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Samarth Tripathi
Samarth Tripathi
Applied Scientist, Microsoft WebXT
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Year
Using deep and convolutional neural networks for accurate emotion classification on deap dataset.
S Tripathi, S Acharya, RD Sharma, S Mittal, S Bhattacharya
Twenty-Ninth IAAI Conference, 2017, AAAI, 4746-4752, 2017
314*2017
Multi-Modal Emotion Recognition on IEMOCAP with Neural Networks.
S Tripathi, S Tripathi, H Beigi
arXiv preprint arXiv:1804.05788, 2018
126*2018
A survey of on-device machine learning: An algorithms and learning theory perspective
S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah
ACM Transactions on Internet of Things 2 (3), 1-49, 2021
722021
Predicting online doctor ratings from user reviews using convolutional neural networks
RD Sharma, S Tripathi, SK Sahu, S Mittal, A Anand
International Journal of Machine Learning and Computing 6 (2), 149, 2016
252016
Pruning algorithms to accelerate convolutional neural networks for edge applications: A survey
J Liu, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:2005.04275, 2020
242020
Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning
J Liu, S Tripathi, U Kurup, M Shah
2019 IEEE International Conference on Big Data (Big Data), pp. 339-348., 2019
162019
Using modern neural networks to predict the decisions of supreme court of the united states with state-of-the-art accuracy
RD Sharma, S Mittal, S Tripathi, S Acharya
International Conference on Neural Information Processing, 475-483, 2015
92015
On-device machine learning: an algorithms and learning theory perspective (2019)
S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:1911.00623, 1911
71911
A unified web interface for the internet of things
K Kumar, J Bose, S Tripathi
2016 IEEE Annual India Conference (INDICON), 1-6, 2016
52016
On-device machine learning: An algorithms and learning theory perspective. arXiv 2019
S Dhar, J Guo, J Liu, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:1911.00623, 0
5
Make (nearly) every neural network better: Generating neural network ensembles by weight parameter resampling
J Liu, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:1807.00847, 2018
32018
Towards deeper generative architectures for GANs using dense connections
S Tripathi, R Tu
arXiv preprint arXiv:1804.11031, 2018
12018
Method for fast and accurate extraction of key information from webpages
SG Kasi, S Tripathi
2016 IEEE International Conference on Web Services (ICWS), 500-505, 2016
12016
Evolving GANs: When Contradictions Turn into Compliance
S Dhar, J Heydari, S Tripathi, U Kurup, M Shah
arXiv preprint arXiv:2106.09946, 2021
2021
Training a neural network using periodic sampling over model weights
S Tripathi, J Liu, U Kurup, M Shah
US Patent App. 16/993,147, 2021
2021
Improving Model Training by Periodic Sampling over Weight Distributions
S Tripathi, J Liu, S Dhar, U Kurup, M Shah
2020 IEEE International Conference on Big Data (Big Data), 112-122, 2020
2020
The Journal of Psychosocial Research is indexed in the PsycINFO database of American Psychological Association.
Y GILL, AK SRIVASTAVA, P PRABHAVALKAR, M DEUSKAR, ...
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