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Difficulty-aware Meta-learning for Rare Disease Diagnosis
v1v2 (latest)

Difficulty-aware Meta-learning for Rare Disease Diagnosis

30 June 2019
Xuelong Li
Lequan Yu
Yueming Jin
Chi-Wing Fu
Lei Xing
Pheng-Ann Heng
ArXiv (abs)PDFHTML

Papers citing "Difficulty-aware Meta-learning for Rare Disease Diagnosis"

24 / 24 papers shown
Title
Conformal Prediction for Zero-Shot Models
Conformal Prediction for Zero-Shot Models
Julio Silva-Rodríguez
Ismail Ben Ayed
Jose Dolz
VLM
40
0
0
30 May 2025
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver
  Diseases Detection
Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection
Peng Huang
Shu Hu
Bo Peng
Jiashu Zhang
Xi Wu
Xin Wang
89
6
0
25 Jun 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
91
2
0
11 May 2024
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
83
0
0
25 Apr 2024
Improving Generalization via Meta-Learning on Hard Samples
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain
A. Suggala
Pradeep Shenoy
OODOffRL
79
2
0
18 Mar 2024
Multi-task Explainable Skin Lesion Classification
Multi-task Explainable Skin Lesion Classification
Mahapara Khurshid
Mayank Vatsa
Richa Singh
58
1
0
11 Oct 2023
Joint Salient Object Detection and Camouflaged Object Detection via
  Uncertainty-aware Learning
Joint Salient Object Detection and Camouflaged Object Detection via Uncertainty-aware Learning
Aixuan Li
Jing Zhang
Yun-Qiu Lv
Tong Zhang
Yiran Zhong
Mingyi He
Yuchao Dai
72
2
0
10 Jul 2023
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
FreeEagle: Detecting Complex Neural Trojans in Data-Free Cases
Chong Fu
Xuhong Zhang
S. Ji
Ting Wang
Peng Lin
Yanghe Feng
Jianwei Yin
AAML
66
10
0
28 Feb 2023
Predicting Brain Multigraph Population From a Single Graph Template for
  Boosting One-Shot Classification
Predicting Brain Multigraph Population From a Single Graph Template for Boosting One-Shot Classification
Furkan Pala
I. Rekik
104
2
0
13 Sep 2022
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New
  Benchmark Study
Long-Tailed Classification of Thorax Diseases on Chest X-Ray: A New Benchmark Study
G. Holste
Song Wang
Ziyu Jiang
Thomas C. Shen
George Shih
Ronald M. Summers
Yifan Peng
Zhangyang Wang
LM&MA
91
39
0
29 Aug 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease
  Classification
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification
Li Shuhan
Xuelong Li
Xiaowei Xu
Kwang-Ting Cheng
76
6
0
03 Jul 2022
Learning to generate imaginary tasks for improving generalization in
  meta-learning
Learning to generate imaginary tasks for improving generalization in meta-learning
Yichen Wu
Long-Kai Huang
Ying Wei
OOD
32
0
0
09 Jun 2022
Interval Bound Interpolation for Few-shot Learning with Few Tasks
Interval Bound Interpolation for Few-shot Learning with Few Tasks
Shounak Datta
S. S. Mullick
A. Chakrabarty
Swagatam Das
77
3
0
07 Apr 2022
Feature-context driven Federated Meta-Learning for Rare Disease
  Prediction
Feature-context driven Federated Meta-Learning for Rare Disease Prediction
Bingyang Chen
Tao Chen
Xingjie Zeng
Weishan Zhang
Qinghua Lu
Zhaoxiang Hou
Jiehan Zhou
A. Helal
FedML
60
1
0
29 Dec 2021
Meta-learning with an Adaptive Task Scheduler
Meta-learning with an Adaptive Task Scheduler
Huaxiu Yao
Yu Wang
Ying Wei
P. Zhao
M. Mahdavi
Defu Lian
Chelsea Finn
OOD
84
48
0
26 Oct 2021
A Unified Framework for Generalized Low-Shot Medical Image Segmentation
  with Scarce Data
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data
H. Cui
Dong Wei
Kai Ma
Shi Gu
Yefeng Zheng
62
39
0
18 Oct 2021
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
70
8
0
09 Oct 2021
One Representative-Shot Learning Using a Population-Driven Template with
  Application to Brain Connectivity Classification and Evolution Prediction
One Representative-Shot Learning Using a Population-Driven Template with Application to Brain Connectivity Classification and Evolution Prediction
Umut Guvercin
Mohammed Amine Gharsallaoui
I. Rekik
45
6
0
06 Oct 2021
A Few-shot Learning Graph Multi-Trajectory Evolution Network for
  Forecasting Multimodal Baby Connectivity Development from a Baseline
  Timepoint
A Few-shot Learning Graph Multi-Trajectory Evolution Network for Forecasting Multimodal Baby Connectivity Development from a Baseline Timepoint
Alaa Bessadok
Ahmed Nebli
Mohamed Ali Mahjoub
Gang Li
Weili Lin
Dinggang Shen
I. Rekik
66
3
0
06 Oct 2021
Semi-supervised Meta-learning with Disentanglement for
  Domain-generalised Medical Image Segmentation
Semi-supervised Meta-learning with Disentanglement for Domain-generalised Medical Image Segmentation
Xiao Liu
Spyridon Thermos
Alison Q. OÑeil
Sotirios A. Tsaftaris
OOD
100
50
0
24 Jun 2021
Meta-Learning with Fewer Tasks through Task Interpolation
Meta-Learning with Fewer Tasks through Task Interpolation
Huaxiu Yao
Linjun Zhang
Chelsea Finn
114
56
0
04 Jun 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Daniela Massiceti
L. Zintgraf
J. Bronskill
Lida Theodorou
Matthew Tobias Harris
Edward Cutrell
C. Morrison
Katja Hofmann
Simone Stumpf
191
45
0
08 Apr 2021
Semi Supervised Learning For Few-shot Audio Classification By Episodic
  Triplet Mining
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining
Swapnil Bhosale
Rupayan Chakraborty
Sunil Kumar Kopparapu
18
4
0
16 Feb 2021
Addressing the Real-world Class Imbalance Problem in Dermatology
Addressing the Real-world Class Imbalance Problem in Dermatology
W. Weng
Jonathan Deaton
Vivek Natarajan
Gamaleldin F. Elsayed
Yuan Liu
62
14
0
09 Oct 2020
1