4 papers
Fairness for Text Classification Tasks with Identity Information Data Augmentation Methods
Mohit Wadhwa, Mohan Bhambhani, Ashvini Jindal +2
Counterfactual fairness methods address the question: How would the prediction change if the sensitive identity attributes referenced in the text instance were different? These met…
SSMF: Shifting Seasonal Matrix Factorization
Koki Kawabata, Siddharth Bhatia, Rui Liu +2
Given taxi-ride counts information between departure and destination locations, how can we forecast their future demands? In general, given a data stream of events with seasonal pa…
Directed Graph Representation through Vector Cross Product
Ramanujam Madhavan, Mohit Wadhwa
Graph embedding methods embed the nodes in a graph in low dimensional vector space while preserving graph topology to carry out the downstream tasks such as link prediction, node r…
Fairness-Aware Learning with Prejudice Free Representations
Ramanujam Madhavan, Mohit Wadhwa
Machine learning models are extensively being used to make decisions that have a significant impact on human life. These models are trained over historical data that may contain in…