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How to train your MAML

22 October 2018

Antreas Antoniou

Harrison Edwards

Amos Storkey

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Papers citing "How to train your MAML"

50 / 398 papers shown

Title
Vision-Based Hand Gesture Customization from a Single Demonstration Soroush Shahi Cori Tymoszek Park Richard Kang Asaf Liberman Oron Levy Jun Gong Abdelkareem Bedri Gierad Laput 163 5 0 13 Feb 2024
MetaTra: Meta-Learning for Generalized Trajectory Prediction in Unseen Domain Xiaohe Li Feilong Huang Zide Fan Fangli Mou Yingyan Hou Chen Qian Lijie Wen 182 5 0 13 Feb 2024
Distilling Symbolic Priors for Concept Learning into Neural Networks Ioana Marinescu R. Thomas McCoy Thomas Griffiths 171 5 0 10 Feb 2024
Incorporating Exemplar Optimization into Training with Dual Networks for Human Mesh RecoveryNeural Information Processing Systems (NeurIPS), 2024 Yongwei Nie Mingxian Fan Chengjiang Long Qing Zhang Jian Zhu Xuemiao Xu 3DH 190 0 0 25 Jan 2024
Advancing Image Retrieval with Few-Shot Learning and Relevance Feedback Boaz Lerner N. Darshan Rami Ben-Ari 135 1 0 18 Dec 2023
Accelerating Meta-Learning by Sharing Gradients Oscar Chang Hod Lipson 171 1 0 13 Dec 2023
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Qian Qiao Yu Xie Ziyin Zeng Fanzhang Li 174 3 0 09 Dec 2023
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationNeural Information Processing Systems (NeurIPS), 2023 Qiwen Wang Da-Wei Zhou Yi-Kai Zhang De-Chuan Zhan Han-Jia Ye CLL 226 80 0 08 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor H. Loya Łukasz Dudziak Abhinav Mehrotra Royson Lee Javier Fernandez-Marques Nicholas D. Lane Hongkai Wen OOD 179 1 0 30 Nov 2023
Practical cross-sensor color constancy using a dual-mapping strategy Shuwei Yue Minchen Wei 94 0 0 20 Nov 2023
Semantic-aware Video Representation for Few-shot Action RecognitionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yutao Tang Benjamin Bejar René Vidal 261 12 0 10 Nov 2023
When Meta-Learning Meets Online and Continual Learning: A Survey Jaehyeon Son Soochan Lee Gunhee Kim OOD CLL 293 21 0 09 Nov 2023
Exploring Active Learning in Meta-Learning: Enhancing Context Set LabelingEuropean Conference on Computer Vision (ECCV), 2023 Wonho Bae Jing Wang Danica J. Sutherland 239 1 0 06 Nov 2023
Successive Model-Agnostic Meta-Learning for Few-Shot Fault Time Series Prognosis Hai Su Jiajun Hu Songsen Yu AI4TS 171 5 0 04 Nov 2023
Adaptive Meta-Learning-Based KKL Observer Design for Nonlinear Dynamical SystemsEuropean Control Conference (ECC), 2023 Lukas Trommer Halil Yigit Oksuz 120 0 0 30 Oct 2023
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning Matthew Ashman Tommy Rochussen Adrian Weller UQCV BDL 170 2 0 24 Oct 2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Pierre Colombo Victor Pellegrain Malik Boudiaf Victor Storchan Myriam Tami Ismail Ben Ayed C´eline Hudelot Pablo Piantanida 184 8 0 21 Oct 2023
Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Qianyu Guo Huifang Du Xing Jia Shuyong Gao Yan Teng Haofen Wang Wenqiang Zhang MedIm VLM 165 1 0 14 Oct 2023
Subspace Adaptation Prior for Few-Shot LearningMachine-mediated learning (ML), 2023 Mike Huisman Aske Plaat Jan N. van Rijn VLM 178 3 0 13 Oct 2023
Making Scalable Meta Learning PracticalNeural Information Processing Systems (NeurIPS), 2023 Sang Keun Choe Sanket Vaibhav Mehta Hwijeen Ahn Willie Neiswanger Pengtao Xie Emma Strubell Eric Xing 264 20 0 09 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning ParadigmNeural Information Processing Systems (NeurIPS), 2023 Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 223 14 0 01 Oct 2023
When to Learn What: Model-Adaptive Data Augmentation CurriculumIEEE International Conference on Computer Vision (ICCV), 2023 Chengkai Hou Jieyu Zhang Wanrong Zhu 191 21 0 09 Sep 2023
Amortised Inference in Bayesian Neural Networks Tommy Rochussen UQCV BDL 183 0 0 06 Sep 2023
Self-Sampling Meta SAM: Enhancing Few-shot Medical Image Segmentation with Meta-LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Yiming Zhang Tianang Leng Kun Han Xiaohui Xie 260 28 0 31 Aug 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 138 3 0 16 Aug 2023
An Adaptive Approach for Probabilistic Wind Power Forecasting Based on Meta-LearningIEEE Transactions on Sustainable Energy (IEEE Trans. Sustain. Energy), 2023 Zichao Meng Ye Guo Hongbin Sun 93 9 0 15 Aug 2023
Meta-learning in healthcare: A surveySN Computer Science (SCS), 2023 Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 280 16 0 05 Aug 2023
Image Synthesis under Limited Data: A Survey and TaxonomyInternational Journal of Computer Vision (IJCV), 2023 Mengping Yang Zhe Wang 216 16 0 31 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce EdgeInternational Conference on Machine Learning (ICML), 2023 Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 217 20 0 19 Jul 2023
Variational Prediction Alexander A. Alemi Ben Poole BDL 187 2 0 14 Jul 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML Haoyu Ren Xue Li Darko Anicic Thomas Runkler 218 3 0 13 Jul 2023
Writer adaptation for offline text recognition: An exploration of neural network-based methods Tobias van der Werff Maruf A. Dhali Lambert Schomaker 166 1 0 11 Jul 2023
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 200 169 0 10 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning Peng Lan Donglai Chen Chong Xie Keshu Chen Jinyuan He Juntao Zhang Yonghong Chen Yan Xu FedML 212 2 0 29 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 211 0 0 18 Jun 2023
Active Representation Learning for General Task Space with Applications in RoboticsNeural Information Processing Systems (NeurIPS), 2023 Yifang Chen Ying Huang S. Du Kevin Jamieson Guanya Shi SSL 253 3 0 15 Jun 2023
Fast Context Adaptation in Cost-Aware Continual LearningIEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023 Seyyidahmed Lahmer Federico Mason Federico Chiariotti Andrea Zanella 146 3 0 06 Jun 2023
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait RecognitionEuropean Conference on Computer Vision (ECCV), 2023 Huanzhang Dou Pengyi Zhang Wei Su Yunlong Yu Xi Li CVBM 182 49 0 06 Jun 2023
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference TransformationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Shuo Lei Xuchao Zhang Jianfeng He Fanglan Chen Chang-Tien Lu VLM 91 19 0 03 Jun 2023
Zero- and Few-Shot Event Detection via Prompt-Based Meta LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Zhenrui Yue Huimin Zeng Mengfei Lan Heng Ji D. Wang VLM 148 17 0 27 May 2023
Robust Ante-hoc Graph Explainer using Bilevel Optimization Kha-Dinh Luong Mert Kosan A. Silva Ambuj K. Singh 229 6 0 25 May 2023
Modeling rapid language learning by distilling Bayesian priors into artificial neural networksNature Communications (Nat. Commun.), 2023 R. Thomas McCoy Thomas Griffiths BDL 187 20 0 24 May 2023
MetaAdapt: Domain Adaptive Few-Shot Misinformation Detection via Meta LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Zhenrui Yue Huimin Zeng Yang Zhang Lanyu Shang Dong Wang 148 20 0 22 May 2023
Meta-Optimization for Higher Model Generalizability in Single-Image Depth Prediction Cho-Ying Wu Yiqi Zhong Junying Wang Ulrich Neumann MDE 144 6 0 12 May 2023
RECKONING: Reasoning through Dynamic Knowledge EncodingNeural Information Processing Systems (NeurIPS), 2023 Zeming Chen Gail Weiss E. Mitchell Asli Celikyilmaz Antoine Bosselut KELM LRM 255 15 0 10 May 2023
Glocal Energy-based Learning for Few-Shot Open-Set RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 127 21 0 24 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Sang-Hoon Lee Seunghyun Lee B. Song 182 0 0 21 Apr 2023
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph CompletionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023 Linhao Luo Yuan-Fang Li Gholamreza Haffari Shirui Pan BDL 172 38 0 17 Apr 2023
Theoretical Characterization of the Generalization Performance of Overfitted Meta-LearningInternational Conference on Learning Representations (ICLR), 2023 Peizhong Ju Yitao Liang Ness B. Shroff MLT AI4CE 137 4 0 09 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 139 1 0 06 Apr 2023