The Leslie and Susan Gonda Multidisciplinary Brain Research Center

Research output

Research output per year 1990 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

• 12410 Citations
• 57 h-index
• 440 Article
• 158 Paper
• 70 Other contribution
• 37 Conference contribution
• 105 More
  • 34 Chapter
  • 21 Review article
  • 13 Meeting Abstract
  • 13 Comment/debate
  • 8 Preprint
  • 6 Working paper
  • 3 Editorial
  • 3 Patent
  • 2 Conference article
  • 1 Entry for encyclopedia/dictionary
  • 1 Short survey

Research output per year

Research output per year

Search results

• 2022

  Coupled Training for Multi-Source Domain Adaptation

  Amosy, O. & Chechik, G., 2022, Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022. Institute of Electrical and Electronics Engineers Inc., p. 1071-1080 10 p. (Proceedings - 2022 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
  1 Scopus citations

• Reinforcement Learning for Datacenter Congestion Control

  Tessler, C., Shpigelman, Y., Dalal, G., Mandelbaum, A., Kazakov, D. H., Fuhrer, B., Chechik, G. & Mannor, S., 30 Jun 2022, IAAI-22, EAAI-22, AAAI-22 Special Programs and Special Track, Student Papers and Demonstrations. Association for the Advancement of Artificial Intelligence, p. 12615-12621 7 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Reinforcement learning 100%
  • Observability 18%
  • Telecommunication networks 14%
  • Learning algorithms 13%
  • Derivatives 13%
  1 Scopus citations
• 2021

  Deep Ranking-Based DOA Tracking Algorithm

  Opochinsky, R., Chechik, G. & Gannot, S., 2021, 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings. European Signal Processing Conference, EUSIPCO, p. 1020-1024 5 p. (European Signal Processing Conference; vol. 2021-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Large dataset 100%
  • Deep neural networks 89%
  • Deep learning 82%
  • Acoustics 75%
  • Trajectories 64%
  4 Scopus citations

• From generalized zero-shot learning to long-tail with class descriptors

  Samuel, D., Atzmon, Y. & Chechik, G., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. Institute of Electrical and Electronics Engineers Inc., p. 286-295 10 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Electric fuses 100%
  • Fusion reactions 77%
  19 Scopus citations

• Personalized Federated Learning with Gaussian Processes

  Achituve, I., Shamsian, A., Navon, A., Chechik, G. & Fetaya, E., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 8392-8406 15 p. (Advances in Neural Information Processing Systems; vol. 11).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Deep learning 100%
  • Classifiers 79%
  • Neural networks 67%
  • Communication 56%
  • Costs 42%
  22 Scopus citations

• Self-supervised learning for domain adaptation on point clouds

  Achituve, I., Maron, H. & Chechik, G., Jan 2021, Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021. Institute of Electrical and Electronics Engineers Inc., p. 123-133 11 p. (Proceedings - 2021 IEEE Winter Conference on Applications of Computer Vision, WACV 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Supervised learning 100%
  70 Scopus citations
• 2020

  Contrastive Learning for Weakly Supervised Phrase Grounding

  Gupta, T., Vahdat, A., Chechik, G., Yang, X., Kautz, J. & Hoiem, D., 2020, Computer Vision – ECCV 2020 - 16th European Conference 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 752-768 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12348 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Electric grounding 100%
  • Learning 85%
  • Training 49%
  • Maximise 44%
  • Language Model 37%
  27 Scopus citations

• Differentiable scene graphs

  Raboh, M., Herzig, R., Berant, J., Chechik, G. & Globerson, A., Mar 2020, Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020. Institute of Electrical and Electronics Engineers Inc., p. 1477-1486 10 p. 9093297. (Proceedings - 2020 IEEE Winter Conference on Applications of Computer Vision, WACV 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Genomics 100%
  • Labels 81%
  18 Scopus citations

• Learning Canonical Representations for Scene Graph to Image Generation

  Herzig, R., Bar, A., Xu, H., Chechik, G., Darrell, T. & Globerson, A., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 210-227 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12371 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Canonical Representation 100%
  • Learning 69%
  • Vision 39%
  • Graph in graph theory 35%
  • Genomics 26%
  25 Scopus citations

• Learning Object Permanence from Video

  Shamsian, A., Kleinfeld, O., Globerson, A. & Chechik, G., 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 35-50 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12361 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Learning Objects 100%
  • Permanence 57%
  • Object 34%
  • Labels 14%
  • Architecture 9%
  8 Scopus citations

• Null it out: Guarding protected attributes by iterative nullspace projection

  Ravfogel, S., Elazar, Y., Gonen, H., Twiton, M. & Goldberg, Y., 2020, ACL 2020 - 58th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 7237-7256 20 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • projection 100%
  • Classifiers 75%
  • Classifier 63%
  • fairness 49%
  • Fairness 48%
  121 Scopus citations

• The Extraordinary Failure of Complement Coercion Crowdsourcing

  Elazar, Y., Basmova, V., Ravfogel, S., Goldberg, Y. & Tsarfaty, R., 2020, Proceedings of the First Workshop on Insights from Negative Results in NLP, Insights 2020, Online, November 19, 2020. Rogers, A., Sedoc, J. & Rumshisky, A. (eds.). Association for Computational Linguistics, p. 106-116 11 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Crowdsourcing 100%
  • Labeled data 49%
  • Linguistics 40%

• ZEST: Zero-shot learning from text descriptions using textual similarity and visual summarization

  Paz-Argaman, T., Atzmon, Y., Chechik, G. & Tsarfaty, R., 2020, Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020. Association for Computational Linguistics (ACL), p. 569-579 11 p. (Findings of the Association for Computational Linguistics Findings of ACL: EMNLP 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Summarization 100%
  • Birds 77%
  • Vision 68%
  • Text 62%
  • Learning 60%
  2 Scopus citations
• 2019

  Adaptive confidence smoothing for generalized zero-shot learning

  Atzmon, Y. & Chechik, G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 11663-11672 10 p. 8953714. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Classifiers 100%
  • Semantics 48%
  68 Scopus citations

• A multi-pairwise extension of Procrustes analysis for multilingual word translation

  Taitelbaum, H., Chechik, G. & Goldberger, J., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 3560-3565 6 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Procrustes Analysis 100%
  • Glossaries 58%
  • Pairwise 53%
  • Dictionary 29%
  • Natural Extension 12%
  6 Scopus citations

• Deep ranking-based sound source localization

  Opochinsky, R., Laufer-Goldshtein, B., Gannot, S. & Chechik, G., Oct 2019, 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2019. Institute of Electrical and Electronics Engineers Inc., p. 283-287 5 p. 8937159. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Reverberation 100%
  • Acoustic waves 95%
  • Anchors 82%
  • Acoustics 66%
  • Labeled data 47%
  17 Scopus citations

• Informative object annotations: Tell me something i don't know

  Bracha, L. & Chechik, G., Jun 2019, Proceedings - 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. IEEE Computer Society, p. 12499-12507 9 p. 8954188. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2019-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Labels 100%
  • Image understanding 39%
  • Uncertainty 36%
  • Entropy 24%
  • Communication 14%
  2 Scopus citations

• Joint optimization for cooperative image captioning

  Vered, G., Oren, G., Atzmon, Y. & Chechik, G., Oct 2019, Proceedings - 2019 International Conference on Computer Vision, ICCV 2019. Institute of Electrical and Electronics Engineers Inc., p. 8897-8906 10 p. 9010870. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2019-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Sampling 100%
  • Communication 35%
  11 Scopus citations

• Learning with per-sample side information

  Visotsky, R., Atzmon, Y. & Chechik, G., 2019, Artificial General Intelligence - 12th International Conference, AGI 2019, Proceedings. Hammer, P., Agrawal, P., Goertzel, B. & Iklé, M. (eds.). Springer Verlag, p. 209-219 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11654 LNAI).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Side Information 100%
  • Learning 64%
  • Birds 40%
  • Computer vision 29%
  • Machine Vision 19%
  2 Scopus citations

• Multilingual word translation using auxiliary languages

  Taitelbaum, H., Chechik, G. & Goldberger, J., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 1330-1335 6 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Language 100%
  • Experiments 24%
  • Benchmark 22%
  • Learning 20%
  • Target 19%
  5 Scopus citations

• Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones

  Taitelbaum, H., Chechik, G. & Goldberger, J., May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 3637-3641 5 p. 8682848. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Classifiers 100%
  • Image classification 75%
  • Distillation 73%
  2 Scopus citations

• Studying the inductive biases of RNNs with synthetic variations of natural languages

  Ravfogel, S., Goldberg, Y. & Linzen, T., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 3532-3542 11 p. (NAACL HLT 2019 - 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - Proceedings of the Conference; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Syntactics 100%
  • Natural Language 93%
  • Morphological Case 75%
  • Subject-object-verb 73%
  • English People 70%
  30 Scopus citations
• 2018

  Probabilistic AND-OR attribute grouping for zero-shot learning

  Atzmon, Y. & Chechik, G., 2018, 34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018. Globerson, A., Globerson, A. & Silva, R. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 382-392 11 p. (34th Conference on Uncertainty in Artificial Intelligence 2018, UAI 2018; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Relaxation 100%
  • Statistical Models 97%
  • Classifiers 75%
  • Semantics 73%
  19 Scopus citations

• Stimulus dependence of population receptive fields within the visual field maps and the visual word form area

  Le, R., Gafni, C., Ben-Shachar, M. & Wandell, B., 1 Sep 2018, Vision Sciences Society Annual Meeting Abstract. 10 ed. Vol. 18, no 10. p. 249 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  Open Access

  • Visual Fields 100%
  • Population 38%
  • Language 22%
  • Magnetic Resonance Imaging 18%
  • Psychology Recognition 12%
• 2017

  Chromatic multifocal pupillometer for objective early diagnosis of mild cognitive impairment

  Rotenstreich, Y., Ben-Ner, D., Sharvit-Ginon, I., Ravona-Springer, R., Beeri, M. & Sher, I., 2017, Opthalmic Technologies XXVII. Soderberg, P. G., Ho, A. & Manns, F. (eds.). SPIE, 100451Z. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 10045).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Light Red 100%
  • impairment 99%
  • Light Blue 91%
  • Pupil 89%
  • Color 67%

• DeepBrain: Functional representation of neural in-situ hybridization images for gene ontology classification using deep convolutional autoencoders

  Cohen, I., David, E. O., Netanyahu, N. S., Liscovitch, N. & Chechik, G., 2017, Artificial Neural Networks and Machine Learning – ICANN 2017 - 26th International Conference on Artificial Neural Networks, Proceedings. Lintas, A., Villa, A. E., Rovetta, S. & Verschure, P. F. (eds.). Springer Verlag, p. 287-296 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10614 LNCS).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • In Situ Hybridization 100%
  • Gene Ontology 92%
  • Genes 50%
  • Ontology 44%
  • Denoising 41%
  3 Scopus citations
• 2016

  The field of view of word-responsive regions in visual cortex

  Le, R., Wandell, B., Ben-Shachar, M. & Witthoft, N., 1 Sep 2016, Vision Sciences Society Annual Meeting Abstract. 12 ed. p. 1426 1 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  Open Access
• 2015

  Probabilistic graphical models of dyslexia

  Lakretz, Y., Chechik, G., Friedmann, N. & Rosen-Zvi, M., 10 Aug 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 1919-1928 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Labels 100%
  10 Scopus citations

• Space and human perception - Exploring our reaction to different geometries of spaces

  Shemesh, A., Bar, M. & Grobman, Y. J., 2015, CAADRIA 2015 - 20th International Conference on Computer-Aided Architectural Design Research in Asia: Emerging Experiences in the Past, Present and Future of Digital Architecture. Schnabel, M. A., Herr, C. M., Kaijima, S., Kim, M. J., Holzer, D. & Ikeda, Y. (eds.). The Association for Computer-Aided Architectural Design Research in Asia (CAADRIA), p. 541-550 10 p. (CAADRIA 2015 - 20th International Conference on Computer-Aided Architectural Design Research in Asia: Emerging Experiences in the Past, Present and Future of Digital Architecture).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Geometry 100%
  • Architectural design 47%
  • Electroencephalography 39%
  • Virtual reality 36%
  • Visualization 31%
  18 Scopus citations
• 2014

  Coordinate-descent for learning orthogonal matrices through Givens rotations

  Shalit, U. & Chechik, G., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 833-845 13 p. (31st International Conference on Machine Learning, ICML 2014; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Tensors 100%
  • Decomposition 72%
  • Messenger RNA 71%
  • Genomics 52%
  • Brain 41%
  11 Scopus citations
• 2012

  Accurate automatic detection of the subthalamic nucleus subdomains

  Shamir, R., Zaidel, A., Joskowicz, L., Bergman, H., Eitan, R. & Israel, Z., 2012, 16th Annual conference of the international society for computer aided surgery.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

• Adaptive regularization for weight matrices

  Crammer, K. & Chechik, G., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 425-432 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Covariance matrix 100%
  • performance 90%
  • ranking 86%
  • learning 66%
  • experiment 58%
  9 Scopus citations

• Deep brain stimulation surgery time reduction based on the automatic detection of the subthalamic nucleus: method and preliminary results

  Shamir, R. R., Zaidel, A., Joskowicz, L., Bergman, H. & Israel, Z., 2012, MICCAI Workshop on DBS Methodological Challenges.

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Subthalamic Nucleus 100%
  • Deep Brain Stimulation 91%
  • Microelectrodes 58%
  • Costs and Cost Analysis 8%
  • Therapeutics 4%
• 2010

  Biomedical super resolved imaging using special micro-probe

  Zalevsky, Z., Shahmoon, A. & Slovin, H., 2010, 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010. 5702797. (2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2010).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Visualization 100%
  • Imaging techniques 99%
  • Inspection 98%
  • Pixels 97%

• Object separation in X-ray image sets

  Heitz, G. & Chechik, G., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 2093-2100 8 p. 5539887. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • X rays 100%
  • Set theory 70%
  • Photons 26%
  • Image segmentation 20%
  • Pixels 16%
  38 Scopus citations

• Online learning in the manifold of low-rank matrices

  Shalit, U., Weinshall, D. & Chechik, G., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Data storage equipment 100%
  • Image classification 58%
  • Singular value decomposition 56%
  • Labels 46%
  • Set theory 35%
  23 Scopus citations
• 2009

  Scalable classification in large scale spatiotemporal domains applied to voltage-sensitive dye imaging

  Vainer, I., Kraus, S., Kaminka, G. A. & Slovin, H., 2009, ICDM 2009 - The 9th IEEE International Conference on Data Mining. p. 543-551 9 p. 5360280. (Proceedings - IEEE International Conference on Data Mining, ICDM).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

  • Dyes 100%
  • Imaging techniques 67%
  • Electric potential 45%
  • Feature extraction 33%
  • Neuroimaging 29%
  5 Scopus citations