output
20102026
most citedDirichlet Process Hidden Markov Multiple Change-point Model

54 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2024★ 2 cited

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model

Subhadip Nandi, Neeraj Agrawal

Few-Shot Cross-Domain NER is the process of leveraging knowledge from data-rich source domains to perform entity recognition on data scarce target domains. Most previous state-of-t…

cs.LG2021★ 16 cited

Overcoming limited battery data challenges: A coupled neural network approach

Aniruddh Herle, Janamejaya Channegowda, Dinakar Prabhu

The Electric Vehicle (EV) Industry has seen extraordinary growth in the last few years. This is primarily due to an ever increasing awareness of the detrimental environmental effec…