Adepu Ravi Sankar

Orcid: 0000-0001-9760-2953

According to our database1, Adepu Ravi Sankar authored at least 15 papers between 2006 and 2021.

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

Timeline

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Bibliography

2021
A Deeper Look at the Hessian Eigenspectrum of Deep Neural Networks and its Applications to Regularization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
DANTE: Deep alternations for training neural networks.
Neural Networks, 2020

Computation-efficient image watermarking architecture with improved performance.
Comput. Electr. Eng., 2020

A Microcontroller-based Electrochemical Discharge Machining (ECDM) Equipment for Micro-drilling of Quartz Substrates.
Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2020

2019
DANTE: Deep AlterNations for Training nEural networks.
CoRR, 2019

2018
An ASIC based invisible watermarking of grayscale images using pixel value search algorithm (PVSA).
Multim. Tools Appl., 2018

On the Analysis of Trajectories of Gradient Descent in the Optimization of Deep Neural Networks.
CoRR, 2018

<i>ADINE</i>: an adaptive momentum method for stochastic gradient descent.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

Are saddles good enough for neural networks.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2018

2017
ADINE: An Adaptive Momentum Method for Stochastic Gradient Descent.
CoRR, 2017

Are Saddles Good Enough for Deep Learning?
CoRR, 2017

2015
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scaling Up the Training of Deep CNNs for Human Action Recognition.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop, 2015

Similarity-based Contrastive Divergence Methods for Energy-based Deep Learning Models.
Proceedings of The 7th Asian Conference on Machine Learning, 2015

2006
CMOS compatible bulk micromachined silicon piezoresistive accelerometer with low off-axis sensitivity.
Microelectron. J., 2006


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