Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Jindal, Akshat"'
Barriers to accessing mental health assessments including cost and stigma continues to be an impediment in mental health diagnosis and treatment. Machine learning approaches based on speech samples could help in this direction. In this work, we devel
Externí odkaz:
http://arxiv.org/abs/2312.15272
In this paper, we analyze different methods to mitigate inherent geographical biases present in state of the art image classification models. We first quantitatively present this bias in two datasets - The Dollar Street Dataset and ImageNet, using im
Externí odkaz:
http://arxiv.org/abs/2312.02957
We propose a new framework for Imitation Learning (IL) via density estimation of the expert's occupancy measure followed by Maximum Occupancy Entropy Reinforcement Learning (RL) using the density as a reward. Our approach maximizes a non-adversarial
Externí odkaz:
http://arxiv.org/abs/2010.09808