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Found 6 papers, 0 papers with code
Training self-supervised peptide sequence models on artificially chopped proteins
In this paper, we propose a new peptide data augmentation scheme, where we train peptide language models on artificially constructed peptides that are small contiguous subsets of longer, wild-type proteins; we refer to the training peptides as "chopped proteins".
Joint Visual-Textual Embedding for Multimodal Style Search
We propose a method to retrieve similar items, based on a query item image and textual refinement properties.
Generating Diverse and Informative Natural Language Fashion Feedback
In this paper, we consider the task of generating natural language fashion feedback on outfit images.
RNN Fisher Vectors for Action Recognition and Image Annotation
Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences.
Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors
In this work, we are using the Fisher Vector as a sentence representation by pooling the word2vec embedding of each word in the sentence.
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Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
The second Mixture Model presented is a Hybrid Gaussian-Laplacian Mixture Model (HGLMM) which is based on a weighted geometric mean of the Gaussian and Laplacian distribution.
