13 citations · 16 across the 7 of their papers we have counts for
6 papers · 1 filter
A Hitchhiker's Guide On Distributed Training of Deep Neural Networks
Karanbir Chahal, Manraj Singh Grover, Kuntal Dey
Deep learning has led to tremendous advancements in the field of Artificial Intelligence. One caveat however is the substantial amount of compute needed to train these deep learnin…
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind +15
Fairness is an increasingly important concern as machine learning models are used to support decision making in high-stakes applications such as mortgage lending, hiring, and priso…
Automated Test Generation to Detect Individual Discrimination in AI Models
Aniya Agarwal, Pranay Lohia, Seema Nagar +2
Dependability on AI models is of utmost importance to ensure full acceptance of the AI systems. One of the key aspects of the dependable AI system is to ensure that all its decisio…
A Survey of Modern Object Detection Literature using Deep Learning
Karanbir Singh Chahal, Kuntal Dey
Object detection is the identification of an object in the image along with its localisation and classification. It has wide spread applications and is a critical component for vis…
Topic Lifecycle on Social Networks: Analyzing the Effects of Semantic Continuity and Social Communities
Kuntal Dey, Saroj Kaushik, Kritika Garg +1
Topic lifecycle analysis on Twitter, a branch of study that investigates Twitter topics from their birth through lifecycle to death, has gained immense mainstream research populari…
Topical Stance Detection for Twitter: A Two-Phase LSTM Model Using Attention
Kuntal Dey, Ritvik Shrivastava, Saroj Kaushik
The topical stance detection problem addresses detecting the stance of the text content with respect to a given topic: whether the sentiment of the given text content is in FAVOR o…