3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.CY2023★ 5 cited
Open-Sourcing Highly Capable Foundation Models: An evaluation of risks, benefits, and alternative methods for pursuing open-source objectives
Elizabeth Seger, Noemi Dreksler, Richard Moulange +19
Recent decisions by leading AI labs to either open-source their models or to restrict access to their models has sparked debate about whether, and how, increasingly capable AI mode…
cs.LG2023★ 1 cited
Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification
Raunak Joshi, Abhishek Gupta, Himanshu Soni +1
The polycystic ovary syndrome diagnosis is a problem that can be leveraged using prognostication based learning procedures. Many implementations of PCOS can be seen with Machine Le…
cs.NE2016★ 3 cited
Genetic Transfer or Population Diversification? Deciphering the Secret Ingredients of Evolutionary Multitask Optimization
Abhishek Gupta, Yew-Soon Ong
Evolutionary multitasking has recently emerged as a novel paradigm that enables the similarities and/or latent complementarities (if present) between distinct optimization tasks to…