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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 ordinal weighting net for improving lung nodule classification Yiming Lei Hongming Shan Junping Zhang 75 6 0 31 Jan 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric Xing Ameet Talwalkar FedML 70 25 0 30 Jan 2021
Meta-Reinforcement Learning for Reliable Communication in THz/VLC Wireless VR Networks Yining Wang Mingzhe Chen Zhaohui Yang Walid Saad T. Luo Shuguang Cui H. Vincent Poor OffRL 77 32 0 29 Jan 2021
Few-Shot Learning for Road Object Detection Anay Majee Kshitij Agrawal A. Subramanian 117 21 0 29 Jan 2021
Few-Shot Domain Adaptation for Grammatical Error Correction via Meta-Learning Shengsheng Zhang Yaping Huang Yun-Nung Chen Liner Yang Chencheng Wang Erhong Yang VLM 92 2 0 29 Jan 2021
Self-Attention Meta-Learner for Continual Learning Ghada Sokar Decebal Constantin Mocanu Mykola Pechenizkiy CLL 53 11 0 28 Jan 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 50 2 0 28 Jan 2021
CORL: Compositional Representation Learning for Few-Shot Classification Ju He Adam Kortylewski Alan Yuille OCL 64 10 0 28 Jan 2021
ProtoDA: Efficient Transfer Learning for Few-Shot Intent Classification Manoj Kumar Varun Kumar Hadrien Glaude Cyprien delichy Aman Alok Rahul Gupta VLM 82 18 0 28 Jan 2021
Meta-learning on Spectral Images of Electroencephalogram of Schizophenics Maritza Tynes Mahboobeh Parsapoor 30 0 0 27 Jan 2021
Efficient Graph Deep Learning in TensorFlow with tf_geometric Jun Hu Shengsheng Qian Quan Fang Youze Wang Quan Zhao Huaiwen Zhang Changsheng Xu GNN 92 53 0 27 Jan 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 152 229 0 27 Jan 2021
Meta Adversarial Training against Universal Patches J. H. Metzen Nicole Finnie Robin Hutmacher OOD AAML 116 21 0 27 Jan 2021
Combat Data Shift in Few-shot Learning with Knowledge Graph Yongchun Zhu Fuzhen Zhuang Xiangliang Zhang Zhiyuan Qi Zhiping Shi Juan Cao Qing He OOD 79 4 0 27 Jan 2021
Multilingual and cross-lingual document classification: A meta-learning approach Niels van der Heijden H. Yannakoudakis Pushkar Mishra Ekaterina Shutova VLM 70 24 0 27 Jan 2021
Edge-Labeling based Directed Gated Graph Network for Few-shot Learning Peixiao Zheng Xin Guo Lin Qi 39 1 0 27 Jan 2021
Similarity of Classification Tasks Cuong C. Nguyen Thanh-Toan Do G. Carneiro 79 7 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 100 12 0 26 Jan 2021
Few-Shot Semantic Parsing for New Predicates Zhuang Li Zhuang Li Shuo Huang Gholamreza Haffari NAI 81 9 0 26 Jan 2021
Online Continual Learning in Image Classification: An Empirical Survey Zheda Mai Ruiwen Li Jihwan Jeong David Quispe Hyunwoo J. Kim Scott Sanner VLM CLL 142 422 0 25 Jan 2021
Meta-Learning for Effective Multi-task and Multilingual Modelling Ishan Tarunesh Sushil Khyalia Vishwajeet Kumar Ganesh Ramakrishnan Preethi Jyothi 81 16 0 25 Jan 2021
Computational Workflows for Designing Input Devices Yi-Chi Liao 13 3 0 25 Jan 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Yurong Guo Zhanyu Ma Xiaoxu Li Yuan Dong 60 4 0 25 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 39 5 0 24 Jan 2021
Meta-Regularization by Enforcing Mutual-Exclusiveness Edwin Pan P. Rajak Shubham Shrivastava VLM 29 1 0 24 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 104 37 0 23 Jan 2021
Advances and Challenges in Conversational Recommender Systems: A Survey Chongming Gao Wenqiang Lei Xiangnan He Maarten de Rijke Tat-Seng Chua 255 284 0 23 Jan 2021
Stress Testing of Meta-learning Approaches for Few-shot Learning Aroof Aimen Sahil Sidheekh Vineet Madan N. C. Krishnan 32 7 0 21 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo 101 42 0 21 Jan 2021
An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning Sharu Theresa Jose Osvaldo Simeone 86 11 0 21 Jan 2021
Few-shot Action Recognition with Prototype-centered Attentive Learning Xiatian Zhu Antoine Toisoul Juan-Manuel Prez-Ra Li Zhang Brais Martínez Tao Xiang 97 53 0 20 Jan 2021
Cross-domain few-shot learning with unlabelled data Fupin Yao 63 10 0 19 Jan 2021
Few-Shot Bayesian Optimization with Deep Kernel Surrogates Martin Wistuba Josif Grabocka BDL 118 70 0 19 Jan 2021
Meta-Reinforcement Learning for Adaptive Motor Control in Changing Robot Dynamics and Environments Timothée Anne Jack Wilkinson Zhibin Li 80 1 0 19 Jan 2021
Using Shape to Categorize: Low-Shot Learning with an Explicit Shape Bias Stefan Stojanov Anh Thai James M. Rehg 3DPC 71 45 0 18 Jan 2021
Machine learning with limited data Fupin Yao VLM 62 8 0 18 Jan 2021
Magnification Generalization for Histopathology Image Embedding Milad Sikaroudi Benyamin Ghojogh Fakhri Karray Mark Crowley H. R. Tizhoosh MedIm 49 5 0 18 Jan 2021
Few Shot Dialogue State Tracking using Meta-learning Saket Dingliwal Bill Gao Sanchit Agarwal Chien-Wei Lin Tagyoung Chung Dilek Z. Hakkani-Tür OffRL 135 21 0 17 Jan 2021
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling A.B. Siddique Fuad Jamour Vagelis Hristidis 75 26 0 16 Jan 2021
Free Lunch for Few-shot Learning: Distribution Calibration Shuo Yang Lu Liu Min Xu OODD 313 331 0 16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 339 525 0 15 Jan 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 99 151 0 15 Jan 2021
Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning Renke Huang Yujiao Chen Tianzhixi Yin Qiuhua Huang Jie Tan Wenhao Yu Xinya Li Ang Li Yan Du AI4CE 55 33 0 13 Jan 2021
Contrastive Behavioral Similarity Embeddings for Generalization in Reinforcement Learning Rishabh Agarwal Marlos C. Machado Pablo Samuel Castro Marc G. Bellemare OffRL 141 168 0 13 Jan 2021
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition Mengting Chen Xinggang Wang Heng Luo Yifeng Geng Wenyu Liu ObjD 183 10 0 13 Jan 2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation Matt Peng Banghua Zhu Jiantao Jiao 85 9 0 12 Jan 2021
Fast Facial Landmark Detection and Applications: A Survey K. Khabarlak L. Koriashkina CVBM 3DH 107 61 0 12 Jan 2021
Model Generalization on COVID-19 Fake News Detection Yejin Bang Etsuko Ishii Samuel Cahyawijaya Ziwei Ji Pascale Fung 121 37 0 11 Jan 2021
Adaptive Prototypical Networks with Label Words and Joint Representation Learning for Few-Shot Relation Classification Yan Xiao Yaochu Jin K. Hao 102 46 0 10 Jan 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 139 74 0 08 Jan 2021