Gal Chechik

According to our database1, Gal Chechik authored at least 65 papers between 1998 and 2018.

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Bibliography

2018
Metric Learning for Phoneme Perception.
CoRR, 2018

Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning.
CoRR, 2018

Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction.
CoRR, 2018

2017
Group online adaptive learning.
Machine Learning, 2017

DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders.
CoRR, 2017

Learning From Noisy Large-Scale Datasets With Minimal Supervision.
CoRR, 2017

Context-aware Captions from Context-agnostic Supervision.
CoRR, 2017

Instance-Level Label Propagation with Multi-Instance Learning.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

DeepBrain: Functional Representation of Neural In-Situ Hybridization Images for Gene Ontology Classification Using Deep Convolutional Autoencoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Learning from Noisy Large-Scale Datasets with Minimal Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Context-Aware Captions from Context-Agnostic Supervision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
On Expression Patterns and Developmental Origin of Human Brain Regions.
PLoS Computational Biology, 2016

Learning to generalize to new compositions in image understanding.
CoRR, 2016

2015
Gene Expression Switching of Receptor Subunits in Human Brain Development.
PLoS Computational Biology, 2015

Gradual Training Method for Denoising Auto Encoders.
CoRR, 2015

Learning Sparse Metrics, One Feature at a Time.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015

Probabilistic Graphical Models of Dyslexia.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Learning semantic representations of objects and their parts.
Machine Learning, 2014

Gradual training of deep denoising auto encoders.
CoRR, 2014

Coordinate-descent for learning orthogonal matrices through Givens rotations.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Specialization of Gene Expression during Mouse Brain Development.
PLoS Computational Biology, 2013

Efficient coordinate-descent for orthogonal matrices through Givens rotations.
CoRR, 2013

FuncISH: learning a functional representation of neural ISH images.
Bioinformatics, 2013

Modeling Musical Influence with Topic Models.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Localizing Genes to Cerebellar Layers by Classifying ISH Images.
PLoS Computational Biology, 2012

Online Learning in the Embedded Manifold of Low-rank Matrices.
Journal of Machine Learning Research, 2012

Sufficient Dimensionality Reduction with Irrelevant Statistics
CoRR, 2012

Adaptive Regularization for Weight Matrices
CoRR, 2012

Adaptive Regularization for Similarity Measures.
Proceedings of the 29th International Conference on Machine Learning, 2012

2011
Sparse coding of auditory features for machine hearing in interference.
Proceedings of the IEEE International Conference on Acoustics, 2011

2010
Sound Retrieval and Ranking Using Sparse Auditory Representations.
Neural Computation, 2010

Large Scale Online Learning of Image Similarity Through Ranking.
Journal of Machine Learning Research, 2010

Online Learning in The Manifold of Low-Rank Matrices.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Object separation in x-ray image sets.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Timing of Gene Expression Responses to Environmental Changes.
Journal of Computational Biology, 2009

An Online Algorithm for Large Scale Image Similarity Learning.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Large Scale Online Learning of Image Similarity through Ranking.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

2008
Max-margin Classification of Data with Absent Features.
Journal of Machine Learning Research, 2008

Large-scale content-based audio retrieval from text queries.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

2007
Euclidean Embedding of Co-occurrence Data.
Journal of Machine Learning Research, 2007

NIPS workshop on New Problems and Methods in Computational Biology.
BMC Bioinformatics, 2007

2006
Discrete profile comparison using information bottleneck.
BMC Bioinformatics, 2006

Max-margin classification of incomplete data.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Temporal and Cross-Subject Probabilistic Models for fMRI Prediction Tasks.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Embedding Heterogeneous Data Using Statistical Models.
Proceedings of the Proceedings, 2006

2005
Information Bottleneck for Gaussian Variables.
Journal of Machine Learning Research, 2005

Encoding Stimulus Information by Spike Numbers and Mean Response Time in Primary Auditory Cortex.
Journal of Computational Neuroscience, 2005

2004
Discrete profile alignment via constrained information bottleneck.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Euclidean Embedding of Co-Occurrence Data.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

A needle in a haystack: local one-class optimization.
Proceedings of the Machine Learning, 2004

2003
Spike-Timing-Dependent Plasticity and Relevant Mutual Information Maximization.
Neural Computation, 2003

Sufficient Dimensionality Reduction with Irrelevance Statistics.
Proceedings of the UAI '03, 2003

Information Bottleneck for Gaussian Variables.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Are There Representations in Embodied Evolved Agents? Taking Measures.
Proceedings of the Advances in Artificial Life, 7th European Conference, 2003

2002
Extracting Relevant Structures with Side Information.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
Effective Neuronal Learning with Ineffective Hebbian Learning Rules.
Neural Computation, 2001

Spike timing dependent plasticity and mutual information in spiking neurons.
Neurocomputing, 2001

Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
Neuronal normalization provides effective learning through ineffective synaptic learning rules.
Neurocomputing, 2000

Temporally Dependent Plasticity: An Information Theoretic Account.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999
Neuronal Regulation: A Mechanism for Synaptic Pruning During Brain Maturation.
Neural Computation, 1999

Neuronal regulation: A biologically plausible mechanism for efficient synaptic pruning in development.
Neurocomputing, 1999

Effective Learning Requires Neuronal Remodeling of Hebbian Synapses.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1998
Synaptic Pruning In Development: A Computational Account.
Neural Computation, 1998

Neuronal Regulation Implements Efficient Synaptic Pruning.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998


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