Towards well-generalizing meta-learning via adversarial task augmentation
Authors:
- Haoqing WangHWHaoqing Wang
- Huiyu MaiHMHuiyu Mai
- Yuhang GongYGYuhang Gong
- Zhi-Hong DengZDZhi-Hong Deng
- 3 February 2023
- journal article
- research article
- Published by Elsevier in Artificial Intelligence
- Vol. 317
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Distributed representations of diseases based on co-occurrence relationshipExpert Systems with Applications, 2021
- Unsupervised Few-Shot Feature Learning via Self-Supervised TrainingFrontiers in Computational Neuroscience, 2020
- EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover ClassificationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
- Quantifying Distributional Model Risk via Optimal TransportMathematics of Operations Research, 2019
- Places: A 10 Million Image Database for Scene RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
- Using Deep Learning for Image-Based Plant Disease DetectionFrontiers in Plant Science, 2016
- Human-level concept learning through probabilistic program inductionScience, 2015
- ImageNet Large Scale Visual Recognition ChallengeInternational Journal of Computer Vision, 2015