ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.09694
  4. Cited By
Alleviating the Incompatibility between Cross Entropy Loss and Episode
  Training for Few-shot Skin Disease Classification

Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification

21 April 2020
Wei-wei Zhu
Haofu Liao
Wenbin Li
Weijian Li
Jiebo Luo
ArXivPDFHTML

Papers citing "Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification"

4 / 4 papers shown
Title
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer
  Learning for Skin Disease Classification in Long-Tail Distribution
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir
H. Keles
Ö. Ö. Tanriöver
36
0
0
25 Apr 2024
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease
  Classification
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification
Li Shuhan
X. Li
Xiaowei Xu
Kwang-Ting Cheng
24
6
0
03 Jul 2022
Unsupervised Representation Learning Meets Pseudo-Label Supervised
  Self-Distillation: A New Approach to Rare Disease Classification
Unsupervised Representation Learning Meets Pseudo-Label Supervised Self-Distillation: A New Approach to Rare Disease Classification
Jinghan Sun
Dong Wei
Kai Ma
Liansheng Wang
Yefeng Zheng
14
8
0
09 Oct 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
314
11,681
0
09 Mar 2017
1