2 citations · 2 across the 5 of their papers we have counts for
3 papers · 1 filter
Convolutional Prompting meets Language Models for Continual Learning
Anurag Roy, Riddhiman Moulick, Vinay K. Verma +2
Continual Learning (CL) enables machine learning models to learn from continuously shifting new training data in absence of data from old tasks. Recently, pretrained vision transfo…
Exemplar-Free Continual Transformer with Convolutions
Anurag Roy, Vinay Kumar Verma, Sravan Voonna +3
Continual Learning (CL) involves training a machine learning model in a sequential manner to learn new information while retaining previously learned tasks without the presence of…
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh +1
Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e.g., text) to the m…