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
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 27 26 0 06 Apr 2021
MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition A. Bhunia S. Ghose Amandeep Kumar Pinaki Nath Chowdhury Aneeshan Sain Yi-Zhe Song 36 29 0 05 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning Xiaoyu Lin Meng Ye Yunye Gong G. Buracas Nikoletta Basiou Ajay Divakaran Yi Yao 26 4 0 01 Apr 2021
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan F. Khan VLM 27 67 0 25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 30 84 0 25 Mar 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning Namyeong Kwon Hwidong Na Gabriel Huang Simon Lacoste-Julien 20 7 0 16 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan F. Khan M. Shah 41 108 0 01 Mar 2021
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution Amrith Rajagopal Setlur Oscar Li Virginia Smith 35 13 0 23 Feb 2021
Weak Adaptation Learning -- Addressing Cross-domain Data Insufficiency with Weak Annotator Shichao Xu Lixu Wang Yixuan Wang Qi Zhu 27 15 0 15 Feb 2021
Model-Agnostic Graph Regularization for Few-Shot Learning Ethan Shen Maria Brbic Nicholas Monath Jiaqi Zhai Manzil Zaheer J. Leskovec 11 3 0 14 Feb 2021
Meta-Learning with Neural Tangent Kernels Yufan Zhou Zhenyi Wang Jiayi Xian Changyou Chen Jinhui Xu 14 20 0 07 Feb 2021
Meta-learning with negative learning rates A. Bernacchia 17 17 0 01 Feb 2021
On Data Efficiency of Meta-learning Maruan Al-Shedivat Liam Li Eric P. Xing Ameet Talwalkar FedML 17 23 0 30 Jan 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 115 46 0 29 Jan 2021
Generalising via Meta-Examples for Continual Learning in the Wild Alessia Bertugli Stefano Vincenzi Simone Calderara Andrea Passerini CLL 14 2 0 28 Jan 2021
Multilingual and cross-lingual document classification: A meta-learning approach Niels van der Heijden H. Yannakoudakis Pushkar Mishra Ekaterina Shutova VLM 8 23 0 27 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification Orchid Majumder Avinash Ravichandran Subhransu Maji Alessandro Achille M. Polito Stefano Soatto SSL 21 12 0 26 Jan 2021
Temporal-Relational CrossTransformers for Few-Shot Action Recognition Toby Perrett A. Masullo T. Burghardt Majid Mirmehdi Dima Damen ViT 31 145 0 15 Jan 2021
Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition Xueting Zhang Debin Meng Henry Gouk Timothy M. Hospedales BDL UQCV 27 68 0 08 Jan 2021
Few-Shot Learning with Class Imbalance Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 26 35 0 07 Jan 2021
Transformers in Vision: A Survey Salman Khan Muzammal Naseer Munawar Hayat Syed Waqas Zamir F. Khan M. Shah ViT 227 2,430 0 04 Jan 2021
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier Arkabandhu Chowdhury Mingchao Jiang Swarat Chaudhuri C. Jermaine VLM 23 41 0 03 Jan 2021
Meta Learning Backpropagation And Improving It Louis Kirsch Jürgen Schmidhuber 51 56 0 29 Dec 2020
On Episodes, Prototypical Networks, and Few-shot Learning Steinar Laenen Luca Bertinetto 17 97 0 17 Dec 2020
Variable-Shot Adaptation for Online Meta-Learning Tianhe Yu Xinyang Geng Chelsea Finn Sergey Levine CLL OffRL 17 4 0 14 Dec 2020
Probing Few-Shot Generalization with Attributes Mengye Ren Eleni Triantafillou Kuan-Chieh Jackson Wang James Lucas Jake C. Snell Xaq Pitkow A. Tolias R. Zemel VLM OOD 21 3 0 10 Dec 2020
SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning J. Cai B. Cai S. Shen 27 7 0 03 Dec 2020
Revisiting Unsupervised Meta-Learning via the Characteristics of Few-Shot Tasks Han-Jia Ye Lu Han De-Chuan Zhan OffRL SSL VLM 27 27 0 30 Nov 2020
An Effective Anti-Aliasing Approach for Residual Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Nicolas Le Roux Ross Goroshin SupR 33 32 0 20 Nov 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
Meta-Learning with Adaptive Hyperparameters Sungyong Baik Myungsub Choi Janghoon Choi Heewon Kim Kyoung Mu Lee 23 122 0 31 Oct 2020
Combining Domain-Specific Meta-Learners in the Parameter Space for Cross-Domain Few-Shot Classification Shuman Peng Weilian Song Martin Ester 6 3 0 31 Oct 2020
Online Structured Meta-learning Huaxiu Yao Yingbo Zhou M. Mahdavi Z. Li R. Socher Caiming Xiong 44 28 0 22 Oct 2020
Learning to Learn Variational Semantic Memory Xiantong Zhen Yingjun Du Huan Xiong Qiang Qiu Cees G. M. Snoek Ling Shao SSL BDL VLM DRL 15 34 0 20 Oct 2020
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin Mike Wu Noah D. Goodman SSL 28 64 0 14 Oct 2020
Data Augmentation for Meta-Learning Renkun Ni Micah Goldblum Amr Sharaf Kezhi Kong Tom Goldstein 21 74 0 14 Oct 2020
Addressing the Real-world Class Imbalance Problem in Dermatology W. Weng Jonathan Deaton Vivek Natarajan Gamaleldin F. Elsayed Yuan Liu 21 13 0 09 Oct 2020
A Survey of Deep Meta-Learning Mike Huisman Jan N. van Rijn Aske Plaat 17 329 0 07 Oct 2020
CURI: A Benchmark for Productive Concept Learning Under Uncertainty Ramakrishna Vedantam Arthur Szlam Maximilian Nickel Ari S. Morcos Brenden Lake UQLM LRM 24 25 0 06 Oct 2020
A Simple Framework for Uncertainty in Contrastive Learning Mike Wu Noah D. Goodman UQCV 25 18 0 05 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations Mike Wu Milan Mossé Chengxu Zhuang Daniel L. K. Yamins Noah D. Goodman SSL 36 77 0 05 Oct 2020
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning Weili Nie Zhiding Yu Lei Mao Ankit B. Patel Yuke Zhu Anima Anandkumar VLM LRM 10 75 0 02 Oct 2020
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 29 6 0 01 Oct 2020
Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning Henry Kvinge Zach New Nico Courts J. H. Lee Lauren A. Phillips Court D. Corley Aaron Tuor Andrew Avila Nathan Oken Hodas 12 2 0 23 Sep 2020
Meta-Learning with Sparse Experience Replay for Lifelong Language Learning Nithin Holla Pushkar Mishra H. Yannakoudakis Ekaterina Shutova KELM CLL 16 21 0 10 Sep 2020
Few-Shot Learning with Intra-Class Knowledge Transfer Vivek Roy Yan Xu Yu-xiong Wang Kris M. Kitani Ruslan Salakhutdinov M. Hebert VLM 24 3 0 22 Aug 2020
BOIL: Towards Representation Change for Few-shot Learning Jaehoon Oh Hyungjun Yoo ChangHwan Kim Seyoung Yun 16 9 0 20 Aug 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 22 0 18 Aug 2020
Revisiting Mid-Level Patterns for Cross-Domain Few-Shot Recognition Yixiong Zou Shanghang Zhang Jianpeng Yu Yonghong Tian José M. F. Moura 14 15 0 07 Aug 2020
AiRound and CV-BrCT: Novel Multi-View Datasets for Scene Classification Gabriel L. S. Machado E. Ferreira Keiller Nogueira Hugo Oliveira P. H. T. Gama J. D. Santos 8 21 0 03 Aug 2020