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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
Learning Meta Model for Zero- and Few-shot Face Anti-spoofing Yunxiao Qin Chenxu Zhao Xiangyu Zhu Zezheng Wang Zitong Yu Tianyu Fu Feng Zhou Jingping Shi Zhen Lei CVBM 96 118 0 29 Apr 2019
Domain Agnostic Learning with Disentangled Representations Xingchao Peng Zijun Huang Ximeng Sun Kate Saenko OOD DRL 101 265 0 28 Apr 2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 86 188 0 25 Apr 2019
Hierarchical Meta Learning Yingtian Zou Jiashi Feng 43 4 0 19 Apr 2019
A Novel BiLevel Paradigm for Image-to-Image Translation Liqian Ma Qianru Sun Bernt Schiele Luc Van Gool 78 5 0 18 Apr 2019
Catch Me If You Can Antoine Viscardi Casey Juanxi Li Thomas Hollis DRL 20 0 0 18 Apr 2019
Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images Junsik Kim Tae-Hyun Oh Seokju Lee Fei Pan In So Kweon DRL 78 73 0 17 Apr 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 146 128 0 17 Apr 2019
Online Adaptation through Meta-Learning for Stereo Depth Estimation Zhenyu Zhang Stéphane Lathuilière Andrea Pilzer N. Sebe Elisa Ricci Jian Yang 66 20 0 17 Apr 2019
Learning Discriminative Model Prediction for Tracking Goutam Bhat Martin Danelljan Luc Van Gool Radu Timofte 151 1,046 0 15 Apr 2019
Learning to Guide: Guidance Law Based on Deep Meta-learning and Model Predictive Path Integral Control Chen Liang Weihong Wang Zhenghua Liu Chao Lai Benchun Zhou 49 29 0 15 Apr 2019
ACE: Adapting to Changing Environments for Semantic Segmentation Zuxuan Wu Xin Wang Joseph E. Gonzalez Tom Goldstein L. Davis OOD 79 103 0 12 Apr 2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning Xin Wang Feng Yu Ruth Wang Trevor Darrell Joseph E. Gonzalez 83 105 0 11 Apr 2019
MxML: Mixture of Meta-Learners for Few-Shot Classification Minseop Park Jungtaek Kim Saehoon Kim Yanbin Liu Seungjin Choi OODD 33 8 0 11 Apr 2019
Large-Scale Long-Tailed Recognition in an Open World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu 164 1,164 0 10 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 147 1,849 0 10 Apr 2019
Corpora Generation for Grammatical Error Correction Jared Lichtarge C. Alberti Shankar Kumar Noam M. Shazeer Niki Parmar Simon Tong 88 142 0 10 Apr 2019
Few-Shot Learning with Localization in Realistic Settings Davis Wertheimer Bharath Hariharan 66 145 0 09 Apr 2019
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Heda Song M. Torres Ender Ozcan I. Triguero 55 8 0 08 Apr 2019
A Closer Look at Few-shot Classification Wei-Yu Chen Yen-Cheng Liu Z. Kira Y. Wang Jia-Bin Huang 180 1,770 0 08 Apr 2019
Meta-Learning with Differentiable Convex Optimization Kwonjoon Lee Subhransu Maji Avinash Ravichandran Stefano Soatto 124 1,271 0 07 Apr 2019
Few-Shot Learning via Saliency-guided Hallucination of Samples Hongguang Zhang Jing Zhang Piotr Koniusz 98 203 0 06 Apr 2019
Learning to Adapt for Stereo A. Tonioni Oscar Rahnama Thomas Joy Luigi Di Stefano Thalaiyasingam Ajanthan Philip Torr 105 85 0 05 Apr 2019
Actively Seeking and Learning from Live Data Damien Teney Anton Van Den Hengel OOD 77 21 0 05 Apr 2019
Empirical Bayes Regret Minimization Chih-Wei Hsu Branislav Kveton Ofer Meshi Martin Mladenov Csaba Szepesvári 88 13 0 04 Apr 2019
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp Lukas P. Frohlich Kirsten Fischer Andreas Doerr Stefan Falkner Frank Hutter Christian Daniel 105 85 0 04 Apr 2019
A Hybrid Approach with Optimization and Metric-based Meta-Learner for Few-Shot Learning Duo Wang Yu Cheng Mo Yu Xiaoxiao Guo Zhang Tao VLM 56 3 0 04 Apr 2019
Comparison Network for One-Shot Conditional Object Detection Tengfei Zhang Yue Zhang Xian Sun Hao Sun Ming Yan Xue Yang Kun Fu ObjD 152 23 0 04 Apr 2019
A Training-free, One-shot Detection Framework For Geospatial Objects In Remote Sensing Images Tengfei Zhang Yue Zhang Xian Sun Ming Yan Yaoling Wang Kun Fu ObjD 56 4 0 04 Apr 2019
Hyperbolic Image Embeddings Valentin Khrulkov L. Mirvakhabova E. Ustinova Ivan Oseledets Victor Lempitsky 115 296 0 03 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 68 57 0 01 Apr 2019
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning Wenbin Li Lei Wang Jinglin Xu Jing Huo Yang Gao Jiebo Luo 96 494 0 28 Mar 2019
Regularizing Trajectory Optimization with Denoising Autoencoders Rinu Boney Norman Di Palo Mathias Berglund Alexander Ilin Arno Solin Antti Rasmus Harri Valpola 56 10 0 28 Mar 2019
Meta-Learning surrogate models for sequential decision making Alexandre Galashov Jonathan Richard Schwarz Hyunjik Kim M. Garnelo D. Saxton Pushmeet Kohli S. M. Ali Eslami Yee Whye Teh BDL OffRL 95 25 0 28 Mar 2019
Diversity with Cooperation: Ensemble Methods for Few-Shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 129 198 0 27 Mar 2019
Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods Guo-Jun Qi Jiebo Luo SSL 61 246 0 27 Mar 2019
Learning-to-Learn Stochastic Gradient Descent with Biased Regularization Giulia Denevi C. Ciliberto Riccardo Grazzi Massimiliano Pontil 82 110 0 25 Mar 2019
Learning from Adversarial Features for Few-Shot Classification Wei Shen Ziqiang Shi Jun Sun 49 9 0 25 Mar 2019
f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Yongqin Xian Saurabh Sharma Bernt Schiele Zeynep Akata GAN VLM 101 491 0 25 Mar 2019
Few-shot Adaptive Faster R-CNN Tao Wang Xiaopeng Zhang Li-xin Yuan Jiashi Feng ObjD 116 132 0 22 Mar 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 98 665 0 19 Mar 2019
Hindsight Generative Adversarial Imitation Learning N. Liu Tao Lu Yinghao Cai Boyao Li Shuo Wang 78 6 0 19 Mar 2019
Neuromorphic Hardware learns to learn Thomas Bohnstingl Franz Scherr Christian Pehle K. Meier Wolfgang Maass 51 48 0 15 Mar 2019
Adaptive Variance for Changing Sparse-Reward Environments Xingyu Lin Pengsheng Guo Carlos Florensa David Held 59 6 0 15 Mar 2019
Dense Classification and Implanting for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard Andrei Bursuc VLM 65 198 0 12 Mar 2019
Machine Learning Solutions for High Energy Physics: Applications to Electromagnetic Shower Generation, Flavor Tagging, and the Search for di-Higgs Production Michela Paganini 29 1 0 12 Mar 2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs Pravendra Singh Vinay Kumar Verma Piyush Rai Vinay P. Namboodiri 82 98 0 11 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition Paresh Malalur Tommi Jaakkola ObjD VLM 40 0 0 11 Mar 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval Anjan Dutta Zeynep Akata 91 145 0 08 Mar 2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning Alex Kearney Vivek Veeriah Jaden B. Travnik P. Pilarski R. Sutton OOD 59 13 0 08 Mar 2019