29 citations · 42 across the 6 of their papers we have counts for
6 papers
Problems with automating translation of movie/TV show subtitles
Prabhakar Gupta, Mayank Sharma, Kartik Pitale +1
We present 27 problems encountered in automating the translation of movie/TV show subtitles. We categorize each problem in one of the three categories viz. problems directly relate…
Smaller Models, Better Generalization
Mayank Sharma, Suraj Tripathi, Abhimanyu Dubey +3
Reducing network complexity has been a major research focus in recent years with the advent of mobile technology. Convolutional Neural Networks that perform various vision tasks wi…
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise
Mayank Sharma, Aayush Yadav, Sumit Soman +1
Deep neural networks are over-parameterized, which implies that the number of parameters are much larger than the number of samples used to train the network. Even in such a regime…
Radius-margin bounds for deep neural networks
Mayank Sharma, Jayadeva, Sumit Soman
Explaining the unreasonable effectiveness of deep learning has eluded researchers around the globe. Various authors have described multiple metrics to evaluate the capacity of deep…
Learning Neural Network Classifiers with Low Model Complexity
Jayadeva, Himanshu Pant, Mayank Sharma +5
Modern neural network architectures for large-scale learning tasks have substantially higher model complexities, which makes understanding, visualizing and training these architect…
Scalable Twin Neural Networks for Classification of Unbalanced Data
Jayadeva, Himanshu Pant, Sumit Soman +1
Twin Support Vector Machines (TWSVMs) have emerged an efficient alternative to Support Vector Machines (SVM) for learning from imbalanced datasets. The TWSVM learns two non-paralle…