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
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 31 2 0 03 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 27 4 0 01 Dec 2023
IMMA: Immunizing text-to-image Models against Malicious Adaptation Yijia Zheng Raymond A. Yeh 47 8 0 30 Nov 2023
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 37 2 0 29 Nov 2023
A Graph-Based Approach for Category-Agnostic Pose Estimation Or Hirschorn S. Avidan 25 10 0 29 Nov 2023
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations Delaram Pirhayatifard Taha Toghani Guha Balakrishnan César A. Uribe DiffM 35 0 0 27 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 44 19 0 27 Nov 2023
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing Avigyan Bhattacharya Mainak Singha Ankit Jha Biplab Banerjee SSL VLM 26 6 0 27 Nov 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 26 4 0 23 Nov 2023
Query by Activity Video in the Wild Tao Hu William Thong Pascal Mettes Cees G. M. Snoek 24 0 0 23 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 24 0 0 21 Nov 2023
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 39 0 0 21 Nov 2023
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations Wenjie Mo Lyne Tchapmi Qin Liu Jiong Wang Jun Yan Chaowei Xiao Muhao Chen Muhao Chen AAML 61 17 0 16 Nov 2023
Meta-learning of semi-supervised learning from tasks with heterogeneous attribute spaces Tomoharu Iwata Atsutoshi Kumagai 26 2 0 09 Nov 2023
A Deep Learning Based Resource Allocator for Communication Systems with Dynamic User Utility Demands Pourya Behmandpoor Panagiotis Patrinos Marc Moonen 16 1 0 08 Nov 2023
OpenForest: A data catalogue for machine learning in forest monitoring Arthur Ouaknine T. Kattenborn Etienne Laliberté David Rolnick 51 5 0 01 Nov 2023
Deceptive Fairness Attacks on Graphs via Meta Learning Jian Kang Yinglong Xia Ross Maciejewski Jiebo Luo Hanghang Tong 39 4 0 24 Oct 2023
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 34 4 0 22 Oct 2023
Zero-shot Learning of Individualized Task Contrast Prediction from Resting-state Functional Connectomes Minh Nguyen G. Ngo M. Sabuncu 22 2 0 21 Oct 2023
Towards a General Framework for Continual Learning with Pre-training Liyuan Wang Jingyi Xie Xingxing Zhang Hang Su Jun Zhu CLL 29 3 0 21 Oct 2023
Adversarial Attacks on Fairness of Graph Neural Networks Binchi Zhang Yushun Dong Chen Chen Yada Zhu Minnan Luo Jundong Li 41 3 0 20 Oct 2023
Solving Expensive Optimization Problems in Dynamic Environments with Meta-learning Huan Zhang Jinliang Ding Liang Feng Kay Chen Tan Ke Li 29 3 0 19 Oct 2023
AST: Effective Dataset Distillation through Alignment with Smooth and High-Quality Expert Trajectories Jiyuan Shen Wenzhuo Yang Kwok-Yan Lam DD 29 1 0 16 Oct 2023
Few-Shot Learning Patterns in Financial Time-Series for Trend-Following Strategies Kieran Wood Samuel Kessler Stephen J. Roberts S. Zohren AI4TS 31 2 0 16 Oct 2023
Few-shot Action Recognition with Captioning Foundation Models Xiang Wang Shiwei Zhang Hangjie Yuan Yingya Zhang Changxin Gao Deli Zhao Nong Sang VLM 28 7 0 16 Oct 2023
Farzi Data: Autoregressive Data Distillation Noveen Sachdeva Zexue He Wang-Cheng Kang Jianmo Ni D. Cheng Julian McAuley DD 23 3 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 37 16 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 29 9 0 13 Oct 2023
In-Context Learning for Few-Shot Molecular Property Prediction Christopher Fifty J. Leskovec Sebastian Thrun 36 5 0 13 Oct 2023
Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining Licong Lin Yu Bai Song Mei OffRL 32 43 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 24 0 0 12 Oct 2023
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 55 55 0 10 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 43 9 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 20 10 0 08 Oct 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
Learning How to Propagate Messages in Graph Neural Networks Teng Xiao Zhengyu Chen Donglin Wang Suhang Wang GNN 31 76 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 37 16 0 30 Sep 2023
Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples Shinýa Yamaguchi 38 2 0 28 Sep 2023
Multi-unit soft sensing permits few-shot learning B. Grimstad Fadhil G. Al-Amran Maitham G. Yousif 29 1 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 19 0 0 27 Sep 2023
Recurrent Hypernetworks are Surprisingly Strong in Meta-RL Jacob Beck Risto Vuorio Zheng Xiong Shimon Whiteson 43 9 0 26 Sep 2023
Domain Adaptive Few-Shot Open-Set Learning Debabrata Pal Deeptej More Sai Bhargav Dipesh Tamboli Vaneet Aggarwal Biplab Banerjee 29 2 0 22 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric Words Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 25 6 0 20 Sep 2023
Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation Yazhou Zhu Shidong Wang Tong Xin Zheng-Wei Zhang Haofeng Zhang 18 10 0 20 Sep 2023
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 19 0 0 18 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 32 6 0 17 Sep 2023
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Aroof Aimen Arsh Verma Makarand Tapaswi N. C. Krishnan 35 0 0 08 Sep 2023
Hundreds Guide Millions: Adaptive Offline Reinforcement Learning with Expert Guidance Qisen Yang Shenzhi Wang Qihang Zhang Gao Huang Shiji Song OffRL OnRL 26 8 0 04 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data Seunghan Yang Byeonggeun Kim Kyuhong Shim Simyoung Chang 29 1 0 31 Aug 2023