172 citations · 446 across the 27 of their papers we have counts for
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Generalized Dropout
Suraj Srinivas, R. Venkatesh Babu
Deep Neural Networks often require good regularizers to generalize well. Dropout is one such regularizer that is widely used among Deep Learning practitioners. Recent work has show…
Training Sparse Neural Networks
Suraj Srinivas, Akshayvarun Subramanya, R. Venkatesh Babu
Deep neural networks with lots of parameters are typically used for large-scale computer vision tasks such as image classification. This is a result of using dense matrix multiplic…
Compensating for Large In-Plane Rotations in Natural Images
Lokesh Boominathan, Suraj Srinivas, R. Venkatesh Babu
Rotation invariance has been studied in the computer vision community primarily in the context of small in-plane rotations. This is usually achieved by building invariant image fea…
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri +3
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep lea…