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
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 45 17 0 22 Aug 2022
Meta-Causal Feature Learning for Out-of-Distribution Generalization Yuqing Wang Xiangxian Li Zhuang Qi Jingyu Li Xuelong Li Xiangxu Meng Lei Meng OOD OODD BDL 44 25 0 22 Aug 2022
Recent Advances in Text-to-SQL: A Survey of What We Have and What We Expect Naihao Deng Yulong Chen Yue Zhang 37 46 0 22 Aug 2022
Meta-Learning Online Control for Linear Dynamical Systems Deepan Muthirayan D. Kalathil Pramod P. Khargonekar 35 6 0 18 Aug 2022
Prompt Vision Transformer for Domain Generalization Zangwei Zheng Xiangyu Yue Kai Wang Yang You VLM VPVLM MDE 34 51 0 18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 51 18 0 17 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 42 1 0 17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 48 4 0 17 Aug 2022
Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects Guanglin Zhou Lina Yao Xiwei Xu Chen Wang Liming Zhu OOD CML BDL 30 2 0 13 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Daniel Cremers Stefan Roth OOD TTA VLM 54 6 0 10 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 27 3 0 07 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 36 2 0 05 Aug 2022
Improving Task Generalization via Unified Schema Prompt Wanjun Zhong Yifan Gao Ning Ding Zhiyuan Liu Ming Zhou Jiahai Wang Jian Yin Nan Duan 35 8 0 05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 26 61 0 04 Aug 2022
Edge-centric Optimization of Multi-modal ML-driven eHealth Applications A. Kanduri Sina Shahhosseini Emad Kasaeyan Naeini Hamid Alikhani P. Liljeberg N. Dutt Amir M. Rahmani 38 7 0 04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 40 3 0 03 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu OffRL 38 25 0 03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 57 8 0 02 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 39 10 0 02 Aug 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection Seungchan Kim Chen Wang Bowen Li Sebastian Scherer 29 4 0 01 Aug 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes Shivam Garg Dimitris Tsipras Percy Liang Gregory Valiant 49 459 0 01 Aug 2022
Visual Interpretable and Explainable Deep Learning Models for Brain Tumor MRI and COVID-19 Chest X-ray Images Yusuf Brima M. Atemkeng FAtt MedIm 52 0 0 01 Aug 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis Tao Li Haozhe Lei Quanyan Zhu AAML 39 7 0 29 Jul 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 45 3 0 29 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 25 16 0 28 Jul 2022
Look at Adjacent Frames: Video Anomaly Detection without Offline Training Yuqi Ouyang Guodong Shen Victor Sanchez OffRL 36 4 0 27 Jul 2022
Meta-Interpolation: Time-Arbitrary Frame Interpolation via Dual Meta-Learning Shixing Yu Yi Ma Wenhan Yang Wei Xiang Jiaying Liu 3DH 39 0 0 27 Jul 2022
PointFix: Learning to Fix Domain Bias for Robust Online Stereo Adaptation Kwonyoung Kim Jungin Park Jiyoung Lee Dongbo Min Kwanghoon Sohn 3DPC 33 4 0 27 Jul 2022
Federated Graph Machine Learning: A Survey of Concepts, Techniques, and Applications Xingbo Fu Binchi Zhang Yushun Dong Chen Chen Jundong Li FedML OOD AI4CE 49 35 0 24 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 102 36 0 24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 34 13 0 24 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation Li Xu Haoxuan Qu Jason Kuen Jiuxiang Gu Jun Liu CML 45 27 0 23 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 39 9 0 21 Jul 2022
Semi-Supervised Learning of Optical Flow by Flow Supervisor Woobin Im Sebin Lee Sung-eui Yoon 32 11 0 21 Jul 2022
Domain Generalization for Activity Recognition via Adaptive Feature Fusion Xin Qin Jindong Wang Yiqiang Chen Wang Lu Xinlong Jiang OOD 42 36 0 21 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 35 11 0 20 Jul 2022
Efficient Meta-Tuning for Content-aware Neural Video Delivery Xiaoqi Li Jiaming Liu Shizun Wang Cheng Lyu Ming Lu Yurong Chen Anbang Yao Yandong Guo Shanghang Zhang 33 12 0 20 Jul 2022
ERA: Expert Retrieval and Assembly for Early Action Prediction Lin Geng Foo Tianjiao Li Hossein Rahmani Qiuhong Ke Jing Liu 26 15 0 20 Jul 2022
Theseus: A Library for Differentiable Nonlinear Optimization Luis Pineda Taosha Fan Maurizio Monge S. Venkataraman Paloma Sodhi ... Austin S. Wang Stuart Anderson Jing Dong Brandon Amos Mustafa Mukadam 39 76 0 19 Jul 2022
Data-Centric Epidemic Forecasting: A Survey Alexander Rodríguez Harshavardhan Kamarthi Pulak Agarwal Javen Ho Mira Patel Suchet Sapre B. Prakash OOD 38 19 0 19 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 31 28 0 18 Jul 2022
Rank-based Decomposable Losses in Machine Learning: A Survey Shu Hu Xin Wang Siwei Lyu 40 32 0 18 Jul 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 25 7 0 18 Jul 2022
Minimum Description Length Control Theodore H. Moskovitz Ta-Chu Kao M. Sahani M. Botvinick 31 28 0 17 Jul 2022
Heuristic-free Optimization of Force-Controlled Robot Search Strategies in Stochastic Environments Bastian Alt Darko Katic Rainer Jäkel Michael Beetz 27 6 0 15 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 38 142 0 15 Jul 2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation Mengping Yang Zhe Wang Ziqiu Chi Wenyi Feng 32 49 0 15 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 47 3 0 14 Jul 2022
Continual Meta-Reinforcement Learning for UAV-Aided Vehicular Wireless Networks Riccardo Marini Sangwoo Park Osvaldo Simeone C. Buratti 64 7 0 13 Jul 2022
Does GNN Pretraining Help Molecular Representation? Ruoxi Sun Hanjun Dai Adams Wei Yu SSL AI4CE GNN 6 71 0 13 Jul 2022