Ankur GuptaSummary: Learning to Prompt for Continual LearningClass incremental learning or continual learning is when we want our system to learn a new set of classes without forgetting any prior…Jun 26, 2022Jun 26, 2022
Ankur GuptaSummary: Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear…Class incremental learning or continual learning is when we want our system to learn a new set of classes without forgetting any prior…Jun 24, 2022Jun 24, 2022
Ankur GuptaSummary: MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental LearningClass incremental learning or continual learning is referred to where we want our system to learn a new set of classes without forgetting…Jun 19, 2022Jun 19, 2022
Ankur GuptaSummary: Few-Shot Object Detection with Fully Cross-TransformerObject detection typically requires a large amount of label data and deep CNN[3] architecture which process the labeled data to learn the…Jun 18, 20221Jun 18, 20221
Ankur GuptaSummary: Meta-attention for ViT-backed Continual LearningA general-purpose AI system requires gathering new knowledge when presented with a completely new unseen task. However, the present systems…Jun 8, 20221Jun 8, 20221
Ankur GuptaSummary: DyTox: Transformers for Continual Learning with DYnamic TOken eXpansionClass incremental learning or continual learning is referred to where we want our system to learn a new set of classes without forgetting…Jun 2, 2022Jun 2, 2022
Ankur GuptaSummary: Class-incremental Learning via Deep Model ConsolidationClass incremental learning or continual learning is referred to where we want our system to learn a new set of classes without forgetting…May 28, 2022May 28, 2022
Ankur GuptaSummary: Constrained Few-shot Class-incremental Learningmeta-learning, continual learning, prototypical networkMay 15, 2022May 15, 2022