Oren Barkan
Cited by
Cited by
Item2vec: neural item embedding for collaborative filtering
O Barkan, N Koenigstein
2016 IEEE Machine Learning for Signal Processing (MLSP), 2016
Bayesian neural word embedding
O Barkan
Thirty-First AAAI Conference on Artificial Intelligence, 2017, 2017
Fast high dimensional vector multiplication face recognition
O Barkan, J Weill, L Wolf, H Aronowitz
Proceedings of the IEEE International Conference on Computer Vision, 1960-1967, 2013
Evaluation of speech-based protocol for detection of early-stage dementia.
A Satt, A Sorin, O Toledo-Ronen, O Barkan, I Kompatsiaris, A Kokonozi, ...
INTERSPEECH, 1692-1696, 2013
CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations
O Barkan, N Koenigstein, E Yogev, O Katz
Proceedings of the 13th ACM Conference on Recommender Systems, 228-236, 2019
Video upload system
O Barkan, E Barkan
US Patent App. 12/219,877, 2009
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding
O Barkan, N Razin, I Malkiel, O Katz, A Caciularu, N Koenigstein
AAAI 2020, 2020
Efficient approximated i-vector extraction
H Aronowitz, O Barkan
2012 IEEE international conference on acoustics, speech and signal …, 2012
Explainable recommendations via attentive multi-persona collaborative filtering
O Barkan, Y Fuchs, A Caciularu, N Koenigstein
Proceedings of the 14th ACM Conference on Recommender Systems, 468-473, 2020
On leveraging conversational data for building a text dependent speaker verification system.
H Aronowitz, O Barkan
Interspeech, 2470-2473, 2013
Attentive Item2vec: Neural Attentive User Representations
O Barkan, A Caciularu, O Katz, N Koenigstein
IEEE ICASSP 2020, 2020
InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals
O Barkan, D Tsiris, O Katz, N Koenigstein
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (12 …, 2019
Adaptive compressed tomography sensing
O Barkan, J Weill, A Averbuch, S Dekel
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
Forecasting CPI Inflation Components with Hierarchical Recurrent Neural Networks
O Barkan, J Benchimol, I Caspi, E Cohen, A Hammer, N Koenigstein
International Journal of Forecasting, 2022
RecoBERT: A Catalog Language Model for Text-Based Recommendations
I Malkiel, O Barkan, A Caciularu, N Razin, O Katz, N Koenigstein
arXiv preprint arXiv:2009.13292, 2020
Groove radio: A bayesian hierarchical model for personalized playlist generation
S Ben-Elazar, G Lavee, N Koenigstein, O Barkan, H Berezin, U Paquet, ...
Proceedings of the Tenth ACM International Conference on Web Search and Data …, 2017
Low-power idle mode for network transceiver
H Sedarat, O Barkan, W Woodruff
US Patent 8,156,359, 2012
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
D Ginzburg, I Malkiel, O Barkan, A Caciularu, N Koenigstein
arXiv preprint arXiv:2106.01186, 2021
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps
O Barkan, E Hauon, A Caciularu, O Katz, I Malkiel, O Armstrong, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
Robust mixture models for anomaly detection
O Barkan, A Averbuch
2016 IEEE Machine Learning for Signal Processing (MLSP), 1-6, 2016
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