5 citations · 16 across the 5 of their papers we have counts for
5 papers
BiRT: Bio-inspired Replay in Vision Transformers for Continual Learning
Kishaan Jeeveswaran, Prashant Bhat, Bahram Zonooz +1
The ability of deep neural networks to continually learn and adapt to a sequence of tasks has remained challenging due to catastrophic forgetting of previously learned tasks. Human…
Task-Aware Information Routing from Common Representation Space in Lifelong Learning
Prashant Bhat, Bahram Zonooz, Elahe Arani
Intelligent systems deployed in the real world suffer from catastrophic forgetting when exposed to a sequence of tasks. Humans, on the other hand, acquire, consolidate, and transfe…
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
Prashant Bhat, Bahram Zonooz, Elahe Arani
Continual learning (CL) over non-stationary data streams remains one of the long-standing challenges in deep neural networks (DNNs) as they are prone to catastrophic forgetting. CL…
Consistency is the key to further mitigating catastrophic forgetting in continual learning
Prashant Bhat, Bahram Zonooz, Elahe Arani
Deep neural networks struggle to continually learn multiple sequential tasks due to catastrophic forgetting of previously learned tasks. Rehearsal-based methods which explicitly st…
Distill on the Go: Online knowledge distillation in self-supervised learning
Prashant Bhat, Elahe Arani, Bahram Zonooz
Self-supervised learning solves pretext prediction tasks that do not require annotations to learn feature representations. For vision tasks, pretext tasks such as predicting rotati…