research
∙
04/03/2023
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
Multi-class cell detection and counting is an essential task for many pa...
share
research
∙
03/17/2023
Discovering mesoscopic descriptions of collective movement with neural stochastic modelling
Collective motion is an ubiquitous phenomenon in nature, inspiring engin...
research
∙
02/07/2022
ALM-KD: Knowledge Distillation with noisy labels via adaptive loss mixing
Knowledge distillation is a technique where the outputs of a pretrained ...
research
∙
07/16/2021
ScRAE: Deterministic Regularized Autoencoders with Flexible Priors for Clustering Single-cell Gene Expression Data
Clustering single-cell RNA sequence (scRNA-seq) data poses statistical a...
research
∙
06/12/2021
Contrastive Semi-Supervised Learning for 2D Medical Image Segmentation
Contrastive Learning (CL) is a recent representation learning approach, ...
research
∙
03/01/2021
Domain Generalization via Inference-time Label-Preserving Target Projections
Generalization of machine learning models trained on a set of source dom...
research
∙
10/03/2020
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
In the last few years, compression of deep neural networks has become an...
research
∙
07/28/2020
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
Domain generalization (DG) deals with the problem of domain shift where ...
research
∙
06/15/2020
Skin Segmentation from NIR Images using Unsupervised Domain Adaptation through Generative Latent Search
Segmentation of the pixels corresponding to human skin is an essential f...
research
∙
06/10/2020
To Regularize or Not To Regularize? The Bias Variance Trade-off in Regularized AEs
Regularized Auto-Encoders (AE) form a rich class of methods within the l...
research
∙
05/17/2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
Estimation of information theoretic quantities such as mutual informatio...
research
∙
05/11/2020
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search
Automating the classification of camera-obtained microscopic images of W...
research
∙
12/10/2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models
The field of neural generative models is dominated by the highly success...
research
∙
11/11/2019
Guided weak supervision for action recognition with scarce data to assess skills of children with autism
Diagnostic and intervention methodologies for skill assessment of autism...
research
∙
11/08/2018