204 citations · 377 across the 14 of their papers we have counts for
16 papers
Source-Free Controlled Adaptation of Teachers for Continual Test-Time Adaptation
Anurag Roy, Riddhiman Moulick, Vinay Kumar Verma +2
In many real-world scenarios, encountering continual shifts in domain during inference is very common. Consequently, continual test-time adaptation (CTTA) techniques leveraging a t…
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…
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity
Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta +1
The dynamic and evolutionary nature of service requirements in wireless networks has motivated the telecom industry to consider intelligent self-adapting Reinforcement Learning (RL…
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Anurag Roy, David Johnson Ekka, Saptarshi Ghosh +1
Generating natural language questions from visual scenes, known as Visual Question Generation (VQG), has been explored in the recent past where large amounts of meticulously labele…
Reinforcement Explanation Learning
Siddhant Agarwal, Owais Iqbal, Sree Aditya Buridi +2
Deep Learning has become overly complicated and has enjoyed stellar success in solving several classical problems like image classification, object detection, etc. Several methods…
Contrast and Mix: Temporal Contrastive Video Domain Adaptation with Background Mixing
Aadarsh Sahoo, Rutav Shah, Rameswar Panda +2
Unsupervised domain adaptation which aims to adapt models trained on a labeled source domain to a completely unlabeled target domain has attracted much attention in recent years. W…