research
∙
05/11/2023
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Continuous-time models such as Neural ODEs and Neural Flows have shown p...
share
research
∙
02/14/2023
A Review of the Role of Causality in Developing Trustworthy AI Systems
State-of-the-art AI models largely lack an understanding of the cause-ef...
research
∙
01/11/2023
SensePOLAR: Word sense aware interpretability for pre-trained contextual word embeddings
Adding interpretability to word embeddings represents an area of active ...
research
∙
12/29/2022
Properties of Group Fairness Metrics for Rankings
In recent years, several metrics have been developed for evaluating grou...
research
∙
09/13/2022
Adversarial Inter-Group Link Injection Degrades the Fairness of Graph Neural Networks
We present evidence for the existence and effectiveness of adversarial a...
research
∙
08/01/2022
GetFair: Generalized Fairness Tuning of Classification Models
We present GetFair, a novel framework for tuning fairness of classificat...
research
∙
09/02/2021
Integrated Directional Gradients: Feature Interaction Attribution for Neural NLP Models
In this paper, we introduce Integrated Directional Gradients (IDG), a me...
research
∙
01/27/2020
The Effects of Gender Signals and Performance in Online Product Reviews
This work quantifies the effects of signaling and performing gender on t...
research
∙
01/27/2020
The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings
We introduce POLAR - a framework that adds interpretability to pre-train...
research
∙
06/11/2019
StRE: Self Attentive Edit Quality Prediction in Wikipedia
Wikipedia can easily be justified as a behemoth, considering the sheer v...
research
∙
05/02/2017
