| Associating neural word embeddings with deep image representations using fisher vectors B Klein, G Lev, G Sadeh, L Wolf Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 343 | 2015 |
| Rnn fisher vectors for action recognition and image annotation G Lev, G Sadeh, B Klein, L Wolf Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 195 | 2016 |
| Fisher vectors derived from hybrid gaussian-laplacian mixture models for image annotation B Klein, G Lev, G Sadeh, L Wolf arXiv preprint arXiv:1411.7399, 2014 | 121 | 2014 |
| Viral transcript alignment G Sadeh, L Wolf, T Hassner, N Dershowitz, DS Ben-Ezra 2015 13th International Conference on Document Analysis and Recognition …, 2015 | 12 | 2015 |
| Joint visual-textual embedding for multimodal style search G Sadeh, L Fritz, G Shalev, E Oks arXiv preprint arXiv:1906.06620, 2019 | 10 | 2019 |
| Generating diverse and informative natural language fashion feedback G Sadeh, L Fritz, G Shalev, E Oks arXiv preprint arXiv:1906.06619, 2019 | 4 | 2019 |
| Dense correspondences and ancient texts T Hassner, L Wolf, N Dershowitz, G Sadeh, D Stökl Ben-Ezra Dense Image Correspondences for Computer Vision, 279-295, 2016 | 1 | 2016 |
| A deep learning model for predicting tumor-specific neoantigen mhc class i or class ii immunogenicity G Sadeh, D Heckerman, LC Price, FW Schmitz, AI SAFO, JK Grewal US Patent App. 17/617,665, 2023 | | 2023 |
| Training self-supervised peptide sequence models on artificially chopped proteins G Sadeh, Z Wang, J Grewal, H Rangwala, L Price arXiv preprint arXiv:2211.06428, 2022 | | 2022 |
