Banerjee, Kunal

1. A Study of BFLOAT16 for Deep Learning Training
   2019/05/29 by Dhiraj Kalamkar, Kalamkar, Dhiraj, Dheevatsa Mudigere +35 · 37 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications
2. Mixed Precision Training of Convolutional Neural Networks using Integer Operations
   2018/02/03 by Dipankar Das, Naveen Mellempudi, Das, Dipankar +31 · 10 citations
   Computer Science · Mathematics · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE) #Numerical Analysis (math.NA) #Tensor decomposition and applications
3. Anatomy Of High-Performance Deep Learning Convolutions On SIMD Architectures
   2018/08/16 by Georganas, Evangelos, Avancha, Sasikanth, Banerjee, Kunal +4 · 1 citation
   #Distributed #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
4. Exploring Alternatives to Softmax Function
   2020/11/23 by Banerjee, Kunal, C, Vishak Prasad, Gupta, Rishi Raj +3 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG)