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ORCIDMayank Singh 0007
Person information
- affiliation: Adobe Systems Inc, Noida, India
Other persons with the same name
- Mayank Singh — disambiguation page
- Mayank Singh 0001
![[0000-0001-8757-2623]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8757-2623")
— Indian Institute of Technology, Gandhinagar, India (and 1 more) - Mayank Singh 0002 — Banaras Hindu University, Institute of Technology, Crypto Group, India
- Mayank Singh 0003 — Texas A&M University, College Station, TX, USA
- Mayank Singh 0004 — Cisco Systems, Bangalore, India
- Mayank Singh 0005 — THDC Institute of Hydropower Engineering & Technology Tehri, India
- Mayank Singh 0006 — Lingaya's University, Faridabad, India
- Mayank Singh 0008 — Consilio Research Lab, Tallinn, Estonia (and 3 more)
- Mayank Singh 0009 — IIT Delhi, India
- Mayank Singh 0010 — Texas Instruments, Dallas, TX, USA
- Mayank Singh 0011 — KIET Group of Institutions, Department of Information Technology, Ghaziabad, India
- Mayank Singh 0012 — Indian Institute of Technology Roorkee, Department of Applied Mathematics and Scientific Computing, India
- Mayank Singh 0013 — North Carolina State University, Electrical and Computer Engineering Department, Raleigh, NC, USA
- Mayank Singh 0014 — Chandigarh University, Kalpana Chawla Centre for Research in Space, Science and Technology, Gharuan, India
- Mayank Singh 0016 — Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
- Mayank Singh 0017 — Grubhub, New York, NY, USA
- Mayank Singh 0018 — International Institute of Information Technology Hyderabad, India
- Mayank Singh 0019 — Fraunhofer IGCV, Augsburg, Germany (and 1 more)
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2020 – today
- 2022
[c7]Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV 2022: 3471-3481- 2021
- [c6]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV 2021: 3188-3197 - 2020
- [c5]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) 2020: 515-533 - [c4]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. WACV 2020: 2207-2216 - [i8]Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh:
On the Benefits of Models with Perceptually-Aligned Gradients. CoRR abs/2005.01499 (2020) - [i7]Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR abs/2010.09893 (2020) - [i6]Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Data Instance Prior for Transfer Learning in GANs. CoRR abs/2012.04256 (2020)
2010 – 2019
- 2019
- [c3]Nupur Kumari, Mayank Singh, Abhishek Sinha, Harshitha Machiraju, Balaji Krishnamurthy, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. IJCAI 2019: 2779-2785 - [i5]Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian:
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR abs/1905.05186 (2019) - [i4]Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR abs/1907.12087 (2019) - [i3]Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
On the Benefits of Attributional Robustness. CoRR abs/1911.13073 (2019) - [i2]Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy:
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR abs/1912.00466 (2019) - 2018
- [c2]Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy:
Understanding Adversarial Space Through the Lens of Attribution. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 30-40 - [c1]Abhishek Sinha, Mayank Singh, Balaji Krishnamurthy:
Neural Networks in an Adversarial Setting and Ill-Conditioned Weight Space. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML 2018: 177-190 - [i1]Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy:
Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space. CoRR abs/1801.00905 (2018)
Coauthor Index
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