66 citations · 101 across the 13 of their papers we have counts for
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cs.LG2026
AutoResearch at Production Scale: Failure Modes and a Multi-Agent Framework
Aparajith Chandran, Juwon Kim, Saurav Jha +2
Optimizing embedding systems for production recommendation pipelines demands systematic exploration that consumes disproportionate engineering effort at scale. We apply Andrej Karp…
cs.LG2022★ 7 cited
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha, Dong Gong, Xuesong Wang +2
The standard approaches to neural network implementation yield powerful function approximation capabilities but are limited in their abilities to learn meta representations and rea…
cs.LG2020★ 11 cited
Continual Learning in Human Activity Recognition: an Empirical Analysis of Regularization
Saurav Jha, Martin Schiemer, Juan Ye
Given the growing trend of continual learning techniques for deep neural networks focusing on the domain of computer vision, there is a need to identify which of these generalizes…