1 citations · 1 across the 1 of their papers we have counts for
3 papers
Domain Generalization via Inference-time Label-Preserving Target Projections
Prashant Pandey, Mrigank Raman, Sumanth Varambally +1
Generalization of machine learning models trained on a set of source domains on unseen target domains with different statistics, is a challenging problem. While many approaches hav…
FROCC: Fast Random projection-based One-Class Classification
Arindam Bhattacharya, Sumanth Varambally, Amitabha Bagchi +1
We present Fast Random projection-based One-Class Classification (FROCC), an extremely efficient method for one-class classification. Our method is based on a simple idea of transf…
Discrepancy Minimization in Domain Generalization with Generative Nearest Neighbors
Prashant Pandey, Mrigank Raman, Sumanth Varambally +1
Domain generalization (DG) deals with the problem of domain shift where a machine learning model trained on multiple-source domains fail to generalize well on a target domain with…