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2020 – today
- 2021
[c17]David A. Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. ICLR 2021- [c16]Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf:
Spatially Structured Recurrent Modules. ICLR 2021 - [c15]Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. ICML 2021: 12979-12990 - [c14]Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown:
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. MIDL 2021: 682-698 - [i19]Roland S. Zimmermann, Yash Sharma, Steffen Schneider, Matthias Bethge, Wieland Brendel:
Contrastive Learning Inverts the Data Generating Process. CoRR abs/2102.08850 (2021) - [i18]Yash Sharma, Aman Shrivastava, Lubaina Ehsan, Christopher A. Moskaluk, Sana Syed, Donald E. Brown:
Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification. CoRR abs/2103.10626 (2021) - [i17]Julius von Kügelgen, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, Francesco Locatello:
Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style. CoRR abs/2106.04619 (2021) - [i16]Yash Sharma, Lubaina Ehsan, Sana Syed, Donald E. Brown:
HistoTransfer: Understanding Transfer Learning for Histopathology. CoRR abs/2106.07068 (2021) - [i15]Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch:
Unsupervised Learning of Compositional Energy Concepts. CoRR abs/2111.03042 (2021) - 2020
- [d1]Stuart Mumford, Nabil Freij
, Steven Christe, Jack Ireland, Florian Mayer, V. Keith Hughitt, Albert J. Shih, Daniel Ryan, Simon Liedtke, David Pérez-Suárez, Pritish Chakraborty, Vishnunarayan K, Andrew Inglis, Punyaslok Pattnaik, Brigitta M. Sipocz, Rishabh Sharma, Andrew Leonard, David Stansby, Russell J. Hewett, Alex Hamilton, Laura Hayes, Asish Panda, Matt Earnshaw, Nitin Choudhary, Ankit Kumar, Prateek Chanda, Md. Akramul Haque, Michael Kirk, Michael Mueller, Sudarshan Konge, Rajul Srivastava, Yash Jain, Samuel Bennett, Ankit Baruah, Will Barnes, Michael Charlton, Shane A. Maloney, Nicky Chorley, Himanshu, Sanskar Modi, James Mason, Jose Rozo, Larry Manley, Agneet Chatterjee, John Evans, Michael Malocha, Monica G. Bobra, Sourav Ghosh, Dominik Stanczak, Ruben De Visscher, Shresth Verma, Ankit Agrawal, Dumindu Buddhika, Swapnil Sharma, Jongyeob Park, Matt Bates, Dhruv Goel, Garrison Taylor, Goran Cetusic, Jacob, Mateo Inchaurrandieta, Sally Dacie, Sanjeev Dubey, Deepankar Sharma, Erik Bray, Jai Rideout, Serge Zahniy, Tomas Meszaros, Abhigyan Bose, André Chicrala, Ankit, Chloé Guennou, Daniel D'avella, Daniel Williams, Jordan Ballew, Nick Murphy, Priyank Lodha, Thomas Robitaille, Yash Krishan, Andrew Hill, Arthur Eigenbrot, Benjamin Mampaey, Bernhard Wiedemann, Carlos Molina, Duygu Keskek, Ishtyaq Habib, Joseph Letts, Juanjo Bazán, Quinn Arbolante, Reid Gomillion, Yash Kothari, Yash Sharma, Abigail Stevens, Adrian M. Price-Whelan, Ambar Mehrotra, Arseniy Kustov, Brandon Stone, Trung Dang, Emmanuel Arias, Fionnlagh Dover, Freek Verstringe, Gulshan Kumar, Harsh Mathur, Igor Babuschkin, Jaylen Wimbish, Juan Buitrago-Casas, Kalpesh Krishna, Kaustubh Hiware, Manas Mangaonkar, Matthew Mendero, Mickaël Schoentgen, Norbert Gyenge, Ole Streicher, Rajasekhar Mekala, Rishabh Mishra, Shashank Srikanth, Sarthak Jain, Tannmay Yadav, Tessa Wilkinson, Tiago Pereira, Yudhik Agrawal, Jamescalixto, Yasintoda, Sophie Murray:
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - [c13]Malte Jauer, Saksham Goel, Yash Sharma, Thomas M. Deserno:
Abstract: WeLineation. Bildverarbeitung für die Medizin 2020: 73 - [c12]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
MMA Training: Direct Input Space Margin Maximization through Adversarial Training. ICLR 2020 - [c11]Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown:
Self-attentive Adversarial Stain Normalization. ICPR Workshops (1) 2020: 120-140 - [c10]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-Switched ASR Using Augmented Code-Switched TTS. INTERSPEECH 2020: 4771-4775 - [i14]Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma:
Devising Malware Characterstics using Transformers. CoRR abs/2005.12978 (2020) - [i13]Marissa A. Weis, Kashyap Chitta, Yash Sharma, Wieland Brendel, Matthias Bethge, Andreas Geiger, Alexander S. Ecker:
Unmasking the Inductive Biases of Unsupervised Object Representations for Video Sequences. CoRR abs/2006.07034 (2020) - [i12]Nasim Rahaman, Anirudh Goyal, Muhammad Waleed Gondal, Manuel Wuthrich, Stefan Bauer, Yash Sharma, Yoshua Bengio, Bernhard Schölkopf:
S2RMs: Spatially Structured Recurrent Modules. CoRR abs/2007.06533 (2020) - [i11]David Klindt, Lukas Schott, Yash Sharma, Ivan Ustyuzhaninov, Wieland Brendel, Matthias Bethge, Dylan M. Paiton:
Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding. CoRR abs/2007.10930 (2020) - [i10]Yash Sharma, Basil Abraham, Karan Taneja, Preethi Jyothi:
Improving Low Resource Code-switched ASR using Augmented Code-switched TTS. CoRR abs/2010.05549 (2020)
2010 – 2019
- 2019
- [c9]Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava:
GenAttack: practical black-box attacks with gradient-free optimization. GECCO 2019: 1111-1119 - [c8]Yingzhen Li, John Bradshaw, Yash Sharma:
Are Generative Classifiers More Robust to Adversarial Attacks? ICML 2019: 3804-3814 - [c7]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. IJCAI 2019: 3389-3396 - [c6]Anushka Singh, Yash Sharma, Arvind Sharma, Archana Pandey:
A Novel 20nm FinFET Based 10T SRAM Cell Design for Improved Performance. VDAT 2019: 523-531 - [i9]Yash Sharma, Gavin Weiguang Ding, Marcus A. Brubaker:
On the Effectiveness of Low Frequency Perturbations. CoRR abs/1903.00073 (2019) - 2018
- [j2]Yash Sharma, Hiroaki Satoh, Hiroshi Inokawa:
Application of bow-tie surface plasmon antenna to silicon on insulator nanowire photodiode for enhanced light absorption. IEICE Electron. Express 15(11): 20180328 (2018) - [c5]Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. AAAI 2018: 10-17 - [c4]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. EMNLP 2018: 2890-2896 - [c3]Yash Sharma, Pin-Yu Chen:
Attacking the Madry Defense Model with $L_1$-based Adversarial Examples. ICLR (Workshop) 2018 - [i8]Yash Sharma, Pin-Yu Chen:
Bypassing Feature Squeezing by Increasing Adversary Strength. CoRR abs/1803.09868 (2018) - [i7]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. CoRR abs/1804.07998 (2018) - [i6]Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava:
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. CoRR abs/1805.11090 (2018) - [i5]Yash Sharma, Tien-Dung Le, Moustafa Alzantot:
CAAD 2018: Generating Transferable Adversarial Examples. CoRR abs/1810.01268 (2018) - [i4]Gavin Weiguang Ding, Yash Sharma, Kry Yik Chau Lui, Ruitong Huang:
Max-Margin Adversarial (MMA) Training: Direct Input Space Margin Maximization through Adversarial Training. CoRR abs/1812.02637 (2018) - 2017
- [c2]Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models. AISec@CCS 2017: 15-26 - [i3]Pin-Yu Chen, Huan Zhang, Yash Sharma, Jinfeng Yi, Cho-Jui Hsieh:
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models. CoRR abs/1708.03999 (2017) - [i2]Pin-Yu Chen, Yash Sharma, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh:
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples. CoRR abs/1709.04114 (2017) - [i1]Yash Sharma, Pin-Yu Chen:
Attacking the Madry Defense Model with L1-based Adversarial Examples. CoRR abs/1710.10733 (2017) - 2016
- [c1]Saeed Seyyedi, Matthias Wieczorek, Yash Sharma, Florian Schaff, Christoph Jud, Franz Pfeiffer, Tobias Lasser:
Component-based TV regularization for X-ray tensor tomography. ISBI 2016: 581-584 - 2012
- [j1]Arpit Srivastava, Abhinav Asati, Sandeep Kumar Jain, Yash Sharma, Mahua Bhattacharya:
Hybrid softcomputing model for lesion identification and information combination: some case studies. Int. J. Data Min. Bioinform. 6(3): 335-353 (2012)
Coauthor Index
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