Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings

no code implementations • EACL 2021 • Kailash Karthik Saravanakumar, Miguel Ballesteros, Muthu Kumar Chandrasekaran, Kathleen McKeown

We propose a method for online news stream clustering that is a variant of the non-parametric streaming K-means algorithm.

Multi-Modal Emotion Detection with Transfer Learning

no code implementations • 13 Nov 2020 • Amith Ananthram, Kailash Karthik Saravanakumar, Jessica Huynh, Homayoon Beigi

To address these two challenges, we present a multi-modal approach that first transfers learning from related tasks in speech and text to produce robust neural embeddings and then uses these embeddings to train a pLDA classifier that is able to adapt to previously unseen emotions and domains.

Speaker Identification Transfer Learning

The Impossibility Theorem of Machine Fairness -- A Causal Perspective

no code implementations • 12 Jul 2020 • Kailash Karthik Saravanakumar

With the increasing pervasive use of machine learning in social and economic settings, there has been an interest in the notion of machine bias in the AI community.

Fairness