Samarth Tripathi

According to our database1, Samarth Tripathi authored at least 13 papers between 2015 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
A Survey of On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
ACM Trans. Internet Things, 2021

Evolving GANs: When Contradictions Turn into Compliance.
CoRR, 2021

2020
Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey.
CoRR, 2020

Improving Model Training by Periodic Sampling over Weight Distributions.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
On-Device Machine Learning: An Algorithms and Learning Theory Perspective.
CoRR, 2019

Robust Neural Network Training using Periodic Sampling over Model Weights.
CoRR, 2019

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling.
CoRR, 2018

Towards Deeper Generative Architectures for GANs using Dense connections.
CoRR, 2018

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning.
CoRR, 2018

2017
Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Dataset.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Method for Fast and Accurate Extraction of Key Information from Webpages.
Proceedings of the IEEE International Conference on Web Services, 2016

2015
Using Modern Neural Networks to Predict the Decisions of Supreme Court of the United States with State-of-the-Art Accuracy.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015


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