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
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 31 4 0 24 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 43 27 0 24 Jan 2023
Model Agnostic Sample Reweighting for Out-of-Distribution Learning Xiao Zhou Yong Lin Renjie Pi Weizhong Zhang Renzhe Xu Peng Cui Tong Zhang OODD 44 61 0 24 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 34 25 0 23 Jan 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 42 124 0 19 Jan 2023
Revisiting the Spatial and Temporal Modeling for Few-shot Action Recognition Jiazheng Xing Mengmeng Wang Yong-Jin Liu B. Mu ViT 26 33 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 38 0 0 19 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 39 1 0 18 Jan 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 40 110 0 18 Jan 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 24 2 0 18 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 38 5 0 18 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 60 121 0 17 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 32 5 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 29 1 0 17 Jan 2023
Modeling Uncertain Feature Representation for Domain Generalization Xiaotong Li Zixuan Hu Jun Liu Yixiao Ge Yongxing Dai Ling-Yu Duan OOD 34 3 0 16 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 41 1 0 16 Jan 2023
Meta Generative Attack on Person Reidentification M. I. A V Subramanyam AAML 33 8 0 16 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models Zhiqiu Lin Samuel Yu Zhiyi Kuang Deepak Pathak Deva Ramana VLM 20 102 0 16 Jan 2023
Neuro-symbolic Meta Reinforcement Learning for Trading S. Harini Gautam M. Shroff A. Srinivasan Prayushi Faldu L. Vig AIFin 32 3 0 15 Jan 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 52 73 0 11 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 21 19 0 06 Jan 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers C. Xu Siqian Yang Yabiao Wang Zhanxiong Wang Yanwei Fu Xiangyang Xue 35 16 0 06 Jan 2023
L-HYDRA: Multi-Head Physics-Informed Neural Networks Zongren Zou George Karniadakis AI4CE 18 26 0 05 Jan 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 27 3 0 05 Jan 2023
Task Weighting in Meta-learning with Trajectory Optimisation Cuong C. Nguyen Thanh-Toan Do G. Carneiro 38 3 0 04 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 52 17 0 03 Jan 2023
SIRL: Similarity-based Implicit Representation Learning Andreea Bobu Yi Liu Rohin Shah Daniel S. Brown Anca Dragan SSL DRL 40 17 0 02 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 31 5 0 02 Jan 2023
POMRL: No-Regret Learning-to-Plan with Increasing Horizons Khimya Khetarpal Claire Vernade Brendan O'Donoghue Satinder Singh Tom Zahavy OffRL 33 0 0 30 Dec 2022
An Optimal Algorithm for Strongly Convex Min-min Optimization Alexander Gasnikov D. Kovalev Grigory Malinovsky 32 1 0 29 Dec 2022
Eliminating Meta Optimization Through Self-Referential Meta Learning Louis Kirsch Jürgen Schmidhuber 33 7 0 29 Dec 2022
Wormhole MAML: Meta-Learning in Glued Parameter Space C. Chang Yuan Gao B. Lou 31 0 0 28 Dec 2022
A System-Level View on Out-of-Distribution Data in Robotics Rohan Sinha Apoorva Sharma Somrita Banerjee T. Lew Rachel Luo Spencer M. Richards Yixiao Sun Edward Schmerling Marco Pavone UQCV 50 23 0 28 Dec 2022
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Yong-Jin Liu Weiliang He Lanju Kong Fangzhao Wu Yiheng Jiang Li-zhen Cui FedML 41 60 0 27 Dec 2022
Saliency-Augmented Memory Completion for Continual Learning Guangji Bai Chen Ling Yuyang Gao Liang Zhao CLL 47 4 0 26 Dec 2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum Qiyang Li Yuexiang Zhai Yi Ma Sergey Levine 42 14 0 24 Dec 2022
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 43 3 0 22 Dec 2022
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering Chenlu Zhan Peng Peng Hongsen Wang Tao Chen Hongwei Wang MedIm 30 3 0 21 Dec 2022
Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho Byeonghyeon Lee Seungtae Nam J. Lee J. Ko Eunbyung Park 49 52 0 18 Dec 2022
Cognitive Level- $k$ Meta-Learning for Safe and Pedestrian-Aware Autonomous Driving Haozhe Lei Quanyan Zhu 28 0 0 17 Dec 2022
Semantics-Empowered Communication: A Tutorial-cum-Survey Zhilin Lu Rongpeng Li Kun Lu Xianfu Chen Ekram Hossain Zhifeng Zhao Honggang Zhang 49 19 0 16 Dec 2022
Context Label Learning: Improving Background Class Representations in Semantic Segmentation Zeju Li Konstantinos Kamnitsas Cheng Ouyang Chen Chen Ben Glocker VLM 30 6 0 16 Dec 2022
One-shot skill assessment in high-stakes domains with limited data via meta learning Erim Yanik Steven D. Schwaitzberg Gene Yang Xavier Intes Jack Norfleet Matthew Hackett S. De 48 3 0 16 Dec 2022
MetaPortrait: Identity-Preserving Talking Head Generation with Fast Personalized Adaptation Bo Zhang Chenyang Qi Pan Zhang Bo Zhang Hsiang-Tao Wu Dong Chen Qifeng Chen Yong Wang Fang Wen 34 54 0 15 Dec 2022
Differentiating Nonsmooth Solutions to Parametric Monotone Inclusion Problems Jérôme Bolte Edouard Pauwels Antonio Silveti-Falls 28 13 0 15 Dec 2022
Proposal Distribution Calibration for Few-Shot Object Detection Bohao Li Chang-rui Liu Mengnan Shi Xiaozhong Chen Xiang Ji QiXiang Ye ObjD 31 5 0 15 Dec 2022
Learning useful representations for shifting tasks and distributions Jianyu Zhang Léon Bottou OOD 34 13 0 14 Dec 2022
A Statistical Model for Predicting Generalization in Few-Shot Classification Yassir Bendou Vincent Gripon Bastien Pasdeloup Lukas Mauch Stefan Uhlich Fabien Cardinaux G. B. Hacene Javier Alonso García 26 2 0 13 Dec 2022
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification Zhen Tan Song Wang Kaize Ding Jundong Li Huan Liu 26 26 0 11 Dec 2022
Cap2Aug: Caption guided Image to Image data Augmentation Aniket Roy Anshul B. Shah Ketul Shah Anirban Roy Rama Chellappa DiffM 36 0 0 11 Dec 2022