Alpha MAML: Adaptive Model-Agnostic Meta-Learning

17 May 2019

Papers citing "Alpha MAML: Adaptive Model-Agnostic Meta-Learning"

38 / 38 papers shown

Title
Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations Chenghao Xiao Hou Pong Chan Hao Zhang Mahani Aljunied Lidong Bing Noura Al Moubayed Yu Rong 65 0 0 18 Apr 2025
Meta-Learning Neural Procedural Biases Christian Raymond Qi Chen Bing Xue Mengjie Zhan 52 1 0 12 Jun 2024
A Partially Supervised Reinforcement Learning Framework for Visual Active Search Anindya Sarkar Nathan Jacobs Yevgeniy Vorobeychik 35 2 0 15 Oct 2023
Convergence of Gradient-based MAML in LQR N. Musavi Geir E. Dullerud 28 5 0 12 Sep 2023
An Introduction to Bi-level Optimization: Foundations and Applications in Signal Processing and Machine Learning Yihua Zhang Prashant Khanduri Ioannis C. Tsaknakis Yuguang Yao Min-Fong Hong Sijia Liu AI4CE 44 25 0 01 Aug 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks Sriprabha Ramanarayanan Arun Palla Keerthi Ram M. Sivaprakasam 18 10 0 13 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 29 70 0 10 Jul 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 49 7 0 28 May 2023
Meta-learning approaches for few-shot learning: A survey of recent advances Hassan Gharoun Fereshteh Momenifar Fang Chen Amir H. Gandomi OOD VLM 44 43 0 13 Mar 2023
Towards Personalized Preprocessing Pipeline Search Diego Martinez Daochen Zha Qiaoyu Tan Xia Hu AI4TS 31 2 0 28 Feb 2023
Task Discovery: Finding the Tasks that Neural Networks Generalize on Andrei Atanov Andrei Filatov Teresa Yeo Ajay Sohmshetty Amir Zamir OOD 45 10 0 01 Dec 2022
Meta Adversarial Perturbations Chia-Hung Yuan Pin-Yu Chen Chia-Mu Yu AAML 25 2 0 19 Nov 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 18 97 0 08 Oct 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 32 99 0 29 Jun 2021
Graceful Degradation and Related Fields J. Dymond 31 4 0 21 Jun 2021
Memory-Based Optimization Methods for Model-Agnostic Meta-Learning and Personalized Federated Learning Bokun Wang Zhuoning Yuan Yiming Ying Tianbao Yang FedML 56 9 0 09 Jun 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 24 7 0 15 Apr 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 41 324 0 08 Mar 2021
Domain Invariant Representation Learning with Domain Density Transformations A. Nguyen Toan M. Tran Y. Gal A. G. Baydin OOD 29 74 0 09 Feb 2021
Generalization of Model-Agnostic Meta-Learning Algorithms: Recurring and Unseen Tasks Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 25 49 0 07 Feb 2021
PAC-Bayes Bounds for Meta-learning with Data-Dependent Prior Tianyu Liu Jie Lu Zheng Yan Guangquan Zhang 24 12 0 07 Feb 2021
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond Risheng Liu Jiaxin Gao Jin Zhang Deyu Meng Zhouchen Lin AI4CE 59 223 0 27 Jan 2021
Few Shot Learning With No Labels Aditya Bharti V. Balasubramanian C. V. Jawahar VLM 20 3 0 26 Dec 2020
A Nested Bi-level Optimization Framework for Robust Few Shot Learning Krishnateja Killamsetty Changbin Li Chengli Zhao Rishabh K. Iyer Feng Chen 11 10 0 13 Nov 2020
AutoSimulate: (Quickly) Learning Synthetic Data Generation Harkirat Singh Behl A. G. Baydin Ran Gal Philip Torr Vibhav Vineet 16 23 0 16 Aug 2020
An Overview of Deep Learning Architectures in Few-Shot Learning Domain Shruti Jadon Aryan Jadon VLM 43 55 0 12 Aug 2020
La-MAML: Look-ahead Meta Learning for Continual Learning Gunshi Gupta Karmesh Yadav Liam Paull CLL VLM 22 68 0 27 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Meta Learning in the Continuous Time Limit Ruitu Xu Lin Chen Amin Karbasi 12 14 0 19 Jun 2020
Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? Xiang Deng Zhongfei Zhang AI4CE 14 5 0 27 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 36 561 0 19 Feb 2020
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 28 1 0 29 Nov 2019
When MAML Can Adapt Fast and How to Assist When It Cannot Sébastien M. R. Arnold Shariq Iqbal Fei Sha 19 5 0 30 Oct 2019
ES-MAML: Simple Hessian-Free Meta Learning Xingyou Song Wenbo Gao Yuxiang Yang K. Choromanski Aldo Pacchiano Yunhao Tang 17 119 0 25 Sep 2019
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms Alireza Fallah Aryan Mokhtari Asuman Ozdaglar 33 226 0 27 Aug 2019
Meta Learning Deep Visual Words for Fast Video Object Segmentation Harkirat Singh Behl M. Najafi Anurag Arnab Philip Torr VOS 19 18 0 04 Dec 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 383 11,700 0 09 Mar 2017