Search Results for author: Jacob Goldberger

Found 48 papers, 7 papers with code

Network calibration by weight scaling

no code implementations29 Sep 2021 Lior Frenkel, Jacob Goldberger

We derive an optimization method that is based on a closed form solution for the optimal weight scaling in each bin of a discretized value of the prediction confidence.

Decision Making

Speech enhancement with mixture-of-deep-experts with clean clustering pre-training

no code implementations11 Feb 2021 Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot

The experts estimate a mask from the noisy input and the final mask is then obtained as a weighted average of the experts' estimates, with the weights determined by the gating DNN.

Speech Enhancement

Dynamically locating multiple speakers based on the time-frequency domain

no code implementations1 Jan 2021 Hodaya Hammer, Shlomo Chazan, Jacob Goldberger, Sharon Gannot

In this study we present a deep neural network-based online multi-speaker localisation algorithm based on a multi-microphone array.

A Mixture of Variational Autoencoders for Deep Clustering

no code implementations1 Jan 2021 Avi Caciularu, Jacob Goldberger

In this study we propose a deep clustering algorithm that utilizes variational auto encoder (VAE) framework with a multi encoder-decoder neural architecture.

Deep Clustering

Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention

no code implementations1 Jan 2021 Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery

Error correction codes are an integral part of communication applications and boost the reliability of transmission.

The Role of Regularization in Shaping Weight and Node Pruning Dependency and Dynamics

no code implementations7 Dec 2020 Yael Ben-Guigui, Jacob Goldberger, Tammy Riklin-Raviv

The pressing need to reduce the capacity of deep neural networks has stimulated the development of network dilution methods and their analysis.

Classification General Classification +2

A Locally Linear Procedure for Word Translation

no code implementations COLING 2020 Soham Dan, Hagai Taitelbaum, Jacob Goldberger

We propose a natural extension of the PA algorithm that uses multiple orthogonal translation matrices to model the mapping and derive an algorithm to learn these multiple matrices.

Translation Word Embeddings +1

Summary-Source Proposition-level Alignment: Task, Datasets and Supervised Baseline

1 code implementation CoNLL (EMNLP) 2021 Ori Ernst, Ori Shapira, Ramakanth Pasunuru, Michael Lepioshkin, Jacob Goldberger, Mohit Bansal, Ido Dagan

Aligning sentences in a reference summary with their counterparts in source documents was shown as a useful auxiliary summarization task, notably for generating training data for salience detection.

Document Summarization Multi-Document Summarization

FCN Approach for Dynamically Locating Multiple Speakers

no code implementations26 Aug 2020 Hodaya Hammer, Shlomo E. Chazan, Jacob Goldberger, Sharon Gannot

In this paper, we present a deep neural network-based online multi-speaker localisation algorithm.

perm2vec: Graph Permutation Selection for Decoding of Error Correction Codes using Self-Attention

no code implementations6 Feb 2020 Nir Raviv, Avi Caciularu, Tomer Raviv, Jacob Goldberger, Yair Be'ery

Error correction codes are an integral part of communication applications, boosting the reliability of transmission.

A Soft STAPLE Algorithm Combined with Anatomical Knowledge

no code implementations26 Oct 2019 Eytan Kats, Jacob Goldberger, Hayit Greenspan

Supervised machine learning algorithms, especially in the medical domain, are affected by considerable ambiguity in expert markings.

Aligning Vector-spaces with Noisy Supervised Lexicon

1 code implementation NAACL 2019 Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg

The algorithm jointly learns the noise level in the lexicon, finds the set of noisy pairs, and learns the mapping between the spaces.

Translation

Weakly and Semi Supervised Detection in Medical Imaging via Deep Dual Branch Net

no code implementations29 Apr 2019 Ran Bakalo, Jacob Goldberger, Rami Ben-Ari

We show that the time consuming local annotations involved in supervised learning can be addressed by a weakly supervised method that can leverage a subset of locally annotated data.

Classification General Classification +1

Classification and Detection in Mammograms with Weak Supervision via Dual Branch Deep Neural Net

no code implementations28 Apr 2019 Ran Bakalo, Rami Ben-Ari, Jacob Goldberger

The high cost of generating expert annotations, poses a strong limitation for supervised machine learning methods in medical imaging.

Classification General Classification +1

Aligning Vector-spaces with Noisy Supervised Lexicons

1 code implementation25 Mar 2019 Noa Yehezkel Lubin, Jacob Goldberger, Yoav Goldberg

The algorithm jointly learns the noise level in the lexicon, finds the set of noisy pairs, and learns the mapping between the spaces.

Translation

Soft labeling by Distilling Anatomical knowledge for Improved MS Lesion Segmentation

no code implementations26 Jan 2019 Eytan Kats, Jacob Goldberger, Hayit Greenspan

Detection and segmentation of MS lesions is a complex task largely due to the extreme unbalanced data, with very small number of lesion pixels that can be used for training.

Lesion Segmentation

Deep Clustering Based on a Mixture of Autoencoders

no code implementations16 Dec 2018 Shlomo E. Chazan, Sharon Gannot, Jacob Goldberger

The optimal clustering is found by minimizing the reconstruction loss of the mixture of autoencoder network.

Deep Clustering

Self-Normalization Properties of Language Modeling

no code implementations COLING 2018 Jacob Goldberger, Oren Melamud

Self-normalizing discriminative models approximate the normalized probability of a class without having to compute the partition function.

Language Modelling

A Mixture of Views Network with Applications to the Classification of Breast Microcalcifications

no code implementations19 Mar 2018 Yaniv Shachor, Hayit Greenspan, Jacob Goldberger

We present a decision concept which explicitly takes into account the input multi-view structure, where for each case there is a different subset of relevant views.

General Classification

Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification

no code implementations8 Jan 2018 Maayan Frid-Adar, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan

In this paper, we present a data augmentation method that generates synthetic medical images using Generative Adversarial Networks (GANs).

Classification Computed Tomography (CT) +3

Anatomical Data Augmentation For CNN based Pixel-wise Classification

no code implementations7 Jan 2018 Avi Ben-Cohen, Eyal Klang, Michal Marianne Amitai, Jacob Goldberger, Hayit Greenspan

In this work we propose a method for anatomical data augmentation that is based on using slices of computed tomography (CT) examinations that are adjacent to labeled slices as another resource of labeled data for training the network.

Classification Computed Tomography (CT) +2

A Simple Language Model based on PMI Matrix Approximations

no code implementations EMNLP 2017 Oren Melamud, Ido Dagan, Jacob Goldberger

Specifically, we show that with minor modifications to word2vec's algorithm, we get principled language models that are closely related to the well-established Noise Contrastive Estimation (NCE) based language models.

Language Modelling Word Embeddings

Information-Theory Interpretation of the Skip-Gram Negative-Sampling Objective Function

no code implementations ACL 2017 Oren Melamud, Jacob Goldberger

In this paper we define a measure of dependency between two random variables, based on the Jensen-Shannon (JS) divergence between their joint distribution and the product of their marginal distributions.

Dependency Parsing Entity Extraction using GAN +1

Large-Scale Classification of Structured Objects using a CRF with Deep Class Embedding

no code implementations ICLR 2019 Eran Goldman, Jacob Goldberger

This paper presents a novel deep learning architecture to classify structured objects in datasets with a large number of visually similar categories.

General Classification

Domain Adaptation For Formant Estimation Using Deep Learning

no code implementations6 Nov 2016 Yehoshua Dissen, Joseph Keshet, Jacob Goldberger, Cynthia Clopper

We then freeze the parameters of the trained network and use several different datasets to train an adaptation layer that makes the obtained network universal in the sense that it works well for a variety of speakers and speech domains with very different characteristics.

Domain Adaptation

PMI Matrix Approximations with Applications to Neural Language Modeling

no code implementations5 Sep 2016 Oren Melamud, Ido Dagan, Jacob Goldberger

The obtained language modeling is closely related to NCE language models but is based on a simplified objective function.

Language Modelling

A Semisupervised Approach for Language Identification based on Ladder Networks

1 code implementation1 Apr 2016 Ehud Ben-Reuven, Jacob Goldberger

In this study we address the problem of training a neuralnetwork for language identification using both labeled and unlabeled speech samples in the form of i-vectors.

Denoising Language Identification

A Gaussian Tree Approximation for Integer Least-Squares

no code implementations NeurIPS 2009 Jacob Goldberger, Amir Leshem

The factor graph that corresponds to this problem is very loopy; in fact, it is a complete graph.

ICA based on a Smooth Estimation of the Differential Entropy

no code implementations NeurIPS 2008 Lev Faivishevsky, Jacob Goldberger

In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence.

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