Papers citing 'Representation Learning via Variational Bayesian Networks'

Title
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box ModelsIndustrial Conference on Data Mining (IDM), 2023 Oren Barkan Yuval Asher Amit Eshel Yehonatan Elisha Noam Koenigstein 156 6 0 25 Oct 2023
Deep Integrated ExplanationsInternational Conference on Information and Knowledge Management (CIKM), 2023 Oren Barkan Yehonatan Elisha Jonathan Weill Yuval Asher Amit Eshel Noam Koenigstein FAtt 250 7 0 23 Oct 2023
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and BeyondIEEE International Conference on Computer Vision (ICCV), 2023 Oren Barkan Tal Reiss Jonathan Weill Ori Katz Roy Hirsch Itzik Malkiel Noam Koenigstein 217 7 0 28 Aug 2023
Interpreting BERT-based Text Similarity via Activation and Saliency MapsThe Web Conference (WWW), 2022 Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Jonathan Weill Noam Koenigstein 150 22 0 13 Aug 2022
MetricBERT: Text Representation Learning via Self-Supervised Triplet TrainingIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Itzik Malkiel Dvir Ginzburg Oren Barkan Avi Caciularu Yoni Weill Noam Koenigstein SSL 192 13 0 13 Aug 2022
TransDrift: Modeling Word-Embedding Drift using TransformerThe Web Conference (WWW), 2022 Nishtha Madaan Prateek Chaudhury Nishant Kumar Srikanta J. Bedathur 181 2 0 16 Jun 2022
Grad-SAM: Explaining Transformers via Gradient Self-Attention MapsInternational Conference on Information and Knowledge Management (CIKM), 2021 Oren Barkan Edan Hauon Avi Caciularu Ori Katz Itzik Malkiel Omri Armstrong Noam Koenigstein 145 55 0 23 Apr 2022
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates Oren Barkan Roy Hirsch Ori Katz Avi Caciularu Jonathan Weill Noam Koenigstein 171 10 0 12 Dec 2021