83 citations · 94 across the 6 of their papers we have counts for
6 papers
Long-context Protein Language Modeling Using Bidirectional Mamba with Shared Projection Layers
Yingheng Wang, Zichen Wang, Gil Sadeh +4
Self-supervised training of language models (LMs) has seen great success for protein sequences in learning meaningful representations and for generative drug design. Most protein L…
Training self-supervised peptide sequence models on artificially chopped proteins
Gil Sadeh, Zichen Wang, Jasleen Grewal +2
Representation learning for proteins has primarily focused on the global understanding of protein sequences regardless of their length. However, shorter proteins (known as peptides…
Joint Visual-Textual Embedding for Multimodal Style Search
Gil Sadeh, Lior Fritz, Gabi Shalev +1
We introduce a multimodal visual-textual search refinement method for fashion garments. Existing search engines do not enable intuitive, interactive, refinement of retrieved result…
Generating Diverse and Informative Natural Language Fashion Feedback
Gil Sadeh, Lior Fritz, Gabi Shalev +1
Recent advances in multi-modal vision and language tasks enable a new set of applications. In this paper, we consider the task of generating natural language fashion feedback on ou…
RNN Fisher Vectors for Action Recognition and Image Annotation
Guy Lev, Gil Sadeh, Benjamin Klein +1
Recurrent Neural Networks (RNNs) have had considerable success in classifying and predicting sequences. We demonstrate that RNNs can be effectively used in order to encode sequence…
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
Benjamin Klein, Guy Lev, Gil Sadeh +1
In the traditional object recognition pipeline, descriptors are densely sampled over an image, pooled into a high dimensional non-linear representation and then passed to a classif…