Efficient Expansion and Gradient Based Task Inference for Replay Free Incremental Learning

no code implementations • 2 Dec 2023 • Soumya Roy, Vinay K Verma, Deepak Gupta

Our work proposes a simple filter and channel expansion based method that grows the model over the previous task parameters and not just over the global parameter.

Class Incremental Learning Incremental Learning +1

Meta-Learned Attribute Self-Interaction Network for Continual and Generalized Zero-Shot Learning

no code implementations • 2 Dec 2023 • Vinay K Verma, Nikhil Mehta, Kevin J Liang, Aakansha Mishra, Lawrence Carin

Zero-shot learning (ZSL) is a promising approach to generalizing a model to categories unseen during training by leveraging class attributes, but challenges remain.

Attribute Generalized Zero-Shot Learning +1

Continual Learning using a Bayesian Nonparametric Dictionary of Weight Factors

no code implementations • 21 Apr 2020 • Nikhil Mehta, Kevin J Liang, Vinay K Verma, Lawrence Carin

Naively trained neural networks tend to experience catastrophic forgetting in sequential task settings, where data from previous tasks are unavailable.

Continual Learning Transfer Learning