Yash Sharma

According to our database1, Yash Sharma authored at least 27 papers between 2012 and 2021.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2021
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification.
CoRR, 2021

Contrastive Learning Inverts the Data Generating Process.
CoRR, 2021

2020
SunPy: A Python package for Solar Physics.
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J. Open Source Softw., 2020

Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding.
CoRR, 2020

S2RMs: Spatially Structured Recurrent Modules.
CoRR, 2020

Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences.
CoRR, 2020

Devising Malware Characterstics using Transformers.
CoRR, 2020

Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS.
Proceedings of the Interspeech 2020, 2020

Self-attentive Adversarial Stain Normalization.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

MMA Training: Direct Input Space Margin Maximization through Adversarial Training.
Proceedings of the 8th International Conference on Learning Representations, 2020

Abstract: WeLineation.
Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2019
A Novel 20nm FinFET Based 10T SRAM Cell Design for Improved Performance.
Proceedings of the VLSI Design and Test - 23rd International Symposium, 2019

On the Effectiveness of Low Frequency Perturbations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Are Generative Classifiers More Robust to Adversarial Attacks?
Proceedings of the 36th International Conference on Machine Learning, 2019

GenAttack: practical black-box attacks with gradient-free optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018
Application of bow-tie surface plasmon antenna to silicon on insulator nanowire photodiode for enhanced light absorption.
IEICE Electron. Express, 2018

Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training.
CoRR, 2018

CAAD 2018: Generating Transferable Adversarial Examples.
CoRR, 2018

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization.
CoRR, 2018

Bypassing Feature Squeezing by Increasing Adversary Strength.
CoRR, 2018

Attacking the Madry Defense Model with $L_1$-based Adversarial Examples.
Proceedings of the 6th International Conference on Learning Representations, 2018

Generating Natural Language Adversarial Examples.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Attacking the Madry Defense Model with L<sub>1</sub>-based Adversarial Examples.
CoRR, 2017

ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models.
Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

2016
Component-based TV regularization for X-ray tensor tomography.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2012
Hybrid softcomputing model for lesion identification and information combination: some case studies.
Int. J. Data Min. Bioinform., 2012


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