20022022

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  • Conference contribution

    An alternating direction method for dual MAP LP relaxation

    Meshi, O. & Globerson, A., 2011, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2011, Proceedings. PART 2 ed. p. 470-483 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6912 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • An LP view of the M-best MAP problem

    Fromer, M. & Globerson, A., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 567-575 9 p. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Approximate inference using planar graph decomposition

    Globerson, A. & Jaakkola, T., 2007, Advances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference. p. 473-480 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • A simple and effective model for answering multi-span questions

    Segal, E., Efrat, A., Shoham, M., Globerson, A. & Berant, J., 2020, EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3074-3080 7 p. (EMNLP 2020 - 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • A Theoretical Analysis of Fine-tuning with Linear Teachers

    Shachaf, G., Brutzkus, A. & Globerson, A., 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. 15382-15394 13 p. (Advances in Neural Information Processing Systems; vol. 19).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • BERTese: Learning to speak to BERT

    Haviv, A., Berant, J. & Globerson, A., 2021, EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 3618-3623 6 p. (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Clusters and coarse partitions in LP relaxations

    Sontag, D., Globerson, A. & Jaakkola, T., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 1537-1544 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Collective entity resolution with multi-focal attention

    Globerson, A., Lazic, N., Chakrabarti, S., Subramanya, A., Ringgaard, M. & Pereira, F., 2016, 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers. Association for Computational Linguistics (ACL), p. 621-631 11 p. (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Long Papers; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convergence rate analysis of MAP coordinate minimization algorithms

    Meshi, O., Jaakkola, T. & Globerson, A., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 3014-3022 9 p. (Advances in Neural Information Processing Systems; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convergent message passing algorithms - A unifying view

    Meltzer, T., Globerson, A. & Weiss, Y., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 393-401 9 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convergent propagation algorithms via oriented trees

    Globerson, A. & Jaakkola, T., 2007, Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007. p. 133-140 8 p. (Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convexifying the Bethe free energy

    Meshi, O., Jaimovich, A., Globerson, A. & Friedman, N., 2009, Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009. AUAI Press, p. 402-410 9 p. (Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, UAI 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convex learning with invariances

    Teo, C. H., Globerson, A., Roweis, S. & Smola, A. J., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Curran Associates Inc., (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Convex learning with invariances

    Teo, C. H., Globerson, A., Roweis, S. & Smola, A. J., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Coreference resolution with entity equalization

    Kantor, B. & Globerson, A., 2020, ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 673-677 5 p. (ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Covariance estimation in time varying ARMA processes

    Wiesel, A. & Globerson, A., 2012, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012. p. 357-360 4 p. 6250510. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Cross-lingual alignment of contextual word embeddings, with applications to zero-shot dependency parsing

    Schuster, T., Ram, O., Barzilay, R. & Globerson, A., 2019, Long and Short Papers. Association for Computational Linguistics (ACL), p. 1599-1613 15 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 proceedingConference contributionpeer-review

  • DETReg: Unsupervised Pretraining with Region Priors for Object Detection

    Bar, A., Wang, X., Kantorov, V., Reed, C. J., Herzig, R., Chechik, G., Rohrbach, A., Darrell, T. & Globerson, A., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 14585-14595 11 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 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 proceedingConference contributionpeer-review

  • Discrete chebyshev classifiers

    Eban, E., Mezuman, E. & Globerson, A., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2982-2990 9 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Discriminative learning of infection models

    Rosenfeld, N., Nitzan, M. & Globerson, A., 8 Feb 2016, WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 563-572 10 p. (WSDM 2016 - Proceedings of the 9th ACM International Conference on Web Search and Data Mining).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Discriminative learning via semidefinite probabilistic models

    Crammer, K. & Globerson, A., 2006, Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006. p. 98-105 8 p. (Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Distributed latent variable models of lexical co-occurrences

    Blitzer, J., Globerson, A. & Pereira, F., 2005, AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics. p. 25-32 8 p. (AISTATS 2005 - Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Embedding heterogeneous data using statistical models

    Globerson, A., Chechik, G., Pereira, F. & Tishby, N., 2006, Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06. p. 1605-1608 4 p. (Proceedings of the National Conference on Artificial Intelligence; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Euclidean embedding of co-occurrence data

    Globerson, A., Chechik, G., Pereira, F. & Tishby, N., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Explaining in Style: Training a GAN to explain a classifier in StyleSpace

    Lang, O., Gandelsman, Y., Yarom, M., Wald, Y., Elidan, G., Hassidim, A., Freeman, W. T., Isola, P., Globerson, A., Irani, M. & Mosseri, I., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 673-682 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Explaining queries over web tables to non-experts

    Berant, J., Deutch, D., Globerson, A., Milo, T. & Wolfson, T., Apr 2019, Proceedings - 2019 IEEE 35th International Conference on Data Engineering, ICDE 2019. IEEE Computer Society, p. 1570-1573 4 p. 8731342. (Proceedings - International Conference on Data Engineering; vol. 2019-April).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Few-shot question answering by pretraining span selection

    Ram, O., Kirstain, Y., Berant, J., Globerson, A. & Levy, O., 2021, ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Zong, C., Xia, F., Li, W. & Navigli, R. (eds.). Association for Computational Linguistics (ACL), p. 3066-3079 14 p. (ACL-IJCNLP 2021 - 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Finding k-best solutions using LP relaxations

    Fromer, M. & Globerson, A., 2010, IEEE Information Theory Workshop 2010, ITW 2010. 5503229. (IEEE Information Theory Workshop 2010, ITW 2010).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations

    Globerson, A. & Jaakkola, T., 2008, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. Curran Associates Inc., (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Fixing max-product: Convergent message passing algorithms for MAP LP-relaxations

    Globerson, A. & Jaakkola, T., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Globally optimal gradient descent for a ConvNet with Gaussian inputs

    Brutzkus, A. & Globerson, A., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 980-1006 27 p. (34th International Conference on Machine Learning, ICML 2017; vol. 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Group redundancy measures reveal redundancy reduction in the auditory pathway

    Chechik, G., Globerson, A., Tishby, N., Anderson, M. J., Young, E. D. & Nelken, T., 2002, Advances in Neural Information Processing Systems 14 - Proceedings of the 2001 Conference, NIPS 2001. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Higher order matching for consistent multiple target tracking

    Arora, C. & Globerson, A., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 177-184 8 p. 6751131. (Proceedings of the IEEE International Conference on Computer Vision).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • How hard is inference for structured prediction?

    Globerson, A., Roughgarden, T., Sontag, D. & Yildirim, C., 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 2171-2180 10 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 3).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Improved parsing and POS tagging using inter-sentence consistency constraints

    Rush, A. M., Reichart, R., Collins, M. & Globerson, A., 2012, EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. p. 1434-1444 11 p. (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Inferring with high girth graphical models

    Heinemann, U. & Globerson, A., 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 3022-3041 20 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Information bottleneck for Gaussian variables

    Chechik, G., Globerson, A., Tishby, N. & Weiss, Y., 2004, Advances in Neural Information Processing Systems 16 - Proceedings of the 2003 Conference, NIPS 2003. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 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 proceedingConference contributionpeer-review

  • Learning efficiently with approximate inference via dual losses

    Meshi, O., Sontag, D., Jaakkola, T. & Globerson, A., 2010, ICML 2010 - Proceedings, 27th International Conference on Machine Learning. p. 783-790 8 p. (ICML 2010 - Proceedings, 27th International Conference on Machine Learning).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning infinite layer networks without the kernel trick

    Livni, R., Carmon, D. & Globerson, A., 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 3460-3469 10 p. (34th International Conference on Machine Learning, ICML 2017; vol. 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • 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 proceedingConference contributionpeer-review

  • Learning the experts for online sequence prediction

    Eban, E., Birnbaum, A., Shalev-Shwartz, S. & Globerson, A., 2012, Proceedings of the 29th International Conference on Machine Learning, ICML 2012. p. 879-886 8 p. (Proceedings of the 29th International Conference on Machine Learning, ICML 2012; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning to map into a universal POS tagset

    Zhang, Y., Reichart, R., Barzilay, R. & Globerson, A., 2012, EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference. p. 1368-1378 11 p. (EMNLP-CoNLL 2012 - 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning to optimize combinatorial functions

    Rosenfeld, N., Balkanski, E., Globerson, A. & Singer, Y., 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 6955-6964 10 p. (35th International Conference on Machine Learning, ICML 2018; vol. 10).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Learning to Retrieve Passages without Supervision

    Ram, O., Shachaf, G., Levy, O., Berant, J. & Globerson, A., 2022, NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference. Association for Computational Linguistics (ACL), p. 2687-2700 14 p. (NAACL 2022 - 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Lifted message passing as reparametrization of graphical models

    Mladenov, M., Globerson, A. & Kersting, K., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 603-612 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

    Herzig, R., Raboh, M., Chechik, G., Berant, J. & Globerson, A., 2018, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018). Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Curran Associates, Inc., 11 p. (Advances in Neural Information Processing Systems; vol. 31).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Metric learning by collapsing classes

    Globerson, A. & Roweis, S., 2005, Advances in Neural Information Processing Systems 18 - Proceedings of the 2005 Conference. p. 451-458 8 p. (Advances in Neural Information Processing Systems).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • More data means less inference: A pseudo-max approach to structured learning

    Sontag, D., Meshi, O., Jaakkola, T. & Globerson, A., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. (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 proceedingConference contributionpeer-review