3 papers
eess.IV2020
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
cs.LG2019
Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
Vineeth S. Bhaskara, Sneha Desai
We introduce novel variants of momentum by incorporating the variance of the stochastic loss function. The variance characterizes the confidence or uncertainty of the local feature…
stat.ML2018
Emulating malware authors for proactive protection using GANs over a distributed image visualization of dynamic file behavior
Vineeth S. Bhaskara, Debanjan Bhattacharyya
Malware authors have always been at an advantage of being able to adversarially test and augment their malicious code, before deploying the payload, using anti-malware products at…