Mayank Singh - RankMe

15 papers A* 1A 3Journal 8Unranked 3

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