Search Results for author: Suproteem K. Sarkar

Found 3 papers, 1 papers with code

The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

1 code implementation NeurIPS 2023 Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, Stuart M. Shieber

Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications.

Binary Classification Language Modelling +1

ML4H Abstract Track 2020

no code implementations19 Nov 2020 Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck, Suproteem K. Sarkar, Subhrajit Roy, Stephanie L. Hyland

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2020.

BIG-bench Machine Learning

Robust Classification of Financial Risk

no code implementations27 Nov 2018 Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer

To the best of our knowledge, this is the first study of adversarial attacks and defenses for deep learning in financial services.

BIG-bench Machine Learning Classification +3

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