41 citations · 86 across the 8 of their papers we have counts for
8 papers
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks
Ansel MacLaughlin, Jwala Dhamala, Anoop Kumar +3
Neural Architecture Search (NAS) methods, which automatically learn entire neural model or individual neural cell architectures, have recently achieved competitive or state-of-the-…
Out-of-the-box channel pruned networks
Ragav Venkatesan, Gurumurthy Swaminathan, Xiong Zhou +1
In the last decade convolutional neural networks have become gargantuan. Pre-trained models, when used as initializers are able to fine-tune ever larger networks on small datasets.…
-SNE: Domain Adaptation using Stochastic Neighborhood Embedding
Xiang Xu, Xiong Zhou, Ragav Venkatesan +2
Deep neural networks often require copious amount of labeled-data to train their scads of parameters. Training larger and deeper networks is hard without appropriate regularization…
A Strategy for an Uncompromising Incremental Learner
Ragav Venkatesan, Hemanth Venkateswara, Sethuraman Panchanathan +1
Multi-class supervised learning systems require the knowledge of the entire range of labels they predict. Often when learnt incrementally, they suffer from catastrophic forgetting.…
Classification of Diabetic Retinopathy Images Using Multi-Class Multiple-Instance Learning Based on Color Correlogram Features
Ragav Venkatesan, Parag S. Chandakkar, Baoxin Li
All people with diabetes have the risk of developing diabetic retinopathy (DR), a vision-threatening complication. Early detection and timely treatment can reduce the occurrence of…
Neural Dataset Generality
Ragav Venkatesan, Vijetha Gattupalli, Baoxin Li
Often the filters learned by Convolutional Neural Networks (CNNs) from different datasets appear similar. This is prominent in the first few layers. This similarity of filters is b…
Diving deeper into mentee networks
Ragav Venkatesan, Baoxin Li
Modern computer vision is all about the possession of powerful image representations. Deeper and deeper convolutional neural networks have been built using larger and larger datase…
Trending Chic: Analyzing the Influence of Social Media on Fashion Brands
Lydia Manikonda, Ragav Venkatesan, Subbarao Kambhampati +1
Social media platforms are popular venues for fashion brand marketing and advertising. With the introduction of native advertising, users don't have to endure banner ads that hold…