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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
International Conference on Information and Knowledge Management, 2019Modeling users' dynamic preferences from their historical behaviors is challenging and crucial for recommendation systems. Previous methods employ sequential neural networks to encode users' historical interactions from left to right into hidden ...
Fei Sun +6 more
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Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
IEEE Transactions on Image Processing, 2006We address the image denoising problem, where zero-mean white and homogeneous Gaussian additive noise is to be removed from a given image. The approach taken is based on sparse and redundant representations over trained dictionaries.
Michael Elad, M. Aharon
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Object-Contextual Representations for Semantic Segmentation
European Conference on Computer Vision, 2019In this paper, we address the semantic segmentation problem with a focus on the context aggregation strategy. Our motivation is that the label of a pixel is the category of the object that the pixel belongs to. We present a simple yet effective approach,
Yuhui Yuan, Xilin Chen, Jingdong Wang
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
European Conference on Computer Vision, 2016We propose a novel unsupervised learning approach to build features suitable for object detection and classification. The features are pre-trained on a large dataset without human annotation and later transferred via fine-tuning on a different, smaller ...
M. Noroozi, P. Favaro
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Representation as the Representation of Experience
Metaphilosophy, 2000This essay deals, mainly, with the notion of representation. Representation is associated with texts and, as such, is contrasted to the true singular statement. It is argued that the relationship between the text and what the text represents can never be modeled on the relationship between a true singular statement and what the statement is true of ...
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