1.9k citations · 3.4k across the 51 of their papers we have counts for
7 papers · 1 filter
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The stochastic gradient descent (SGD) optimizers are generally used to train the convolutional neural networks (CNNs). In recent years, several adaptive momentum based SGD optimize…
T2CI-GAN: Text to Compressed Image generation using Generative Adversarial Network
Bulla Rajesh, Nandakishore Dusa, Mohammed Javed +2
The problem of generating textual descriptions for the visual data has gained research attention in the recent years. In contrast to that the problem of generating visual data from…
Context Unaware Knowledge Distillation for Image Retrieval
Bytasandram Yaswanth Reddy, Shiv Ram Dubey, Rakesh Kumar Sanodiya +1
Existing data-dependent hashing methods use large backbone networks with millions of parameters and are computationally complex. Existing knowledge distillation methods use logits…
Moment Centralization based Gradient Descent Optimizers for Convolutional Neural Networks
Sumanth Sadu, Shiv Ram Dubey, SR Sreeja
Convolutional neural networks (CNNs) have shown very appealing performance for many computer vision applications. The training of CNNs is generally performed using stochastic gradi…
Target Aware Network Architecture Search and Compression for Efficient Knowledge Transfer
S. H. Shabbeer Basha, Debapriya Tula, Sravan Kumar Vinakota +1
Transfer Learning enables Convolutional Neural Networks (CNN) to acquire knowledge from a source domain and transfer it to a target domain, where collecting large-scale annotated e…
HRel: Filter Pruning based on High Relevance between Activation Maps and Class Labels
CH Sarvani, Mrinmoy Ghorai, Shiv Ram Dubey +1
This paper proposes an Information Bottleneck theory based filter pruning method that uses a statistical measure called Mutual Information (MI). The MI between filters and class la…