599 citations · 987 across the 17 of their papers we have counts for
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Overcoming Challenges in Fixed Point Training of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi
It is known that training deep neural networks, in particular, deep convolutional networks, with aggressively reduced numerical precision is challenging. The stochastic gradient de…
Fixed Point Quantization of Deep Convolutional Networks
Darryl D. Lin, Sachin S. Talathi, V. Sreekanth Annapureddy
In recent years increasingly complex architectures for deep convolution networks (DCNs) have been proposed to boost the performance on image recognition tasks. However, the gains i…
Fast SVM training using approximate extreme points
Manu Nandan, Pramod P. Khargonekar, Sachin S. Talathi
Applications of non-linear kernel Support Vector Machines (SVMs) to large datasets is seriously hampered by its excessive training time. We propose a modification, called the appro…