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Found 5 papers, 2 papers with code
Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation?
We present ANYU, a new virtually augmented version of the NYU depth v2 dataset, designed for monocular depth estimation.
MTS Kion Implicit Contextualised Sequential Dataset for Movie Recommendation
We present a new movie and TV show recommendation dataset collected from the real users of MTS Kion video-on-demand platform.
Controlling Information Capacity of Binary Neural Network
Despite the growing popularity of deep learning technologies, high memory requirements and power consumption are essentially limiting their application in mobile and IoT areas.
Efficient Language Modeling with Automatic Relevance Determination in Recurrent Neural Networks
Reduction of the number of parameters is one of the most important goals in Deep Learning.
Decision Stream: Cultivating Deep Decision Trees
Various modifications of decision trees have been extensively used during the past years due to their high efficiency and interpretability.
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