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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-World Conditional Neural Processes S. E. Ada Emre Ugur BDL 72 2 0 20 Feb 2023
Differentiable Arbitrating in Zero-sum Markov Games Jing Wang Meichen Song Feng Gao Boyi Liu Zhaoran Wang Yi Wu 108 2 0 20 Feb 2023
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMI Juexiao Zhou Longxi Zhou Di Wang Xiaopeng Xu Haoyang Li Yuetan Chu Wenkai Han Xin Gao 85 21 0 20 Feb 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 103 6 0 20 Feb 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints Jiayang Li Jiahao Yu Boyi Liu Zhaoran Wang Y. Nie 94 6 0 20 Feb 2023
CMVAE: Causal Meta VAE for Unsupervised Meta-Learning Guodong Qi Huimin Yu CML SSL 79 5 0 20 Feb 2023
Nystrom Method for Accurate and Scalable Implicit Differentiation Ryuichiro Hataya M. Yamada ODL 83 9 0 20 Feb 2023
DGP-Net: Dense Graph Prototype Network for Few-Shot SAR Target Recognition Xiangyu Zhou Qian-ru Wei Yuhui Zhang 44 0 0 19 Feb 2023
StyleAdv: Meta Style Adversarial Training for Cross-Domain Few-Shot Learning Yu Fu Yu Xie Yanwei Fu Yugang Jiang 78 38 0 18 Feb 2023
DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data Ling Yu AI4TS 104 33 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 91 13 0 16 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 86 7 0 16 Feb 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification I. Ullah Dustin Carrión-Ojeda Sergio Escalera Isabelle M Guyon Mike Huisman F. Mohr Jan N van Rijn Haozhe Sun Joaquin Vanschoren P. Vu VLM 79 35 0 16 Feb 2023
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning? Chengwei Qin Q. Li Ruochen Zhao Shafiq Joty VLM LRM 91 15 0 16 Feb 2023
Graph Adversarial Immunization for Certifiable Robustness Shuchang Tao Huawei Shen Qi Cao Yunfan Wu Liang Hou Xueqi Cheng AAML 122 5 0 16 Feb 2023
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks Zemin Liu Xingtong Yu Yuan Fang Xinming Zhang LLMAG AI4CE 102 147 0 16 Feb 2023
A Meta-Learning Approach to Population-Based Modelling of Structures G. Tsialiamanis N. Dervilis David J. Wagg K. Worden 67 0 0 15 Feb 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 88 7 0 15 Feb 2023
Zero-Shot Anomaly Detection via Batch Normalization Aodong Li Chen Qiu Marius Kloft Padhraic Smyth Maja R. Rudolph Stephan Mandt 145 0 0 15 Feb 2023
Market-Aware Models for Efficient Cross-Market Recommendation Samarth Bhargav Mohammad Aliannejadi Evangelos Kanoulas 67 2 0 14 Feb 2023
Meta-Learning Triplet Network with Adaptive Margins for Few-Shot Named Entity Recognition Chengcheng Han Renyu Zhu Jun Kuang Feng-Xiang Chen Xiang Li Ming Gao Xuezhi Cao Wei Wu 62 6 0 14 Feb 2023
Robust Representation Learning with Self-Distillation for Domain Generalization Ankur Singh Senthilnath Jayavelu ViT OOD 70 2 0 14 Feb 2023
Dataset Distillation with Convexified Implicit Gradients Noel Loo Ramin Hasani Mathias Lechner Daniela Rus DD 84 42 0 13 Feb 2023
Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters Yawen Cui Zitong Yu Rizhao Cai Xuna Wang Alex C. Kot Li Liu CLL 102 8 0 12 Feb 2023
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking Derek Chen Kun Qian Zhou Yu 90 7 0 12 Feb 2023
Transfer Learning for Bayesian Optimization: A Survey Tianyi Bai Yang Li Yu Shen Xinyi Zhang Wentao Zhang Tengjiao Wang BDL 78 31 0 12 Feb 2023
Procedural generation of meta-reinforcement learning tasks Thomas Miconi LRM 31 2 0 11 Feb 2023
Unnoticeable Backdoor Attacks on Graph Neural Networks Enyan Dai Minhua Lin Xiang Zhang Suhang Wang AAML 111 55 0 11 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 129 10 0 11 Feb 2023
Achieving Linear Speedup in Non-IID Federated Bilevel Learning Minhui Huang Dewei Zhang Kaiyi Ji FedML 92 20 0 10 Feb 2023
GCNet: Probing Self-Similarity Learning for Generalized Counting Network Mingjie Wang Yande Li Jun Zhou Graham W. Taylor Minglun Gong 98 14 0 10 Feb 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation Peiyao Xiao Kaiyi Ji FedML 74 11 0 09 Feb 2023
One-shot Visual Imitation via Attributed Waypoints and Demonstration Augmentation Matthew Chang Saurabh Gupta 91 6 0 09 Feb 2023
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization Zhixin Guo Minyxuan Yan Jiexing Qi Jianping Zhou Ziwei He Zhouhan Lin Guanjie Zheng Xinbing Wang LMTD VLM 80 3 0 09 Feb 2023
Unsupervised Learning of Initialization in Deep Neural Networks via Maximum Mean Discrepancy Cheolhyoung Lee Kyunghyun Cho 59 0 0 08 Feb 2023
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation Aishik Konwer Xiaoling Hu Joseph Bae Xuanang Xu Chaoyu Chen Prateek Prasanna 96 17 0 08 Feb 2023
A Systematic Evaluation and Benchmark for Embedding-Aware Generative Models: Features, Models, and Any-shot Scenarios Liangjun Feng Jiancheng Zhao Chunhui Zhao VLM 87 0 0 08 Feb 2023
Gestalt-Guided Image Understanding for Few-Shot Learning Kun Song Yuchen Wu Jiansheng Chen Tianyu Hu Huimin Ma 67 0 0 08 Feb 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity Risheng Liu Yaohua Liu Wei-Ting Yao Shangzhi Zeng Jin Zhang 102 24 0 07 Feb 2023
Population-size-Aware Policy Optimization for Mean-Field Games Pengdeng Li Xinrun Wang Shuxin Li Hau Chan Bo An 62 2 0 07 Feb 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs Y. Duan Zhongfan Jia Qian Li Yi Zhong Kaisheng Ma AAML 95 2 0 07 Feb 2023
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning Sunyi Chi B. Dong Yiming Xu Zhenyu Shi Zheng Du NoLa 102 3 0 06 Feb 2023
Meta-Learning Siamese Network for Few-Shot Text Classification Chengcheng Han Yuh-Shyang Wang Yingnan Fu Xiang Li Minghui Qiu Ming Gao Aoying Zhou VLM 72 5 0 05 Feb 2023
Implicit Geometry and Interaction Embeddings Improve Few-Shot Molecular Property Prediction Christopher Fifty Joseph M. Paggi Ehsan Amid J. Leskovec R. Dror AI4CE 69 0 0 04 Feb 2023
The Construction of Reality in an AI: A Review J. W. Johnston 3DV 69 1 0 03 Feb 2023
Efficient Gradient Approximation Method for Constrained Bilevel Optimization Siyuan Xu Minghui Zhu 78 20 0 03 Feb 2023
Aligning Robot and Human Representations Andreea Bobu Andi Peng Pulkit Agrawal Julie A. Shah Anca D. Dragan 129 11 0 03 Feb 2023
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation Types Jianfei Gao Yangze Zhou Jincheng Zhou Bruno Ribeiro 111 13 0 02 Feb 2023
Adaptive Siamese Tracking with a Compact Latent Network Xingping Dong Jianbing Shen Fatih Porikli Jiebo Luo Ling Shao 92 30 0 02 Feb 2023
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning Yuwei Xia Mengqi Zhang Qiang Liu Shu Wu Xiaoyu Zhang 77 11 0 02 Feb 2023