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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
Dynamic Link Prediction for New Nodes in Temporal Graph Networks Xiaobo Zhu Yan Wu Qin-Hu Zhang Zhanheng Chen Ying He AI4CE 75 2 0 15 Oct 2023
A Partially Supervised Reinforcement Learning Framework for Visual Active Search Anindya Sarkar Nathan Jacobs Yevgeniy Vorobeychik 85 6 0 15 Oct 2023
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks Woojin Cho Kookjin Lee Donsub Rim Noseong Park AI4CE PINN 94 20 0 14 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 77 0 0 14 Oct 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 75 11 0 13 Oct 2023
Subspace Adaptation Prior for Few-Shot Learning Mike Huisman Aske Plaat Jan N. van Rijn VLM 73 2 0 13 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding Jixuan Cui Jun Li Zhen Mei Kang Wei Sha Wei Ming Ding Wen Chen Song Guo FedML 50 7 0 13 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 82 5 0 13 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 95 53 0 12 Oct 2023
X-Pose: Detecting Any Keypoints Jie Yang Ailing Zeng Ruimao Zhang Lei Zhang 93 7 0 12 Oct 2023
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Lapo Frati Neil Traft Jeff Clune Nick Cheney CLL 79 1 0 12 Oct 2023
Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters Mateusz Michalkiewicz M. Faraki Xiang Yu Manmohan Chandraker Mahsa Baktash 53 4 0 11 Oct 2023
How Do Large Language Models Capture the Ever-changing World Knowledge? A Review of Recent Advances Zihan Zhang Meng Fang Lingxi Chen Mohammad-Reza Namazi-Rad Jun Wang KELM 96 24 0 11 Oct 2023
Multi-task Explainable Skin Lesion Classification Mahapara Khurshid Mayank Vatsa Richa Singh 58 1 0 11 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 135 57 0 10 Oct 2023
Data efficient deep learning for medical image analysis: A survey Suruchi Kumari Pravendra Singh 93 12 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 85 9 0 09 Oct 2023
A Meta-Learning Perspective on Transformers for Causal Language Modeling Xinbo Wu Lav Varshney 80 7 0 09 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments Xiong-Hui Chen Junyin Ye Hang Zhao Yi-Chen Li Haoran Shi ... Si-Hang Yang Anqi Huang Kai Xu Zongzhang Zhang Yang Yu 73 0 0 09 Oct 2023
Making Scalable Meta Learning Practical Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie Emma Strubell Eric Xing 115 16 0 09 Oct 2023
LARA: A Light and Anti-overfitting Retraining Approach for Unsupervised Time Series Anomaly Detection Feiyi Chen Zhen Qin Yingying Zhang Shuiguang Deng Lunting Fan Guansong Pang Qingsong Wen AI4TS 82 7 0 09 Oct 2023
Locality-Aware Generalizable Implicit Neural Representation Doyup Lee Chiheon Kim Minsu Cho Wook-Shin Han 87 12 0 09 Oct 2023
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology Qingsong Xu Yilei Shi Jonathan Bamber Ye Tuo Ralf Ludwig Xiao Xiang Zhu AI4CE 143 10 0 08 Oct 2023
Open-Vocabulary Animal Keypoint Detection with Semantic-feature Matching Hao Zhang Lumin Xu Shenqi Lai Wenqi Shao Nanning Zheng Ping Luo Yu Qiao Kaipeng Zhang ObjD VLM 108 11 0 08 Oct 2023
Diff-Transfer: Model-based Robotic Manipulation Skill Transfer via Differentiable Physics Simulation Yuqi Xiang Feitong Chen Qinsi Wang Yang Gang Xiang Zhang Xinghao Zhu Xingyu Liu Lin Shao 73 1 0 07 Oct 2023
EdgeFD: An Edge-Friendly Drift-Aware Fault Diagnosis System for Industrial IoT Chen Jiao Fengjian Mao Lv Zuohong Jianhua Tang 54 8 0 07 Oct 2023
PatchProto Networks for Few-shot Visual Anomaly Classification Jian Wang Yue Zhuo 55 0 0 07 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 138 2 0 05 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design Matthew Jackson Minqi Jiang Jack Parker-Holder Risto Vuorio Chris Xiaoxuan Lu Gregory Farquhar Shimon Whiteson Jakob N. Foerster OOD 64 9 0 04 Oct 2023
SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning Junhoo Lee Jayeon Yoo Nojun Kwak 68 2 0 04 Oct 2023
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 155 4 0 04 Oct 2023
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 67 0 0 03 Oct 2023
Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning Finn Rietz Erik Schaffernicht Stefan Heinrich J. A. Stork 73 1 0 03 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 145 12 0 03 Oct 2023
Robot Fleet Learning via Policy Merging Lirui Wang Kaiqing Zhang Allan Zhou Max Simchowitz Russ Tedrake 126 5 0 02 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 104 3 0 02 Oct 2023
SIP: Injecting a Structural Inductive Bias into a Seq2Seq Model by Simulation Matthias Lindemann Alexander Koller Ivan Titov AI4CE 70 5 0 01 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 80 9 0 01 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 96 80 0 01 Oct 2023
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu Yaqing Wang Quanming Yao 56 4 0 01 Oct 2023
AdaptNet: Policy Adaptation for Physics-Based Character Control Pei Xu Kaixiang Xie Sheldon Andrews P. Kry Michael Neff Morgan McGuire Ioannis Karamouzas Victor Zordan TTA 119 19 0 30 Sep 2023
RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations Carlos Rombaldo Junior Ingolf Becker Zongyu Guo Shane Johnson 76 12 0 29 Sep 2023
Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis Marcel C. Bühler Kripasindhu Sarkar Tanmay Shah Gengyan Li Daoye Wang ... Sergio Orts Dmitry Lagun Otmar Hilliges Thabo Beeler Abhimitra Meka CVBM 3DH 86 20 0 28 Sep 2023
Towards Poisoning Fair Representations Tianci Liu Haoyu Wang Feijie Wu Hengtong Zhang Pan Li Lu Su Jing Gao AAML 83 2 0 28 Sep 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Vaibhav Ganatra 70 3 0 28 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 101 2 0 28 Sep 2023
Multi-unit soft sensing permits few-shot learning B. Grimstad Fadhil G. Al-Amran Maitham G. Yousif 92 1 0 27 Sep 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 74 4 0 27 Sep 2023
Model Share AI: An Integrated Toolkit for Collaborative Machine Learning Model Development, Provenance Tracking, and Deployment in Python Heinrich Peters Michael Parrott 46 0 0 27 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 100 10 0 26 Sep 2023