Itzik Malkiel

According to our database, Itzik Malkiel authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein

CoRR, 2024

Unsupervised Topic-Conditional Extractive Summarization.

Itzik Malkiel, Yakir Yehuda, Jonathan Ephrath, Ori Katz, Oren Barkan, Nir Nice, Noam Koenigstein

Proceedings of the IEEE International Conference on Acoustics, 2024

SEGLLM: Topic-Oriented Call Segmentation Via LLM-Based Conversation Synthesis.

Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

Proceedings of the IEEE International Conference on Acoustics, 2024

InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.

Yakir Yehuda, Itzik Malkiel, Oren Barkan, Jonathan Weill, Royi Ronen, Noam Koenigstein

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

CoRR, 2023

Pre-Training Transformers for Fingerprinting to Improve Stress Prediction in fMRI.

Gony Rosenman, Itzik Malkiel, Ayam Greental, Talma Hendler, Lior Wolf

Proceedings of the Medical Imaging with Deep Learning, 2023

Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond.

Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Harnessing GPT for Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales.

Itzik Malkiel, Uri Alon, Yakir Yehuda, Shahar Keren, Oren Barkan, Royi Ronen, Noam Koenigstein

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Interpreting BERT-based Text Similarity via Activation and Saliency Maps.

Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Jonathan Weill, Noam Koenigstein

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Self-Supervised Transformers for fMRI representation.

Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Metricbert: Text Representation Learning Via Self-Supervised Triplet Training.

Itzik Malkiel, Dvir Ginzburg, Oren Barkan, Avi Caciularu, Yoni Weill, Noam Koenigstein

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Pre-training and Fine-tuning Transformers for fMRI Prediction Tasks.

Itzik Malkiel, Gony Rosenman, Lior Wolf, Talma Hendler

CoRR, 2021

Adaptive Gradient Balancing for Undersampled MRI Reconstruction and Image-to-Image Translation.

Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy

Proceedings of the IEEE International Conference on Computational Photography, 2021

MTAdam: Automatic Balancing of Multiple Training Loss Terms.

Itzik Malkiel, Lior Wolf

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Caption Enriched Samples for Improving Hateful Memes Detection.

Efrat Blaier, Itzik Malkiel, Lior Wolf

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Maximal Multiverse Learning for Promoting Cross-Task Generalization of Fine-Tuned Language Models.

Itzik Malkiel, Lior Wolf

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Grad-SAM: Explaining Transformers via Gradient Self-Attention Maps.

Oren Barkan, Edan Hauon, Avi Caciularu, Ori Katz, Itzik Malkiel, Omri Armstrong, Noam Koenigstein

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.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

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.

Oren Barkan, Omri Armstrong, Amir Hertz, Avi Caciularu, Ori Katz, Itzik Malkiel, Noam Koenigstein

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.

Dvir Ginzburg, Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

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

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

CoRR, 2020

Cold Item Recommendations via Hierarchical Item2vec.

Oren Barkan, Avi Caciularu, Idan Rejwan, Ori Katz, Jonathan Weill, Itzik Malkiel, Noam Koenigstein

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Optimizing BERT for Unlabeled Text-Based Items Similarity.

Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, Noam Koenigstein

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Scalable Attentive Sentence Pair Modeling via Distilled Sentence Embedding.

Oren Barkan, Noam Razin, Itzik Malkiel, Ori Katz, Avi Caciularu, Noam Koenigstein

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Spectra2pix: Generating Nanostructure Images from Spectra.

Itzik Malkiel, Michael Mrejen, Lior Wolf, Haim Suchowski

CoRR, 2019

MML: Maximal Multiverse Learning for Robust Fine-Tuning of Language Models.

Itzik Malkiel, Lior Wolf

CoRR, 2019

Conditional WGANs with Adaptive Gradient Balancing for Sparse MRI Reconstruction.

Itzik Malkiel, Sangtae Ahn, Valentina Taviani, Anne Menini, Lior Wolf, Christopher J. Hardy

CoRR, 2019

2018

Deep learning for the design of nano-photonic structures.

Itzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf, Haim Suchowski

Proceedings of the 2018 IEEE International Conference on Computational Photography, 2018