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
The Missing Link: Finding label relations across datasets J. Uijlings Thomas Mensink V. Ferrari VLM 24 10 0 09 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning Yichen Wu Long-Kai Huang Ying Wei OOD 6 0 0 09 Jun 2022
Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions Huaizu Jiang Xiaojian Ma Weili Nie Zhiding Yu Yuke Zhu Song-Chun Zhu Anima Anandkumar VLM 28 36 0 27 May 2022
Persian Natural Language Inference: A Meta-learning approach Heydar Soudani Mohammadreza Mojab H. Beigy 32 1 0 18 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
Warm-starting DARTS using meta-learning Matej Grobelnik Joaquin Vanschoren AI4CE 27 1 0 12 May 2022
Feature Extractor Stacking for Cross-domain Few-shot Learning Hongyu Wang Eibe Frank Bernhard Pfahringer Michael Mayo G. Holmes 21 4 0 12 May 2022
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling Etienne Bennequin Myriam Tami Antoine Toubhans C´eline Hudelot VLM 11 4 0 10 May 2022
PGADA: Perturbation-Guided Adversarial Alignment for Few-shot Learning Under the Support-Query Shift Siyang Jiang Wei Ding Hsi-Wen Chen Minghai Chen OOD 21 6 0 08 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction Wenlin Chen Austin Tripp José Miguel Hernández-Lobato 22 23 0 05 May 2022
Meta Learning for Natural Language Processing: A Survey Hung-yi Lee Shang-Wen Li Ngoc Thang Vu 54 42 0 03 May 2022
Skill-based Meta-Reinforcement Learning Taewook Nam Shao-Hua Sun Karl Pertsch Sung Ju Hwang Joseph J. Lim OffRL 26 45 0 25 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 23 35 0 24 Apr 2022
Reinforcing Generated Images via Meta-learning for One-Shot Fine-Grained Visual Recognition Satoshi Tsutsui Yanwei Fu David J. Crandall GAN 9 12 0 22 Apr 2022
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks Yizhong Wang Swaroop Mishra Pegah Alipoormolabashi Yeganeh Kordi Amirreza Mirzaei ... Chitta Baral Yejin Choi Noah A. Smith Hannaneh Hajishirzi Daniel Khashabi ELM 32 785 0 16 Apr 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 19 188 0 15 Apr 2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition Tingting Ma Huiqiang Jiang Qianhui Wu T. Zhao Chin-Yew Lin 30 58 0 12 Apr 2022
Canonical Mean Filter for Almost Zero-Shot Multi-Task classification Yong Li Heng Wang Xiang Ye 15 0 0 08 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 31 20 0 07 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain Learning Wei-Hong Li Xialei Liu Hakan Bilen SSL OOD 28 27 0 06 Apr 2022
MetaAudio: A Few-Shot Audio Classification Benchmark Calum Heggan S. Budgett Timothy M. Hospedales Mehrdad Yaghoobi VLM 39 32 0 05 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 30 32 0 25 Mar 2022
Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deepshikha Pandey Qi Yu UQCV 11 10 0 23 Mar 2022
Practical Conditional Neural Processes Via Tractable Dependent Predictions Stratis Markou James Requeima W. Bruinsma Anna Vaughan Richard Turner UQCV AI4CE 25 24 0 16 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 27 157 0 07 Mar 2022
MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts Weixin Liang James Zou OOD 40 82 0 14 Feb 2022
TIML: Task-Informed Meta-Learning for Agriculture Gabriel Tseng Hannah Kerner David Rolnick 19 7 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan V. Oseledets 39 5 0 02 Feb 2022
Advances in MetaDL: AAAI 2021 challenge and workshop Adrian El Baz Isabelle M Guyon Zhengying Liu J. V. Rijn Sébastien Treguer Joaquin Vanschoren 16 7 0 01 Feb 2022
The Effect of Diversity in Meta-Learning Ramnath Kumar T. Deleu Yoshua Bengio 8 13 0 27 Jan 2022
Spectral, Probabilistic, and Deep Metric Learning: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley 52 20 0 23 Jan 2022
Prospective Learning: Principled Extrapolation to the Future Ashwin De Silva Rahul Ramesh Pallavi V. Kulkarni M. Shuler Noah J. Cowan ... Andrei A. Rusu Timothy D. Verstynen Konrad Paul Kording Pratik Chaudhari Joshua T. Vogelstein AI4TS 42 2 0 19 Jan 2022
OmniPrint: A Configurable Printed Character Synthesizer Haozhe Sun Wei-Wei Tu Isabelle M Guyon SyDa 35 7 0 17 Jan 2022
Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer Vinayak Gupta Srikanta J. Bedathur 35 19 0 16 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank D. Wood BDL VLM 44 9 0 13 Jan 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples Orhun Bugra Baran Ramazan Gokberk Cinbics 19 4 0 09 Jan 2022
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation John Lambert Zhuang Liu Ozan Sener James Hays V. Koltun VLM 31 197 0 27 Dec 2021
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Yuan Cheng Ci-Siang Lin Fu-En Yang Yu-Chiang Frank Wang 30 1 0 27 Dec 2021
Does MAML Only Work via Feature Re-use? A Data Centric Perspective Brando Miranda Yu-xiong Wang Oluwasanmi Koyejo 32 4 0 24 Dec 2021
Meta-Learning and Self-Supervised Pretraining for Real World Image Translation Ileana Rugina Rumen Dangovski Mark S. Veillette Pooya Khorrami Brian Cheung Olga Simek M. Soljavcić VLM SSL 25 2 0 22 Dec 2021
Few-shot Learning with Multilingual Language Models Xi Lin Todor Mihaylov Mikel Artetxe Tianlu Wang Shuohui Chen ... Luke Zettlemoyer Zornitsa Kozareva Mona T. Diab Ves Stoyanov Xian Li BDL ELM LRM 64 285 0 20 Dec 2021
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
Long-tail Recognition via Compositional Knowledge Transfer Sarah Parisot P. Esperança Steven G. McDonagh T. Madarász Yongxin Yang Zhenguo Li 20 25 0 13 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 20 7 0 06 Dec 2021
Improving Zero-shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions Bogdan Mazoure Ilya Kostrikov Ofir Nachum Jonathan Tompson OffRL 51 21 0 29 Nov 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling Han Liu Feng Zhang Xiaotong Zhang Siyan Zhao Xianchao Zhang 15 18 0 26 Oct 2021
A Metalearning Approach for Physics-Informed Neural Networks (PINNs): Application to Parameterized PDEs Michael Penwarden Shandian Zhe A. Narayan Robert M. Kirby PINN AI4CE 27 39 0 26 Oct 2021
Meta-Learning with Adjoint Methods Shibo Li Zheng Wang A. Narayan Robert M. Kirby Shandian Zhe 9 4 0 16 Oct 2021