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
Cross-Domain Continual Learning for Edge Intelligence in Wireless ISAC Networks Jingzhi Hu Xin Li Zhou Su Jun-Jie Luo 60 0 0 18 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 62 3 0 17 Feb 2025
Learn2Mix: Training Neural Networks Using Adaptive Data Integration Shyam Venkatasubramanian Vahid Tarokh 78 0 0 17 Feb 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning M. A. Ma'sum Mahardhika Pratama Igor Skrjanc CLL 41 0 0 12 Feb 2025
Skill Expansion and Composition in Parameter Space Tenglong Liu J. Li Yinan Zheng Haoyi Niu Yixing Lan Xin Xu Xianyuan Zhan 58 4 0 09 Feb 2025
Coreset-Based Task Selection for Sample-Efficient Meta-Reinforcement Learning Donglin Zhan Leonardo F. Toso James Anderson 97 1 0 04 Feb 2025
Toward Task Generalization via Memory Augmentation in Meta-Reinforcement Learning Kaixi Bao Chenhao Li Yarden As Andreas Krause Marco Hutter OffRL CLL 111 1 0 03 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches Luca Ciampi Ali Azmoudeh Elif Ecem Akbaba Erdi Sarıtaş Ziya Ata Yazıcı H. K. Ekenel Giuseppe Amato Fabrizio Falchi 99 0 0 31 Jan 2025
DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems Se-Wook Yoo Seung-Woo Seo 48 0 0 30 Jan 2025
AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Surojit Saha Ross T. Whitaker 46 0 0 28 Jan 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management Bob Johnson Michael Geller 44 1 0 28 Jan 2025
COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving Jules Sanchez Jean-Emmanuel Deschaud Franccois Goulette 62 1 0 28 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 51 4 0 28 Jan 2025
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy Chen Wang Kaiyi Ji Junyi Geng Zhongqiang Ren Taimeng Fu ... Yi Du Qihang Li Y. Yang Xiao Lin Zhipeng Zhao SSL 78 9 0 28 Jan 2025
Reinforcement Teaching Alex Lewandowski Calarina Muslimani Dale Schuurmans Matthew E. Taylor Jun-Jie Luo 76 1 0 28 Jan 2025
RLER-TTE: An Efficient and Effective Framework for En Route Travel Time Estimation with Reinforcement Learning Zhihan Zheng Haitao Yuan Minxiao Chen Shangguang Wang AI4TS 71 1 0 28 Jan 2025
Multiple Queries with Multiple Keys: A Precise Prompt Matching Paradigm for Prompt-based Continual Learning Dunwei Tu Huiyu Yi Y. Wang Baile Xu Jian Zhao F. Shen CLL 107 0 0 28 Jan 2025
Geometric Mean Improves Loss For Few-Shot Learning Tong Wu Takumi Kobayashi 31 0 0 24 Jan 2025
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 31 0 0 24 Jan 2025
State Combinatorial Generalization In Decision Making With Conditional Diffusion Models Xintong Duan Yutong He Fahim Tajwar Wen-Tse Chen Ruslan Salakhutdinov Jeff Schneider OffRL AI4CE 99 0 0 22 Jan 2025
DocTTT: Test-Time Training for Handwritten Document Recognition Using Meta-Auxiliary Learning Wenhao Gu Li Gu Ziqiang Wang Ching Yee Suen Yang Wang 49 0 0 22 Jan 2025
Exploring Preference-Guided Diffusion Model for Cross-Domain Recommendation Xiaodong Li Hengzhu Tang Jiawei Sheng Xinghua Zhang Li Gao Suqi Cheng Dawei Yin Tingwen Liu DiffM 71 1 0 20 Jan 2025
Collaborative Imputation of Urban Time Series through Cross-city Meta-learning Tong Nie Wei Ma Jian-jun Sun Yu Yang Jiannong Cao AI4TS AI4CE 36 0 0 20 Jan 2025
MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance Jialong Guo Ke Liu Jiangchao Yao Zhihua Wang Jiajun Bu Haishuai Wang AI4TS 44 0 0 20 Jan 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 87 7 0 17 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 77 3 0 17 Jan 2025
Continual Test-Time Adaptation for Single Image Defocus Deblurring via Causal Siamese Networks Shuang Cui Yi Li Jiangmeng Li Xiongxin Tang Bing-Huang Su Fanjiang Xu Hui Xiong 53 0 0 15 Jan 2025
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation Han Liu Yinwei Wei Fan Liu W. Wang Liqiang Nie Tat-Seng Chua 46 17 0 13 Jan 2025
Enhancing Unsupervised Graph Few-shot Learning via Set Functions and Optimal Transport Yonghao Liu Fausto Giunchiglia Ximing Li Lan Huang Xiaoyue Feng Renchu Guan OffRL 127 0 0 10 Jan 2025
Noise-Tolerant Hybrid Prototypical Learning with Noisy Web Data Chao Liang Linchao Zhu Zongxin Yang Wei Chen Yi Yang NoLa 59 0 0 05 Jan 2025
U-GIFT: Uncertainty-Guided Firewall for Toxic Speech in Few-Shot Scenario Jiaxin Song Xinyu Wang Yihao Wang Yifan Tang Ru Zhang Jianyi Liu Gongshen Liu AAML 37 0 0 03 Jan 2025
Perception Stitching: Zero-Shot Perception Encoder Transfer for Visuomotor Robot Policies Pingcheng Jian Easop Lee Zachary I. Bell Michael M. Zavlanos Boyuan Chen 69 1 0 03 Jan 2025
CPT: Competence-progressive Training Strategy for Few-shot Node Classification Qilong Yan Yufeng Zhang Jinghao Zhang Jingpu Duan Jian Yin 47 0 0 03 Jan 2025
In-Context Learning with Iterative Demonstration Selection Chengwei Qin Aston Zhang C. L. P. Chen Anirudh Dagar Wenming Ye LRM 68 38 0 31 Dec 2024
ErasableMask: A Robust and Erasable Privacy Protection Scheme against Black-box Face Recognition Models Sipeng Shen Yunming Zhang Dengpan Ye Xiuwen Shi Long Tang Haoran Duan Jiacheng Deng Ziyi Liu AAML PICV 79 0 0 31 Dec 2024
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning Long Zhou Fereshteh Shakeri Aymen Sadraoui Mounir Kaaniche J. Pesquet Ismail Ben Ayed VLM 84 0 0 21 Dec 2024
Spatio-Temporal Fuzzy-oriented Multi-Modal Meta-Learning for Fine-grained Emotion Recognition Jingyao Wang Yuxuan Yang Wenwen Qiang Changwen Zheng 74 0 0 18 Dec 2024
Meta Curvature-Aware Minimization for Domain Generalization Z. Chen Yiwen Ye Feilong Tang Yongsheng Pan Yong-quan Xia BDL 188 1 0 16 Dec 2024
Task-driven Image Fusion with Learnable Fusion Loss Haowen Bai Jiangshe Zhang Zixiang Zhao Yichen Wu Lilun Deng Yukun Cui Tao Feng Shuang Xu 81 0 0 04 Dec 2024
How to Learn a New Language? An Efficient Solution for Self-Supervised Learning Models Unseen Languages Adaption in Low-Resource Scenario Shih-Heng Wang Zih-Ching Chen Jiatong Shi Ming To Chuang Guan-Ting Lin Kuan Po Huang David F. Harwath Shang-Wen Li Hung-yi Lee 78 1 0 27 Nov 2024
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning Y. Luo Yuezihan Jiang Yinjie Jiang Gaode Chen J. Wang Kaigui Bian Peiyi Li Qi Zhang 30 0 0 18 Nov 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity Robby Costales Stefanos Nikolaidis AI4CE 29 0 0 07 Nov 2024
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-Optimization Zeyuan Ma Hongshu Guo Yue-jiao Gong Jun Zhang Kay Chen Tan 104 2 0 01 Nov 2024
Prospective Learning: Learning for a Dynamic Future Ashwin De Silva Rahul Ramesh Rubing Yang Siyu Yu Joshua T. Vogelstein Pratik Chaudhari AI4TS 61 0 0 31 Oct 2024
FALCON: Feedback-driven Adaptive Long/short-term memory reinforced Coding Optimization system Zeyuan Li Yangfan He Lewei He Jianhui Wang Tianyu Shi Bin Lei Yuchen Li Qiuwu Chen ALM 58 5 0 28 Oct 2024
Transferable Adversarial Attacks on SAM and Its Downstream Models Song Xia Wenhan Yang Yi Yu Xun Lin Henghui Ding Lingyu Duan Xudong Jiang AAML SILM 55 6 0 26 Oct 2024
Brain-like variational inference Hadi Vafaii Dekel Galor Jacob L. Yates DRL 44 0 0 25 Oct 2024
Multi-agent cooperation through learning-aware policy gradients Alexander Meulemans Seijin Kobayashi J. Oswald Nino Scherrer Eric Elmoznino Blake A. Richards Guillaume Lajoie Blaise Agüera y Arcas João Sacramento 41 0 0 24 Oct 2024
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 23 0 0 21 Oct 2024
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference Paul E. Chang Nasrulloh Loka Daolang Huang Ulpu Remes Samuel Kaski Luigi Acerbi AI4CE 46 4 0 20 Oct 2024