Few-Shot Learning of Compact Models via Task-Specific Meta Distillation-Reference-Cited by-同舟云学术

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Few-Shot Learning of Compact Models via Task-Specific Meta Distillation

Published:2023-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
language:
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Author:

Wu Yong¹,Chanda Shekhor²,Hosseinzadeh Mehrdad³,Liu Zhi¹,Wang Yang⁴

Affiliation:

1. Shanghai University

2. University of Manitoba

3. Huawei Technologies Canada

4. Concordia University

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030996.pdf?arnumber=10030996

Reference54 articles.

1. Few-shot learning with metric-agnostic conditional embeddings;hilliard,2018

2. Like what you like: Knowledge distill via neuron selectivity transfer;huang,2017

3. Distilling the knowledge in a neural network;hinton,2015

4. Meta-dmoe: Adapting to domain shift by meta-distillation from mixture-of-experts;zhong;Neural Information Processing System,2022

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2. Visually Guided Audio Source Separation with Meta Consistency Learning;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. An Overview of Few-Shot Learning Methods in Analysis of Histopathological Images;Intelligent Systems Reference Library;2023

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