all AI news
ProtoBandit: Efficient Prototype Selection via Multi-Armed Bandits. (arXiv:2210.01860v2 [cs.LG] UPDATED)
Oct. 11, 2022, 1:15 a.m. | Arghya Roy Chaudhuri, Pratik Jawanpuria, Bamdev Mishra
cs.LG updates on arXiv.org arxiv.org
In this work, we propose a multi-armed bandit based framework for identifying
a compact set of informative data instances (i.e., the prototypes) that best
represents a given target set. Prototypical examples of a given dataset offer
interpretable insights into the underlying data distribution and assist in
example-based reasoning, thereby influencing every sphere of human decision
making. A key challenge is the large-scale setting, in which similarity
comparison between pairs of data points needs to be done for almost all
possible …
More from arxiv.org / cs.LG updates on arXiv.org
Testing the Segment Anything Model on radiology data
1 day, 21 hours ago |
arxiv.org
Calorimeter shower superresolution
1 day, 21 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US