Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

7 March 2019

Pierre-Antoine Manzagol

Hugo Larochelle

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Papers citing "Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples"

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Title
Meta-Learning with Context-Agnostic Initialisations Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen CLL 14 2 0 29 Jul 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Meta-learning for Few-shot Natural Language Processing: A Survey Wenpeng Yin 18 77 0 19 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 15 22 0 17 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 34 3 0 17 Jul 2020
Adaptive Task Sampling for Meta-Learning Chenghao Liu Zhihao Wang Doyen Sahoo Yuan Fang Anton van den Hengel S. Hoi 25 54 0 17 Jul 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 13 154 0 16 Jul 2020
Concept Learners for Few-Shot Learning Kaidi Cao Maria Brbic J. Leskovec VLM OffRL 24 4 0 14 Jul 2020
Meta-Learning Requires Meta-Augmentation Janarthanan Rajendran A. Irpan Eric Jang 21 93 0 10 Jul 2020
Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization Yunho Jeon Yongseok Choi Jaesun Park Subin Yi D.-Y. Cho Jiwon Kim 9 6 0 10 Jul 2020
Few-Shot One-Class Classification via Meta-Learning A. Frikha Denis Krompass Hans-Georg Koepken Volker Tresp 15 56 0 08 Jul 2020
FLUID: A Unified Evaluation Framework for Flexible Sequential Data Matthew Wallingford Aditya Kusupati Keivan Alizadeh Vahid Aaron Walsman Aniruddha Kembhavi Ali Farhadi 17 2 0 06 Jul 2020
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs Meng Qu Tianyu Gao Louis-Pascal Xhonneux Jian Tang BDL 21 106 0 05 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 22 4 0 02 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification Carlos Medina A. Devos Matthias Grossglauser SSL 26 50 0 19 Jun 2020
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Lin Ladislau Bölöni 12 34 0 18 Jun 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 31 91 0 17 Jun 2020
Robust Meta-learning for Mixed Linear Regression with Small Batches Weihao Kong Raghav Somani Sham Kakade Sewoong Oh OOD 10 35 0 17 Jun 2020
Enhancing Few-Shot Image Classification with Unlabelled Examples Peyman Bateni Jarred Barber Jan-Willem van de Meent Frank D. Wood VLM SSL 37 55 0 17 Jun 2020
Graph Meta Learning via Local Subgraphs Kexin Huang Marinka Zitnik 36 161 0 14 Jun 2020
Attentive Feature Reuse for Multi Task Meta learning Kiran Lekkala Laurent Itti OOD 19 7 0 12 Jun 2020
Interpretable Time-series Classification on Few-shot Samples Wensi Tang Lu Liu Guodong Long AI4TS 6 20 0 03 Jun 2020
Learning to Learn to Disambiguate: Meta-Learning for Few-Shot Word Sense Disambiguation Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova 18 28 0 29 Apr 2020
Learning to Classify Intents and Slot Labels Given a Handful of Examples Jason Krone Yi Zhang Mona T. Diab VLM 23 46 0 22 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 34 17 0 21 Apr 2020
Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury Dipak Chaudhari Swarat Chaudhuri C. Jermaine 20 5 0 17 Apr 2020
A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Huimin Peng VLM OffRL 14 35 0 17 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 178 24 0 20 Mar 2020
Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction Cuong C. Nguyen Constantine Kreatsoulas K. Branson AI4CE 14 14 0 12 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 175 342 0 09 Mar 2020
TaskNorm: Rethinking Batch Normalization for Meta-Learning J. Bronskill Jonathan Gordon James Requeima Sebastian Nowozin Richard Turner 71 89 0 06 Mar 2020
Meta-SVDD: Probabilistic Meta-Learning for One-Class Classification in Cancer Histology Images Jevgenij Gamper Brandon Chan Yee Wah Tsang David R. J. Snead Nasir M. Rajpoot VLM OOD 11 6 0 06 Mar 2020
LEEP: A New Measure to Evaluate Transferability of Learned Representations Cuong V Nguyen Tal Hassner Matthias Seeger Cédric Archambeau 28 213 0 27 Feb 2020
Meta-Learned Confidence for Few-shot Learning Seong Min Kye Haebeom Lee Hoirin Kim Sung Ju Hwang 6 23 0 27 Feb 2020
Using a thousand optimization tasks to learn hyperparameter search strategies Luke Metz Niru Maheswaranathan Ruoxi Sun C. Freeman Ben Poole Jascha Narain Sohl-Dickstein 20 45 0 27 Feb 2020
Meta-learning for mixed linear regression Weihao Kong Raghav Somani Zhao-quan Song Sham Kakade Sewoong Oh 27 65 0 20 Feb 2020
Task-Robust Model-Agnostic Meta-Learning Liam Collins Aryan Mokhtari Sanjay Shakkottai OOD 11 13 0 12 Feb 2020
Revisiting Meta-Learning as Supervised Learning Wei-Lun Chao Han-Jia Ye De-Chuan Zhan M. Campbell Kilian Q. Weinberger OOD FedML 27 22 0 03 Feb 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 386 0 23 Jan 2020
Optimized Generic Feature Learning for Few-shot Classification across Domains Tonmoy Saikia Thomas Brox Cordelia Schmid VLM 22 48 0 22 Jan 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip H. S. Torr Piotr Koniusz ViT 38 3 0 06 Jan 2020
A Broader Study of Cross-Domain Few-Shot Learning Yunhui Guo Noel Codella Leonid Karlinsky James V. Codella John R. Smith Kate Saenko Tajana Simunic Rogerio Feris 31 45 0 16 Dec 2019
Improved Few-Shot Visual Classification Peyman Bateni Raghav Goyal Vaden Masrani Frank D. Wood Leonid Sigal VLM 11 228 0 07 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances Michael Tschannen Josip Djolonga Marvin Ritter Aravindh Mahendran Xiaohua Zhai N. Houlsby Sylvain Gelly Mario Lucic SSL 18 61 0 05 Dec 2019
Prototype Rectification for Few-Shot Learning Jinlu Liu Liang Song Yongqiang Qin 23 242 0 25 Nov 2019
Defensive Few-shot Learning Wenbin Li Lei Wang Xingxing Zhang Lei Qi Jing Huo Yang Gao Jiebo Luo 28 7 0 16 Nov 2019
Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks Trapit Bansal Rishikesh Jha Andrew McCallum SSL 13 118 0 10 Nov 2019
Learning to reinforcement learn for Neural Architecture Search J. Gomez Joaquin Vanschoren 11 8 0 09 Nov 2019