14 citations · 20 across the 7 of their papers we have counts for
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cs.CV2021★ 14 cited
A Mathematical Analysis of Learning Loss for Active Learning in Regression
Megh Shukla, Shuaib Ahmed
Active learning continues to remain significant in the industry since it is data efficient. Not only is it cost effective on a constrained budget, continuous refinement of the mode…
cs.CV2021★ 1 cited
Bayesian Uncertainty and Expected Gradient Length -- Regression: Two Sides Of The Same Coin?
Megh Shukla
Active learning algorithms select a subset of data for annotation to maximize the model performance on a budget. One such algorithm is Expected Gradient Length, which as the name s…