Learning Neuro-symbolic Programs for Language Guided Robot Manipulation

no code implementations • 12 Nov 2022 • Namasivayam Kalithasan, Himanshu Singh, Vishal Bindal, Arnav Tuli, Vishwajeet Agrawal, Rahul Jain, Parag Singla, Rohan Paul

Given a natural language instruction and an input scene, our goal is to train a model to output a manipulation program that can be executed by the robot.

Robot Manipulation

Explanations for CommonsenseQA: New Dataset and Models

no code implementations • AKBC Workshop CSKB 2021 • Shourya Aggarwal, Divyanshu Mandowara, Vishwajeet Agrawal, Dinesh Khandelwal, Parag Singla, Dinesh Garg

We human-annotate a first-of-its-kind dataset (called ECQA) of positive and negative properties, as well as free-flow explanations, for $11K$ QA pairs taken from the CQA dataset.

Common Sense Reasoning Explanation Generation +4

Accelerating 2PC-based ML with Limited Trusted Hardware

no code implementations • 11 Sep 2020 • Muqsit Nawaz, Aditya Gulati, Kunlong Liu, Vishwajeet Agrawal, Prabhanjan Ananth, Trinabh Gupta

Besides, Otak's trusted computing base (code inside trusted hardware) is only 1, 300 lines of code, which is 14. 6$-$29. 2$\times$ lower than the code-size in prior trusted hardware-based works.