research
∙
07/19/2023
DP-TBART: A Transformer-based Autoregressive Model for Differentially Private Tabular Data Generation
The generation of synthetic tabular data that preserves differential pri...
share
research
∙
05/26/2023
MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies
Autoregressive language models are trained by minimizing the cross-entro...
research
∙
03/30/2023
BloombergGPT: A Large Language Model for Finance
The use of NLP in the realm of financial technology is broad and complex...
research
∙
10/30/2021
Identifying and mitigating bias in algorithms used to manage patients in a pandemic
Numerous COVID-19 clinical decision support systems have been developed....
research
∙
03/02/2021
Dual Reinforcement-Based Specification Generation for Image De-Rendering
Advances in deep learning have led to promising progress in inferring gr...
research
∙
11/21/2018
Improving Grey-Box Fuzzing by Modeling Program Behavior
Grey-box fuzzers such as American Fuzzy Lop (AFL) are popular tools for ...
research
∙
09/11/2018
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
Technical and fundamental analysis are traditional tools used to analyze...
research
∙
08/24/2018
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
Fuzz testing, or "fuzzing," refers to a widely deployed class of techniq...
research
∙
04/21/2017