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Jianning Wang

2 accepted papers

2025

Exploiting Task Relationships in Continual Learning via Transferability-Aware Task Embeddings

NeurIPS 2025poster

Continual learning (CL) has been a critical topic in contemporary deep neural network applications, where higher levels of both forward and backward transfer are desirable for an effective CL performance. Existing CL strategies primarily focus on task models — either by regularizing model updates or…

Cited by 0SourcecodeScholar
2024

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

AAAI 2024technical

Multi-source transfer learning is an effective solution to data scarcity by utilizing multiple source tasks for the learning of the target task. However, access to source data and model details is limited in the era of commercial models, giving rise to the setting of multi-source-free (MSF) transfer…

Cited by 3SourcePDFScholar