activity
20182020
most citedGenerating Diverse and Informative Natural Language Fashion Feedback

4 citations · 9 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG20201 cited

Redesigning the classification layer by randomizing the class representation vectors

Gabi Shalev, Gal-Lev Shalev, Joseph Keshet

Neural image classification models typically consist of two components. The first is an image encoder, which is responsible for encoding a given raw image into a representative vec…

cs.LG20194 cited

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…

cs.LG20194 cited

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…

stat.ML2018

Out-of-Distribution Detection using Multiple Semantic Label Representations

Gabi Shalev, Yossi Adi, Joseph Keshet

Deep Neural Networks are powerful models that attained remarkable results on a variety of tasks. These models are shown to be extremely efficient when training and test data are dr…

cs.LG2018

Actigraphy-based Sleep/Wake Pattern Detection using Convolutional Neural Networks

Lena Granovsky, Gabi Shalev, Nancy Yacovzada +2

Common medical conditions are often associated with sleep abnormalities. Patients with medical disorders often suffer from poor sleep quality compared to healthy individuals, which…