Curriculum-Based Meta-learning

Author:

Zhang Ji1,Song Jingkuan2,Yao Yazhou3,Gao Lianli1

Affiliation:

1. Center for Future Media, University of Electronic Science and Technology of China, Chengdu, China, China

2. Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen, China, China

3. Nanjing University of Science and Technology, Nanjing, China, China

Funder

Sichuan Science and Technology Program

The Open Project of Zhejiang Lab

National Key Research and Development Program of China

the National Natural Science Foundation of China

Publisher

ACM

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1. Multiple-environment Self-adaptive Network for aerial-view geo-localization;Pattern Recognition;2024-08

2. Dynamic Sampling-Based Meta-Learning Using Multilingual Acoustic Data for Under-Resourced Speech Recognition;IEEE Access;2024

3. Self-Paced Hard Task-Example Mining for Few-Shot Classification;IEEE Transactions on Circuits and Systems for Video Technology;2023-10

4. DETA: Denoised Task Adaptation for Few-Shot Learning;2023 IEEE/CVF International Conference on Computer Vision (ICCV);2023-10-01

5. Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

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