5 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Using Logic Programming and Kernel-Grouping for Improving Interpretability of Convolutional Neural Networks
Parth Padalkar, Gopal Gupta
Within the realm of deep learning, the interpretability of Convolutional Neural Networks (CNNs), particularly in the context of image classification tasks, remains a formidable cha…
cs.AI2023★ 5 cited
Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs
Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar +3
Achieving human-like communication with machines remains a classic, challenging topic in the field of Knowledge Representation and Reasoning and Natural Language Processing. These…
cs.AI2023
MACOptions: Multi-Agent Learning with Centralized Controller and Options Framework
Alakh Aggarwal, Rishita Bansal, Parth Padalkar +1
These days automation is being applied everywhere. In every environment, planning for the actions to be taken by the agents is an important aspect. In this paper, we plan to implem…