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Kunal Banerjee

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Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System

Jul 27, 2022
Vishwas Choudhary, Binay Gupta, Anirban Chatterjee, Subhadip Paul, Kunal Banerjee, Vijay Agneeswaran

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Look Before You Leap! Designing a Human-Centered AI System for Change Risk Assessment

Aug 18, 2021
Binay Gupta, Anirban Chatterjee, Harika Matha, Kunal Banerjee, Lalitdutt Parsai, Vijay Agneeswaran

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Exploring Alternatives to Softmax Function

Nov 23, 2020
Kunal Banerjee, Vishak Prasad C, Rishi Raj Gupta, Karthik Vyas, Anushree H, Biswajit Mishra

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K-TanH: Hardware Efficient Activations For Deep Learning

Oct 21, 2019
Abhisek Kundu, Sudarshan Srinivasan, Eric C. Qin, Dhiraj Kalamkar, Naveen K. Mellempudi, Dipankar Das, Kunal Banerjee, Bharat Kaul, Pradeep Dubey

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High-Performance Deep Learning via a Single Building Block

Jun 18, 2019
Evangelos Georganas, Kunal Banerjee, Dhiraj Kalamkar, Sasikanth Avancha, Anand Venkat, Michael Anderson, Greg Henry, Hans Pabst, Alexander Heinecke

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A Study of BFLOAT16 for Deep Learning Training

Jun 13, 2019
Dhiraj Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey

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Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Feb 23, 2018
Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko, Vadim Pirogov

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