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We give an interpretation of the Maximum Entropy (MaxEnt) Principle in game-theoretic terms. Based on this interpretation, we make a formal distinction between different ways of {em applying/} Maximum Entropy distributions. MaxEnt has frequently been criticized on the grounds that it leads to highly representation dependent results. Our distinction allows us to avoid this problem in many cases.
Vision-and-Language Navigation (VLN) requires grounding instructions, such as turn right and stop at the door, to routes in a visual environment. The actual grounding can connect language to the environment through multiple modalities, e.g. stop at t
By borrowing the wisdom of human in gaze following, we propose a two-stage solution for gaze point prediction of the target persons in a scene. Specifically, in the first stage, both head image and its position are fed into a gaze direction pathway t
In the work of Mukhin and Varchenko from 2002 there was introduced a Wronskian map from the variety of full flags in a finite dimensional vector space into a product of projective spaces. We establish a precise relationship between this map and the P
We propose a novel approach towards adversarial attacks on neural networks (NN), focusing on tampering the data used for training instead of generating attacks on trained models. Our network-agnostic method creates a backdoor during training which ca
Coherent driving has established itself as a powerful tool for guiding a many-body quantum system into a desirable, correlated pre-thermal regime. The focus on this transient regime where heating is slow is a result of the intuition that a thermodyna