2020

Towards Backward-Compatible Representation Learning

Abstract We propose a way to learn visual features that are compatible with previously computed ones even when they have different dimensions and are learned via different neural network architectures

Towards Backward-Compatible Representation Learning Read More »

Understanding Cohesion in Writings and Speech ofSchizophrenia Patients

Understanding Cohesion in Writings and Speech of Schizophrenia Patients

Abstract Schizophrenia is one of the mental disorders that impacts a person’s thinking, speech, and actions. It can reduce a person’s ability to process auditory information and make decisions. Analyzing

Understanding Cohesion in Writings and Speech of Schizophrenia Patients Read More »