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
Omni-Training: Bridging Pre-Training and Meta-Training for Few-Shot Learning Yang Shu Zhangjie Cao Jing Gao Jianmin Wang Philip S. Yu Mingsheng Long 32 10 0 14 Oct 2021
Scaling Laws for the Few-Shot Adaptation of Pre-trained Image Classifiers Gabriele Prato Simon Guiroy Ethan Caballero Irina Rish Sarath Chandar VLM 34 11 0 13 Oct 2021
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu Nicholas Roberts M. Khodak Jun Shen Frederic Sala Ameet Talwalkar 15 33 0 12 Oct 2021
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning Sungyong Baik Janghoon Choi Heewon Kim Dohee Cho Jaesik Min Kyoung Mu Lee 13 97 0 08 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 Oct 2021
Exploring the Limits of Large Scale Pre-training Samira Abnar Mostafa Dehghani Behnam Neyshabur Hanie Sedghi AI4CE 60 114 0 05 Oct 2021
An Optimization-Based Meta-Learning Model for MRI Reconstruction with Diverse Dataset Wanyu Bian Yunmei Chen X. Ye Qingchao Zhang 36 26 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 18 19 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 191 18 0 29 Sep 2021
ST-MAML: A Stochastic-Task based Method for Task-Heterogeneous Meta-Learning Zhe Wang J. E. Grigsby Arshdeep Sekhon Yanjun Qi 50 4 0 27 Sep 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 35 28 0 20 Sep 2021
Semi-Supervised Few-Shot Intent Classification and Slot Filling S. Basu Karine lp Kiun Chong Amr Sharaf Alex Fischer Vishal Rohra Michael Amoake Hazem El-Hammamy Ehimwenma Nosakhare Vijay Ramani Benjamin Han VLM 16 6 0 17 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 34 66 0 15 Sep 2021
Online Unsupervised Learning of Visual Representations and Categories Mengye Ren Tyler R. Scott Michael L. Iuzzolino Michael C. Mozer R. Zemel OCL SSL 24 4 0 13 Sep 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 38 58 0 09 Sep 2021
MapRE: An Effective Semantic Mapping Approach for Low-resource Relation Extraction Manqing Dong Chunguang Pan Zhipeng Luo 160 41 0 09 Sep 2021
Federated Reconnaissance: Efficient, Distributed, Class-Incremental Learning S. Hendryx KC DharmaRaj Bradley L. Walls Clayton T. Morrison CLL FedML 18 16 0 01 Sep 2021
A Self-Distillation Embedded Supervised Affinity Attention Model for Few-Shot Segmentation Qi Zhao Binghao Liu Shuchang Lyu Yifan Yang VLM 29 16 0 14 Aug 2021
The Role of Global Labels in Few-Shot Classification and How to Infer Them Ruohan Wang Massimiliano Pontil C. Ciliberto VLM 34 17 0 09 Aug 2021
Impact of Aliasing on Generalization in Deep Convolutional Networks C. N. Vasconcelos Hugo Larochelle Vincent Dumoulin Rob Romijnders Nicolas Le Roux Ross Goroshin OOD 74 33 0 07 Aug 2021
Uniform Sampling over Episode Difficulty Sébastien M. R. Arnold Guneet Singh Dhillon Avinash Ravichandran Stefano Soatto 16 14 0 03 Aug 2021
Bayesian Embeddings for Few-Shot Open World Recognition John Willes James Harrison Ali Harakeh Chelsea Finn Marco Pavone Steven Waslander BDL OffRL 22 18 0 29 Jul 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Reece Walsh Mohamed H. Abdelpakey M. Shehata Mostafa M. Mohamed 3DH 22 21 0 27 Jul 2021
Pointer Value Retrieval: A new benchmark for understanding the limits of neural network generalization Chiyuan Zhang M. Raghu Jon M. Kleinberg Samy Bengio OOD 32 30 0 27 Jul 2021
A Channel Coding Benchmark for Meta-Learning Rui Li Ondrej Bohdal Rajesh K. Mishra Hyeji Kim Da Li Nicholas D. Lane Timothy M. Hospedales 31 9 0 15 Jul 2021
FLEX: Unifying Evaluation for Few-Shot NLP Jonathan Bragg Arman Cohan Kyle Lo Iz Beltagy 205 104 0 15 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Memory Efficient Meta-Learning with Large Images J. Bronskill Daniela Massiceti Massimiliano Patacchiola Katja Hofmann Sebastian Nowozin Richard Turner VLM 19 20 0 02 Jul 2021
Cross-domain Few-shot Learning with Task-specific Adapters Weihong Li Xialei Liu Hakan Bilen OOD 25 113 0 01 Jul 2021
Few-Shot Learning with a Strong Teacher Han-Jia Ye Lu Ming De-Chuan Zhan Wei-Lun Chao 19 49 0 01 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 32 49 0 30 Jun 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 27 2 0 23 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Rogerio Feris Richard J. Radke 30 84 0 14 Jun 2021
Learngene: From Open-World to Your Learning Task Qiufeng Wang Xin Geng Shuxia Lin Shiyu Xia Lei Qi Ning Xu 38 18 0 12 Jun 2021
Attentional Meta-learners for Few-shot Polythetic Classification Ben Day Ramón Viñas Torné Nikola Simidjievski Pietro Lio' 18 0 0 09 Jun 2021
Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation Yingjun Du Nithin Holla Xiantong Zhen Cees G. M. Snoek Ekaterina Shutova 33 9 0 05 Jun 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images Mehdi Cherti J. Jitsev LM&MA 22 23 0 31 May 2021
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift Etienne Bennequin Victor Bouvier Myriam Tami Antoine Toubhans C´eline Hudelot 24 12 0 25 May 2021
True Few-Shot Learning with Language Models Ethan Perez Douwe Kiela Kyunghyun Cho 21 428 0 24 May 2021
Intriguing Properties of Vision Transformers Muzammal Naseer Kanchana Ranasinghe Salman Khan Munawar Hayat F. Khan Ming-Hsuan Yang ViT 265 621 0 21 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 43 117 0 17 May 2021
Learning a Universal Template for Few-shot Dataset Generalization Eleni Triantafillou Hugo Larochelle R. Zemel Vincent Dumoulin 32 92 0 14 May 2021
Meta-Inductive Node Classification across Graphs Zhihao Wen Yuan Fang Zemin Liu 35 34 0 14 May 2021
MetaKernel: Learning Variational Random Features with Limited Labels Yingjun Du Haoliang Sun Xiantong Zhen Jun Xu Yilong Yin Ling Shao Cees G. M. Snoek VLM BDL 10 5 0 08 May 2021
X-METRA-ADA: Cross-lingual Meta-Transfer Learning Adaptation to Natural Language Understanding and Question Answering Meryem M'hamdi Doo Soon Kim Franck Dernoncourt Trung Bui Xiang Ren Jonathan May 22 20 0 20 Apr 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 214 180 0 18 Apr 2021
Embedding Adaptation is Still Needed for Few-Shot Learning Sébastien M. R. Arnold Fei Sha VLM 19 7 0 15 Apr 2021
Few-shot Intent Classification and Slot Filling with Retrieved Examples Dian Yu Luheng He Yuan Zhang Xinya Du Panupong Pasupat Qi Li VLM 23 50 0 12 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 17 3 0 12 Apr 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition Daniela Massiceti L. Zintgraf J. Bronskill Lida Theodorou Matthew Tobias Harris Edward Cutrell C. Morrison Katja Hofmann Simone Stumpf 14 44 0 08 Apr 2021