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Abhinab Acharya

2 accepted papers

2026

Mixing Expertise with Confidence: A Mixture of Expert Framework for Robust Multi-Modal Continual Learner

ICML 2026poster

The Mixture of Experts (MoE) framework is widely used in continual learning to mitigate catastrophic forgetting. MoEs typically combine a small inter-task shared parameter space with largely independent expert parameters. However, as the number of tasks increases, the shared space becomes a bottlene…

Cited by 0SourceScholar
2024

Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection

ICML 2024poster

Subset or core-set selection offers a data-efficient way for training deep learning models. One-shot subset selection poses additional challenges as subset selection is only performed once and full set data become unavailable after the selection. However, most existing methods tend to choose either…

Cited by 1SourcePDFScholar