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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
Deep Learning for Time Series Anomaly Detection: A Survey Zahra Zamanzadeh Darban G. I. Webb Shirui Pan Charu C. Aggarwal Mahsa Salehi AI4TS 84 162 0 09 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 89 20 0 09 Nov 2022
Clustered Federated Learning based on Nonconvex Pairwise Fusion Xue Yu Ziyi Liu Wu Wang Yifan Sun FedML 88 9 0 08 Nov 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming Parvin Nazari Ahmad Mousavi Davoud Ataee Tarzanagh George Michailidis 108 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 72 78 0 07 Nov 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 108 61 0 07 Nov 2022
Closing the Gap between Client and Global Model Performance in Heterogeneous Federated Learning Hongrui Shi Valentin Radu Po Yang FedML 33 1 0 07 Nov 2022
Reward-Predictive Clustering Lucas Lehnert M. Frank Michael L. Littman OffRL 66 0 0 07 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 72 1 0 06 Nov 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting Parth Kothari Danyang Li Yuejiang Liu Alexandre Alahi TTA AI4TS 113 16 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 68 11 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 120 49 0 06 Nov 2022
Learning to Annotate Part Segmentation with Gradient Matching Yu Yang Xiaotian Cheng Hakan Bilen Xiangyang Ji GAN 96 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 83 4 0 04 Nov 2022
FedGen: Generalizable Federated Learning for Sequential Data Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy N. Venkatasubramanian OOD FedML 66 11 0 03 Nov 2022
Faster Adaptive Momentum-Based Federated Methods for Distributed Composition Optimization Feihu Huang FedML 92 1 0 03 Nov 2022
Meta-PDE: Learning to Solve PDEs Quickly Without a Mesh Tian Qin Alex Beatson Deniz Oktay N. McGreivy Ryan P. Adams AI4CE 78 10 0 03 Nov 2022
Robust Few-shot Learning Without Using any Adversarial Samples Gaurav Kumar Nayak Ruchit Rawal Inder Khatri Anirban Chakraborty AAML 58 2 0 03 Nov 2022
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation Kai-Qi Huang Mingfei Cheng Yang Wang Bochen Wang Ye Xi Feigege Wang Peng Chen 74 2 0 02 Nov 2022
Fast Adaptive Federated Bilevel Optimization Feihu Huang FedML 108 7 0 02 Nov 2022
Spatial Reasoning for Few-Shot Object Detection Geonuk Kim Ho-Choul Jung Seong-Whan Lee ObjD 68 34 0 02 Nov 2022
DynamicLight: Two-Stage Dynamic Traffic Signal Timing Liang Zhang Yutong Zhang Shubin Xie J. Deng Chen Li 51 0 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 92 7 0 02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang VLM 71 19 0 02 Nov 2022
A Meta-GNN approach to personalized seizure detection and classification Abdellah Rahmani Arun Venkitaraman P. Frossard 70 14 0 01 Nov 2022
Data-Efficient Cross-Lingual Transfer with Language-Specific Subnetworks Rochelle Choenni Dan Garrette Ekaterina Shutova 94 2 0 31 Oct 2022
Optimizing Closed-Loop Performance with Data from Similar Systems: A Bayesian Meta-Learning Approach Ankush Chakrabarty 81 10 0 31 Oct 2022
Iterative Teaching by Data Hallucination Zeju Qiu Weiyang Liu Tim Z. Xiao Zhen Liu Umang Bhatt Yucen Luo Adrian Weller Bernhard Schölkopf 121 9 0 31 Oct 2022
Learning New Tasks from a Few Examples with Soft-Label Prototypes Avyav Kumar Singh Ekaterina Shutova H. Yannakoudakis VLM 89 0 0 31 Oct 2022
Few-Shot Classification of Skin Lesions from Dermoscopic Images by Meta-Learning Representative Embeddings Karthik Desingu P. Mirunalini Chandrabose Aravindan 98 1 0 30 Oct 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid Jing Xu Xu Luo Xinglin Pan Wenjie Pei Yanan Li Zenglin Xu 84 23 0 30 Oct 2022
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition Lei Wang Piotr Koniusz 143 29 0 30 Oct 2022
Dataset Distillation via Factorization Songhua Liu Kai Wang Xingyi Yang Jingwen Ye Xinchao Wang DD 217 147 0 30 Oct 2022
Few-shot Image Generation via Adaptation-Aware Kernel Modulation Yunqing Zhao Keshigeyan Chandrasegaran Milad Abdollahzadeh Ngai-Man Cheung 124 46 0 29 Oct 2022
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 121 16 0 28 Oct 2022
RESUS: Warm-Up Cold Users via Meta-Learning Residual User Preferences in CTR Prediction Yanyan Shen Lifan Zhao Weiyu Cheng Zibin Zhang Wenwen Zhou Kangyi Lin 71 5 0 28 Oct 2022
Adapting Neural Models with Sequential Monte Carlo Dropout Pamela Carreno-Medrano Dana Kulic Michael G. Burke 122 4 0 27 Oct 2022
Multi-task Bias-Variance Trade-off Through Functional Constraints J. Cerviño J. Bazerque Miguel Calvo-Fullana Alejandro Ribeiro 28 0 0 27 Oct 2022
Meta-Reinforcement Learning Using Model Parameters G. Hartmann A. Azaria 73 0 0 27 Oct 2022
Meta-Learning Initializations for Interactive Medical Image Registration Zachary Michael Cieman Baum Yipeng Hu D. Barratt 134 15 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 98 4 0 26 Oct 2022
A Case for Business Process-Specific Foundation Models Sadhana Kumaravel Praveen Venkateswaran Vatche Isahagian Vinod Muthusamy AI4CE 68 9 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 97 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 88 4 0 26 Oct 2022
Learning to Augment via Implicit Differentiation for Domain Generalization Ting-Hsiang Wang Da Li Kaiyang Zhou Tao Xiang Yi-Zhe Song 46 0 0 25 Oct 2022
In-context Reinforcement Learning with Algorithm Distillation Michael Laskin Luyu Wang Junhyuk Oh Emilio Parisotto Stephen Spencer ... Ethan A. Brooks Maxime Gazeau Himanshu Sahni Satinder Singh Volodymyr Mnih OffRL 82 133 0 25 Oct 2022
Optimization for Amortized Inverse Problems Tianci Liu Tong Yang Quan Zhang Qi Lei 84 6 0 25 Oct 2022
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning Ziluo Ding Wanpeng Zhang Junpeng Yue Xiangjun Wang Tiejun Huang Zongqing Lu LLMAG AI4CE 32 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 91 3 0 25 Oct 2022
Contrastive Representation Learning for Gaze Estimation Swati Jindal Roberto Manduchi 64 13 0 24 Oct 2022