v1v2v3 (latest)

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"

50 / 5,504 papers shown

Title
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 55 17 0 06 Aug 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector Qi Fan Wei Zhuo Chi-Keung Tang Yu-Wing Tai ObjD 174 535 0 06 Aug 2019
Learning to Generalize to Unseen Tasks with Bilevel Optimization Hayeon Lee Donghyun Na Haebeom Lee Sung Ju Hwang 39 1 0 05 Aug 2019
Low-Rank Pairwise Alignment Bilinear Network For Few-Shot Fine-Grained Image Classification Huaxi Huang Junjie Zhang Jian Zhang Jingsong Xu Qiang Wu 131 122 0 04 Aug 2019
Continual Learning via Online Leverage Score Sampling D. Teng Sakyasingha Dasgupta CLL 40 5 0 01 Aug 2019
Few-Shot Meta-Denoising Leslie Casas Attila Klimmek G. Carneiro Nassir Navab Vasileios Belagiannis 68 5 0 31 Jul 2019
MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation Hoyeop Lee Jinbae Im Seongwon Jang Hyunsouk Cho Sehee Chung 58 369 0 31 Jul 2019
Pay attention to the activations: a modular attention mechanism for fine-grained image recognition Pau Rodríguez López Diego A. Velázquez Guillem Cucurull J. M. Gonfaus F. X. Roca Jordi Gonzalez 125 75 0 30 Jul 2019
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation Xiang Li Tianhan Wei Yau Pun Chen Yu-Wing Tai Chi-Keung Tang VLM 102 249 0 29 Jul 2019
Meta Learning for Task-Driven Video Summarization Xuelong Li Hongli Li Yongsheng Dong 55 22 0 29 Jul 2019
V-PROM: A Benchmark for Visual Reasoning Using Visual Progressive Matrices Damien Teney Peng Wang Jiewei Cao Lingqiao Liu Chunhua Shen Anton Van Den Hengel 65 31 0 29 Jul 2019
Charting the Right Manifold: Manifold Mixup for Few-shot Learning Puneet Mangla M. Singh Abhishek Sinha Nupur Kumari V. Balasubramanian Balaji Krishnamurthy SSL 113 329 0 28 Jul 2019
ROAM: Recurrently Optimizing Tracking Model Tianyu Yang Pengfei Xu Runbo Hu Hua Chai Antoni B. Chan 92 93 0 28 Jul 2019
Learnable Parameter Similarity Guangcong Wang Jianhuang Lai Wenqi Liang Guangrun Wang 112 0 0 27 Jul 2019
Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Cuong C. Nguyen Thanh-Toan Do G. Carneiro OOD BDL UQCV 83 54 0 27 Jul 2019
Environment Probing Interaction Policies Wenxuan Zhou Lerrel Pinto Abhinav Gupta 61 67 0 26 Jul 2019
Unsupervised Domain Adaptation via Calibrating Uncertainties Ligong Han Yang Zou Ruijiang Gao Lezi Wang Dimitris N. Metaxas 66 30 0 25 Jul 2019
Higher-Order Function Networks for Learning Composable 3D Object Representations E. Mitchell Kazim Selim Engin Volkan Isler Daniel D. Lee AI4CE 3DPC 72 22 0 24 Jul 2019
Metalearned Neural Memory Tsendsuren Munkhdalai Alessandro Sordoni Tong Wang Adam Trischler KELM 63 62 0 23 Jul 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 130 1,015 0 23 Jul 2019
Few-shot Learning for Domain-specific Fine-grained Image Classification Changrui Chen Hongwei Xv Junyu Dong Qiong Li Xin Sun 116 63 0 23 Jul 2019
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning Kelsey R. Allen Kevin A. Smith J. Tenenbaum LRM 116 119 0 22 Jul 2019
Relational Generalized Few-Shot Learning Xiahan Shi Leonard Salewski Martin Schiegg Zeynep Akata Max Welling 78 24 0 22 Jul 2019
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition Huseyin Coskun Zeeshan Zia Bugra Tekin Federica Bogo Nassir Navab Federico Tombari H. Sawhney 79 27 0 22 Jul 2019
TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition M. Bishay Georgios Zoumpourlis Ioannis Patras ViT 94 155 0 21 Jul 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier Matthieu Geist Olivier Pietquin OffRL 86 6 0 18 Jul 2019
Unsupervised Task Design to Meta-Train Medical Image Classifiers Gabriel Maicas Cuong C. Nguyen F. Motlagh Jacinto C. Nascimento G. Carneiro 34 4 0 17 Jul 2019
Meta-descent for Online, Continual Prediction Andrew Jacobsen M. Schlegel Cam Linke T. Degris Adam White Martha White 68 23 0 17 Jul 2019
Towards Understanding Generalization in Gradient-Based Meta-Learning Simon Guiroy Vikas Verma C. Pal 73 21 0 16 Jul 2019
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations B. Gaudet R. Linares R. Furfaro 41 33 0 13 Jul 2019
Evolvability ES: Scalable and Direct Optimization of Evolvability A. Gajewski Jeff Clune Kenneth O. Stanley Joel Lehman 135 26 0 13 Jul 2019
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges N. Arivazhagan Ankur Bapna Orhan Firat Dmitry Lepikhin Melvin Johnson ... George F. Foster Colin Cherry Wolfgang Macherey Zhiwen Chen Yonghui Wu 109 429 0 11 Jul 2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning Nicholas C. Landolfi G. Thomas Tengyu Ma OffRL 64 19 0 11 Jul 2019
Video Action Recognition Via Neural Architecture Searching Wei Peng Xiaopeng Hong Guoying Zhao 99 36 0 10 Jul 2019
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances Tianming Wang Wenjie Lu Zheng Yan Dikai Liu 59 4 0 10 Jul 2019
DeepXDE: A deep learning library for solving differential equations Lu Lu Xuhui Meng Zhiping Mao George Karniadakis PINN AI4CE 161 1,555 0 10 Jul 2019
The Mass, Fake News, and Cognition Security Bin Guo Yasan Ding Yueheng Sun Shuai Ma Ke Li 61 24 0 09 Jul 2019
Learning to Optimize Domain Specific Normalization for Domain Generalization Seonguk Seo Yumin Suh Dongwan Kim Geeho Kim Jongwoo Han Bohyung Han AI4CE 110 249 0 09 Jul 2019
Data Efficient Reinforcement Learning for Legged Robots Yuxiang Yang Ken Caluwaerts Atil Iscen Tingnan Zhang Jie Tan Vikas Sindhwani 85 141 0 08 Jul 2019
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks Ziliang Chen Jingyu Zhuang Xiaodan Liang Liang Lin OOD 104 84 0 08 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 153 369 0 06 Jul 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 96 96 0 06 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 83 41 0 05 Jul 2019
Benchmarking Model-Based Reinforcement Learning Tingwu Wang Xuchan Bao I. Clavera Jerrick Hoang Yeming Wen Eric D. Langlois Matthew Shunshi Zhang Guodong Zhang Pieter Abbeel Jimmy Ba OffRL 108 365 0 03 Jul 2019
Generalizing from a few environments in safety-critical reinforcement learning Zachary Kenton Angelos Filos Owain Evans Y. Gal 87 16 0 02 Jul 2019
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Wenling Shang Alexander R. Trott Stephan Zheng Caiming Xiong R. Socher 92 18 0 01 Jul 2019
Few-Shot Representation Learning for Out-Of-Vocabulary Words Ziniu Hu Ting-Li Chen Kai-Wei Chang Yizhou Sun 91 77 0 01 Jul 2019
Difficulty-aware Meta-learning for Rare Disease Diagnosis Xuelong Li Lequan Yu Yueming Jin Chi-Wing Fu Lei Xing Pheng-Ann Heng 89 65 0 30 Jun 2019
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges Timothée Lesort Vincenzo Lomonaco Andrei Stoian Davide Maltoni David Filliat Natalia Díaz Rodríguez CLL 139 250 0 29 Jun 2019
Few-Shot Video Classification via Temporal Alignment Kaidi Cao Jingwei Ji Zhangjie Cao C. Chang Juan Carlos Niebles AI4TS 93 242 0 27 Jun 2019