Papers citing 'How to train your MAML'

Title
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextEuropean Conference on Computer Vision (ECCV), 2022 Pinaki Nath Chowdhury Aneeshan Sain A. Bhunia Tao Xiang Yulia Gryaditskaya Yi-Zhe Song 3DV 279 65 0 04 Mar 2022
Exploring hyper-parameter spaces of neuroscience models on high performance computers with Learning to LearnFrontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022 Alper Yegenoglu Anand Subramoney T. Hater Cristian Jimenez-Romero W. Klijn Aarn Pérez Martín Michiel A. van der Vlag Michael Herty A. Morrison Sandra Díaz-Pier 106 8 0 28 Feb 2022
Interpretable Concept-based Prototypical Networks for Few-Shot LearningInternational Conference on Information Photonics (ICIP), 2022 M. Zarei Majid Komeili 114 4 0 27 Feb 2022
Towards Better Meta-Initialization with Task Augmentation for Kindergarten-aged Speech RecognitionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Yunzheng Zhu Ruchao Fan Abeer Alwan CLL 147 5 0 24 Feb 2022
Prospect Pruning: Finding Trainable Weights at Initialization using Meta-GradientsInternational Conference on Learning Representations (ICLR), 2022 Milad Alizadeh Shyam A. Tailor L. Zintgraf Joost R. van Amersfoort Sebastian Farquhar Nicholas D. Lane Y. Gal 239 48 0 16 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 169 9 0 04 Feb 2022
Fully Online Meta-Learning Without Task Boundaries Jathushan Rajasegaran Chesea Finn Sergey Levine CLL 100 4 0 01 Feb 2022
Generalizing to New Physical Systems via Context-Informed Dynamics ModelInternational Conference on Machine Learning (ICML), 2022 Matthieu Kirchmeyer Yuan Yin Jérémie Donà Nicolas Baskiotis A. Rakotomamonjy Patrick Gallinari OOD AI4CE 203 49 0 01 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 670 71 0 01 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual InformationInternational Conference on Machine Learning (ICML), 2022 Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 148 5 0 30 Jan 2022
From data to functa: Your data point is a function and you can treat it like oneInternational Conference on Machine Learning (ICML), 2022 Emilien Dupont Hyunjik Kim S. M. Ali Eslami Danilo Jimenez Rezende Dan Rosenbaum TDI 3DPC 530 182 0 28 Jan 2022
Multi-level Second-order Few-shot LearningIEEE transactions on multimedia (IEEE TMM), 2022 Hongguang Zhang Hongdong Li Piotr Koniusz 149 38 0 15 Jan 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot LearningInternational Conference on Machine Learning (ICML), 2022 A. Zhmoginov Mark Sandler Max Vladymyrov ViT 292 76 0 11 Jan 2022
Delving into Sample Loss Curve to Embrace Noisy and Imbalanced DataAAAI Conference on Artificial Intelligence (AAAI), 2021 Shenwang Jiang Jianan Li Ying Wang Bo Huang Zhang Zhang Tingfa Xu NoLa 126 41 0 30 Dec 2021
Recursive Least-Squares Estimator-Aided Online Learning for Visual TrackingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Jin Gao Yan Lu Xiaojuan Qi Yutong Kou Bing Li Liang Li Shan Yu Weiming Hu 145 3 0 28 Dec 2021
Dynamic Channel Access via Meta-Reinforcement LearningGlobal Communications Conference (GLOBECOM), 2021 Ziyang Lu M. C. Gursoy 109 5 0 24 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot LearningEuropean Conference on Computer Vision (ECCV), 2021 Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 130 14 0 07 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 186 5 0 06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 156 51 0 03 Dec 2021
Online Meta Adaptation for Variable-Rate Learned Image Compression Wei Jiang Wei Wang Songnan Li Shan Liu 114 8 0 16 Nov 2021
Continual Learning via Local Module CompositionNeural Information Processing Systems (NeurIPS), 2021 O. Ostapenko Pau Rodríguez López Massimo Caccia Laurent Charlin KELM CLL 219 81 0 15 Nov 2021
OSSEM: one-shot speaker adaptive speech enhancement using meta learningInterspeech (Interspeech), 2021 Cheng Yu Szu-Wei Fu Tsun-An Hsieh Yu Tsao Mirco Ravanelli VLM 142 6 0 10 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 228 11 0 09 Nov 2021
Meta-Learning to Improve Pre-TrainingNeural Information Processing Systems (NeurIPS), 2021 Aniruddh Raghu Jonathan Lorraine Simon Kornblith Matthew B. A. McDermott David Duvenaud 201 34 0 02 Nov 2021
Few-shot learning with improved local representations via bias rectify moduleIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 63 2 0 01 Nov 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 170 53 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-Man Cheung 115 36 0 27 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 146 2 0 22 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot LearningBritish Machine Vision Conference (BMVC), 2021 Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 250 3 0 21 Oct 2021
Contextual Gradient Scaling for Few-Shot LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021 Sang Hyuk Lee Seunghyun Lee B. Song 123 8 0 20 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 137 39 0 18 Oct 2021
Meta-learning via Language Model In-context Tuning Yanda Chen Ruiqi Zhong Sheng Zha George Karypis He He 470 189 0 15 Oct 2021
On the Convergence Theory for Hessian-Free Bilevel Algorithms Daouda Sow Kaiyi Ji Yingbin Liang 291 36 0 13 Oct 2021
Across-Task Neural Architecture Search via Meta LearningInternational Journal of Machine Learning and Cybernetics (IJMLC), 2021 Jingtao Rong Xinyi Yu Mingyang Zhang L. Ou 175 1 0 12 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2021 Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 145 128 0 08 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 185 30 0 02 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation Jay Patravali Gaurav Mittal Ye Yu Fuxin Li Mei Chen 160 23 0 30 Sep 2021
Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness Zhenyi Wang Tiehang Duan Le Fang Qiuling Suo Mingchen Gao 346 20 0 29 Sep 2021
Learning by Examples Based on Multi-level Optimization Shentong Mo P. Xie 141 0 0 22 Sep 2021
Sign-MAML: Efficient Model-Agnostic Meta-Learning by SignSGD Chen Fan Parikshit Ram Sijia Liu FedML 139 21 0 15 Sep 2021
Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Fangqiu Yi Henghui Ding Guosheng Lin Ruibo Li Changhu Wang Chunhua Shen 220 47 0 13 Sep 2021
Rapid Model Architecture Adaption for Meta-LearningNeural Information Processing Systems (NeurIPS), 2021 Yiren Zhao Xitong Gao Ilia Shumailov Nicolò Fusi Robert D. Mullins 213 6 0 10 Sep 2021
Bootstrapped Meta-LearningInternational Conference on Learning Representations (ICLR), 2021 Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 139 60 0 09 Sep 2021
Few-shot Learning via Dependency Maximization and Instance Discriminant AnalysisInternational Workshop on Machine Learning for Signal Processing (MLSP), 2021 Zejiang Hou S. Kung 75 1 0 07 Sep 2021
Graph-LDA: Graph Structure Priors to Improve the Accuracy in Few-Shot Classification Myriam Bontonou Nicolas Farrugia Vincent Gripon CML 137 0 0 23 Aug 2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization Lu Wen Songan Zhang H. E. Tseng Baljeet Singh Dimitar Filev H. Peng OffRL OnRL 150 1 0 19 Aug 2021
Few-shot Language Coordination by Modeling Theory of Mind Hao Zhu Graham Neubig Yonatan Bisk 172 38 0 12 Jul 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 205 11 0 06 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 198 21 0 02 Jul 2021
Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets Hayeon Lee Eunyoung Hyung Sung Ju Hwang 202 50 0 02 Jul 2021