Field Labeling using Attention and Belief Propagation for Structure Information Extraction Mengli Cheng Minghui Qiu Xing Shi Jun Huang Wei Lin VLM 81 27 0 09 Sep 2020
Imbalanced Continual Learning with Partitioning Reservoir Sampling C. Kim Jinseo Jeong Gunhee Kim CLL 93 105 0 08 Sep 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 63 16 0 08 Sep 2020
Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment Jithin Jagannath Anu Jagannath Sean Furman Tyler Gwin 84 25 0 07 Sep 2020
Information Theoretic Meta Learning with Gaussian Processes Michalis K. Titsias Francisco J. R. Ruiz Sotirios Nikoloutsopoulos Alexandre Galashov FedML 108 15 0 07 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 110 52 0 06 Sep 2020
Class Interference Regularization Bharti Munjal S. Amin Fabio Galasso 44 0 0 04 Sep 2020
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution Ze Wang Xiuyuan Cheng Guillermo Sapiro Qiang Qiu 36 9 0 04 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 106 222 0 04 Sep 2020
Sparse Meta Networks for Sequential Adaptation and its Application to Adaptive Language Modelling Tsendsuren Munkhdalai CLL OffRL 54 4 0 03 Sep 2020
Grounded Language Learning Fast and Slow Felix Hill O. Tieleman Tamara von Glehn Nathaniel Wong Hamza Merzic S. Clark LM&Ro 172 81 0 03 Sep 2020
Few-shot Object Detection with Feature Attention Highlight Module in Remote Sensing Images Zixuan Xiao P. Zhong Yu Quan Xuping Yin Wei Xue ObjD 22 9 0 03 Sep 2020
Yet Meta Learning Can Adapt Fast, It Can Also Break Easily Han Xu Yaxin Li Xiaorui Liu Hui Liu Jiliang Tang AAML 133 10 0 02 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
Select-ProtoNet: Learning to Select for Few-Shot Disease Subtype Prediction Ziyi Yang Jun Shu Yong Liang Deyu Meng Zongben Xu 55 2 0 02 Sep 2020
Improved Bilevel Model: Fast and Optimal Algorithm with Theoretical Guarantee Junyi Li Bin Gu Heng-Chiao Huang 75 41 0 01 Sep 2020
Multimodal Aggregation Approach for Memory Vision-Voice Indoor Navigation with Meta-Learning Liqi Yan Dongfang Liu Yaoxian Song Changbin (Brad) Yu 78 14 0 01 Sep 2020
A Meta-Learning Control Algorithm with Provable Finite-Time Guarantees Deepan Muthirayan Pramod P. Khargonekar 88 0 0 30 Aug 2020
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization Prithvijit Chattopadhyay Yogesh Balaji Judy Hoffman OOD 105 210 0 28 Aug 2020
Few-Shot Object Detection via Knowledge Transfer Geonuk Kim Hong G Jung Seong-Whan Lee ObjD 90 28 0 28 Aug 2020
Meta Reinforcement Learning-Based Lane Change Strategy for Autonomous Vehicles Fei Ye Pin Wang Ching-yao Chan Jiucai Zhang 52 20 0 28 Aug 2020
learn2learn: A Library for Meta-Learning Research Sébastien M. R. Arnold Praateek Mahajan Debajyoti Datta Ian Bunner Konstantinos Saitas Zarkias 140 96 0 27 Aug 2020
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings Alexander Wang Mengye Ren R. Zemel SSL 60 22 0 27 Aug 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI Katya Kudashkina P. Pilarski R. Sutton KELM 84 6 0 27 Aug 2020
MetaDistiller: Network Self-Boosting via Meta-Learned Top-Down Distillation Benlin Liu Yongming Rao Jiwen Lu Jie Zhou Cho-Jui Hsieh 77 37 0 27 Aug 2020
Meta-Learning with Shared Amortized Variational Inference E. Iakovleva Jakob Verbeek Alahari Karteek OOD FedML BDL 55 22 0 27 Aug 2020
Optimization for Supervised Machine Learning: Randomized Algorithms for Data and Parameters Filip Hanzely 87 0 0 26 Aug 2020
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework T. Lew Apoorva Sharma James Harrison Andrew Bylard Marco Pavone 109 47 0 26 Aug 2020
Transductive Information Maximization For Few-Shot Learning Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony José Dolz Pablo Piantanida Ismail Ben Ayed VLM 96 79 0 25 Aug 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
The Advantage of Conditional Meta-Learning for Biased Regularization and Fine-Tuning Giulia Denevi Massimiliano Pontil C. Ciliberto 104 41 0 25 Aug 2020
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 139 82 0 25 Aug 2020
Sampling-based Reachability Analysis: A Random Set Theory Approach with Adversarial Sampling T. Lew Marco Pavone AAML 113 53 0 24 Aug 2020
Fast Bi-layer Neural Synthesis of One-Shot Realistic Head Avatars Egor Zakharov Aleksei Ivakhnenko Aliaksandra Shysheya Victor Lempitsky 3DH 85 163 0 24 Aug 2020
Learning Models of Individual Behavior in Chess Reid McIlroy-Young Russell Wang S. Sen Jon M. Kleinberg Ashton Anderson 73 12 0 23 Aug 2020
ADAIL: Adaptive Adversarial Imitation Learning Balaraman Ravindran Sergey Levine 58 7 0 23 Aug 2020
Few-Shot Image Classification via Contrastive Self-Supervised Learning Jianyi Li Guizhong Liu VLM SSL MQ 46 13 0 23 Aug 2020
DMRO:A Deep Meta Reinforcement Learning-based Task Offloading Framework for Edge-Cloud Computing Guanjin Qu Huaming Wu OffRL 77 185 0 23 Aug 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-Xiong Wang Kris Kitani Ruslan Salakhutdinov M. Hebert VLM 59 3 0 22 Aug 2020
CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application Yu-Wen Chen Kuo-Hsuan Hung You-Jin Li A. Kang Ya-Hsin Lai Kai-Chun Liu Szu-Wei Fu Syu-Siang Wang Yu Tsao 106 5 0 21 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 49 9 0 20 Aug 2020
Query Twice: Dual Mixture Attention Meta Learning for Video Summarization Junyan Wang Yang Bai Yang Long Bingzhang Hu Z. Chai Yu Guan Xiaolin K. Wei EgoV 71 15 0 19 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 102 22 0 18 Aug 2020