Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

19 September 2019

Papers citing "Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML"

50 / 106 papers shown

Title
Legilimens: Performant Video Analytics on the System-on-Chip Edge M. Ramanujam Yinwei Dai Kyle Jamieson Ravi Netravali 78 0 0 29 Apr 2025
Bayesian Comparisons Between Representations Heiko H. Schütt FAtt 161 0 0 20 Feb 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
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
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
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 32 0 0 18 Nov 2024
Rethinking Meta-Learning from a Learning Lens Jingyao Wang Wenwen Qiang Chuxiong Sun Lingyu Si Jiangmeng Li 43 1 0 13 Sep 2024
Spuriousness-Aware Meta-Learning for Learning Robust Classifiers Guangtao Zheng Wenqian Ye Aidong Zhang 42 0 0 15 Jun 2024
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 37 1 0 01 Mar 2024
Any-Way Meta Learning Junhoo Lee Yearim Kim Hyunho Lee Nojun Kwak 24 0 0 10 Jan 2024
Meta ControlNet: Enhancing Task Adaptation via Meta Learning Junjie Yang Jinze Zhao Peihao Wang Zhangyang Wang Yingbin Liang 26 2 0 03 Dec 2023
Interpretable Meta-Learning of Physical Systems Matthieu Blanke Marc Lelarge AI4CE 22 4 0 01 Dec 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 41 1 0 16 Nov 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning Techniques Mike Huisman Aske Plaat Jan N. van Rijn MLT 35 9 0 09 Oct 2023
Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems? Davide Buffelli Ashish Gupta Agnieszka Strzalka Vassilis Plachouras OffRL LRM 24 1 0 16 Aug 2023
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning Baoquan Zhang Chuyao Luo Demin Yu Huiwei Lin Xutao Li Yunming Ye Bowen Zhang DiffM 32 42 0 31 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 33 0 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 19 70 0 10 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 34 0 0 04 Jul 2023
Hearing Lips in Noise: Universal Viseme-Phoneme Mapping and Transfer for Robust Audio-Visual Speech Recognition Yuchen Hu Ruizhe Li Cheng Chen Chengwei Qin Qiu-shi Zhu E. Chng 29 5 0 18 Jun 2023
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Y. Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Baoyuan Wu Chun Yuan Dacheng Tao 47 7 0 28 May 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 22 15 0 04 Apr 2023
Few-Shot Classification of Autism Spectrum Disorder using Site-Agnostic Meta-Learning and Brain MRI Nikhil J. Dhinagar Vignesh Santhalingam Katherine E. Lawrence Emily Laltoo Paul M. Thompson 10 3 0 14 Mar 2023
A Survey of Meta-Reinforcement Learning Jacob Beck Risto Vuorio E. Liu Zheng Xiong L. Zintgraf Chelsea Finn Shimon Whiteson OOD OffRL 34 121 0 19 Jan 2023
Robust Meta-Representation Learning via Global Label Inference and Classification Ruohan Wang Isak Falk Massimiliano Pontil C. Ciliberto 33 3 0 22 Dec 2022
Masked Wavelet Representation for Compact Neural Radiance Fields Daniel Rho Byeonghyeon Lee Seungtae Nam J. Lee J. Ko Eunbyung Park 36 52 0 18 Dec 2022
General-Purpose In-Context Learning by Meta-Learning Transformers Louis Kirsch James Harrison Jascha Narain Sohl-Dickstein Luke Metz 29 72 0 08 Dec 2022
Meta-Learning Fast Weight Language Models Kevin Clark Kelvin Guu Ming-Wei Chang Panupong Pasupat Geoffrey E. Hinton Mohammad Norouzi KELM 27 13 0 05 Dec 2022
Adaptive Prototypical Networks Manas Gogoi Sambhavi Tiwari Shekhar Verma 13 2 0 22 Nov 2022
On the Effect of Pre-training for Transformer in Different Modality on Offline Reinforcement Learning S. Takagi OffRL 18 7 0 17 Nov 2022
Cross-Reality Re-Rendering: Manipulating between Digital and Physical Realities Siddhartha Datta 25 0 0 15 Nov 2022
Meta-Learning of Neural State-Space Models Using Data From Similar Systems Ankush Chakrabarty G. Wichern C. Laughman 24 12 0 14 Nov 2022
A new benchmark for group distribution shifts in hand grasp regression for object manipulation. Can meta-learning raise the bar? Théo Morales G. Lacey OOD 19 0 0 31 Oct 2022
Meta-learning Pathologies from Radiology Reports using Variance Aware Prototypical Networks Arijit Sehanobish Kawshik Kannan Nabila Abraham Anasuya Das Benjamin Odry VLM 21 0 0 22 Oct 2022
Surgical Fine-Tuning Improves Adaptation to Distribution Shifts Yoonho Lee Annie S. Chen Fahim Tajwar Ananya Kumar Huaxiu Yao Percy Liang Chelsea Finn OOD 51 197 0 20 Oct 2022
Schedule-Robust Online Continual Learning Ruohan Wang Marco Ciccone Giulia Luise A. Yapp Massimiliano Pontil C. Ciliberto CLL 32 4 0 11 Oct 2022
Multi-Modal Fusion by Meta-Initialization Matthew Jackson Shreshth A. Malik Michael T. Matthews Yousuf Mohamed-Ahmed 24 0 0 10 Oct 2022
Disentangling Transfer in Continual Reinforcement Learning Maciej Wołczyk Michal Zajkac Razvan Pascanu Lukasz Kuciñski Piotr Milo's CLL 60 27 0 28 Sep 2022
MAC: A Meta-Learning Approach for Feature Learning and Recombination S. Tiwari M. Gogoi S. Verma K. P. Singh CLL 29 1 0 20 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying Chen J. Hsieh Ming-Ching Chang 10 0 0 03 Sep 2022
A Game-Theoretic Perspective of Generalization in Reinforcement Learning Chang Yang Ruiyu Wang Xinrun Wang Zhen Wang OffRL 19 3 0 07 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 26 3 0 03 Aug 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 28 10 0 02 Aug 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 41 10 0 06 Jul 2022
Adaptive Fine-Grained Sketch-Based Image Retrieval A. Bhunia Aneeshan Sain Parth Shah Animesh Gupta Pinaki Nath Chowdhury Tao Xiang Yi-Zhe Song 51 21 0 04 Jul 2022
On Enforcing Better Conditioned Meta-Learning for Rapid Few-Shot Adaptation Markus Hiller Mehrtash Harandi Tom Drummond AI4CE 22 8 0 15 Jun 2022
Data-Efficient Brain Connectome Analysis via Multi-Task Meta-Learning Yi Yang Yanqiao Zhu Hejie Cui Xuan Kan Lifang He Ying Guo Carl Yang 28 30 0 09 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 33 9 0 07 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 26 36 0 27 May 2022