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07/27/2022
Detecting Concept Drift in the Presence of Sparsity – A Case Study of Automated Change Risk Assessment System
Missing values, widely called as sparsity in literature, is a common cha...
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04/26/2022
These Deals Won't Last! Longevity, Uniformity and Bias in Product Badge Assignment in E-Commerce Platforms
Product badges are ubiquitous in e-commerce platforms, acting as effecti...
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08/18/2021
Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment
Reducing the number of failures in a production system is one of the mos...
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03/10/2021
Designing a Bot for Efficient Distribution of Service Requests
The tracking and timely resolution of service requests is one of the maj...
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11/23/2020
Exploring Alternatives to Softmax Function
Softmax function is widely used in artificial neural networks for multic...
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09/17/2019
K-TanH: Hardware Efficient Activations For Deep Learning
We propose K-TanH, a novel, highly accurate, hardware efficient approxim...
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06/15/2019
High-Performance Deep Learning via a Single Building Block
Deep learning (DL) is one of the most prominent branches of machine lear...
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05/29/2019
A Study of BFLOAT16 for Deep Learning Training
This paper presents the first comprehensive empirical study demonstratin...
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05/22/2019
A Quick Introduction to Functional Verification of Array-Intensive Programs
Array-intensive programs are often amenable to parallelization across ma...
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08/16/2018
Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
Convolution layers are prevalent in many classes of deep neural networks...
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02/03/2018
Mixed Precision Training of Convolutional Neural Networks using Integer Operations
The state-of-the-art (SOTA) for mixed precision training is dominated by...
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07/15/2017