2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Sequential training of GANs against GAN-classifiers reveals correlated "knowledge gaps" present among independently trained GAN instances
Arkanath Pathak, Nicholas Dufour
Modern Generative Adversarial Networks (GANs) generate realistic images remarkably well. Previous work has demonstrated the feasibility of "GAN-classifiers" that are distinct from…
cs.CL2016★ 2 cited
A Two-Phase Approach Towards Identifying Argument Structure in Natural Language
Arkanath Pathak, Pawan Goyal, Plaban Bhowmick
We propose a new approach for extracting argument structure from natural language texts that contain an underlying argument. Our approach comprises of two phases: Score Assignment…