14 citations · 17 across the 6 of their papers we have counts for
6 papers
TaskMix: Data Augmentation for Meta-Learning of Spoken Intent Understanding
Surya Kant Sahu
Meta-Learning has emerged as a research direction to better transfer knowledge from related tasks to unseen but related tasks. However, Meta-Learning requires many training tasks t…
Not All Lotteries Are Made Equal
Surya Kant Sahu, Sai Mitheran, Somya Suhans Mahapatra
The Lottery Ticket Hypothesis (LTH) states that for a reasonably sized neural network, a sub-network within the same network yields no less performance than the dense counterpart w…
AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning
Ayush Chopra, Surya Kant Sahu, Abhishek Singh +4
Distributed deep learning frameworks like federated learning (FL) and its variants are enabling personalized experiences across a wide range of web clients and mobile/IoT devices.…
Audiomer: A Convolutional Transformer For Keyword Spotting
Surya Kant Sahu, Sai Mitheran, Juhi Kamdar +1
Transformers have seen an unprecedented rise in Natural Language Processing and Computer Vision tasks. However, in audio tasks, they are either infeasible to train due to extremely…
Introducing Self-Attention to Target Attentive Graph Neural Networks
Sai Mitheran, Abhinav Java, Surya Kant Sahu +1
Session-based recommendation systems suggest relevant items to users by modeling user behavior and preferences using short-term anonymous sessions. Existing methods leverage Graph…
Rethinking Neural Networks With Benford's Law
Surya Kant Sahu, Abhinav Java, Arshad Shaikh +1
Benford's Law (BL) or the Significant Digit Law defines the probability distribution of the first digit of numerical values in a data sample. This Law is observed in many naturally…