| 2025 | ICASSP | Automatic Detection of Domain Shifts in Speech Enhancement Systems Using Confidence-Based Metrics. | Lior Frankel, Shlomo E. Chazan, Jacob Goldberger |
| 2024 | ACL | The Power of Summary-Source Alignments. | Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan |
| 2024 | ECCV | De-confusing Pseudo-labels in Source-Free Domain Adaptation. | Idit Diamant, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer |
| 2024 | ECCV | Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. | Coby Penso, Jacob Goldberger |
| 2023 | ACL | Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. | Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan |
| 2023 | ACL | Conformal Nucleus Sampling. | Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger |
| 2023 | Interspeech | Domain Adaptation for Speech Enhancement in a Large Domain Gap. | Lior Frenkel, Jacob Goldberger, Shlomo E. Chazan |
| 2023 | MICCAI | PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. | Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger |
| 2022 | MICCAI | Calibration of Medical Imaging Classification Systems with Weight Scaling. | Lior Frenkel, Jacob Goldberger |
| 2022 | MICCAI | Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. | Shaya Goodman, Hayit Greenspan, Jacob Goldberger |
| 2022 | MICCAI | Unsupervised Site Adaptation by Intra-site Variability Alignment. | Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger |
| 2022 | NAACL | Long Context Question Answering via Supervised Contrastive Learning. | Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan |
| 2022 | NAACL | Proposition-Level Clustering for Multi-Document Summarization. | Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan |
| 2021 | CoNLL | Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. | Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan |
| 2021 | ICASSP | Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-Training. | Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot |
| 2021 | ICASSP | Factorized CRF with Batch Normalization Based on the Entire Training Data. | Eran Goldman, Jacob Goldberger |
| 2021 | MICCAI | Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. | Nimrod Sagie, Hayit Greenspan, Jacob Goldberger |
| 2020 | COLING | A Locally Linear Procedure for Word Translation. | Soham Dan, Hagai Taitelbaum, Jacob Goldberger |
| 2020 | ICASSP | K-Autoencoders Deep Clustering. | Yaniv Opochinsky, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger |
| 2020 | ICASSP | A Composite DNN Architecture for Speech Enhancement. | Yochai Yemini, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot |
| 2019 | CVPR | Precise Detection in Densely Packed Scenes. | Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner |
| 2019 | EMNLP | Multilingual word translation using auxiliary languages. | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger |
| 2019 | EMNLP | A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation. | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger |
| 2019 | ICASSP | Information-bottleneck Based on the Jensen-shannon Divergence with Applications to Pairwise Clustering. | Jacob Goldberger, Yaniv Opochinsky |
| 2019 | ICASSP | Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones. | Hagai Taitelbaum, Gal Chechik, Jacob Goldberger |
| 2019 | MICCAI | A Soft STAPLE Algorithm Combined with Anatomical Knowledge. | Eytan Kats, Jacob Goldberger, Hayit Greenspan |
| 2019 | NAACL | Aligning Vector-spaces with Noisy Supervised Lexicon. | Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg |
| 2018 | COLING | Self-Normalization Properties of Language Modeling. | Jacob Goldberger, Oren Melamud |
| 2018 | ICASSP | DNN-Based Concurrent Speakers Detector and its Application to Speaker Extraction with LCMV Beamforming. | Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot |
| 2018 | Interspeech | Adding New Classes without Access to the Original Training Data with Applications to Language Identification. | Hagai Taitelbaum, Ehud Ben-Reuven, Jacob Goldberger |
| 2017 | ACL | Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. | Oren Melamud, Jacob Goldberger |
| 2017 | EMNLP | A Simple Language Model based on PMI Matrix Approximations. | Oren Melamud, Ido Dagan, Jacob Goldberger |
| 2017 | ICLR | Training deep neural-networks using a noise adaptation layer. | Jacob Goldberger, Ehud Ben-Reuven |
| 2017 | MICCAI | Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. | Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan |
| 2017 | MICCAI | Atlas of Classifiers for Brain MRI Segmentation. | Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv |
| 2016 | CoNLL | context2vec: Learning Generic Context Embedding with Bidirectional LSTM. | Oren Melamud, Jacob Goldberger, Ido Dagan |
| 2016 | ICASSP | Training deep neural-networks based on unreliable labels. | Alan Joseph Bekker, Jacob Goldberger |
| 2016 | ICASSP | Combining soft decisions of several unreliable experts. | Jacob Goldberger |
| 2015 | CoNLL | Learning to Exploit Structured Resources for Lexical Inference. | Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger |
| 2015 | NAACL | Modeling Word Meaning in Context with Substitute Vectors. | Oren Melamud, Ido Dagan, Jacob Goldberger |
| 2014 | CoNLL | Focused Entailment Graphs for Open IE Propositions. | Omer Levy, Ido Dagan, Jacob Goldberger |
| 2014 | CoNLL | Probabilistic Modeling of Joint-context in Distributional Similarity. | Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret |
| 2014 | ICASSP | MIMO detection based on averaging Gaussian projections. | Jacob Goldberger |
| 2013 | ACL | A Two Level Model for Context Sensitive Inference Rules. | Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor |
| 2013 | ACL | Using Lexical Expansion to Learn Inference Rules from Sparse Data. | Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor |
| 2013 | ACL | PLIS: a Probabilistic Lexical Inference System. | Eyal Shnarch, Erel Segal-haLevi, Jacob Goldberger, Ido Dagan |
| 2013 | ISIT | Improved MIMO detection based on successive tree approximations. | Jacob Goldberger |
| 2012 | ACL | Efficient Tree-based Approximation for Entailment Graph Learning. | Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger |
| 2011 | ACL | Global Learning of Typed Entailment Rules. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2011 | ACL | A Probabilistic Modeling Framework for Lexical Entailment. | Eyal Shnarch, Jacob Goldberger, Ido Dagan |
| 2011 | EMNLP | Towards a Probabilistic Model for Lexical Entailment. | Eyal Shnarch, Jacob Goldberger, Ido Dagan |
| 2011 | MICCAI | X-ray Categorization and Spatial Localization of Chest Pathologies. | Uri Avni, Hayit Greenspan, Jacob Goldberger |
| 2010 | ACL | Global Learning of Focused Entailment Graphs. | Jonathan Berant, Ido Dagan, Jacob Goldberger |
| 2010 | ICML | Nonparametric Information Theoretic Clustering Algorithm. | Lev Faivishevsky, Jacob Goldberger |
| 2009 | ICASSP | MIMO decoding based on stochastic reconstruction from multiple projections. | Amir Leshem, Jacob Goldberger |
| 2009 | ICDM | Efficient Anonymizations with Enhanced Utility. | Jacob Goldberger, Tamir Tassa |
| 2008 | ACL | Contextual Preferences. | Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger |
| 2008 | ICDM | Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. | Anat Almog, Jacob Goldberger, Yuval Shavitt |
| 2008 | IGARSS | Detection of Urban Zones in Satellite Images using Visual Words. | Lior Weizman, Jacob Goldberger |
| 2007 | CVPR | An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. | Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss |
| 2007 | CVPR | Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. | Omer Rotem, Hayit Greenspan, Jacob Goldberger |
| 2007 | IGARSS | A classification-based linear projection of labeled hyperspectral data. | Lior Weizman, Jacob Goldberger |
| 2005 | Interspeech | A distance measure between GMMs based on the unscented transform and its application to speaker recognition. | Jacob Goldberger, Hagai Aronowitz |
| 2005 | MICCAI | Tissue Classification of Noisy MR Brain Images Using Constrained GMM. | Amit Ruf, Hayit Greenspan, Jacob Goldberger |
| 2003 | ICCV | An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. | Jacob Goldberger, Shiri Gordon, Hayit Greenspan |
| 2003 | ICCV | Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. | Shiri Gordon, Hayit Greenspan, Jacob Goldberger |
| 2002 | ECCV | A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. | Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer |
| 2002 | ICPR | Probabilistic Models for Generating, Modelling and Matching Image Categories. | Hayit Greenspan, Shiri Gordon, Jacob Goldberger |
| 2001 | IJCAI | Sequentially finding the N-Best List in Hidden Markov Models. | Dennis Nilsson, Jacob Goldberger |
| 1999 | ICCV | Registration of Multiple Point Sets using the EM Algorithm. | Jacob Goldberger |
| 1998 | ICASSP | Scaled random segmental models. | Jacob Goldberger, David Burshtein |
| 1997 | Interspeech | Segmental modeling using a continuous mixture of non-parametric models. | Jacob Goldberger, David Burshtein, Horacio Franco |