Search Results for author: Sharad Chitlangia

Found 7 papers, 3 papers with code

A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks

no code implementations21 Jul 2021 Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

We present a survey of ways in which existing scientific knowledge are included when constructing models with neural networks.

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving

1 code implementation CVPR 2022 Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao

To this end, we introduce an easy-to-compute information-theoretic surrogate metric to quantitatively and fast evaluate LiDAR placement for 3D detection of different types of objects.

3D Object Detection Autonomous Driving +2

Incorporating Domain Knowledge into Deep Neural Networks

no code implementations27 Feb 2021 Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

We present a survey of ways in which domain-knowledge has been included when constructing models with neural networks.

Reinforcement Learning and its Connections with Neuroscience and Psychology

no code implementations25 Jun 2020 Ajay Subramanian, Sharad Chitlangia, Veeky Baths

In this paper, we comprehensively review a large number of findings in both neuroscience and psychology that evidence reinforcement learning as a promising candidate for modeling learning and decision making in the brain.

Atari Games Decision Making +2

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