As state-of-the-art neural networks scale to billions of parameters,
des...
Mixture-of-Experts (MoE) is a neural network architecture that adds spar...
Parallel training of neural networks at scale is challenging due to
sign...
In this paper we discuss an in-progress work on the development of a spe...
In the proposed demo, we will present a new software - Linguistic Field ...
Individual rationality, which involves maximizing expected individual
re...
In this paper, we discuss the development of a multilingual dataset anno...
The field of deep learning has witnessed a remarkable shift towards extr...
In the last few years, the memory requirements to train state-of-the-art...
Deep learning-based object reconstruction algorithms have shown remarkab...
We consider the problem of object goal navigation in unseen environments...
In the past decade, high performance compute capabilities exhibited by
h...
Online forums and social media platforms are increasingly being used to
...
In this paper, we discuss the development of a multilingual annotated co...
Social dilemma situations bring out the conflict between individual and ...
In social dilemma situations, individual rationality leads to sub-optima...
Robot learning has emerged as a promising tool for taming the complexity...
Objective. Annotation is expensive but essential for clinical note revie...
In this paper, we present a novel control law for longitudinal speed con...