Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ Tasks Y Wang, S Mishra, P Alipoormolabashi, Y Kordi, A Mirzaei, A Arunkumar, ... Conference on Empirical Methods in Natural Language Processing, 2022 | 583* | 2022 |
i-Vectors in Speech Processing Applications: A Survey P Verma, PK Das International Journal of Speech Technology 18 (4), 529-546, 2015 | 62 | 2015 |
Asking the Right Questions: Learning Interpretable Action Models Through Query Answering P Verma, SR Marpally, S Srivastava Proceedings of the 35th AAAI Conference on Artificial Intelligence 35 (13 …, 2021 | 39 | 2021 |
Differential Assessment of Black-Box AI Agents RK Nayyar, P Verma, S Srivastava Proceedings of the 36th AAAI Conference on Artificial Intelligence, 2022 | 23 | 2022 |
Discovering User-Interpretable Capabilities of Black-Box Planning Agents P Verma, SR Marpally, S Srivastava Proceedings of the 19th International Conference on Principles of Knowledge …, 2022 | 20 | 2022 |
Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings P Verma, R Karia, S Srivastava Proc. NeurIPS, 2023 | 15* | 2023 |
JEDAI: A System for Skill-Aligned Explainable Robot Planning N Shah, P Verma, T Angle, S Srivastava Proc. AAMAS, 2021 | 14 | 2021 |
Learning Causal Models of Autonomous Agents using Interventions P Verma, S Srivastava IJCAI 2021 Workshop on Generalization in Planning, 2021 | 12 | 2021 |
Improving Services Using Mobile Agents-based IoT in a Smart City P Verma, M Gupta, T Bhattacharya, PK Das 2014 International Conference on Contemporary Computing and Informatics …, 2014 | 8 | 2014 |
Learning Generalized Models by Interrogating Black-Box Autonomous Agents P Verma, S Srivastava AAAI 2020 Workshop on Generalization in Planning, 2020 | 6 | 2020 |
Investigating the "Wisdom of Crowds" at Scale A Shankar Mysore, VS Yaligar, I Arrieta Ibarra, C Simoiu, S Goel, R Arvind, ... Adjunct Proceedings of the 28th Annual ACM Symposium on User Interface …, 2015 | 4 | 2015 |
Learning User-Interpretable Descriptions of Black-Box AI System Capabilities P Verma, SR Marpally, S Srivastava ICAPS 2021 Workshop on Knowledge Engineering for Planning and Scheduling, 2021 | 3 | 2021 |
A Mobile Agents based Distributed Speech Recognition Engine for Controlling Multiple Robots M Gupta, P Verma, T Bhattacharya, PK Das Proceedings of the 2015 Conference on Advances In Robotics, 1-6, 2015 | 3 | 2015 |
Resource Usage Analysis for Speech Recognition Techniques P Verma Master's Thesis, Indian Institute of Technology Guwahati, 2015 | 3 | 2015 |
From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions, and Models for Planning from Raw Data N Shah, J Nagpal, P Verma, S Srivastava arXiv preprint arXiv:2402.11871, 2024 | 2 | 2024 |
Epistemic Exploration for Generalizable Planning and Learning in Non-Stationary Settings R Karia, P Verma, A Speranzon, S Srivastava Proc. ICAPS, 2024 | 2* | 2024 |
Learning AI-System Capabilities under Stochasticity P Verma, R Karia, G Vipat, A Gupta, S Srivastava NeurIPS 2023 Workshop on Generalization in Planning, 2023 | 2 | 2023 |
A Comparative Study of Resource Usage for Speaker Recognition Techniques P Verma, PK Das 2016 International Conference on Signal Processing and Communication (ICSC …, 2016 | 2 | 2016 |
Learning Causally Accurate Models for Autonomous Assessment of Deterministic Black-Box Agents P Verma, S Srivastava | | 2024 |
Using Explainable AI and Hierarchical Planning for Outreach with Robots D Dobhal, J Nagpal, R Karia, P Verma, RK Nayyar, N Shah, S Srivastava arXiv preprint arXiv:2404.00808, 2024 | | 2024 |