20 citations · 36 across the 5 of their papers we have counts for
5 papers
AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild
Nicholas Dufour, Arkanath Pathak, Pouya Samangouei +8
The prevalence and harms of online misinformation is a perennial concern for internet platforms, institutions and society at large. Over time, information shared online has become…
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…
High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks
Ruben Villegas, Arkanath Pathak, Harini Kannan +3
Predicting future video frames is extremely challenging, as there are many factors of variation that make up the dynamics of how frames change through time. Previously proposed sol…
Learning 6-DOF Grasping Interaction via Deep Geometry-aware 3D Representations
Xinchen Yan, Jasmine Hsu, Mohi Khansari +5
This paper focuses on the problem of learning 6-DOF grasping with a parallel jaw gripper in simulation. We propose the notion of a geometry-aware representation in grasping based o…
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…