18 citations · 74 across the 36 of their papers we have counts for
4 papers · 1 filter
Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach
Arnab Neelim Mazumder, Niall Lyons, Ashutosh Pandey +2
Explainability of neural network prediction is essential to understand feature importance and gain interpretable insight into neural network performance. However, explanations of n…
Towards an Interpretable Hierarchical Agent Framework using Semantic Goals
Bharat Prakash, Nicholas Waytowich, Tim Oates +1
Learning to solve long horizon temporally extended tasks with reinforcement learning has been a challenge for several years now. We believe that it is important to leverage both th…
A Fast Network Exploration Strategy to Profile Low Energy Consumption for Keyword Spotting
Arnab Neelim Mazumder, Tinoosh Mohsenin
Keyword Spotting nowadays is an integral part of speech-oriented user interaction targeted for smart devices. To this extent, neural networks are extensively used for their flexibi…
TinyMNet: A Flexible System Algorithm Co-designed Multimodal Learning Framework for Tiny Devices
Hasib-Al Rashid, Pretom Roy Ovi, Carl Busart +2
With the emergence of Artificial Intelligence (AI), new attention has been given to implement AI algorithms on resource constrained tiny devices to expand the application domain of…