Mayank Singh

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 15

Top Topics

Multi Layered Perceptron

Transfer Learning

Log Linear Models

Top Venues

Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML

Publications

Puneet Mangla, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy, Vineeth N. Balasubramanian
Data InStance Prior (DISP) in Generative Adversarial Networks. WACV (2022)
Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. WACV (2021)
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)
Puneet Mangla, Nupur Kumari, Mayank Singh, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Data Instance Prior for Transfer Learning in GANs. CoRR (2020)
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Attributional Robustness Training Using Input-Gradient Spatial Alignment. ECCV (27) (2020)
Gunjan Aggarwal, Abhishek Sinha, Nupur Kumari, Mayank Singh
On the Benefits of Models with Perceptually-Aligned Gradients. CoRR (2020)
Parth Patel, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
LT-GAN: Self-Supervised GAN with Latent Transformation Detection. CoRR (2020)
Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy
A Method for Computing Class-wise Universal Adversarial Perturbations. CoRR (2019)
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)
Puneet Mangla, Mayank Singh, Abhishek Sinha, Nupur Kumari, Vineeth N. Balasubramanian, Balaji Krishnamurthy
Charting the Right Manifold: Manifold Mixup for Few-shot Learning. CoRR (2019)
Abhishek Sinha, Mayank Singh, Nupur Kumari, Balaji Krishnamurthy, Harshitha Machiraju, Vineeth N. Balasubramanian
Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models. CoRR (2019)
Mayank Singh, Nupur Kumari, Puneet Mangla, Abhishek Sinha, Vineeth N. Balasubramanian, Balaji Krishnamurthy
On the Benefits of Attributional Robustness. CoRR (2019)
Mayank Singh, Nupur Kumari, Abhishek Sinha, Balaji Krishnamurthy
Understanding Adversarial Space Through the Lens of Attribution. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML (2018)
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)
Mayank Singh, Abhishek Sinha, Balaji Krishnamurthy
Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space. CoRR (2018)