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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
Towards a More Complete Theory of Function Preserving Transforms Michael Painter 27 0 0 14 Oct 2024
Combining Observational Data and Language for Species Range Estimation Max Hamilton Christian Lange Elijah Cole Alexander Shepard Samuel Heinrich Oisin Mac Aodha Grant Van Horn Subhransu Maji 68 5 0 14 Oct 2024
Neural networks that overcome classic challenges through practice Kazuki Irie Brenden M. Lake 97 6 0 14 Oct 2024
Continual Learning Improves Zero-Shot Action Recognition Shreyank N. Gowda Davide Moltisanti Laura Sevilla-Lara BDL VLM CLL 135 1 0 14 Oct 2024
Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks Xinyue Liu Yunlong Gao Linlin Zong Bo Xu VLM 77 1 0 14 Oct 2024
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Minyoung Kim Timothy M. Hospedales BDL 125 0 0 14 Oct 2024
Learning via Surrogate PAC-Bayes Antoine Picard-Weibel Roman Moscoviz Benjamin Guedj 52 0 0 14 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation Peijia Qin Ruiyi Zhang Pengtao Xie 62 2 0 13 Oct 2024
Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator Siyuan Xu Minghui Zhu OffRL 72 1 0 13 Oct 2024
Meta-Transfer Learning Empowered Temporal Graph Networks for Cross-City Real Estate Appraisal Weijia Zhang Jindong Han Hao Liu Wei Fan Haoran Wang Hui Xiong 53 1 0 11 Oct 2024
On-Chip Learning via Transformer In-Context Learning Jan Finkbeiner Emre Neftci 50 0 0 11 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning Nusrat Jahan Prottasha Asif Mahmud Md. Shohanur Islam Sobuj Prakash Bhat Md. Kowsher Niloofar Yousefi O. Garibay 113 7 0 11 Oct 2024
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs Ran Liu Zhongzhou Liu Xiaoli Li Yuan Fang 86 0 0 11 Oct 2024
Metalic: Meta-Learning In-Context with Protein Language Models Jacob Beck Shikha Surana Manus McAuliffe Oliver Bent Thomas D. Barrett Juan Jose Garau Luis Paul Duckworth AI4CE 83 1 0 10 Oct 2024
System 2 Reasoning via Generality and Adaptation Sejin Kim Sundong Kim LRM AI4CE 120 0 0 10 Oct 2024
Retrieval-Augmented Decision Transformer: External Memory for In-context RL Thomas Schmied Fabian Paischer Vihang Patil M. Hofmarcher Razvan Pascanu Sepp Hochreiter OffRL 101 7 0 09 Oct 2024
Transfer Learning for a Class of Cascade Dynamical Systems Shima Rabiei Sandipan Mishra Santiago Paternain 53 0 0 09 Oct 2024
Happy: A Debiased Learning Framework for Continual Generalized Category Discovery Shijie Ma Fei Zhu Zhun Zhong Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 87 9 0 09 Oct 2024
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data Mingu Kang Dongseok Lee Woojin Cho Jaehyeon Park Kookjin Lee Anthony Gruber Youngjoon Hong Noseong Park DiffM AI4CE 72 0 0 09 Oct 2024
Agile Mobility with Rapid Online Adaptation via Meta-learning and Uncertainty-aware MPPI Dvij Kalaria Haoru Xue Wenli Xiao Tony Tao Guanya Shi John M. Dolan 96 2 0 09 Oct 2024
Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing Mengze Hong Di Jiang Yuanfeng Song Chen Jason Zhang 83 2 0 08 Oct 2024
ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Shiguang Wu Yaqing Wang Yatao Bian Quanming Yao CLL 137 0 0 08 Oct 2024
FreSh: Frequency Shifting for Accelerated Neural Representation Learning Adam Kania Marko Mihajlovic Sergey Prokudin Jacek Tabor Przemysław Spurek 71 2 0 07 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 97 5 0 07 Oct 2024
Meta-Dynamical State Space Models for Integrative Neural Data Analysis Ayesha Vermani Josue Nassar Hyungju Jeon Matthew Dowling Il Memming Park 143 1 0 07 Oct 2024
Active Fine-Tuning of Multi-Task Policies Marco Bagatella Jonas Hübotter Georg Martius Andreas Krause 149 0 0 07 Oct 2024
A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition David-Gabriel Ion Razvan-Alexandru Smadu Dumitru-Clementin Cercel Florin-Catalin Pop Mihaela-Claudia Cercel 65 0 0 06 Oct 2024
Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification Xuanyu Zhuang Geoffroy Peeters Gaël Richard 35 0 0 04 Oct 2024
Should Cross-Lingual AMR Parsing go Meta? An Empirical Assessment of Meta-Learning and Joint Learning AMR Parsing J. Kang Maximin Coavoux Cédric Lopez D. Schwab 64 3 0 04 Oct 2024
Adaptive Masking Enhances Visual Grounding Sen Jia Lei Li 75 0 0 04 Oct 2024
Collaborative and Efficient Personalization with Mixtures of Adaptors Abdulla Jasem Almansoori Samuel Horváth Martin Takáč FedML 92 3 0 04 Oct 2024
Zebra: In-Context Generative Pretraining for Solving Parametric PDEs Louis Serrano Armand K. Koupai Thomas X. Wang Pierre Erbacher Patrick Gallinari AI4CE 107 5 0 04 Oct 2024
Recurrent Few-Shot model for Document Verification Maxime Talarmain Carlos Boned Sanket Biswas Oriol Ramos 68 1 0 03 Oct 2024
Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification Yunchuan Guan Yu Liu Ketong Liu Ke Zhou Zhiqi Shen 78 1 0 03 Oct 2024
Learning to learn ecosystems from limited data -- a meta-learning approach Zheng-Meng Zhai Bryan Glaz Mulugeta Haile Ying-Cheng Lai 63 1 0 02 Oct 2024
Meta-TTT: A Meta-learning Minimax Framework For Test-Time Training Chen Tao Li Shen Soumik Mondal 64 0 0 02 Oct 2024
One-Shot Robust Imitation Learning for Long-Horizon Visuomotor Tasks from Unsegmented Demonstrations Shaokang Wu Yijin Wang Yanlong Huang VLM 47 0 0 02 Oct 2024
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin Gustaf Tegnér Miguel Vasco Hang Yin Mårten Björkman Danica Kragic 80 0 0 02 Oct 2024
Reevaluating Meta-Learning Optimization Algorithms Through Contextual Self-Modulation Roussel Desmond Nzoyem David A.W. Barton Tom Deakin 107 4 0 02 Oct 2024
Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling Jinghan Li Zhicheng Sun Fei Li 246 2 0 02 Oct 2024
Recovering Time-Varying Networks From Single-Cell Data Euxhen Hasanaj Barnabás Póczos Ziv Bar-Joseph AI4CE 59 0 0 01 Oct 2024
Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals Yooseok Lim Sujee Lee SSL 28 0 0 01 Oct 2024
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN Fatemeh Lotfi Fatemeh Afghah AI4CE 56 3 0 30 Sep 2024
Scaling Proprioceptive-Visual Learning with Heterogeneous Pre-trained Transformers Lirui Wang Xinlei Chen Jialiang Zhao Kaiming He 73 44 0 30 Sep 2024
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint Detection Changsheng Lu Zheyuan Liu Piotr Koniusz VLM 75 4 0 30 Sep 2024
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification Kexue Fu Xiaoyuan Luo Linhao Qu Shuo Wang Ying Xiong Ilias Maglogiannis Longxiang Gao Manning Wang 60 2 0 29 Sep 2024
Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Zhuoning Guo Hao Liu Le Zhang Qi Zhang Hengshu Zhu Hui Xiong AI4TS FedML 145 0 0 29 Sep 2024
An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 171 3 0 28 Sep 2024
Learning to Obstruct Few-Shot Image Classification over Restricted Classes Amber Yijia Zheng Chiao-An Yang Raymond A. Yeh 101 2 0 28 Sep 2024
Scalable Fine-tuning from Multiple Data Sources: A First-Order Approximation Approach Dongyue Li Ziniu Zhang Lu Wang Hongyang R. Zhang 105 1 0 28 Sep 2024