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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
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos 75 14 0 01 May 2021
A Meta-Learning-based Trajectory Tracking Framework for UAVs under Degraded Conditions Esen Yel Nicola Bezzo 84 9 0 30 Apr 2021
Updatable Siamese Tracker with Two-stage One-shot Learning Xing Sun G. Han Lihong Guo Tingfa Xu Jianan Li Peixun Liu 78 9 0 30 Apr 2021
Few-Shot Video Object Detection Qi Fan Chi-Keung Tang Yu-Wing Tai 87 11 0 30 Apr 2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer Zhiyuan Wu Yu-Gang Jiang Minghao Zhao Chupeng Cui Zongmin Yang Xinhui Xue Hong Qi VLM 49 9 0 29 Apr 2021
Using Meta Reinforcement Learning to Bridge the Gap between Simulation and Experiment in Energy Demand Response Doseok Jang Lucas Spangher Manan Khattar Utkarsha Agwan C. Spanos 109 8 0 29 Apr 2021
What is Going on Inside Recurrent Meta Reinforcement Learning Agents? Safa Alver Doina Precup AIFin 30 4 0 29 Apr 2021
Cluster-driven Graph Federated Learning over Multiple Domains Debora Caldarola Massimiliano Mancini Fabio Galasso Marco Ciccone Emanuele Rodolà Barbara Caputo FedML 125 86 0 29 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 130 58 0 29 Apr 2021
Generalization Guarantees for Neural Architecture Search with Train-Validation Split Samet Oymak Mingchen Li Mahdi Soltanolkotabi AI4CE OOD 85 15 0 29 Apr 2021
Adaptive Adversarial Training for Meta Reinforcement Learning Shiqi Chen Zhengyu Chen Donglin Wang 79 7 0 27 Apr 2021
Why AI is Harder Than We Think Melanie Mitchell 124 97 0 26 Apr 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 113 24 0 26 Apr 2021
Learning to Learn to be Right for the Right Reasons Pride Kavumba Benjamin Heinzerling Ana Brassard Kentaro Inui OOD ReLM LRM 49 4 0 23 Apr 2021
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification Yun Yvonna Li Zhe Liu Lina Yao Can Wang VLM 91 26 0 22 Apr 2021
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics Chen Huang Shuangfei Zhai Pengsheng Guo J. Susskind 105 12 0 21 Apr 2021
Stateless Neural Meta-Learning using Second-Order Gradients Mike Huisman Aske Plaat Jan N. van Rijn 60 7 0 21 Apr 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 77 12 0 21 Apr 2021
SelfReg: Self-supervised Contrastive Regularization for Domain Generalization Daehee Kim Seunghyun Park Jinkyu Kim Jaekoo Lee OOD SSL 137 273 0 20 Apr 2021
Visual Navigation with Spatial Attention Bar Mayo Tamir Hazan A. Tal EgoV 84 76 0 20 Apr 2021
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering Meryem M'hamdi Doo Soon Kim Franck Dernoncourt Trung Bui Xiang Ren Jonathan May 93 20 0 20 Apr 2021
Few-shot learning via tensor hallucination Michalis Lazarou Yannis Avrithis Tania Stathaki 58 4 0 19 Apr 2021
Latent-Optimized Adversarial Neural Transfer for Sarcasm Detection Xu Guo Boyang Albert Li Han Yu Chunyan Miao AAML 96 18 0 19 Apr 2021
Do We Really Need Gold Samples for Sample Weighting Under Label Noise? Aritra Ghosh Andrew Lan NoLa 88 9 0 19 Apr 2021
Few-shot Continual Learning: a Brain-inspired Approach Liyuan Wang Qian Li Yi Zhong Jun Zhu CLL 68 5 0 19 Apr 2021
Few-shot Learning for Topic Modeling Tomoharu Iwata BDL 153 7 0 19 Apr 2021
Quick Learner Automated Vehicle Adapting its Roadmanship to Varying Traffic Cultures with Meta Reinforcement Learning Songan Zhang Lu Wen H. Peng H. E. Tseng 41 10 0 18 Apr 2021
On the Influence of Masking Policies in Intermediate Pre-training Qinyuan Ye Belinda Z. Li Sinong Wang Benjamin Bolte Hao Ma Wen-tau Yih Xiang Ren Madian Khabsa 99 12 0 18 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 322 185 0 18 Apr 2021
Zero-shot Cross-lingual Transfer of Neural Machine Translation with Multilingual Pretrained Encoders Guanhua Chen Shuming Ma Yun-Nung Chen Li Dong Dongdong Zhang Jianxiong Pan Wenping Wang Furu Wei 73 41 0 18 Apr 2021
On Learning the Geodesic Path for Incremental Learning Christian Simon Piotr Koniusz Mehrtash Harandi CLL 91 123 0 17 Apr 2021
Crossing the Conversational Chasm: A Primer on Natural Language Processing for Multilingual Task-Oriented Dialogue Systems E. Razumovskaia Goran Glavaš Olga Majewska Edoardo Ponti Anna Korhonen Ivan Vulić 192 34 0 17 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes O. Sabo Yanai Elazar Yoav Goldberg Ido Dagan 69 41 0 17 Apr 2021
Learning To Count Everything Viresh Ranjan U. Sharma Thua Nguyen Minh Hoai 97 153 0 16 Apr 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 154 280 0 16 Apr 2021
Editing Factual Knowledge in Language Models Nicola De Cao Wilker Aziz Ivan Titov KELM 161 513 0 16 Apr 2021
MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning Mengzhou Xia Guoqing Zheng Subhabrata Mukherjee Milad Shokouhi Graham Neubig Ahmed Hassan Awadallah 82 32 0 16 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 100 119 0 16 Apr 2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment G. Han Shiyuan Huang Jiawei Ma Yicheng He Shih-Fu Chang ObjD 96 169 0 15 Apr 2021
Reward Optimization for Neural Machine Translation with Learned Metrics Raphael Shu Kang Min Yoo Jung-Woo Ha 72 13 0 15 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 95 7 0 15 Apr 2021
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey Danielle Saunders AI4CE 136 92 0 14 Apr 2021
Learning Normal Dynamics in Videos with Meta Prototype Network Hui Lv Chong Chen Zhen Cui Chunyan Xu Yong Li Jian Yang 119 146 0 14 Apr 2021
Device-Cloud Collaborative Learning for Recommendation Jiangchao Yao Feng Wang Kunyang Jia Bo Han Jingren Zhou Hongxia Yang 106 63 0 14 Apr 2021
Few-shot Image Generation via Cross-domain Correspondence Utkarsh Ojha Yijun Li Jingwan Lu Alexei A. Efros Yong Jae Lee Eli Shechtman Richard Y. Zhang 133 264 0 13 Apr 2021
Contextual HyperNetworks for Novel Feature Adaptation A. Lamb Evgeny S. Saveliev Yingzhen Li Sebastian Tschiatschek Camilla Longden Simon Woodhead José Miguel Hernández-Lobato Richard Turner Pashmina Cameron Cheng Zhang OOD 81 6 0 12 Apr 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples Dian Yu Luheng He Yuan Zhang Xinya Du Panupong Pasupat Qi Li VLM 71 54 0 12 Apr 2021
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection Nadine Chang Zhiding Yu Yu-Xiong Wang Anima Anandkumar Sanja Fidler J. Álvarez 135 39 0 12 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 79 3 0 12 Apr 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach Simiao Zuo Chen Liang Haoming Jiang Xiaodong Liu Pengcheng He Jianfeng Gao Weizhu Chen T. Zhao 129 9 0 11 Apr 2021