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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
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks Alex Quach Makram Chahine Alexander Amini Ramin Hasani Daniela Rus 3DGS 92 9 0 21 Jun 2024
Camera-Invariant Meta-Learning Network for Single-Camera-Training Person Re-identification Jiangbo Pei Zhuqing Jiang Aidong Men Haiying Wang Haiyong Luo Shiping Wen 3DPC 97 0 0 21 Jun 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization Qianli Shen Yezhen Wang Zhouhao Yang Xiang Li Haonan Wang Yang Zhang Jonathan Scarlett Zhanxing Zhu Kenji Kawaguchi AI4CE 107 4 0 20 Jun 2024
Urban-Focused Multi-Task Offline Reinforcement Learning with Contrastive Data Sharing Xinbo Zhao Yingxue Zhang Xin Zhang Yu Yang Yiqun Xie Yanhua Li Jun Luo OffRL 76 2 0 20 Jun 2024
Constrained Meta Agnostic Reinforcement Learning Karam Daaboul Florian Kuhm Tim Joseph J. Marius Zoellner 118 0 0 20 Jun 2024
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation Haochen Liu Song Wang Chen Chen Jundong Li 85 2 0 19 Jun 2024
Semantic Enhanced Few-shot Object Detection Zheng Wang Yingjie Gao Qingjie Liu Yunhong Wang ObjD 102 4 0 19 Jun 2024
Recurrent Inference Machine for Medical Image Registration Yi Zhang Yidong Zhao Hui Xue Peter Kellman Stefan Klein Qian Tao OOD 75 0 0 19 Jun 2024
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning Hansi Yang James T. Kwok 97 0 0 19 Jun 2024
Memory Sequence Length of Data Sampling Impacts the Adaptation of Meta-Reinforcement Learning Agents Menglong Zhang Fuyuan Qian Quanying Liu 94 1 0 18 Jun 2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning Cilin Yan Haochen Wang Xiaolong Jiang Feng-Long Xie Xu Tang Guoliang Kang E. Gavves VLM 86 0 0 17 Jun 2024
Relational Learning in Pre-Trained Models: A Theory from Hypergraph Recovery Perspective Yang Chen Cong Fang Zhouchen Lin Bing Liu 57 1 0 17 Jun 2024
Pre-Training and Personalized Fine-Tuning via Over-the-Air Federated Meta-Learning: Convergence-Generalization Trade-Offs Haifeng Wen Hong Xing Osvaldo Simeone AI4CE 97 3 0 17 Jun 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 103 3 0 15 Jun 2024
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling Tianxiang Zhao Dongsheng Luo Xiang Zhang Suhang Wang 61 3 0 14 Jun 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints Liuyuan Jiang Quan-Wu Xiao Victor M. Tenorio Fernando Real-Rojas Antonio G. Marques Tianyi Chen 148 2 0 14 Jun 2024
Towards Scalable and Versatile Weight Space Learning Konstantin Schurholt Michael W. Mahoney Damian Borth 107 19 0 14 Jun 2024
Data-dependent and Oracle Bounds on Forgetting in Continual Learning Lior Friedman Ron Meir 140 0 0 13 Jun 2024
ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation Yong Wu Yang Wang Sanqing Qu Zhijun Li Guang Chen 107 1 0 13 Jun 2024
Few-Shot Anomaly Detection via Category-Agnostic Registration Learning Chaoqin Huang Haoyan Guan Aofan Jiang Yanfeng Wang Michael W. Spratling Xinchao Wang Ya Zhang 138 1 0 13 Jun 2024
Generalizable Implicit Neural Representation As a Universal Spatiotemporal Traffic Data Learner Tong Nie Guoyang Qin Wei Ma Jian Sun 81 1 0 13 Jun 2024
XLand-100B: A Large-Scale Multi-Task Dataset for In-Context Reinforcement Learning Alexander Nikulin Ilya Zisman Alexey Zemtsov Viacheslav Sinii 203 7 0 13 Jun 2024
Strategies for Pretraining Neural Operators Anthony Zhou Cooper Lorsung AmirPouya Hemmasian Amir Barati Farimani AI4CE 98 6 0 12 Jun 2024
Residual Learning and Context Encoding for Adaptive Offline-to-Online Reinforcement Learning Mohammadreza Nakhaei Aidan Scannell Joni Pajarinen OffRL 101 1 0 12 Jun 2024
Meta-Learning Neural Procedural Biases Christian Raymond Qi Chen Bing Xue Mengjie Zhan 105 1 0 12 Jun 2024
Multi-Teacher Multi-Objective Meta-Learning for Zero-Shot Hyperspectral Band Selection Jie Feng Xiaojian Zhong Di Li Weisheng Dong Ronghua Shang Licheng Jiao 49 0 0 12 Jun 2024
Noise-Aware Differentially Private Regression via Meta-Learning Ossi Raisa Stratis Markou Matthew Ashman W. Bruinsma Marlon Tobaben Antti Honkela Richard Turner 186 1 0 12 Jun 2024
TextGrad: Automatic "Differentiation" via Text Mert Yuksekgonul Federico Bianchi Joseph Boen Sheng Liu Zhi Huang Carlos Guestrin James Zou LLMAG OOD AI4CE 106 48 0 11 Jun 2024
Let Go of Your Labels with Unsupervised Transfer Artyom Gadetsky Yulun Jiang Maria Brbić VLM 100 8 0 11 Jun 2024
Agnostic Sharpness-Aware Minimization Van-Anh Nguyen Quyen Tran Tuan Truong Thanh-Toan Do Dinh Q. Phung Trung Le 105 0 0 11 Jun 2024
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning Xiaoting Lyu Yufei Han Wei Wang Jingkai Liu Yongsheng Zhu Guangquan Xu Jiqiang Liu Xiangliang Zhang AAML FedML 105 7 0 10 Jun 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge David R. Wessels Riccardo Valperga Samuele Papa Jan-Jakob Sonke E. Gavves Erik J. Bekkers AI4CE 94 9 0 10 Jun 2024
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach Georgios Tsoumplekas C. Athanasiadis Dimitrios I. Doukas Antonios C. Chrysopoulos P. Mitkas AI4TS 98 3 0 09 Jun 2024
Anomaly Multi-classification in Industrial Scenarios: Transferring Few-shot Learning to a New Task Jie Liu Yao Wu Xiaotong Luo Zongze Wu 99 0 0 09 Jun 2024
Domain Agnostic Conditional Invariant Predictions for Domain Generalization Zongbin Wang Bin Pan Zhenwei Shi OOD 71 0 0 09 Jun 2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields David R. Wessels David M. Knigge Samuele Papa Riccardo Valperga Sharvaree P. Vadgama E. Gavves Erik J. Bekkers 146 10 0 09 Jun 2024
Fighting Against the Repetitive Training and Sample Dependency Problem in Few-shot Named Entity Recognition Chang Tian Wenpeng Yin Dan Li Marie-Francine Moens 94 4 0 08 Jun 2024
Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation Yumin Zhang Hongliu Li Yajun Gao Haoran Duan Yawen Huang Yefeng Zheng 79 6 0 07 Jun 2024
Graph Mining under Data scarcity Appan Rakaraddi Lam Siew-Kei Mahardhika Pratama Marcus Vinícius de Carvalho BDL 89 0 0 07 Jun 2024
OVMR: Open-Vocabulary Recognition with Multi-Modal References Zehong Ma Shiliang Zhang Longhui Wei Qi Tian VLM 104 0 0 07 Jun 2024
Cooperative Meta-Learning with Gradient Augmentation Jongyun Shin Seunjin Han Jangho Kim VLM 82 2 0 07 Jun 2024
Federated Representation Learning in the Under-Parameterized Regime Renpu Liu Cong Shen Jing Yang 90 5 0 07 Jun 2024
Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit Learning Subhojyoti Mukherjee Josiah P. Hanna Qiaomin Xie Robert Nowak 255 2 0 07 Jun 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis Jiaoda Li Buse Giledereli Mrinmaya Sachan Ryan Cotterell LRM 95 8 0 06 Jun 2024
Slicing Mutual Information Generalization Bounds for Neural Networks Kimia Nadjahi Kristjan Greenewald Rickard Brüel-Gabrielsson Justin Solomon 99 4 0 06 Jun 2024
Meta-learning for Positive-unlabeled Classification Atsutoshi Kumagai Tomoharu Iwata Yasuhiro Fujiwara 80 1 0 06 Jun 2024
Inductive Generalization in Reinforcement Learning from Specifications Vignesh Subramanian Rohit Kushwah Subhajit Roy Suguman Bansal OffRL 107 1 0 05 Jun 2024
EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift Peng Zhao Runchu Dong Guiqin Wang Cong Zhao 105 2 0 05 Jun 2024
System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization Jixiang Qing Becky D Langdon Robert M. Lee B. Shafei Mark van der Wilk Calvin Tsay Ruth Misener 75 3 0 04 Jun 2024
Test-Time Regret Minimization in Meta Reinforcement Learning Mirco Mutti Aviv Tamar 78 4 0 04 Jun 2024