Recent research has shown the advantages of using autoencoders based on deep neural networks for collaborative filtering.
Ranked #2 on Recommendation Systems on Million Song Dataset
We propose a novel end-to-end Aspect-based Rating Prediction model (AspeRa) that estimates user rating based on review texts for the items and at the same time discovers coherent aspects of reviews that can be used to explain predictions or profile users.
We present the winning solution for the Inclusive Images Competition organized as part of the Conference on Neural Information Processing Systems (NeurIPS 2018) Competition Track.
no code implementations • 27 Nov 2018 • Pavel Solovev, Vladimir Aliev, Pavel Ostyakov, Gleb Sterkin, Elizaveta Logacheva, Stepan Troeshestov, Roman Suvorov, Anton Mashikhin, Oleg Khomenko, Sergey I. Nikolenko
Representation learning becomes especially important for complex systems with multimodal data sources such as cameras or sensors.
We present a novel approach to image manipulation and understanding by simultaneously learning to segment object masks, paste objects to another background image, and remove them from original images.
Despite recent advances in computer vision based on various convolutional architectures, video understanding remains an important challenge.