A Two-Phase Approach Towards Identifying Argument Structure in Natural Language. - Arkanath Pathak; Pawan Goyal 002; Plaban Kumar Bhowmick (NLP-TEA@COLING, 2016)

Clustering of Mixed Data by Integrating Fuzzy, Probabilistic, and Collaborative Clustering Framework. - Arkanath Pathak; Nikhil R. Pal (Int. J. Fuzzy Syst., 2016)

Learning Grasping Interaction with Geometry-aware 3D Representations. - Xinchen Yan; Mohi Khansari; Yunfei Bai; Jasmine Hsu; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (CoRR, 2017)

Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations. - Xinchen Yan; Jasmine Hsu; Mohammad Khansari 002; Yunfei Bai; Arkanath Pathak; Abhinav Gupta 001; James Davidson; Honglak Lee (ICRA, 2018)

High Fidelity Video Prediction with Large Stochastic Recurrent Neural Networks. - Ruben Villegas; Arkanath Pathak; Harini Kannan; Dumitru Erhan; Quoc V. Le; Honglak Lee (NeurIPS, 2019)

Sequential Training of GANs Against GAN-Classifiers Reveals Correlated "Knowledge Gaps" Present Among Independently Trained GAN Instances. - Arkanath Pathak; Nicholas Dufour (CVPR, 2023)

AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild. - Nicholas Dufour; Arkanath Pathak; Pouya Samangouei; Nikki Hariri; Shashi Deshetti; Andrew Dudfield; Christopher Guess; Pablo Hernández Escayola; Bobby Tran; Mevan Babakar; Christoph Bregler (CoRR, 2024)