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. 2210.09452
  4. Cited By
Multiple Instance Learning via Iterative Self-Paced Supervised
  Contrastive Learning

Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning

17 October 2022
Kangning Liu
Weicheng Zhu
Yiqiu Shen
Sheng Liu
N. Razavian
Krzysztof J. Geras
C. Fernandez‐Granda
    SSL
ArXivPDFHTML

Papers citing "Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning"

19 / 19 papers shown
Title
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
SimMIL: A Universal Weakly Supervised Pre-Training Framework for Multi-Instance Learning in Whole Slide Pathology Images
Yicheng Song
Tiancheng Lin
Die Peng
Su Yang
Yi Xu
MedIm
18
0
0
10 May 2025
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Self-Supervision Enhances Instance-based Multiple Instance Learning Methods in Digital Pathology: A Benchmark Study
Ali Mammadov
Loic Le Folgoc
Julien Adam
Anne Buronfosse
Gilles Hayem
Guillaume Hocquet
Pietro Gori
SSL
33
0
0
02 May 2025
Spatial Context-Driven Positive Pair Sampling for Enhanced Histopathology Image Classification
Willmer Rafell Quinones Robles
Sakonporn Noree
Y. Ko
Bryan Wong
JongWoo Kim
Mun Yi
42
0
0
07 Mar 2025
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
RankByGene: Gene-Guided Histopathology Representation Learning Through Cross-Modal Ranking Consistency
Wentao Huang
Meilong Xu
Xiaoling Hu
Shahira Abousamra
Aniruddha Ganguly
...
Prateek Prasanna
Tahsin M. Kurc
Joel H. Saltz
Michael L. Miller
C. L. P. Chen
78
0
0
22 Nov 2024
Hard Negative Sample Mining for Whole Slide Image Classification
Hard Negative Sample Mining for Whole Slide Image Classification
Wentao Huang
Xiaoling Hu
Shahira Abousamra
Prateek Prasanna
Chao Chen
VLM
28
5
0
03 Oct 2024
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance
  Learning for Whole Slide Image Classification
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
Wenhui Zhu
Xiwen Chen
Peijie Qiu
Aristeidis Sotiras
Abolfazl Razi
Yalin Wang
27
5
0
04 Jul 2024
NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level
  Multi-Class Classification in Whole-Slide Images
NearbyPatchCL: Leveraging Nearby Patches for Self-Supervised Patch-Level Multi-Class Classification in Whole-Slide Images
Gia-Bao Le
Van-Tien Nguyen
Trung-Truc Huynh-Le
Minh-Triet Tran
14
0
0
12 Dec 2023
Rethinking Multiple Instance Learning for Whole Slide Image
  Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Bag-Level Classifier is a Good Instance-Level Teacher
Hongyi Wang
Luyang Luo
Fang Wang
Ruofeng Tong
Yen-Wei Chen
Hongjie Hu
Lanfen Lin
Hao Chen
VLM
19
4
0
02 Dec 2023
Making Self-supervised Learning Robust to Spurious Correlation via
  Learning-speed Aware Sampling
Making Self-supervised Learning Robust to Spurious Correlation via Learning-speed Aware Sampling
Weicheng Zhu
Sheng Liu
C. Fernandez‐Granda
N. Razavian
33
1
0
27 Nov 2023
A Unified Approach to Count-Based Weakly-Supervised Learning
A Unified Approach to Count-Based Weakly-Supervised Learning
Vinay Shukla
Zhe Zeng
Kareem Ahmed
Guy Van den Broeck
SSL
38
4
0
22 Nov 2023
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data
  Augmentation for Whole Slide Image Classification
MixUp-MIL: A Study on Linear & Multilinear Interpolation-Based Data Augmentation for Whole Slide Image Classification
M. Gadermayr
Lukas Koller
M. Tschuchnig
Lea Maria Stangassinger
Christina Kreutzer
S. Couillard-Després
G. Oostingh
Anton Hittmair
14
0
0
06 Nov 2023
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised
  Attention Multiple Instance Learning
Detecting Heart Disease from Multi-View Ultrasound Images via Supervised Attention Multiple Instance Learning
Zhe Huang
B. Wessler
M. C. Hughes
9
3
0
25 May 2023
Iteratively Coupled Multiple Instance Learning from Instance to Bag
  Classifier for Whole Slide Image Classification
Iteratively Coupled Multiple Instance Learning from Instance to Bag Classifier for Whole Slide Image Classification
Hongyi Wang
Luyang Luo
Fang Wang
Ruofeng Tong
Yen-Wei Chen
Hongjie Hu
Lanfen Lin
Hao Chen
VLM
16
7
0
28 Mar 2023
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced
  Classification in Pathology
SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology
Dinkar Juyal
S. Shingi
Syed Ashar Javed
Harshith Padigela
Chintan Shah
Anand Sampat
Archit Khosla
J. Abel
A. Taylor-Weiner
17
6
0
23 Mar 2023
Multiple Instance Learning for Digital Pathology: A Review on the
  State-of-the-Art, Limitations & Future Potential
Multiple Instance Learning for Digital Pathology: A Review on the State-of-the-Art, Limitations & Future Potential
M. Gadermayr
M. Tschuchnig
11
57
0
09 Jun 2022
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo
  Labeling
FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling
Bowen Zhang
Yidong Wang
Wenxin Hou
Hao Wu
Jindong Wang
Manabu Okumura
T. Shinozaki
AAML
204
848
0
15 Oct 2021
Self supervised learning improves dMMR/MSI detection from histology
  slides across multiple cancers
Self supervised learning improves dMMR/MSI detection from histology slides across multiple cancers
C. Saillard
Olivier Dehaene
Tanguy Marchand
O. Moindrot
A. Kamoun
B. Schmauch
S. Jégou
26
38
0
13 Sep 2021
With a Little Help from My Friends: Nearest-Neighbor Contrastive
  Learning of Visual Representations
With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations
Debidatta Dwibedi
Y. Aytar
Jonathan Tompson
P. Sermanet
Andrew Zisserman
SSL
183
382
0
29 Apr 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
283
5,723
0
29 Apr 2021
1