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
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 50 9 0 14 Nov 2022
Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning Wenqi Ren Qiyu Sun Chaoqiang Zhao Yang Tang 35 3 0 14 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval Deunsol Jung Dahyun Kang Suha Kwak Minsu Cho CLL 27 8 0 14 Nov 2022
Alternating Implicit Projected SGD and Its Efficient Variants for Equality-constrained Bilevel Optimization Quan-Wu Xiao Han Shen W. Yin Tianyi Chen 23 8 0 14 Nov 2022
Out-of-Dynamics Imitation Learning from Multimodal Demonstrations Yiwen Qiu Jialong Wu Zhangjie Cao Mingsheng Long 31 3 0 13 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer Quang-Huy Nguyen Cuong Q. Nguyen Dung D. Le Hieu H. Pham ViT 31 12 0 13 Nov 2022
Few-Shot Learning for Biometric Verification S. Ahmed Umaid M. Zaffar M. Aslam M. I. Malik 26 0 0 12 Nov 2022
Hardness-guided domain adaptation to recognise biomedical named entities under low-resource scenarios Ngoc Dang Nguyen Lan Du Wray Buntine Changyou Chen Richard Beare 33 7 0 11 Nov 2022
Few-shot Classification with Hypersphere Modeling of Prototypes Ning Ding Yulin Chen Yuchen Zhang Xiaobin Wang Haitao Zheng Zhiyuan Liu Pengjun Xie 53 8 0 10 Nov 2022
Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind Mo Yu Qiujing Wang Shunchi Zhang Yisi Sang Kangsheng Pu ... Han Wang Liyan Xu Jing Li Yue Yu Jie Zhou 41 19 0 09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 47 7 0 08 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 45 4 0 08 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey Harrison Kurunathan Hailong Huang Kai Li Wei Ni Ekram Hossain 30 70 0 07 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 27 0 0 07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 40 1 0 06 Nov 2022
Enabling Deep Learning-based Physical-layer Secret Key Generation for FDD-OFDM Systems in Multi-Environments Xinwei Zhang Guyue Li Junqing Zhang Linning Peng A. Hu Xianbin Wang 18 9 0 06 Nov 2022
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning Yu Meng Martin Michalski Jiaxin Huang Yu Zhang Tarek Abdelzaher Jiawei Han VLM 64 47 0 06 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching Yu Yang Xiaotian Cheng Hakan Bilen Xiangyang Ji GAN 37 7 0 06 Nov 2022
Learning to Learn Domain-invariant Parameters for Domain Generalization Feng Hou Yao Zhang Yang Liu Jin Yuan Cheng Zhong Yang Zhang Zhongchao Shi Jianping Fan Zhiqiang He OOD 21 3 0 04 Nov 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh Tian Qin Alex Beatson Deniz Oktay N. McGreivy Ryan P. Adams AI4CE 32 10 0 03 Nov 2022
Fast Adaptive Federated Bilevel Optimization Feihu Huang FedML 32 7 0 02 Nov 2022
Spatial Reasoning for Few-Shot Object Detection Geonuk Kim Ho-Choul Jung Seong-Whan Lee ObjD 35 34 0 02 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... Jing Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 53 6 0 02 Nov 2022
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks Rochelle Choenni Dan Garrette Ekaterina Shutova 36 2 0 31 Oct 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 28 9 0 31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 46 0 0 31 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 54 27 0 30 Oct 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 140 142 0 30 Oct 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 49 14 0 28 Oct 2022
Meta-Reinforcement Learning Using Model Parameters G. Hartmann A. Azaria 32 0 0 27 Oct 2022
Knowledge-Guided Exploration in Deep Reinforcement Learning Sahisnu Mazumder Bing-Quan Liu Shuai Wang Yingxuan Zhu Xiaotian Yin Lifeng Liu Jian Li 50 4 0 26 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length Inference Ségolène Martin Malik Boudiaf Émilie Chouzenoux J. Pesquet Ismail Ben Ayed 28 8 0 26 Oct 2022
Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking Julius Ott Lorenzo Servadei Gianfranco Mauro Thomas Stadelmayer Avik Santra Robert Wille OOD UQCV 41 3 0 26 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 43 5 0 25 Oct 2022
A Comparative Attention Framework for Better Few-Shot Object Detection on Aerial Images Pierre Le Jeune Anissa Zergaïnoh-Mokraoui ObjD 29 3 0 25 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 42 4 0 24 Oct 2022
Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models Naoya Takeishi Alexandros Kalousis AAML 42 3 0 24 Oct 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders Ömer Sümer Fabio Hellmann Alexander Hustinx Tzung-Chien Hsieh Elisabeth André P. Krawitz CVBM 24 7 0 23 Oct 2022
MetaEMS: A Meta Reinforcement Learning-based Control Framework for Building Energy Management System Huiliang Zhang Di Wu Benoit Boulet 41 6 0 23 Oct 2022
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 58 31 0 22 Oct 2022
Deep domain adaptation for polyphonic melody extraction Kavya Ranjan Saxena Vipul Arora 37 0 0 22 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 33 0 0 22 Oct 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 34 8 0 22 Oct 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation Haoyan Guan Michael W. Spratling 31 3 0 21 Oct 2022
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation Haoyan Guan Michael W. Spratling 32 0 0 21 Oct 2022
$m^4Adapter$ : Multilingual Multi-Domain Adaptation for Machine Translation with a Meta-Adapter Wen Lai Alexandra Chronopoulou Alexander Fraser 29 3 0 21 Oct 2022
Boosting Natural Language Generation from Instructions with Meta-Learning Budhaditya Deb Guoqing Zheng Ahmed Hassan Awadallah 29 13 0 20 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration Haotian Fu Shangqun Yu Michael Littman George Konidaris BDL OffRL 26 12 0 20 Oct 2022
Learning Sample Reweighting for Accuracy and Adversarial Robustness Chester Holtz Tsui-Wei Weng Gal Mishne OOD 35 4 0 20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning Jacob Beck Matthew Jackson Risto Vuorio Shimon Whiteson OffRL 31 31 0 20 Oct 2022