1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Choosing the Right Regularizer for Applied ML: Simulation Benchmarks of Popular Scikit-learn Regularization Frameworks
Benjamin S. Knight, Ahsaas Bajaj
This study surveys the historical development of regularization, tracing its evolution from stepwise regression in the 1960s to recent advancements in formal error control, structu…
cs.CL2021
Long Document Summarization in a Low Resource Setting using Pretrained Language Models
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna +7
Abstractive summarization is the task of compressing a long document into a coherent short document while retaining salient information. Modern abstractive summarization methods ar…
cs.IR2019★ 1 cited
RelEmb: A relevance-based application embedding for Mobile App retrieval and categorization
Ahsaas Bajaj, Shubham Krishna, Mukund Rungta +2
Information Retrieval Systems have revolutionized the organization and extraction of Information. In recent years, mobile applications (apps) have become primary tools of collectin…