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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
Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow Sen Lin Yitao Liang Junshan Zhang OOD 100 1 0 02 Feb 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning Jihoon Tack Subin Kim Sihyun Yu Jaeho Lee Jinwoo Shin Jonathan Richard Schwarz 89 9 0 01 Feb 2023
Learning Functional Transduction Mathieu Chalvidal Thomas Serre Rufin VanRullen AI4CE 108 2 0 01 Feb 2023
Learning in POMDPs is Sample-Efficient with Hindsight Observability Jonathan Lee Alekh Agarwal Christoph Dann Tong Zhang 65 21 0 31 Jan 2023
A Comprehensive Survey of Continual Learning: Theory, Method and Application Liyuan Wang Xingxing Zhang Hang Su Jun Zhu KELM CLL 238 715 0 31 Jan 2023
Neural Operator: Is data all you need to model the world? An insight into the impact of Physics Informed Machine Learning Hrishikesh Viswanath Md Ashiqur Rahman Abhijeet Vyas Andrey Shor Beatriz Medeiros Stephanie Hernandez S. Prameela Aniket Bera PINN AI4CE 105 6 0 30 Jan 2023
Online Loss Function Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang 95 5 0 30 Jan 2023
Contrastive Meta-Learning for Partially Observable Few-Shot Learning Adam Jelley Amos Storkey Antreas Antoniou Sam Devlin 78 6 0 30 Jan 2023
Robust Meta Learning for Image based tasks Peng-Tao Jiang Xin Ke Zifeng Wang Chunxi Li OOD UQCV VLM 225 0 0 30 Jan 2023
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning Junguang Jiang Baixu Chen Junwei Pan Ximei Wang Liu Dapeng Jie Jiang Mingsheng Long MoMe 93 23 0 30 Jan 2023
Zero-shot causal learning H. Nilforoshan Michael Moor Yusuf Roohani Yining Chen Anja vSurina Michihiro Yasunaga Sara Oblak J. Leskovec CML BDL OffRL 91 14 0 28 Jan 2023
A Closer Look at Few-shot Classification Again Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 92 52 0 28 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 80 14 0 28 Jan 2023
Unbiased and Efficient Self-Supervised Incremental Contrastive Learning Cheng Ji Jianxin Li Hao Peng Hongzhi Zhang Xingcheng Fu Qingyun Sun Phillip S. Yu SSL CLL 59 5 0 28 Jan 2023
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics Lu Zhang Huaiqian You T. Gao Mo Yu Chung-Hao Lee Yue Yu AI4CE 82 9 0 28 Jan 2023
Meta Temporal Point Processes Wonho Bae Mohamed Osama Ahmed Frederick Tung Gabriel L. Oliveira AI4TS 58 18 0 27 Jan 2023
Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation Daesol Cho Seungjae Lee H. J. Kim 126 15 0 27 Jan 2023
Meta-Learning Mini-Batch Risk Functionals Jacob Tyo Zachary Chase Lipton 56 0 0 27 Jan 2023
Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks Haiyan Zhao Tianyi Zhou Guodong Long Jing Jiang Chengqi Zhang 76 0 0 27 Jan 2023
Projected Subnetworks Scale Adaptation Siddhartha Datta N. Shadbolt VLM CLL 90 0 0 27 Jan 2023
Train Hard, Fight Easy: Robust Meta Reinforcement Learning Ido Greenberg Shie Mannor Gal Chechik E. Meirom OffRL OOD 91 9 0 26 Jan 2023
Invariant Meta Learning for Out-of-Distribution Generalization Peng-Tao Jiang Ke Xin Zifeng Wang Chunxi Li OOD OODD 52 2 0 26 Jan 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning Athul Shibu Abhishek Kumar Heechul Jung Dong-Gyu Lee 78 1 0 26 Jan 2023
Explore the Power of Dropout on Few-shot Learning Shaobo Lin Xingyu Zeng Rui Zhao 95 0 0 26 Jan 2023
PushWorld: A benchmark for manipulation planning with tools and movable obstacles Ken Kansky Skanda Vaidyanath Scott Swingle Xinghua Lou Miguel Lazaro-Gredilla Dileep George 78 4 0 24 Jan 2023
Progressive Meta-Pooling Learning for Lightweight Image Classification Model Peijie Dong Xin-Yi Niu Zhiliang Tian Lujun Li Xiaodong Wang Zimian Wei H. Pan Dongsheng Li VLM 67 7 0 24 Jan 2023
Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning Yawen Cui Wanxia Deng Haoyu Chen Li Liu CLL 63 25 0 24 Jan 2023
Probabilistic Bilevel Coreset Selection Xiao Zhou Renjie Pi Weizhong Zhang Yong Lin Tong Zhang NoLa 136 32 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 100 61 0 24 Jan 2023
Transformer-Patcher: One Mistake worth One Neuron Zeyu Huang Songlin Yang Xiaofeng Zhang Jie Zhou Wenge Rong Zhang Xiong KELM 102 179 0 24 Jan 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations Jonathan Richard Schwarz Jihoon Tack Yee Whye Teh Jaeho Lee Jinwoo Shin 86 26 0 23 Jan 2023
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding Juncheng Li Siliang Tang Linchao Zhu Wenqiao Zhang Yi Yang Tat-Seng Chua Fei Wu Yueting Zhuang BDL 88 17 0 22 Jan 2023
The configurable tree graph (CT-graph): measurable problems in partially observable and distal reward environments for lifelong reinforcement learning Andrea Soltoggio Eseoghene Ben-Iwhiwhu Christos Peridis Pawel Ladosz Jeffery Dick Praveen K. Pilly Soheil Kolouri OffRL 83 3 0 21 Jan 2023
Versatile Neural Processes for Learning Implicit Neural Representations Zongyu Guo Cuiling Lan Zhizheng Zhang Yan Lu Zhibo Chen 81 13 0 21 Jan 2023
ManyDG: Many-domain Generalization for Healthcare Applications Chaoqi Yang M. P. M. Brandon Westover Jimeng Sun OOD CML 58 22 0 21 Jan 2023
Neural Architecture Search: Insights from 1000 Papers Colin White Mahmoud Safari R. Sukthanker Binxin Ru T. Elsken Arber Zela Debadeepta Dey Frank Hutter 3DV AI4CE 129 142 0 20 Jan 2023
FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network Huafeng Liu Pai Peng Tao Chen Qiong Wang Yazhou Yao Xiansheng Hua 76 53 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 80 36 0 19 Jan 2023
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Shuzhen Rao Jun Huang Zengming Tang 93 2 0 19 Jan 2023
Concept Discovery for Fast Adapatation Shengyu Feng Hanghang Tong OffRL 85 0 0 19 Jan 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment Qiuhao Zeng Wei Wang Fan Zhou Charles Ling Boyu Wang OOD ViT 71 18 0 19 Jan 2023
Federated Automatic Differentiation Keith Rush Zachary B. Charles Zachary Garrett FedML 89 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 139 119 0 18 Jan 2023
Robust Knowledge Adaptation for Federated Unsupervised Person ReID Jianfeng Weng Kun Hu Tingting Yao Jingya Wang Zhiyong Wang FedML 56 3 0 18 Jan 2023
Improve Noise Tolerance of Robust Loss via Noise-Awareness Kehui Ding Jun Shu Deyu Meng Zongben Xu NoLa 96 5 0 18 Jan 2023
Transformers as Algorithms: Generalization and Stability in In-context Learning Yingcong Li M. E. Ildiz Dimitris Papailiopoulos Samet Oymak 118 174 0 17 Jan 2023
Dataset Distillation: A Comprehensive Review Ruonan Yu Songhua Liu Xinchao Wang DD 163 132 0 17 Jan 2023
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes Konstantin Mishchenko Slavomír Hanzely Peter Richtárik FedML 71 6 0 17 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 223 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 76 4 0 16 Jan 2023