Learning to Map Vehicles into Bird’s Eye View
This paper presents a deep learning architecture to map the vehicle detection in the frontal view onto a bird’s eye view of the road scene, while preserving the size and direction of the moving vehicle.
Category: Technology
Generalizing and Hybridizing Count-based and Neural Language Model
This paper demonstrates a framework called Mixture Of Distribution Language Models (MODLMs), which provides a single mathematical framework that encompasses several widely used classes of LMs.
Kullback-Leibler Divergence Explained
Minimization of the KL-divergence can be thought of as maximizing the likelihood ratio, which appears in numerous applications.
Apple is in a Dilemma on iPhone’s 10-year-old Birthday
Apple is confused about what its next big thing will be.
Navigating Intersections with Autonomous Vehicles using Deep Reinforcement Learning
One crucial standard in measuring autonomous vehicles is whether the autonomous vehicles can go through intersections with no signals. In this paper, the authors provide us with a new strategy of using Deep Reinforcement Learning.
Applying Data Science to Robotics
In his blog post “How Data Science Apply to Robotics” on Data Science Central, Dr. Ammar A. Raja points out that there are two major problems scientists have encountered while applying data science to robotics.
Applying Multinomial Naive Bayes to NLP Problems: A Practical Explanation
Bayes’ Theorem is useful for dealing with conditional probabilities, since it provides a way for us to reverse them.
Email Category Prediction
By accurately predicting the category of an email, we can better extract useful information from it according to its corresponding templates.
A Rational Analysis of Curiosity
Curiosity is related to the field of intrinsic motivation, and is recognized as a factor in a wide range of human endeavour.
Massive Exploration of Neural Machine Translation Architectures
Although no innovations for the NMT architecture was introduced, the authors claim that a classic NMT baseline system with carefully tuned hyperparameters can still achieve comparable result to the state-of-the-art.
