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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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Meta-learning for downstream aware and agnostic pretraining Hongyin Luo Shuyan Dong Yung-Sung Chuang Shang-Wen Li 67 0 0 06 Jun 2021
Meta-learning with implicit gradients in a few-shot setting for medical image segmentation Rabindra Khadka Debesh Jha Steven Hicks Vajira Thambawita Michael A. Riegler Sharib Ali Pål Halvorsen 82 49 0 06 Jun 2021
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 89 28 0 06 Jun 2021
Feature-based Style Randomization for Domain Generalization Yue Wang Lei Qi Yinghuan Shi Yang Gao OOD 100 52 0 06 Jun 2021
DAMSL: Domain Agnostic Meta Score-based Learning J. Cai B. Cai S. Shen 55 5 0 06 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 82 9 0 05 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 107 9 0 05 Jun 2021
Neural Auto-Curricula Xidong Feng Oliver Slumbers Bo Liu Bo Liu Stephen Marcus McAleer Ying Wen Jun Wang Yaodong Yang 107 3 0 04 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation Huaxiu Yao Linjun Zhang Chelsea Finn 114 56 0 04 Jun 2021
Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering Vincent Sitzmann Semon Rezchikov William T. Freeman J. Tenenbaum F. Durand 3DV 187 295 0 04 Jun 2021
Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning Jannik Kossen Neil Band Clare Lyle Aidan Gomez Tom Rainforth Y. Gal OOD 3DPC 133 142 0 04 Jun 2021
Debiasing a First-order Heuristic for Approximate Bi-level Optimization Valerii Likhosherstov Xingyou Song K. Choromanski Jared Davis Adrian Weller AI4CE 79 5 0 04 Jun 2021
Teaching keyword spotters to spot new keywords with limited examples Abhijeet Awasthi Kevin Kilgour H. Rom 67 18 0 04 Jun 2021
FedBABU: Towards Enhanced Representation for Federated Image Classification Jaehoon Oh Sangmook Kim Se-Young Yun FedML 130 204 0 04 Jun 2021
Robustifying Reinforcement Learning Policies with $\mathcal{L}_1$ Adaptive Control Yikun Cheng Pan Zhao Manan S. Gandhi Yue Liu Evangelos Theodorou N. Hovakimyan OffRL 115 0 0 04 Jun 2021
Fair Machine Learning under Limited Demographically Labeled Data Mustafa Safa Ozdayi Murat Kantarcioglu Rishabh K. Iyer FaML 39 3 0 03 Jun 2021
Lifetime policy reuse and the importance of task capacity David M. Bossens Adam Sobey CLL OffRL 71 3 0 03 Jun 2021
Personalizing Pre-trained Models Mina Khan P. Srivatsa Advait Rane Shriram Chenniappa A. Hazariwala Pattie Maes VLM 93 5 0 02 Jun 2021
One Representation to Rule Them All: Identifying Out-of-Support Examples in Few-shot Learning with Generic Representations Henry Kvinge Scott Howland Nico Courts Lauren A. Phillips John Buckheit ... J. H. Lee Sandeep Tiwari J. Hibler Court D. Corley Nathan Oken Hodas OODD OOD 38 2 0 02 Jun 2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages Edoardo Ponti Rahul Aralikatte Disha Shrivastava Siva Reddy Anders Søgaard 105 16 0 02 Jun 2021
Few-Shot Partial-Label Learning Yunfeng Zhao Guoxian Yu Lei Liu Zhongmin Yan Li-zhen Cui C. Domeniconi 52 4 0 02 Jun 2021
Least-Restrictive Multi-Agent Collision Avoidance via Deep Meta Reinforcement Learning and Optimal Control Salar Asayesh Mo Chen M. Mehrandezh Kamal Gupta 65 3 0 02 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 91 33 0 01 Jun 2021
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning Sharu Theresa Jose Sangwook Park Osvaldo Simeone PER UD UQCV 82 17 0 01 Jun 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation Binghao Liu Yao Ding Jianbin Jiao Xiangyang Ji QiXiang Ye 109 48 0 01 Jun 2021
Unifying Distillation with Personalization in Federated Learning Siddharth Divi Habiba Farrukh Berkay Çelik FedML 141 5 0 31 May 2021
Meta-HAR: Federated Representation Learning for Human Activity Recognition Chenglin Li Di Niu Bei Jiang Xiao Zuo Jianming Yang 65 95 0 31 May 2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi M. Bennis Vaneet Aggarwal FedML 37 4 0 31 May 2021
Multi-Label Few-Shot Learning for Aspect Category Detection Mengting Hu Shiwan Zhao Honglei Guo Chao Xue H. Gao Tiegang Gao Renhong Cheng Zhong Su 75 40 0 29 May 2021
Efficient and robust multi-task learning in the brain with modular latent primitives Christian David Márton Léo Gagnon Guillaume Lajoie Kanaka Rajan 68 6 0 28 May 2021
Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning Nan Ding Xi Chen Tomer Levinboim Sebastian Goodman Radu Soricut 77 33 0 28 May 2021
Weighted Training for Cross-Task Learning Shuxiao Chen K. Crammer Han He Dan Roth Weijie J. Su 87 28 0 28 May 2021
Short-Term Stock Price-Trend Prediction Using Meta-Learning Shin-Hung Chang Cheng-Wen Hsu Hsing-Ying Li Wei-Sheng Zeng Jan-Ming Ho AIFin 54 3 0 28 May 2021
One-shot Learning with Absolute Generalization Hao Su 32 0 0 28 May 2021
Improving Generalization in Meta-RL with Imaginary Tasks from Latent Dynamics Mixture Suyoung Lee Sae-Young Chung OffRL AI4CE 75 16 0 28 May 2021
Optimization Induced Equilibrium Networks Xingyu Xie Qiuhao Wang Zenan Ling Xia Li Yisen Wang Guangcan Liu Zhouchen Lin 75 9 0 27 May 2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification Shijie Yu Feng Zhu Dapeng Chen Rui Zhao Haobin Chen Shixiang Tang Jinguo Zhu Yu Qiao OOD 98 15 0 26 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs Mohammad Malekzadeh Anastasia Borovykh Deniz Gündüz MIACV 89 42 0 25 May 2021
Learning to Bridge Metric Spaces: Few-shot Joint Learning of Intent Detection and Slot Filling Yutai Hou Y. Lai Cheng Chen Wanxiang Che Ting Liu 69 14 0 25 May 2021
Learning Generative Prior with Latent Space Sparsity Constraints Vinayak Killedar P. Pokala C. Seelamantula 52 3 0 25 May 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images Wentao Chen Chenyang Si Wei Wang Liang Wang Zilei Wang Tieniu Tan SSL 64 10 0 25 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 129 13 0 25 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 182 440 0 24 May 2021
A Fourier-based Framework for Domain Generalization Qinwei Xu Ruipeng Zhang Ya Zhang Yanfeng Wang Qi Tian OOD 151 443 0 24 May 2021
Fast Federated Learning by Balancing Communication Trade-Offs Milad Khademi Nori Sangseok Yun Il-Min Kim FedML 87 57 0 23 May 2021
Statistical Testing under Distributional Shifts Nikolaj Thams Sorawit Saengkyongam Niklas Pfister J. Peters OOD 151 10 0 22 May 2021
Semi-Supervised Few-Shot Classification with Deep Invertible Hybrid Models Yusuke Ohtsubo Tetsu Matsukawa Einoshin Suzuki BDL DRL 53 1 0 22 May 2021
Compositional Fine-Grained Low-Shot Learning Dat T. Huynh Ehsan Elhamifar 83 4 0 21 May 2021
Learning from My Friends: Few-Shot Personalized Conversation Systems via Social Networks Zhiliang Tian Wei Bi Zi-qiang Zhang Dongkyu Lee Yiping Song N. Zhang 74 11 0 21 May 2021
Aligning Visual Prototypes with BERT Embeddings for Few-Shot Learning Kun Yan Zied Bouraoui Ping Wang Shoaib Jameel Steven Schockaert 59 24 0 21 May 2021