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
Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study Alejandro Galán-Cuenca Antonio Javier Gallego Marcelo Saval-Calvo A. Pertusa 32 6 0 18 Jan 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 26 3 0 13 Jan 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 25 1 0 23 Dec 2023
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning Yongjin Yang Taehyeon Kim SeYoung Yun 35 4 0 18 Dec 2023
BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics Jenny Hamer Eleni Triantafillou B. V. Merrienboer Stefan Kahl Holger Klinck Tom Denton Vincent Dumoulin 41 14 0 12 Dec 2023
Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning Haowen Wang Tao Sun Cong Fan Jinjie Gu MoE 16 7 0 06 Dec 2023
Task-Distributionally Robust Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Yongxian Wei Baoyuan Wu Chun Yuan Dacheng Tao OOD 26 0 0 23 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms Young D. Kwon Jagmohan Chauhan Hong Jia Stylianos I. Venieris Cecilia Mascolo 38 11 0 19 Nov 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes Jiayi Shen Xiantong Zhen Qi Qi Wang M. Worring 24 11 0 28 Oct 2023
FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning Kun Song Huimin Ma Bochao Zou Huishuai Zhang Weiran Huang 18 10 0 23 Oct 2023
Are LSTMs Good Few-Shot Learners? Mike Huisman Thomas M. Moerland Aske Plaat Jan N. van Rijn VLM 18 7 0 22 Oct 2023
Unsupervised Representation Learning to Aid Semi-Supervised Meta Learning Atik Faysal Mohammad Rostami Huaxia Wang Avimanyu Sahoo Ryan Antle 19 0 0 19 Oct 2023
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World Rujie Wu Xiaojian Ma Zhenliang Zhang Wei Wang Qing Li Song-Chun Zhu Yizhou Wang LRM VLM 27 7 0 16 Oct 2023
Modularity in Deep Learning: A Survey Haozhe Sun Isabelle Guyon MoMe 32 2 0 02 Oct 2023
A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm Qi Wang Yiqin Lv Yanghe Feng Zheng Xie Jincai Huang 19 9 0 01 Oct 2023
Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback Teresa Yeo Oğuzhan Fatih Kar Zahra Sodagar Amir Zamir TTA OOD 31 3 0 27 Sep 2023
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning Dipam Goswami Yuyang Liu Bartlomiej Twardowski Joost van de Weijer CLL 27 52 0 25 Sep 2023
MVP: Meta Visual Prompt Tuning for Few-Shot Remote Sensing Image Scene Classification Junjie Zhu Yiying Li Chunping Qiu Ke Yang Naiyang Guan Xiaodong Yi 29 6 0 17 Sep 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test Johannes Flotzinger Philipp J. Rösch Norbert Oswald T. Braml 26 0 0 07 Sep 2023
Dual Adversarial Alignment for Realistic Support-Query Shift Few-shot Learning Siyang Jiang Rui Fang Hsi-Wen Chen Wei Ding Ming-Syan Chen 21 1 0 05 Sep 2023
Linear Regression using Heterogeneous Data Batches Ayush Jain Rajat Sen Weihao Kong Abhimanyu Das A. Orlitsky 25 3 0 05 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 34 0 0 04 Sep 2023
Meta-learning in healthcare: A survey Alireza Rafiei Ronald Moore S. Jahromi F. Hajati Rishikesan Kamaleswaran 22 8 0 05 Aug 2023
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation Flor Miriam Plaza del Arco Debora Nozza Dirk Hovy ALM 51 6 0 24 Jul 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 19 8 0 19 Jul 2023
Towards Task Sampler Learning for Meta-Learning Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 30 10 0 18 Jul 2023
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation Mennatullah Siam R. Karim Henghui Zhao Richard P. Wildes VOS 38 2 0 15 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 27 70 0 10 Jul 2023
Proto-CLIP: Vision-Language Prototypical Network for Few-Shot Learning P. JishnuJaykumar Kamalesh Palanisamy Yu-Wei Chao Xinya Du Yu Xiang VLM 23 12 0 06 Jul 2023
Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Luísa Shimabucoro Timothy M. Hospedales Henry Gouk UQCV ELM 22 0 0 06 Jul 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion Yingjun Du Zehao Xiao Tianran Ouyang Cees G. M. Snoek DiffM 26 10 0 26 Jun 2023
Is Pre-training Truly Better Than Meta-Learning? Brando Miranda P. Yu Saumya Goyal Yu-xiong Wang Oluwasanmi Koyejo 44 5 0 24 Jun 2023
Comparing the Efficacy of Fine-Tuning and Meta-Learning for Few-Shot Policy Imitation Massimiliano Patacchiola Mingfei Sun Katja Hofmann Richard Turner OffRL 29 1 0 23 Jun 2023
Neural Fine-Tuning Search for Few-Shot Learning Panagiotis Eustratiadis L. Dudziak Da Li Timothy M. Hospedales 32 3 0 15 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 27 1 0 08 Jun 2023
Transfer learning for atomistic simulations using GNNs and kernel mean embeddings Johannes Falk L. Bonati P. Novelli Michele Parinello Massimiliano Pontil 30 4 0 02 Jun 2023
Stochastic Unrolled Federated Learning Samar Hadou Navid Naderializadeh Alejandro Ribeiro FedML 28 5 0 24 May 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning W. Hu Xiurong Jiang Jiarun Liu Yuqi Yang Hui Tian DiffM 23 7 0 14 May 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn Ondrej Bohdal Yinbing Tian Yongshuo Zong Ruchika Chavhan Da Li Henry Gouk Li Guo Timothy M. Hospedales 40 5 0 12 May 2023
Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models Qiufeng Wang Xu Yang Shuxia Lin Jing Wang Xin Geng 23 10 0 03 May 2023
Investigating Vision Foundational Models for Tactile Representation Learning Ben Zandonati Ruohan Wang Ruihan Gao Yongpeng Wu 39 4 0 30 Apr 2023
Context-enriched molecule representations improve few-shot drug discovery Johannes Schimunek Philipp Seidl Lukas Friedrich Daniel Kuhn F. Rippmann Sepp Hochreiter G. Klambauer 50 26 0 24 Apr 2023
Glocal Energy-based Learning for Few-Shot Open-Set Recognition Haoyu Wang Guansong Pang Peng Wang Lei Zhang Wei Wei Yanning Zhang 19 12 0 24 Apr 2023
SATIN: A Multi-Task Metadataset for Classifying Satellite Imagery using Vision-Language Models Jonathan Roberts Kai Han Samuel Albanie VLM 40 12 0 23 Apr 2023
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 34 0 0 12 Apr 2023
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic Grasping Anas Gouda Moritz Roidl 21 1 0 06 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu S. Feizi VLM 37 28 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 34 15 0 04 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 35 15 0 03 Apr 2023