OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels

3 March 2025

Papers citing "OCL: Ordinal Contrastive Learning for Imputating Features with Progressive Labels"

11 / 11 papers shown

Title
Learning Disease State from Noisy Ordinal Disease Progression Labels Gustav Schmidt Holger Heidrich Philipp Berens Sarah Muller NoLa 152 0 0 13 Mar 2025
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification Seunghun Baek Injun Choi Mustafa Dere Minjeong Kim Guorong Wu Won Hwa Kim 142 3 0 03 Mar 2025
Learning to Approximate Adaptive Kernel Convolution on Graphs Jaeyoon Sim Sooyeon Jeon Injun Choi Guorong Wu Won Hwa Kim 76 3 0 22 Jan 2024
Understanding the Behaviour of Contrastive Loss Feng Wang Huaping Liu SSL 138 697 0 15 Dec 2020
Supervised Contrastive Learning Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan SSL 222 4,610 0 23 Apr 2020
Missing Data Imputation using Optimal Transport Boris Muzellec Julie Josse Claire Boyer Marco Cuturi OT 78 127 0 10 Feb 2020
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes Razvan Marinescu Arman Eshaghi Daniel C. Alexander Polina Golland MedIm 77 45 0 21 May 2019
GAIN: Missing Data Imputation using Generative Adversarial Nets Jinsung Yoon James Jordon M. Schaar GAN 71 1,036 0 07 Jun 2018
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 608 9,553 0 28 May 2015
Conditional Generative Adversarial Nets M. Berk Mirza Simon Osindero GAN SyDa AI4CE 489 10,459 0 06 Nov 2014
MissForest - nonparametric missing value imputation for mixed-type data D. Stekhoven Peter Buhlmann 290 4,370 0 04 May 2011