Intelligent condition based monitoring of rotating machines using sparse auto-encoders NK Verma, VK Gupta, M Sharma, RK Sevakula Prognostics and Health Management (PHM), 2013 IEEE Conference, 1-7, 2013 | 117 | 2013 |
Twin Neural Networks for the Classification of Large Unbalanced Datasets H Pant, M Sharma, S Soman, Jayadeva Neurocomputing, 2019 | 29 | 2019 |
Large-Scale Minimal Complexity Machines Using Explicit Feature Maps M Sharma, Jayadeva, S soman, H Pant IEEE Transactions on Systems, Man, and Cybernetics: Systems, 1-10, 2017 | 12 | 2017 |
Problems with automating translation of movie/TV show subtitles P Gupta, M Sharma, K Pitale, K Kumar arxiv, 2019 | 9 | 2019 |
Twin Neural Networks for Efficient EEG Signal Classification H Pant, S Soman, Jayadeva, M Sharma International Joint Conference on Neural Networks (IJCNN), 2018 | 8 | 2018 |
QMCM: Minimizing Vapnik’s bound on the VC dimension S Soman, H Pant, M Sharma Neurocomputing 399, 352-360, 2020 | 7 | 2020 |
Ultra-Sparse Classifiers Through Minimizing the VC Dimension in the Empirical Feature Space M Sharma, S Soman, H Pant Neural Processing Letters 48 (2), 881-913, 2018 | 7 | 2018 |
Minimal Complexity Machines Under Weight Quantization M Sharma, S Soman, J Jayadeva IEEE Transactions on Computers, 2021 | 5 | 2021 |
Intra-Sentential Speaking Rate Control in Neural Text-To-Speech for Automatic Dubbing M Sharma, Y Virkar, M Federico, R Barra-Chicote, R Enyedi Proc. Interspeech 2021, 3151-3155, 2021 | 4 | 2021 |
Non-Mercer Large Scale Multiclass Least Squares Minimal Complexity Machines M Sharma, S Soman, Jayadeva, H Pant 2018 International Joint Conference on Neural Networks (IJCNN), 2018 | 4 | 2018 |
Learning Neural Network Classifiers with Low Model Complexity Jayadeva, P Himanshu, S Mayank, D Abhimanyu, S Sumit, G Sai, G Nihal arXiv preprint arXiv:1707.09933, 2017 | 4 | 2017 |
Scalable Twin Neural Networks for Classification of Unbalanced Data H Pant, Jayadeva, S Soman, M Sharma arXiv preprint arXiv:1705.00347, 2017 | 3 | 2017 |
FORKS: Finding Orderings Robustly using K-means and Steiner trees M Sharma, H Li, D Sengupta, S Prabhakar, Jayadeva bioRxiv, 2017 | 3 | 2017 |
Radius-margin bounds for deep neural networks M Sharma, Jayadeva, S Soman arXiv, 2018 | 2 | 2018 |
Sparsity in function and derivative approximation via the Empirical Feature Space J Soman, Sumit, R Thakur, M Sharma, S Chandra Information Sciences, 2019 | 1* | 2019 |
Effect of Various Regularizers on Model Complexities of Neural Networks in Presence of Input Noise M Sharma, A Yadav, S Soman, Jayadeva arXiv, 2019 | 1 | 2019 |
Unsupervised Translation Quality Estimation for Digital Entertainment Content Subtitles P Gupta, M Sharma International Journal of Semantic Computing 14 (01), 137-151, 2020 | | 2020 |
Smaller Models, Better Generalization M Sharma, S Tripathi, A Dubey, Jayadeva, S Guruju, N Goalla arxiv, 2019 | | 2019 |
Large scale and sparse minimal complexity machines M Sharma IIT Delhi, 2019 | | 2019 |