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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
Towards Informed Design and Validation Assistance in Computer Games Using Imitation Learning Alessandro Sestini Joakim Bergdahl Konrad Tollera Andrew D. Bagdanov Linus Gisslén 68 9 0 15 Aug 2022
Visual Localization via Few-Shot Scene Region Classification Siyan Dong Shuzhe Wang Yixin Zhuang Arno Solin Marc Pollefeys Bin Chen 56 35 0 14 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 62 2 0 13 Aug 2022
Bidirectional Feature Globalization for Few-shot Semantic Segmentation of 3D Point Cloud Scenes Yongqiang Mao Zonghao Guo Xiaonan Lu Zhiqiang Yuan Haowen Guo 3DPC 133 32 0 13 Aug 2022
GEDI: A Graph-based End-to-end Data Imputation Framework Kaizhong Chen Xiuqin Liang Zheng Ma Zhibin Zhang 33 5 0 13 Aug 2022
Memorizing Complementation Network for Few-Shot Class-Incremental Learning Zhong Ji Zhi Hou Xiyao Liu Yanwei Pang Xuelong Li CLL 76 50 0 11 Aug 2022
Semantic Self-adaptation: Enhancing Generalization with a Single Sample Sherwin Bahmani Oliver Hahn Eduard Zamfir Nikita Araslanov Zorah Lähner Stefan Roth OOD TTA VLM 114 7 0 10 Aug 2022
IDNP: Interest Dynamics Modeling using Generative Neural Processes for Sequential Recommendation Jing Du Zesheng Ye Lina Yao Bin Guo Zhiwen Yu AI4TS 73 13 0 09 Aug 2022
Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing Guangcong Wang Guangrun Wang Wenqi Liang Jianhuang Lai 38 4 0 08 Aug 2022
Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer Arjun Ashok K. J. Joseph V. Balasubramanian CLL 61 29 0 07 Aug 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 58 3 0 07 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 82 3 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 84 8 0 05 Aug 2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey Xiaoyu Shen Svitlana Vakulenko Marco Del Tredici Gianni Barlacchi Bill Byrne Adria de Gispert RALM VLM 75 20 0 05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 106 68 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 93 7 0 04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 125 3 0 03 Aug 2022
Sequence Model Imitation Learning with Unobserved Contexts Gokul Swamy Sanjiban Choudhury J. Andrew Bagnell Zhiwei Steven Wu OffRL 94 27 0 03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 92 9 0 02 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Alycia Lee P. Yu Yu-Xiong Wang Oluwasanmi Koyejo 85 10 0 02 Aug 2022
Detecting Individual Decision-Making Style: Exploring Behavioral Stylometry in Chess Reid McIlroy-Young Russell Wang Siddhartha Sen Jon M. Kleinberg Ashton Anderson 50 22 0 02 Aug 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection Seungchan Kim Chen Wang Bowen Li Sebastian Scherer 60 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 160 514 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 76 1 0 01 Aug 2022
Sampling Attacks on Meta Reinforcement Learning: A Minimax Formulation and Complexity Analysis Tao Li Haozhe Lei Quanyan Zhu AAML 98 7 0 29 Jul 2022
Meta Reinforcement Learning with Successor Feature Based Context Xu Han Feng Wu OffRL LRM 81 3 0 29 Jul 2022
Conservative Generator, Progressive Discriminator: Coordination of Adversaries in Few-shot Incremental Image Synthesis Chaerin Kong Nojun Kwak CLL 96 0 0 29 Jul 2022
Meta-Learning based Degradation Representation for Blind Super-Resolution Bin Xia Yapeng Tian Yulun Zhang Yucheng Hang Wenming Yang Q. Liao SupR 83 20 0 28 Jul 2022
Imbalanced Semi-supervised Learning with Bias Adaptive Classifier Renzhen Wang Xixi Jia Quanziang Wang Yichen Wu Deyu Meng 64 16 0 28 Jul 2022
Towards Sleep Scoring Generalization Through Self-Supervised Meta-Learning Abdelhak Lemkhenter Paolo Favaro 103 8 0 27 Jul 2022
Look at Adjacent Frames: Video Anomaly Detection without Offline Training Yuqi Ouyang Guodong Shen Victor Sanchez OffRL 95 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 137 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 77 4 0 27 Jul 2022
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation Guangchen Shi Yirui Wu Jing Liu Shaohua Wan Wenhai Wang Tong Lu CLL 115 35 0 26 Jul 2022
Contrastive Knowledge-Augmented Meta-Learning for Few-Shot Classification Rakshith Subramanyam Mark Heimann Jayram S. Thathachar Rushil Anirudh Jayaraman J. Thiagarajan CLL 40 2 0 25 Jul 2022
Adaptive Asynchronous Control Using Meta-learned Neural Ordinary Differential Equations Achkan Salehi Steffen Rühl Stéphane Doncieux AI4CE 90 2 0 25 Jul 2022
Few-Shot Object Detection by Knowledge Distillation Using Bag-of-Visual-Words Representations Wenjie Pei Shuang Wu Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM 49 11 0 25 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 117 38 0 24 Jul 2022
From Multi-label Learning to Cross-Domain Transfer: A Model-Agnostic Approach Jesse Read OOD 70 3 0 24 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey Can Chen Xiangshan Chen Chen Ma Zixuan Liu Xue Liu 196 39 0 24 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 74 14 0 24 Jul 2022
Self-Support Few-Shot Semantic Segmentation Qi Fan Wenjie Pei Yu-Wing Tai Chi-Keung Tang 99 147 0 23 Jul 2022
Meta Spatio-Temporal Debiasing for Video Scene Graph Generation Li Xu Haoxuan Qu Jason Kuen Jiuxiang Gu Jun Liu CML 93 27 0 23 Jul 2022
Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection Shuang Wu Wenjie Pei Dianwen Mei Fanglin Chen Jiandong Tian Guangming Lu VLM ObjD 75 31 0 22 Jul 2022
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark Kibok Lee Hao Yang Satyaki Chakraborty Zhaowei Cai Gurumurthy Swaminathan Avinash Ravichandran Onkar Dabeer 111 22 0 22 Jul 2022
Meta-Registration: Learning Test-Time Optimization for Single-Pair Image Registration Zachary Michael Cieman Baum Yipeng Hu D. Barratt 127 2 0 22 Jul 2022
Few-shot Image Generation Using Discrete Content Representation Y. Hong Li Niu Jianfu Zhang Liqing Zhang DiffM 84 11 0 22 Jul 2022
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments Khoi Duc Minh Nguyen Quoc-Huy Tran Khoi Nguyen Binh-Son Hua Rang Nguyen 116 29 0 21 Jul 2022
Federated Learning on Adaptively Weighted Nodes by Bilevel Optimization Yan Huang Qihang Lin N. Street Stephen Seung-Yeob Baek FedML 75 9 0 21 Jul 2022
MetaComp: Learning to Adapt for Online Depth Completion Y. Chen Shanshan Zhao Wei Ji Biwei Huang Liping Xie OOD CLL VLM 95 1 0 21 Jul 2022