research
∙
04/21/2023
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs
Data collected from the real world tends to be biased, unbalanced, and a...
share
research
∙
12/13/2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
In consequential decision-making applications, mitigating unwanted biase...
research
∙
11/18/2022
Knowledge Graph Generation From Text
In this work we propose a novel end-to-end multi-stage Knowledge Graph (...
research
∙
08/13/2022
Cloud-Based Real-Time Molecular Screening Platform with MolFormer
With the prospect of automating a number of chemical tasks with high fid...
research
∙
12/21/2020
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge
Image captioning has recently demonstrated impressive progress largely o...
research
∙
12/21/2020
Alleviating Noisy Data in Image Captioning with Cooperative Distillation
Image captioning systems have made substantial progress, largely due to ...
research
∙
11/03/2020
Tabular Transformers for Modeling Multivariate Time Series
Tabular datasets are ubiquitous in data science applications. Given thei...
research
∙
05/07/2020
Learning Implicit Text Generation via Feature Matching
Generative feature matching network (GFMN) is an approach for training i...
research
∙
04/04/2019
Learning Implicit Generative Models by Matching Perceptual Features
Perceptual features (PFs) have been used with great success in tasks suc...
research
∙
02/13/2019
