Search Results for author:
Found 8 papers, 3 papers with code
Careless Whisper: Speech-to-Text Hallucination Harms
Speech-to-text services aim to transcribe input audio as accurately as possible.
Auditing Cross-Cultural Consistency of Human-Annotated Labels for Recommendation Systems
Recommendation systems increasingly depend on massive human-labeled datasets; however, the human annotators hired to generate these labels increasingly come from homogeneous backgrounds.
Trucks Don't Mean Trump: Diagnosing Human Error in Image Analysis
Algorithms provide powerful tools for detecting and dissecting human bias and error.
Federated Causal Inference in Heterogeneous Observational Data
We are interested in estimating the effect of a treatment applied to individuals at multiple sites, where data is stored locally for each site.
Synthetic Data Generation for Economists
As more tech companies engage in rigorous economic analyses, we are confronted with a data problem: in-house papers cannot be replicated due to use of sensitive, proprietary, or private data.
Alpha-1 adrenergic receptor antagonists to prevent hyperinflammation and death from lower respiratory tract infection
Here, we conducted retrospective analyses in two cohorts of patients with acute respiratory distress (ARD, n=18, 547) and three cohorts with pneumonia (n=400, 907).
Curriculum Learning in Deep Neural Networks for Financial Forecasting
We compare our models' performance to the ensemble model of traditional statistics and machine learning techniques currently used by Microsoft Finance.
Learning Twitter User Sentiments on Climate Change with Limited Labeled Data
While it is well-documented that climate change accepters and deniers have become increasingly polarized in the United States over time, there has been no large-scale examination of whether these individuals are prone to changing their opinions as a result of natural external occurrences.
