This paper proposes a procedure to train scene text recognition model using robust learned surrogate of edit distance. The proposed method borrows from self-paced learning and filters out the training examples that are hard for surrogate. filtering is performed by judging quality approximation, ramp function, enabling end-to-end training. Following literature, experiments conducted in post-tuni...

Let X be a Markov process characterized as the solution of a martingale problem with generator A, and let Y be a related observation process. The conditional distribution πt of X(t) given observations of Y up to time t satisfies certain martingale properties, and it is shown that any probability-measure-valued process with the appropriate martingale properties can be interpreted as the conditio...

Reinforcement learning (RL) algorithms attempt to assign the credit for rewards to the actions that contributed to the reward. Thus far, credit assignment has been done in one of two ways: uniformly, or using a discounting model that assigns exponentially more credit to recent actions. This paper demonstrates an alternative approach to temporal credit assignment, taking advantage of exact or ap...