Oren Barkan

Orcid: 0000-0002-5059-0905

According to our database1, Oren Barkan authored at least 53 papers between 2011 and 2024.

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Bibliography

2024
In Search of Truth: An Interrogation Approach to Hallucination Detection.
CoRR, 2024

DiffMoog: a Differentiable Modular Synthesizer for Sound Matching.
CoRR, 2024

2023
GPT-Calls: Enhancing Call Segmentation and Tagging by Generating Synthetic Conversations via Large Language Models.
CoRR, 2023

Not All Memories Created Equal: Dynamic User Representations for Collaborative Filtering.
IEEE Access, 2023

Inversynth II: Sound Matching via Self-Supervised Synthesizer-Proxy and Inference-Time Finetuning.
Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

Stochastic Integrated Explanations for Vision Models.
Proceedings of the IEEE International Conference on Data Mining, 2023

Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models.
Proceedings of the IEEE International Conference on Data Mining, 2023

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Visual Explanations via Iterated Integrated Attributions.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Deep Integrated Explanations.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Interpreting BERT-based Text Similarity via Activation and Saliency Maps.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Metricbert: Text Representation Learning Via Self-Supervised Triplet Training.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Cold Item Integration in Deep Hybrid Recommenders via Tunable Stochastic Gates.
Proceedings of the IEEE International Conference on Data Mining, 2021

Cold Start Revisited: A Deep Hybrid Recommender with Cold-Warm Item Harmonization.
Proceedings of the IEEE International Conference on Acoustics, 2021

Anchor-based Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Representation Learning via Variational Bayesian Networks.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

GAM: Explainable Visual Similarity and Classification via Gradient Activation Maps.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
RecoBERT: A Catalog Language Model for Text-Based Recommendations.
CoRR, 2020

Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Cold Item Recommendations via Hierarchical Item2vec.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Neural Attentive Multiview Machines.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Attentive Item2vec: Neural Attentive User Representations.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Within-Between Lexical Relation Classification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Bayesian Hierarchical Words Representation Learning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
InverSynth: Deep Estimation of Synthesizer Parameter Configurations From Audio Signals.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

Multiscale Self Attentive Convolutions for Vision and Language Modeling.
CoRR, 2019

When actions speak louder than clicks: a combined model of purchase probability and long-term customer satisfaction.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

CB2CF: a neural multiview content-to-collaborative filtering model for completely cold item recommendations.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Deep Synthesizer Parameter Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Topics in Representation Learning
PhD thesis, 2018

2017
A Mathematical Model for Adaptive Computed Tomography Sensing.
IEEE Trans. Computational Imaging, 2017

Predicting Relevance Scores for Triples from Type-Like Relations using Neural Embedding - The Cabbage Triple Scorer at WSDM Cup 2017.
CoRR, 2017

Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

Bayesian Neural Word Embedding.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
The Deep Journey from Content to Collaborative Filtering.
CoRR, 2016

Modelling Session Activity with Neural Embedding.
Proceedings of the Poster Track of the 10th ACM Conference on Recommender Systems (RecSys 2016), 2016

Gaussian process regression for out-of-sample extension.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

ITEM2VEC: Neural item embedding for collaborative filtering.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Robust mixture models for anomaly detection.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2013
Evaluation of speech-based protocol for detection of early-stage dementia.
Proceedings of the INTERSPEECH 2013, 2013

On leveraging conversational data for building a text dependent speaker verification system.
Proceedings of the INTERSPEECH 2013, 2013

Fast High Dimensional Vector Multiplication Face Recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Diffusion maps for PLDA-based speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2013

Adaptive Compressed Tomography Sensing.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Mathematical Model for Extremely Low Dose Adaptive Computed Tomography Acquisition.
Proceedings of the Mathematical Methods for Curves and Surfaces, 2012

Efficient approximated i-vector extraction.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
New Developments in Joint Factor Analysis for Speaker Verification.
Proceedings of the INTERSPEECH 2011, 2011


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