Jacob Goldberger

228 papers A* 12A 3B 10C 1Misc 13Journal 92Unranked 96

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Automatic Detection of Domain Shifts in Speech Enhancement Systems Using Confidence-Based Metrics. ICASSP Lior Frankel, Shlomo E. Chazan, Jacob Goldberger
2025	—	`conf`	Calibrating Without Labels: Source-Free Conformal Prediction Using Pseudo-Labels. COPA Shachar Angelman, Rotem Nizhar, Jacob Goldberger
2025	—	`conf`	Conformal Prediction of Classifiers with Many Classes based on Noisy Labels. COPA Coby Penso, Jacob Goldberger, Ethan Fetaya
2025	J	`jnl`	Detect and Correct: A Selective Noise Correction Method for Learning with Noisy Labels. CoRR Yuval Grinberg, Nimrod Harel, Jacob Goldberger, Ofir Lindenbaum
2025	J	`jnl`	Efficient Conformal Prediction for Regression Models under Label Noise. CoRR Yahav Cohen, Jacob Goldberger, Tom Tirer
2025	—	`conf`	Enhancing Retinal Disease Detection: a Self-Training Approach for Unsupervised Domain Adaptation. SPA Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2025	J	`jnl`	Estimating the Conformal Prediction Threshold from Noisy Labels. CoRR Coby Penso, Jacob Goldberger, Ethan Fetaya
2025	J	`jnl`	MoGU: Mixture-of-Gaussians with Uncertainty-based Gating for Time Series Forecasting. CoRR Yoli Shavit, Jacob Goldberger
2025	—	`conf`	Privacy-Preserving Conformal Prediction Under Local Differential Privacy. COPA Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet
2025	J	`jnl`	Privacy-Preserving Conformal Prediction Under Local Differential Privacy. CoRR Coby Penso, Bar Mahpud, Jacob Goldberger, Or Sheffet
2025	—	`conf`	Source Free Domain Adaptation with Pseudo-Labeling Quality Assessed by Sam in Fundus Image Segmentation. ISBI Bar Yaacovi, Jacob Goldberger
2024	J	`jnl`	A Conformal Prediction Score that is Robust to Label Noise. CoRR Coby Penso, Jacob Goldberger
2024	—	`conf`	A Conformalized Learning of a Prediction Set with Applications to Medical Imaging Classification. ISBI Roy Hirsch, Jacob Goldberger
2024	—	`conf`	A Joint Training and Confidence Calibration Procedure That is Robust to Label Noise. ISBI Coby Penso, Jacob Goldberger
2024	J	`jnl`	A conformalized learning of a prediction set with applications to medical imaging classification. CoRR Roy Hirsch, Jacob Goldberger
2024	—	`conf`	Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. ECCV Workshops (17) Coby Penso, Jacob Goldberger
2024	J	`jnl`	Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy. CoRR Coby Penso, Jacob Goldberger
2024	J	`jnl`	Confidence Calibration of a Medical Imaging Classification System That is Robust to Label Noise. IEEE Trans. Medical Imaging Coby Penso, Lior Frenkel, Jacob Goldberger
2024	—	`conf`	De-confusing Pseudo-labels in Source-Free Domain Adaptation. ECCV (79) Idit Diamant, Amir Rosenfeld, Idan Achituve, Jacob Goldberger, Arnon Netzer
2024	J	`jnl`	Domain Adaptation Using Suitable Pseudo Labels for Speech Enhancement and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. Lior Frenkel, Shlomo E. Chazan, Jacob Goldberger
2024	—	`conf`	Noise-Robust Conformal Prediction for Medical Image Classification. MLMI@MICCAI (2) Coby Penso, Jacob Goldberger
2024	—	`conf`	The Power of Summary-Source Alignments. ACL (Findings) Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan
2024	J	`jnl`	The Power of Summary-Source Alignments. CoRR Ori Ernst, Ori Shapira, Aviv Slobodkin, Sharon Adar, Mohit Bansal, Jacob Goldberger, Ran Levy, Ido Dagan
2023	J	`jnl`	An entangled mixture of variational autoencoders approach to deep clustering. Neurocomputing Avi Caciularu, Jacob Goldberger
2023	—	`conf`	Calibration of A Regression Network Based on the Predictive Variance with Applications to Medical Images. ISBI Lior Frenkel, Jacob Goldberger
2023	—	`conf`	Conformal Nucleus Sampling. ACL (Findings) Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger
2023	J	`jnl`	Conformal Nucleus Sampling. CoRR Shauli Ravfogel, Yoav Goldberg, Jacob Goldberger
2023	A	`conf`	Domain Adaptation for Speech Enhancement in a Large Domain Gap. INTERSPEECH Lior Frenkel, Jacob Goldberger, Shlomo E. Chazan
2023	—	`conf`	PLPP: A Pseudo Labeling Post-Processing Strategy for Unsupervised Domain Adaptation. ISBI Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2023	—	`conf`	PLST: A Pseudo-labels with a Smooth Transition Strategy for Medical Site Adaptation. DART@MICCAI Tomer Bar Natan, Hayit Greenspan, Jacob Goldberger
2023	—	`conf`	Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
2023	J	`jnl`	Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
2023	J	`jnl`	Supervised Domain Adaptation by transferring both the parameter set and its gradient. Neurocomputing Shaya Goodman, Hayit Greenspan, Jacob Goldberger
2023	—	`conf`	Utilizing Perturbation of Atoms' Positions for Equivariant Pre-Training in 3D Molecular Analysis. MLSP Tal Kiani, Avi Caciularu, Shani Zev, Dan Thomas Major, Jacob Goldberger
2022	—	`conf`	Adaptation of a Multi-Site Network to a New Clinical Site Via Batch-Normalization Similarity. ISBI Shira Kasten Serlin, Jacob Goldberger, Hayit Greenspan
2022	—	`conf`	Calibration of Medical Imaging Classification Systems with Weight Scaling. MICCAI (8) Lior Frenkel, Jacob Goldberger
2022	—	`conf`	Class-Based Attention Mechanism for Chest Radiograph Multi-Label Categorization. ISBI David Sriker, Hayit Greenspan, Jacob Goldberger
2022	—	`conf`	Long Context Question Answering via Supervised Contrastive Learning. NAACL-HLT Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan
2022	—	`conf`	Network Calibration by Temperature Scaling based on the Predicted Confidence. EUSIPCO Lior Frenkel, Jacob Goldberger
2022	—	`conf`	Proposition-Level Clustering for Multi-Document Summarization. NAACL-HLT Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
2022	—	`conf`	Supervised Domain Adaptation Using Gradients Transfer for Improved Medical Image Analysis. DART@MICCAI Shaya Goodman, Hayit Greenspan, Jacob Goldberger
2022	—	`conf`	Unsupervised Site Adaptation by Intra-site Variability Alignment. DART@MICCAI Shaya Goodman, Shira Kasten Serlin, Hayit Greenspan, Jacob Goldberger
2021	J	`jnl`	A Proposition-Level Clustering Approach for Multi-Document Summarization. CoRR Ori Ernst, Avi Caciularu, Ori Shapira, Ramakanth Pasunuru, Mohit Bansal, Jacob Goldberger, Ido Dagan
2021	J	`jnl`	An atlas of classifiers - a machine learning paradigm for brain MRI segmentation. Medical Biol. Eng. Comput. Shiri Gordon, Boris Kodner, Tal Goldfryd, Michael Sidorov, Jacob Goldberger, Tammy Riklin Raviv
2021	—	`conf`	Denoising Word Embeddings by Averaging in a Shared Space. *SEM Avi Caciularu, Ido Dagan, Jacob Goldberger
2021	J	`jnl`	Denoising Word Embeddings by Averaging in a Shared Space. CoRR Avi Caciularu, Ido Dagan, Jacob Goldberger
2021	J	`jnl`	Dynamically localizing multiple speakers based on the time-frequency domain. EURASIP J. Audio Speech Music. Process. Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2021	Misc	`conf`	Factorized CRF with Batch Normalization Based on the Entire Training Data. ICASSP Eran Goldman, Jacob Goldberger
2021	—	`conf`	Network Calibration by Class-based Temperature Scaling. EUSIPCO Lior Frenkel, Jacob Goldberger
2021	Misc	`conf`	Speech Enhancement with Mixture of Deep Experts with Clean Clustering Pre-Training. ICASSP Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2021	J	`jnl`	Speech enhancement with mixture-of-deep-experts with clean clustering pre-training. CoRR Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2021	J	`jnl`	Stochastic weight pruning and the role of regularization in shaping network structure. Neurocomputing Yael Ziv, Jacob Goldberger, Tammy Riklin Raviv
2021	B	`conf`	Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline. CoNLL Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
2021	—	`conf`	Transfer Learning via Parameter Regularization for Medical Image Segmentation. EUSIPCO Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
2021	—	`conf`	Transfer Learning with a Layer Dependent Regularization for Medical Image Segmentation. MLMI@MICCAI Nimrod Sagie, Hayit Greenspan, Jacob Goldberger
2021	J	`jnl`	Utilizing Evidence Spans via Sequence-Level Contrastive Learning for Long-Context Question Answering. CoRR Avi Caciularu, Ido Dagan, Jacob Goldberger, Arman Cohan
2021	J	`jnl`	Weakly and semi supervised detection in medical imaging via deep dual branch net. Neurocomputing Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
2021	J	`jnl`	perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes. IEEE J. Sel. Areas Commun. Avi Caciularu, Nir Raviv, Tomer Raviv, Jacob Goldberger, Yair Be'ery
2020	Misc	`conf`	A Composite DNN Architecture for Speech Enhancement. ICASSP Yochai Yemini, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2020	B	`conf`	A Locally Linear Procedure for Word Translation. COLING Soham Dan, Hagai Taitelbaum, Jacob Goldberger
2020	J	`jnl`	A mixture of views network with applications to multi-view medical imaging. Neurocomputing Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2020	J	`jnl`	CRF with deep class embedding for large scale classification. Comput. Vis. Image Underst. Eran Goldman, Jacob Goldberger
2020	J	`jnl`	FCN Approach for Dynamically Locating Multiple Speakers. CoRR Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2020	Misc	`conf`	K-Autoencoders Deep Clustering. ICASSP Yaniv Opochinsky, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2020	—	`conf`	Learning Probabilistic Fusion of Multilabel Lesion Contours. ISBI Gal Cohen, Hayit Greenspan, Jacob Goldberger
2020	J	`jnl`	SuperPAL: Supervised Proposition ALignment for Multi-Document Summarization and Derivative Sub-Tasks. CoRR Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan
2020	J	`jnl`	The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics. CoRR Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv
2020	—	`conf`	Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. BlackboxNLP@EMNLP Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg
2020	J	`jnl`	Unsupervised Distillation of Syntactic Information from Contextualized Word Representations. CoRR Shauli Ravfogel, Yanai Elazar, Jacob Goldberger, Yoav Goldberg
2020	J	`jnl`	perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention. CoRR Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery
2019	—	`conf`	A Mixture of Views Network With Applications to the Classification of Breast Microcalcifications. ISBI Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2019	—	`conf`	A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation. EMNLP/IJCNLP (1) Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2019	—	`conf`	A Soft STAPLE Algorithm Combined with Anatomical Knowledge. MICCAI (3) Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019	J	`jnl`	A Soft STAPLE Algorithm Combined with Anatomical Knowledge. CoRR Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019	J	`jnl`	A dual branch deep neural network for classification and detection in mammograms. CoRR Ran Bakalo, Jacob Goldberger, Rami Ben-Ari
2019	—	`conf`	Aligning Vector-spaces with Noisy Supervised Lexicon. NAACL-HLT (1) Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg
2019	J	`jnl`	Aligning Vector-spaces with Noisy Supervised Lexicons. CoRR Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg
2019	—	`conf`	Classification and Detection in Mammograms With Weak Supervision Via Dual Branch Deep Neural Net. ISBI Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
2019	J	`jnl`	Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net. CoRR Ran Bakalo, Rami Ben-Ari, Jacob Goldberger
2019	J	`jnl`	Clustering-Driven Deep Embedding With Pairwise Constraints. IEEE Computer Graphics and Applications Sharon Fogel, Hadar Averbuch-Elor, Daniel Cohen-Or, Jacob Goldberger
2019	—	`conf`	Deep Clustering Based On A Mixture Of Autoencoders. MLSP Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2019	Misc	`conf`	Information-bottleneck Based on the Jensen-shannon Divergence with Applications to Pairwise Clustering. ICASSP Jacob Goldberger, Yaniv Opochinsky
2019	—	`conf`	Interpretable Online Banking Fraud Detection Based On Hierarchical Attention Mechanism. MLSP Idan Achituve, Sarit Kraus, Jacob Goldberger
2019	—	`conf`	Multi-Microphone Speaker Separation based on Deep DOA Estimation. EUSIPCO Shlomo E. Chazan, Hodaya Hammer, Gershon Hazan, Jacob Goldberger, Sharon Gannot
2019	—	`conf`	Multilingual word translation using auxiliary languages. EMNLP/IJCNLP (1) Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2019	Misc	`conf`	Network Adaptation Strategies for Learning New Classes without Forgetting the Original Ones. ICASSP Hagai Taitelbaum, Gal Chechik, Jacob Goldberger
2019	A*	`conf`	Precise Detection in Densely Packed Scenes. CVPR Eran Goldman, Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
2019	J	`jnl`	Precise Detection in Densely Packed Scenes. CoRR Eran Goldman, Roei Herzig, Aviv Eisenschtat, Oria Ratzon, Itsik Levi, Jacob Goldberger, Tal Hassner
2019	—	`conf`	Soft Labeling by Distilling Anatomical Knowledge for Improved MS Lesion Segmentation. ISBI Eytan Kats, Jacob Goldberger, Hayit Greenspan
2019	J	`jnl`	Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation. CoRR Eytan Kats, Jacob Goldberger, Hayit Greenspan
2018	J	`jnl`	A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications. CoRR Yaniv Shachor, Hayit Greenspan, Jacob Goldberger
2018	A	`conf`	Adding New Classes without Access to the Original Training Data with Applications to Language Identification. INTERSPEECH Hagai Taitelbaum, Ehud Ben-Reuven, Jacob Goldberger
2018	J	`jnl`	Anatomical Data Augmentation For CNN based Pixel-wise Classification. CoRR Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Anatomical data augmentation for CNN based pixel-wise classification. ISBI Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Attention-Based Neural Network for Joint Diarization and Speaker Extraction. IWAENC Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2018	J	`jnl`	Clustering-driven Deep Embedding with Pairwise Constraints. CoRR Sharon Fogel, Hadar Averbuch-Elor, Jacob Goldberger, Daniel Cohen-Or
2018	Misc	`conf`	DNN-Based Concurrent Speakers Detector and its Application to Speaker Extraction with LCMV Beamforming. ICASSP Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2018	J	`jnl`	Deep Clustering Based on a Mixture of Autoencoders. CoRR Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2018	J	`jnl`	GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification. CoRR Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	J	`jnl`	GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification. Neurocomputing Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	LCMV Beamformer with DNN-Based Multichannel Concurrent Speakers Detector. EUSIPCO Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2018	B	`conf`	Self-Normalization Properties of Language Modeling. COLING Jacob Goldberger, Oren Melamud
2018	J	`jnl`	Self-Normalization Properties of Language Modeling. CoRR Jacob Goldberger, Oren Melamud
2018	—	`conf`	Speech Dereverberation Using Fully Convolutional Networks. EUSIPCO Ori Ernst, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2018	J	`jnl`	Speech Dereverberation Using Fully Convolutional Networks. CoRR Ori Ernst, Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2018	J	`jnl`	Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification. CoRR Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Synthetic data augmentation using GAN for improved liver lesion classification. ISBI Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2018	—	`conf`	Training Strategies for Deep Latent Models and Applications to Speech Presence Probability Estimation. LVA/ICA Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2018	—	`conf`	Training a neural network based on unreliable human annotation of medical images. ISBI Yair Dgani, Hayit Greenspan, Jacob Goldberger
2017	A*	`conf`	A Simple Language Model based on PMI Matrix Approximations. EMNLP Oren Melamud, Ido Dagan, Jacob Goldberger
2017	J	`jnl`	A Simple Language Model based on PMI Matrix Approximations. CoRR Oren Melamud, Ido Dagan, Jacob Goldberger
2017	—	`conf`	A deep neural network witharestricted noisy channel for identification of functional introns. MLSP Alan Joseph Bekker, Michal Chorev, Liran Carmel, Jacob Goldberger
2017	—	`conf`	Atlas of Classifiers for Brain MRI Segmentation. MLMI@MICCAI Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv
2017	—	`conf`	Deep recurrent mixture of experts for speech enhancement. WASPAA Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2017	—	`conf`	Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function. ACL (2) Oren Melamud, Jacob Goldberger
2017	—	`conf`	Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. Patch-MI@MICCAI Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017	J	`jnl`	Modeling the Intra-class Variability for Liver Lesion Detection using a Multi-class Patch-based CNN. CoRR Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan
2017	—	`conf`	Speaker extraction using LCMV beamformer with DNN-based SPP and RTF identification scheme. EUSIPCO Ariel Malek, Shlomo E. Chazan, Ilan Malka, Vladimir Tourbabin, Jacob Goldberger, Eli Tzirkel-Hancock, Sharon Gannot
2017	J	`jnl`	Speech Enhancement using a Deep Mixture of Experts. CoRR Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2017	J	`jnl`	Structured Image Classification from Conditional Random Field with Deep Class Embedding. CoRR Eran Goldman, Jacob Goldberger
2017	—	`conf`	Successive relative transfer function identification using single microphone speech enhancement. EUSIPCO Dani Cherkassky, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2017	J	`jnl`	Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification. IEEE Trans. Biomed. Eng. Idit Diamant, Eyal Klang, Michal Amitai, Eli Konen, Jacob Goldberger, Hayit Greenspan
2017	—	`conf`	Training deep neural-networks using a noise adaptation layer. ICLR (Poster) Jacob Goldberger, Ehud Ben-Reuven
2016	J	`jnl`	A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier. IEEE ACM Trans. Audio Speech Lang. Process. Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2016	—	`conf`	A Semisupervised Approach for Language Identification based on Ladder Networks. Odyssey Ehud Ben-Reuven, Jacob Goldberger
2016	J	`jnl`	A Semisupervised Approach for Language Identification based on Ladder Networks. CoRR Ehud Ben-Reuven, Jacob Goldberger
2016	—	`conf`	A multi-view deep learning architecture for classification of breast microcalcifications. ISBI Alan Joseph Bekker, Hayit Greenspan, Jacob Goldberger
2016	—	`conf`	A phoneme-based pre-training approach for deep neural network with application to speech enhancement. IWAENC Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger
2016	—	`conf`	Combining clusterings with different detail levels. MLSP Oded Kaminsky, Jacob Goldberger
2016	Misc	`conf`	Combining soft decisions of several unreliable experts. ICASSP Jacob Goldberger
2016	J	`jnl`	Domain Adaptation For Formant Estimation Using Deep Learning. CoRR Yehoshua Dissen, Joseph Keshet, Jacob Goldberger, Cynthia G. Clopper
2016	J	`jnl`	Hierarchical Image Segmentation Using Correlation Clustering. IEEE Trans. Neural Networks Learn. Syst. Amir Alush, Jacob Goldberger
2016	—	`conf`	Intra-cluster training strategy for deep learning with applications to language identification. MLSP Alan Joseph Bekker, Irit Opher, Itsik Lapidot, Jacob Goldberger
2016	J	`jnl`	Multi-View Probabilistic Classification of Breast Microcalcifications. IEEE Trans. Medical Imaging Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger
2016	B	`conf`	Mutual information criterion for feature selection with application to classification of breast microcalcifications. Image Processing Idit Diamant, Moran Shalhon, Jacob Goldberger, Hayit Greenspan
2016	J	`jnl`	PMI Matrix Approximations with Applications to Neural Language Modeling. CoRR Oren Melamud, Ido Dagan, Jacob Goldberger
2016	J	`jnl`	Pairwise clustering based on the mutual-information criterion. Neurocomputing Amir Alush, Avishay Friedman, Jacob Goldberger
2016	J	`jnl`	Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI. Int. J. Biomed. Imaging Roey Mechrez, Jacob Goldberger, Hayit Greenspan
2016	Misc	`conf`	Training deep neural-networks based on unreliable labels. ICASSP Alan Joseph Bekker, Jacob Goldberger
2016	B	`conf`	context2vec: Learning Generic Context Embedding with Bidirectional LSTM. CoNLL Oren Melamud, Jacob Goldberger, Ido Dagan
2015	J	`jnl`	A Hybrid Approach for Speech Enhancement Using MoG Model and Neural Network Phoneme Classifier. CoRR Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot
2015	J	`jnl`	Efficient Global Learning of Entailment Graphs. Comput. Linguistics Jonathan Berant, Noga Alon, Ido Dagan, Jacob Goldberger
2015	B	`conf`	Learning to Exploit Structured Resources for Lexical Inference. CoNLL Vered Shwartz, Omer Levy, Ido Dagan, Jacob Goldberger
2015	—	`conf`	Learning to combine decisions from multiple mammography views. ISBI Alan Joseph Bekker, Moran Shalhon, Hayit Greenspan, Jacob Goldberger
2015	B	`conf`	MS lesion segmentation using a multi-channel patch-based approach with spatial consistency. Image Processing Roey Mechrez, Jacob Goldberger, Hayit Greenspan
2015	—	`conf`	Modeling Word Meaning in Context with Substitute Vectors. HLT-NAACL Oren Melamud, Ido Dagan, Jacob Goldberger
2015	—	`conf`	Multi-phase liver lesions classification using relevant visual words based on mutual information. ISBI Idit Diamant, Jacob Goldberger, Eyal Klang, Michal Amitai, Hayit Greenspan
2015	J	`jnl`	Obstacle detection in a greenhouse environment using the Kinect sensor. Comput. Electron. Agric. Sharon Nissimov, Jacob Goldberger, Victor Alchanatis
2014	B	`conf`	Focused Entailment Graphs for Open IE Propositions. CoNLL Omer Levy, Ido Dagan, Jacob Goldberger
2014	Misc	`conf`	MIMO detection based on averaging Gaussian projections. ICASSP Jacob Goldberger
2014	B	`conf`	Probabilistic Modeling of Joint-context in Distributional Similarity. CoNLL Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor, Deniz Yuret
2013	—	`conf`	A Two Level Model for Context Sensitive Inference Rules. ACL (1) Oren Melamud, Jonathan Berant, Ido Dagan, Jacob Goldberger, Idan Szpektor
2013	—	`conf`	Break and Conquer: Efficient Correlation Clustering for Image Segmentation. SIMBAD Amir Alush, Jacob Goldberger
2013	B	`conf`	Improved MIMO detection based on successive tree approximations. ISIT Jacob Goldberger
2013	—	`conf`	Information Theoretic Pairwise Clustering. SIMBAD Avishay Friedman, Jacob Goldberger
2013	—	`conf`	PLIS: a Probabilistic Lexical Inference System. ACL (Conference System Demonstrations) Eyal Shnarch, Erel Segal-Halevi, Jacob Goldberger, Ido Dagan
2013	—	`conf`	Using Lexical Expansion to Learn Inference Rules from Sparse Data. ACL (2) Oren Melamud, Ido Dagan, Jacob Goldberger, Idan Szpektor
2013	—	`conf`	Visual words based approach for tissue classification in mammograms. Computer-Aided Diagnosis Idit Diamant, Jacob Goldberger, Hayit Greenspan
2012	—	`conf`	A Probabilistic Lexical Model for Ranking Textual Inferences. *SEM@NAACL-HLT Eyal Shnarch, Ido Dagan, Jacob Goldberger
2012	J	`jnl`	An unsupervised data projection that preserves the cluster structure. Pattern Recognit. Lett. Lev Faivishevsky, Jacob Goldberger
2012	J	`jnl`	Dimensionality reduction based on non-parametric mutual information. Neurocomputing Lev Faivishevsky, Jacob Goldberger
2012	—	`conf`	Efficient Tree-based Approximation for Entailment Graph Learning. ACL (1) Jonathan Berant, Ido Dagan, Meni Adler, Jacob Goldberger
2012	J	`jnl`	Ensemble Segmentation Using Efficient Integer Linear Programming. IEEE Trans. Pattern Anal. Mach. Intell. Amir Alush, Jacob Goldberger
2012	J	`jnl`	Learning Entailment Relations by Global Graph Structure Optimization. Comput. Linguistics Jonathan Berant, Ido Dagan, Jacob Goldberger
2012	—	`conf`	Unsupervised feature selection based on non-parametric mutual information. MLSP Lev Faivishevsky, Jacob Goldberger
2011	—	`conf`	A Probabilistic Modeling Framework for Lexical Entailment. ACL (2) Eyal Shnarch, Jacob Goldberger, Ido Dagan
2011	J	`jnl`	Distilling the wisdom of crowds: weighted aggregation of decisions on multiple issues. Auton. Agents Multi Agent Syst. Eyal Baharad, Jacob Goldberger, Moshe Koppel, Shmuel Nitzan
2011	A*	`conf`	Global Learning of Typed Entailment Rules. ACL Jonathan Berant, Ido Dagan, Jacob Goldberger
2011	J	`jnl`	Iterative Tomographic Solution of Integer Least Squares Problems With Applications to MIMO Detection. IEEE J. Sel. Top. Signal Process. Jacob Goldberger, Amir Leshem
2011	J	`jnl`	MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation. IEEE Trans. Inf. Theory Jacob Goldberger, Amir Leshem
2011	—	`conf`	System for pathology categorization and retrieval in chest radiographs. Computer-Aided Diagnosis Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger
2011	—	`conf`	Towards a Probabilistic Model for Lexical Entailment. TextInfer@EMNLP Eyal Shnarch, Jacob Goldberger, Ido Dagan
2011	J	`jnl`	X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Medical Imaging Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger
2011	—	`conf`	X-ray Categorization and Spatial Localization of Chest Pathologies. MICCAI (3) Uri Avni, Hayit Greenspan, Jacob Goldberger
2010	J	`jnl`	Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. IEEE Trans. Medical Imaging Amir Alush, Hayit Greenspan, Jacob Goldberger
2010	—	`conf`	Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan
2010	J	`jnl`	Efficient Anonymizations with Enhanced Utility. Trans. Data Priv. Jacob Goldberger, Tamir Tassa
2010	A*	`conf`	Global Learning of Focused Entailment Graphs. ACL Jonathan Berant, Ido Dagan, Jacob Goldberger
2010	J	`jnl`	MIMO Detection for High-Order QAM Based on a Gaussian Tree Approximation CoRR Jacob Goldberger, Amir Leshem
2010	—	`ch.`	Medical Image Classification at Tel Aviv and Bar Ilan Universities. ImageCLEF Uri Avni, Jacob Goldberger, Hayit Greenspan
2010	A*	`conf`	Nonparametric Information Theoretic Clustering Algorithm. ICML Lev Faivishevsky, Jacob Goldberger
2009	—	`conf`	A Gaussian Tree Approximation for Integer Least-Squares. NIPS Jacob Goldberger, Amir Leshem
2009	—	`conf`	Addressing the ImageClef 2009 Challenge Using a Patch-based Visual Words Representation. CLEF (Working Notes) Uri Avni, Jacob Goldberger, Hayit Greenspan
2009	J	`jnl`	Analyzing movement trajectories using a Markov bi-clustering method. J. Comput. Neurosci. Keren Erez, Jacob Goldberger, Ronen Sosnik, Moshe Shemesh, Susan Rothstein, Moshe Abeles
2009	—	`conf`	Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. CLEF (2) Uri Avni, Hayit Greenspan, Jacob Goldberger
2009	—	`conf`	Efficient Anonymizations with Enhanced Utility. ICDM Workshops Jacob Goldberger, Tamir Tassa
2009	—	`conf`	Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. ISBI Amir Alush, Hayit Greenspan, Jacob Goldberger
2009	J	`jnl`	MIMO decoding based on stochastic reconstruction from multiple projections CoRR Amir Leshem, Jacob Goldberger
2009	Misc	`conf`	MIMO decoding based on stochastic reconstruction from multiple projections. ICASSP Amir Leshem, Jacob Goldberger
2009	J	`jnl`	Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomed. Imaging Oren Freifeld, Hayit Greenspan, Jacob Goldberger
2009	J	`jnl`	Urban-Area Segmentation Using Visual Words. IEEE Geosci. Remote. Sens. Lett. Lior Weizman, Jacob Goldberger
2009	—	`conf`	X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger
2008	J	`jnl`	A hierarchical clustering algorithm based on the Hungarian method. Pattern Recognit. Lett. Jacob Goldberger, Tamir Tassa
2008	A*	`conf`	Contextual Preferences. ACL Idan Szpektor, Ido Dagan, Roy Bar-Haim, Jacob Goldberger
2008	—	`conf`	Detection of Urban Zones in Satellite Images using Visual Words. IGARSS (5) Lior Weizman, Jacob Goldberger
2008	J	`jnl`	Face Recognition Using Classification-Based Linear Projections. EURASIP J. Adv. Signal Process. Moshe Butman, Jacob Goldberger
2008	—	`conf`	ICA based on a Smooth Estimation of the Differential Entropy. NIPS Lev Faivishevsky, Jacob Goldberger
2008	J	`jnl`	Serial Schedules for Belief-Propagation: Analysis of Convergence Time. IEEE Trans. Inf. Theory Jacob Goldberger, Haggai Kfir
2008	J	`jnl`	Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss
2008	—	`conf`	TAU MIPLAB at ImageClef 2008. CLEF (Working Notes) Uri Avni, Jacob Goldberger, Hayit Greenspan
2008	—	`conf`	Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering. ICDM Workshops Anat Almog, Jacob Goldberger, Yuval Shavitt
2007	C	`conf`	A classification-based linear projection of labeled hyperspectral data. IGARSS Lior Weizman, Jacob Goldberger
2007	A*	`conf`	An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss
2007	A*	`conf`	Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR Omer Rotem, Hayit Greenspan, Jacob Goldberger
2007	J	`jnl`	Efficient Serial Message-Passing Schedules for LDPC Decoding. IEEE Trans. Inf. Theory Eran Sharon, Simon Litsyn, Jacob Goldberger
2007	—	`conf`	Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI Oren Freifeld, Hayit Greenspan, Jacob Goldberger
2006	J	`jnl`	Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Medical Imaging Hayit Greenspan, Amit Ruf, Jacob Goldberger
2006	J	`jnl`	Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. Jacob Goldberger, Hayit Greenspan
2006	J	`jnl`	Unsupervised image-set clustering using an information theoretic framework. IEEE Trans. Image Process. Jacob Goldberger, Shiri Gordon, Hayit Greenspan
2005	A	`conf`	A distance measure between GMMs based on the unscented transform and its application to speaker recognition. INTERSPEECH Jacob Goldberger, Hagai Aronowitz
2005	J	`jnl`	Reconstructing camera projection matrices from multiple pairwise overlapping views. Comput. Vis. Image Underst. Jacob Goldberger
2005	—	`conf`	Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) Amit Ruf, Hayit Greenspan, Jacob Goldberger
2004	—	`conf`	Hierarchical Clustering of a Mixture Model. NIPS Jacob Goldberger, Sam T. Roweis
2004	—	`conf`	Neighbourhood Components Analysis. NIPS Jacob Goldberger, Sam T. Roweis, Geoffrey E. Hinton, Ruslan Salakhutdinov
2004	J	`jnl`	Probabilistic Space-Time Video Modeling via Piecewise GMM. IEEE Trans. Pattern Anal. Mach. Intell. Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
2003	A*	`conf`	An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. ICCV Jacob Goldberger, Shiri Gordon, Hayit Greenspan
2003	A*	`conf`	Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV Shiri Gordon, Hayit Greenspan, Jacob Goldberger
2002	—	`conf`	A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
2002	—	`conf`	Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) Hayit Greenspan, Shiri Gordon, Jacob Goldberger
2002	—	`conf`	Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium Jacob Goldberger, Hayit Greenspan, Shiri Gordon
2001	J	`jnl`	A Continuous Probabilistic Framework for Image Matching. Comput. Vis. Image Underst. Hayit Greenspan, Jacob Goldberger, Lenny Ridel
2001	J	`jnl`	Mixture model for face-color modeling and segmentation. Pattern Recognit. Lett. Hayit Greenspan, Jacob Goldberger, Itay Eshet
2001	A*	`conf`	Sequentially finding the N-Best List in Hidden Markov Models. IJCAI Dennis Nilsson, Jacob Goldberger
1999	A*	`conf`	Registration of Multiple Point Sets using the EM Algorithm. ICCV Jacob Goldberger
1999	J	`jnl`	Segmental modeling using a continuous mixture of nonparametric models. IEEE Trans. Speech Audio Process. Jacob Goldberger, David Burshtein, Horacio Franco
1998	Misc	`conf`	Scaled random segmental models. ICASSP Jacob Goldberger, David Burshtein
1998	J	`jnl`	Scaled random trajectory segment models. Comput. Speech Lang. Jacob Goldberger, David Burshtein
1997	—	`conf`	Segmental modeling using a continuous mixture of non-parametric models. EUROSPEECH Jacob Goldberger, David Burshtein, Horacio Franco