We present the Mondrian approach to automatically identify layout templates across multiple files and systematically extract the corresponding regions.
To determine whether TM models have adopted such heuristic, we introduce an adversarial evaluation scheme which invalidates the heuristic.
In this work, we propose a method that improves language modeling by learning to align the given context and the following phrase.
Ranked #12 on Language Modelling on WikiText-103
A new Bayesian state and parameter learning algorithm for multiple target tracking (MTT) models with image observations is proposed.
We propose a new Bayesian tracking and parameter learning algorithm for non-linear non-Gaussian multiple target tracking (MTT) models.