Devansh Arpit

According to our database1, Devansh Arpit authored at least 23 papers between 2011 and 2018.

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Timeline

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Bibliography

2018
h-detach: Modifying the LSTM Gradient Towards Better Optimization.
CoRR, 2018

On the Spectral Bias of Deep Neural Networks.
CoRR, 2018

A Walk with SGD.
CoRR, 2018

Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017
Variational Bi-LSTMs.
CoRR, 2017

Three Factors Influencing Minima in SGD.
CoRR, 2017

Fraternal Dropout.
CoRR, 2017

Residual Connections Encourage Iterative Inference.
CoRR, 2017

A Closer Look at Memorization in Deep Networks.
CoRR, 2017

A Closer Look at Memorization in Deep Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017

Person Re-identification for Improved Multi-person Multi-camera Tracking by Continuous Entity Association.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks.
CoRR, 2016

Towards Optimality Conditions for Non-Linear Networks.
CoRR, 2016

Why Regularized Auto-Encoders learn Sparse Representation?
Proceedings of the 33nd International Conference on Machine Learning, 2016

Normalization Propagation: A Parametric Technique for Removing Internal Covariate Shift in Deep Networks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Subspace learning via low rank projections for dimensionality reduction.
Proceedings of the 8th IEEE International Conference on Biometrics Theory, 2016

2015
Why Regularized Auto-Encoders learn Sparse Representation?
CoRR, 2015

2014
Randomized Subspace Learning Algorithms with Subspace Structure Preservation Guarantees.
CoRR, 2014

Dimensionality Reduction with Subspace Structure Preservation.
CoRR, 2014

Dimensionality Reduction with Subspace Structure Preservation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013
Ridge Regression based classifiers for large scale class imbalanced datasets.
Proceedings of the 2013 IEEE Workshop on Applications of Computer Vision, 2013

2012
Locality-constrained Low Rank Coding for face recognition.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011
Fingerprint feature extraction from gray scale images by ridge tracing.
Proceedings of the 2011 IEEE International Joint Conference on Biometrics, 2011


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