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Learning Invariant Representations using Inverse Contrastive Loss

Learning Invariant Representations using Inverse Contrastive Loss

AAAI Conference on Artificial Intelligence (AAAI), 2021

16 February 2021

Vishnu Suresh Lokhande

ArXiv (abs)PDF HTML

Papers citing "Learning Invariant Representations using Inverse Contrastive Loss"

5 / 5 papers shown

Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?

Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?

Vishnu Suresh Lokhande

152

0

0

25 Jul 2025

PiRL: Participant-Invariant Representation Learning for Healthcare

PiRL: Participant-Invariant Representation Learning for Healthcare

102

3

0

21 Nov 2022

On the Versatile Uses of Partial Distance Correlation in Deep Learning

On the Versatile Uses of Partial Distance Correlation in Deep LearningEuropean Conference on Computer Vision (ECCV), 2022

Rudrasis Chakraborty

309

39

0

20 Jul 2022

Intrinsic Anomaly Detection for Multi-Variate Time Series

Intrinsic Anomaly Detection for Multi-Variate Time Series

Stephan Rabanser

Tim Januschowski

Oliver Borchert

Michael Bohlke-Schneider

Nicolas Papernot

Valentin Flunkert

154

4

0

29 Jun 2022

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing
Pooled Neuroimaging Datasets

Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging DatasetsComputer Vision and Pattern Recognition (CVPR), 2022

Vishnu Suresh Lokhande

Rudrasis Chakraborty

151

6

0

29 Mar 2022