Oren Barkan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 70

Top Topics

Collaborative Filtering

Item Recommendation

Bayesian Hierarchical Model

Top Venues

Publications

Noy Uzrad, Oren Barkan, Almog Elharar, Shlomi Shvartzman, Moshe Laufer, Lior Wolf, Noam Koenigstein
DiffMoog: a Differentiable Modular Synthesizer for Sound Matching. CoRR (2024)
Oren Barkan, Tom Shaked, Yonatan Fuchs, Noam Koenigstein
Modeling users' heterogeneous taste with diversified attentive user profiles. User Model. User Adapt. Interact. 34 (2) (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
In Search of Truth: An Interrogation Approach to Hallucination Detection. CoRR (2024)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis. ICASSP (2024)
Oren Barkan, Veronika Bogina, Liya Gurevitch, Yuval Asher, Noam Koenigstein
A Counterfactual Framework for Learning and Evaluating Explanations for Recommender Systems. WWW (2024)
Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers. ACL (1) (2024)
Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein
Unsupervised Topic-Conditional Extractive Summarization. ICASSP (2024)
Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. ICDM (2023)
Keren Gaiger, Oren Barkan, Shir Tsipory-Samuel, Noam Koenigstein
Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering. IEEE Access 11 (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CIKM (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. ICCV (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales. CIKM (2023)
Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein
Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Deep Integrated Explanations. CoRR (2023)
Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
Visual Explanations via Iterated Integrated Attributions. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Jonathan Weill, Yuval Asher, Amit Eshel, Noam Koenigstein
Stochastic Integrated Explanations for Vision Models. ICDM (2023)
Oren Barkan, Shlomi Shvartzman, Noy Uzrad, Moshe Laufer, Almog Elharar, Noam Koenigstein
Inversynth II: Sound Matching via Self-Supervised Synthesizer-Proxy and Inference-Time Finetuning. ISMIR (2023)
Oren Barkan, Yuval Asher, Amit Eshel, Yehonatan Elisha, Noam Koenigstein
Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models. CoRR (2023)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CoRR (2023)
Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein
Visual Explanations via Iterated Integrated Attributions. ICCV (2023)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. CoRR (2022)
Ori Katz, Oren Barkan, Noam Koenigstein, Nir Zabari
Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation. RecSys (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
Metricbert: Text Representation Learning Via Self-Supervised Triplet Training. ICASSP (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein
MetricBERT: Text Representation Learning via Self-Supervised Triplet Training. CoRR (2022)
Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Interpreting BERT-based Text Similarity via Activation and Saliency Maps. WWW (2022)
Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein
Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps. CIKM (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Noam Koenigstein
Anchor-based Collaborative Filtering. CIKM (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CoRR (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. CoRR (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. CoRR (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Yoni Weill, Noam Koenigstein
Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization. ICASSP (2021)
Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference. ACL/IJCNLP (Findings) (2021)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Representation Learning via Variational Bayesian Networks. CIKM (2021)
Oren Barkan, Roy Hirsch, Ori Katz, Avi Caciularu, Jonathan Weill, Noam Koenigstein
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates. ICDM (2021)
Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein
GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps. CIKM (2021)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
Optimizing BERT for Unlabeled Text-Based Items Similarity. EMNLP (Findings) (2020)
Oren Barkan, Avi Caciularu, Ido Dagan
Within-Between Lexical Relation Classification. EMNLP (1) (2020)
Oren Barkan, Ori Katz, Noam Koenigstein
Neural Attentive Multiview Machines. ICASSP (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding. AAAI (2020)
Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein
Bayesian Hierarchical Words Representation Learning. CoRR (2020)
Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
Attentive Item2vec: Neural Attentive User Representations. ICASSP (2020)
Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein
Cold Item Recommendations via Hierarchical Item2vec. ICDM (2020)
Oren Barkan, Idan Rejwan, Avi Caciularu, Noam Koenigstein
Bayesian Hierarchical Words Representation Learning. ACL (2020)
Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. CoRR (2020)
Oren Barkan, Ori Katz, Noam Koenigstein
Neural Attentive Multiview Machines. CoRR (2020)
Oren Barkan, Avi Caciularu, Ori Katz, Noam Koenigstein
Attentive Item2Vec: Neural Attentive User Representations. CoRR (2020)
Oren Barkan, Yonatan Fuchs, Avi Caciularu, Noam Koenigstein
Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. RecSys (2020)
Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein
RecoBERT: A Catalog Language Model for Text-Based Recommendations. CoRR (2020)
Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding. CoRR (2019)
Oren Barkan
Multiscale Self Attentive Convolutions for Vision and Language Modeling. CoRR (2019)
Oren Barkan, David Tsiris
Deep Synthesizer Parameter Estimation. ICASSP (2019)
Gal Lavee, Noam Koenigstein, Oren Barkan
When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction. RecSys (2019)
Oren Barkan, Noam Koenigstein, Eylon Yogev, Ori Katz
CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations. RecSys (2019)
Oren Barkan, David Tsiris, Ori Katz, Noam Koenigstein
InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals. IEEE ACM Trans. Audio Speech Lang. Process. 27 (12) (2019)
Oren Barkan, David Tsiris
Deep Synthesizer Parameter Estimation. CoRR (2018)
Yael Brumer, Bracha Shapira, Lior Rokach, Oren Barkan
Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017. CoRR (2017)
Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai
Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. WSDM (2017)
Oren Barkan
Bayesian Neural Word Embedding. AAAI (2017)
Oren Barkan, Jonathan Weill, Shai Dekel, Amir Averbuch
A Mathematical Model for Adaptive Computed Tomography Sensing. IEEE Trans. Computational Imaging 3 (4) (2017)
Oren Barkan, Noam Koenigstein
Item2Vec: Neural Item Embedding for Collaborative Filtering. CoRR (2016)
Oren Barkan
Bayesian Neural Word Embedding. CoRR (2016)
Oren Barkan, Yael Brumer, Noam Koenigstein
Modelling Session Activity with Neural Embedding. RecSys Posters (2016)
Oren Barkan, Jonathan Weill, Amir Averbuch
Gaussian process regression for out-of-sample extension. MLSP (2016)
Oren Barkan, Noam Koenigstein
Item2vec: Neural Item Embedding for Collaborative Filtering. RecSys Posters (2016)
Oren Barkan, Noam Koenigstein
ITEM2VEC: Neural item embedding for collaborative filtering. MLSP (2016)
Oren Barkan, Jonathan Weill, Amir Averbuch
Gaussian Process Regression for Out-of-Sample Extension. CoRR (2016)
Oren Barkan, Amir Averbuch
Robust mixture models for anomaly detection. MLSP (2016)
Oren Barkan, Noam Koenigstein, Eylon Yogev
The Deep Journey from Content to Collaborative Filtering. CoRR (2016)
Aharon Satt, Alexander Sorin, Orith Toledo-Ronen, Oren Barkan, Ioannis Kompatsiaris, Athina Kokonozi, Magda Tsolaki
Evaluation of speech-based protocol for detection of early-stage dementia. INTERSPEECH (2013)
Oren Barkan, Jonathan Weill, Amir Averbuch, Shai Dekel
Adaptive Compressed Tomography Sensing. CVPR (2013)
Hagai Aronowitz, Oren Barkan
On leveraging conversational data for building a text dependent speaker verification system. INTERSPEECH (2013)
Oren Barkan, Jonathan Weill, Lior Wolf, Hagai Aronowitz
Fast High Dimensional Vector Multiplication Face Recognition. ICCV (2013)
Oren Barkan, Hagai Aronowitz
Diffusion maps for PLDA-based speaker verification. ICASSP (2013)
Oren Barkan, Amir Averbuch, Shai Dekel, Yaniv Tenzer
A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition. MMCS (2012)
Hagai Aronowitz, Oren Barkan
Efficient approximated i-vector extraction. ICASSP (2012)
Hagai Aronowitz, Oren Barkan
New Developments in Joint Factor Analysis for Speaker Verification. INTERSPEECH (2011)