activity
20182026
most citedThe Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

14 citations · 19 across the 4 of their papers we have counts for

collaborators

5 papers

econ.GN2026

Dutch Books for Language Models

Isaiah Andrews, Suproteem Sarkar

People increasingly use language models to support life decisions. Many such decisions involve a probabilistic forecast: How likely is a major life event, a natural disaster, or an…

cs.CL2022★ 14 cited

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

Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar +2

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 applicat…

eess.AS2021★ 4 cited

Parkinsonian Chinese Speech Analysis towards Automatic Classification of Parkinson's Disease

Hao Fang, Chen Gong, Chen Zhang +2

Speech disorders often occur at the early stage of Parkinson's disease (PD). The speech impairments could be indicators of the disorder for early diagnosis, while motor symptoms ar…

cs.LG2020

ML4H Abstract Track 2020

Emily Alsentzer, Matthew B. A. McDermott, Fabian Falck +3

A collection of the accepted abstracts for the Machine Learning for Health (ML4H) workshop at NeurIPS 2020. This index is not complete, as some accepted abstracts chose to opt-out…

stat.ML2018★ 1 cited

Robust Classification of Financial Risk

Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch +1

Algorithms are increasingly common components of high-impact decision-making, and a growing body of literature on adversarial examples in laboratory settings indicates that standar…