Samy Bengio

According to our database1, Samy Bengio authored at least 204 papers between 1987 and 2018.

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Bibliography

2018
Area Attention.
CoRR, 2018

Predicting the Generalization Gap in Deep Networks with Margin Distributions.
CoRR, 2018

Insights on representational similarity in neural networks with canonical correlation.
CoRR, 2018

A Study on Overfitting in Deep Reinforcement Learning.
CoRR, 2018

Adversarial Attacks and Defences Competition.
CoRR, 2018

Tensor2Tensor for Neural Machine Translation.
CoRR, 2018

Large Margin Deep Networks for Classification.
CoRR, 2018

Predicting Human Performance in Vertical Menu Selection Using Deep Learning.
CoRR, 2018

Fast Decoding in Sequence Models using Discrete Latent Variables.
CoRR, 2018

Discrete Autoencoders for Sequence Models.
CoRR, 2018

Fast Decoding in Sequence Models Using Discrete Latent Variables.
Proceedings of the 35th International Conference on Machine Learning, 2018

On Using Backpropagation for Speech Texture Generation and Voice Conversion.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Predicting Human Performance in Vertical Menu Selection Using Deep Learning.
Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Tensor2Tensor for Neural Machine Translation.
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

2017
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

On Using Backpropagation for Speech Texture Generation and Voice Conversion.
CoRR, 2017

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model.
CoRR, 2017

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

Device Placement Optimization with Reinforcement Learning.
CoRR, 2017

Learning to Remember Rare Events.
CoRR, 2017

Sharp Minima Can Generalize For Deep Nets.
CoRR, 2017

N-gram Language Modeling using Recurrent Neural Network Estimation.
CoRR, 2017


Device Placement Optimization with Reinforcement Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Sharp Minima Can Generalize For Deep Nets.
Proceedings of the 34th International Conference on Machine Learning, 2017

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

2016
LLORMA: Local Low-Rank Matrix Approximation.
Journal of Machine Learning Research, 2016

Understanding deep learning requires rethinking generalization.
CoRR, 2016

Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge.
CoRR, 2016

Reward Augmented Maximum Likelihood for Neural Structured Prediction.
CoRR, 2016

Adversarial Machine Learning at Scale.
CoRR, 2016

Adversarial examples in the physical world.
CoRR, 2016

Can Active Memory Replace Attention?
CoRR, 2016

Density estimation using Real NVP.
CoRR, 2016

Revisiting Distributed Synchronous SGD.
CoRR, 2016

Neural Combinatorial Optimization with Reinforcement Learning.
CoRR, 2016

Reward Augmented Maximum Likelihood for Neural Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Can Active Memory Replace Attention?
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

An Online Sequence-to-Sequence Model Using Partial Conditioning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

ADIOS: Architectures Deep In Output Space.
Proceedings of the 33nd International Conference on Machine Learning, 2016

End-to-end text-dependent speaker verification.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Generating Sentences from a Continuous Space.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015
Order Matters: Sequence to sequence for sets.
CoRR, 2015

An Online Sequence-to-Sequence Model Using Partial Conditioning.
CoRR, 2015

End-to-End Text-Dependent Speaker Verification.
CoRR, 2015

Generating Sentences from a Continuous Space.
CoRR, 2015

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.
CoRR, 2015

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sharing Representations for Long Tail Computer Vision Problems.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Show and tell: A neural image caption generator.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning semantic relationships for better action retrieval in images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Training highly multiclass classifiers.
Journal of Machine Learning Research, 2014

Show and Tell: A Neural Image Caption Generator.
CoRR, 2014

Local collaborative ranking.
Proceedings of the 23rd International World Wide Web Conference, 2014

Word embeddings for speech recognition.
Proceedings of the INTERSPEECH 2014, 2014

Large-Scale Object Classification Using Label Relation Graphs.
Proceedings of the Computer Vision - ECCV 2014, 2014

2013
Guest Editors' Introduction: Special Section on Learning Deep Architectures.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Zero-Shot Learning by Convex Combination of Semantic Embeddings.
CoRR, 2013

Using Web Co-occurrence Statistics for Improving Image Categorization.
CoRR, 2013

DeViSE: A Deep Visual-Semantic Embedding Model.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Efficient Learning of Sparse Ranking Functions.
Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

2011
Phoneme and Sentence-Level Ensembles for Speech Recognition.
EURASIP J. Audio, Speech and Music Processing, 2011

Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces
CoRR, 2011

WSABIE: Scaling Up to Large Vocabulary Image Annotation.
Proceedings of the IJCAI 2011, 2011

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

Large scale image annotation: learning to rank with joint word-image embeddings.
Machine Learning, 2010

Introduction to the Issue on Statistical Learning Methods for Speech and Language Processing.
J. Sel. Topics Signal Processing, 2010

Why Does Unsupervised Pre-training Help Deep Learning?
Journal of Machine Learning Research, 2010

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

Label Embedding Trees for Large Multi-Class Tasks.
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

2009
Discriminative keyword spotting.
Speech Communication, 2009

The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Predictive models for music.
Connect. Sci., 2009

Probabilistic models for melodic prediction.
Artif. Intell., 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

Group Sparse Coding.
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
A Discriminative Kernel-Based Approach to Rank Images from Text Queries.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

Delay learning and polychronization for reservoir computing.
Neurocomputing, 2008

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

A distance model for rhythms.
Proceedings of the Machine Learning, 2008

2007
A kernel trick for sequences applied to text-independent speaker verification systems.
Pattern Recognition, 2007

Performance Generalization in Biometric Authentication Using Joint User-Specific and Sample Bootstraps.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

The Need for Open Source Software in Machine Learning.
Journal of Machine Learning Research, 2007

Biometric Person Authentication Is a Multiple Classifier Problem.
Proceedings of the Multiple Classifier Systems, 7th International Workshop, 2007

Learning the inter-frame distance for discriminative template-based keyword detection.
Proceedings of the INTERSPEECH 2007, 2007

Exploring Contextual Information in a Layered Framework for Group Action Recognition.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Estimating the Confidence Interval of Expected Performance Curve in Biometric Authentication using Joint Bootstrap.
Proceedings of the IEEE International Conference on Acoustics, 2007

A supervised learning approach based on STDP and polychronization in spiking neuron networks.
Proceedings of the ESANN 2007, 2007

2006
User authentication via adapted statistical models of face images.
IEEE Trans. Signal Processing, 2006

Modeling individual and group actions in meetings with layered HMMs.
IEEE Trans. Multimedia, 2006

Invariances in kernel methods: From samples to objects.
Pattern Recognition Letters, 2006

On transforming statistical models for non-frontal face verification.
Pattern Recognition, 2006

Database, protocols and tools for evaluating score-level fusion algorithms in biometric authentication.
Pattern Recognition, 2006

Measuring the performance of face localization systems.
Image Vision Comput., 2006

Posterior based keyword spotting with a priori thresholds.
Proceedings of the INTERSPEECH 2006, 2006

Discriminative kernel-based phoneme sequence recognition.
Proceedings of the INTERSPEECH 2006, 2006

Graph-based transformation manifolds for invariant pattern recognition with kernel methods.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Graph-based transformation manifolds for invariant pattern recognition with kernel methods.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Modeling Interactions from Email Communication.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Semi-Supervised Kernel Methods for Regression Estimation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Using Chimeric Users to Construct Fusion Classifiers in Biometric Authentication Tasks: An Investigation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Using More Informative Posterior Probabilities for Speech Recognition.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Neural Network to Retrieve Images from Text Queries.
Proceedings of the Artificial Neural Networks, 2006

A Discriminative Approach for the Retrieval of Images from Text Queries.
Proceedings of the Machine Learning: ECML 2006, 2006

Writer Identification for Smart Meeting Room Systems.
Proceedings of the Document Analysis Systems VII, 7th International Workshop, 2006

Investigating Lexical Substitution Scoring for Subtitle Generation.
Proceedings of the Tenth Conference on Computational Natural Language Learning, 2006

Learning to Retrieve Images from Text Queries with a Discriminative Model.
Proceedings of the Adaptive Multimedia Retrieval: User, 2006

Probabilistic Melodic Harmonization.
Proceedings of the Advances in Artificial Intelligence, 2006

2005
A unified framework for score normalization techniques applied to text-independent speaker verification.
IEEE Signal Process. Lett., 2005

Kernel matching pursuit for large datasets.
Pattern Recognition, 2005

Automatic Analysis of Multimodal Group Actions in Meetings.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Online adaptive policies for ensemble classifiers.
Neurocomputing, 2005

Learning Influence among Interacting Markov Chains.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Benchmarking Non-Parametric Statistical Tests.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

A Probabilistic Interpretation of SVMs with an Application to Unbalanced Classification.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Can Chimeric Persons Be Used in Multimodal Biometric Authentication Experiments?.
Proceedings of the Machine Learning for Multimodal Interaction, 2005

Hierarchical Multi-stream Posterior Based Speech Recognition System.
Proceedings of the Machine Learning for Multimodal Interaction, 2005

Extracting information from multimedia meeting collections.
Proceedings of the 7th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2005

EER of Fixed and Trainable Fusion Classifiers: A Theoretical Study with Application to Biometric Authentication Tasks.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

A Probabilistic Model for Chord Progressions.
Proceedings of the ISMIR 2005, 2005

Developing and enhancing posterior based speech recognition systems.
Proceedings of the INTERSPEECH 2005, 2005

A graphical model for chord progressions embedded in a psychoacoustic space.
Proceedings of the Machine Learning, 2005

Semi-supervised meeting event recognition with adapted HMMs.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

On Accuracy/Robustness/Complexity Trade-Offs in Face Verification.
Proceedings of the Third International Conference on Information Technology and Applications (ICITA 2005), 2005

F-ratio Client-Dependent Normalisation for Biometric Authentication Tasks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Detecting Group Interest-Level in Meetings.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Boosting word error rates.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Neural Network for Text Representation.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

Semi-Supervised Adapted HMMs for Unusual Event Detection.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

Inferring document similarity from hyperlinks.
Proceedings of the 2005 ACM CIKM International Conference on Information and Knowledge Management, Bremen, Germany, October 31, 2005

A Novel Approach to Combining Client-Dependent and Confidence Information in Multimodal Biometrics.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

A Score-Level Fusion Benchmark Database for Biometric Authentication.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

Improving Fusion with Margin-Derived Confidence in Biometric Authentication Tasks.
Proceedings of the Audio- and Video-Based Biometric Person Authentication, 2005

2004
Offline Recognition of Unconstrained Handwritten Texts Using HMMs and Statistical Language Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Multimodal speech processing using asynchronous Hidden Markov Models.
Information Fusion, 2004

Noise-robust multi-stream fusion for text-independent speaker authentication.
Proceedings of the ODYSSEY 2004 - The Speaker and Language Recognition Workshop, Toledo, Spain, May 31, 2004

The expected performance curve: a new assessment measure for person authentication.
Proceedings of the ODYSSEY 2004 - The Speaker and Language Recognition Workshop, Toledo, Spain, May 31, 2004

A statistical significance test for person authentication.
Proceedings of the ODYSSEY 2004 - The Speaker and Language Recognition Workshop, Toledo, Spain, May 31, 2004

Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks.
Proceedings of the Machine Learning for Multimodal Interaction, 2004

Towards Computer Understanding of Human Interactions.
Proceedings of the Machine Learning for Multimodal Interaction, 2004

Tangent Vector Kernels for Invariant Image Classification with SVMs.
Proceedings of the 17th International Conference on Pattern Recognition, 2004


Links between perceptrons, MLPs and SVMs.
Proceedings of the Machine Learning, 2004

Statistical transformations of frontal models for non-frontal face verification.
Proceedings of the 2004 International Conference on Image Processing, 2004

Estimating the quality of face localization for face verification.
Proceedings of the 2004 International Conference on Image Processing, 2004

Spectral Subband Centroids as Complementary Features for Speaker Authentication.
Proceedings of the Biometric Authentication, First International Conference, 2004

Face Authentication Competition on the BANCA Database.
Proceedings of the Biometric Authentication, First International Conference, 2004

Why do multi-stream, multi-band and multi-modal approaches work on biometric user authentication tasks?
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Joint decoding for phoneme-grapheme continuous speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Boosting HMMs with an application to speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

A gentle Hessian for efficient gradient descent.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Face Verification Using Adapted Generative Models.
Proceedings of the Sixth IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2004), 2004

Online policy adaptation for ensemble classifiers.
Proceedings of the ESANN 2004, 2004

HMM and IOHMM modeling of EEG rhythms for asynchronous BCI systems.
Proceedings of the ESANN 2004, 2004

Multi Channel Sequence Processing.
Proceedings of the Deterministic and Statistical Methods in Machine Learning, 2004

Modeling Individual and Group Actions in Meetings: A Two-Layer HMM Framework.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Scaling Large Learning Problems with Hard Parallel Mixtures.
IJPRAI, 2003

Robust speech recognition and feature extraction using HMM2.
Computer Speech & Language, 2003

Multi-modal audio-visual event recognition for football analysis.
Proceedings of the NNSP 2003, 2003

Speech & face based biometric authentication at IDIAP.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

On automatic annotation of meeting databases.
Proceedings of the 2003 International Conference on Image Processing, 2003

Offline Recognition of Large Vocabulary Cursive Handwritten Text.
Proceedings of the 7th International Conference on Document Analysis and Recognition (ICDAR 2003), 2003

Improving face authentication using virtual samples.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Modeling human interaction in meetings.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Client Dependent GMM-SVM Models for Speaker Verification.
Proceedings of the Artificial Neural Networks and Neural Information Processing, 2003

Towards Computer Understanding of Human Interactions.
Proceedings of the Ambient Intelligence, First European Symposium, 2003

Robust Features for Frontal Face Authentication in Difficult Image Conditions.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003


Scalability Analysis of Audio-Visual Person Identity Verification.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

Multimodal Authentication Using Asynchronous HMMs.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

The BANCA Database and Evaluation Protocol.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2002
Writer adaptation techniques in HMM based Off-Line Cursive Script Recognition.
Pattern Recognition Letters, 2002

A Parallel Mixture of SVMs for Very Large Scale Problems.
Neural Computation, 2002

Confidence measures for multimodal identity verification.
Information Fusion, 2002

Scaling Large Learning Problems with Hard Parallel Mixtures.
Proceedings of the Pattern Recognition with Support Vector Machines, 2002

A multi-sample multi-source model for biometric authentication.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

Conditional Gaussian mixture models for environmental risk mapping.
Proceedings of the 12th IEEE Workshop on Neural Networks for Signal Processing, 2002

An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Evaluation of formant-like features for ASR.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

A comparative study of adaptation methods for speaker verification.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Offline Cursive Word Recognition using Continuous Density Hidden Markov Models Trained with PCA or ICA Features.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Improving Face Verification Using Skin Color Information.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Writer adaptation techniques in off-line cursive word recognition.
Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition, 2002

Increasing speech recognition robustness with HMM2.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
SVMTorch: Support Vector Machines for Large-Scale Regression Problems.
Journal of Machine Learning Research, 2001

A Parallel Mixture of SVMs for Very Large Scale Problems.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

HMM2- extraction of formant structures and their use for robust ASR.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Learning the decision function for speaker verification.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Taking on the curse of dimensionality in joint distributions using neural networks.
IEEE Trans. Neural Netw. Learning Syst., 2000

New Approaches Towards Robust, Adaptive Speech Recognition (invited paper).
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

HMM2- a novel approach to HMM emission probability estimation.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Automatic speech recognition using dynamic bayesian networks with both acoustic and articulatory variables.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1999
Stochastic Learning of Strategic Equilibria for Auctions.
Neural Computation, 1999

Modeling High-Dimensional Discrete Data with Multi-Layer Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997
Shared Context Probabilistic Transducers.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Dynamical Resource Reservation Scheme in an ATM Network Using Neural Network-Based Traffic Prediction.
Proceedings of the Performance Analysis of ATM Networks, 1997

1996
Use of Modular Architectures for Time Series Prediction.
Neural Processing Letters, 1996

The Vehicle Routing Problem with Time Windows Part II: Genetic Search.
INFORMS Journal on Computing, 1996

1995
On the search for new learning rules for ANNs.
Neural Processing Letters, 1995

1994
Use of Genetic Programming for the Search of a New Learning Rule for Neural Networks.
Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1991
Secure Implementations of Identification Systems.
J. Cryptology, 1991

1989
A Neural Network to Detect Homologies in Proteins.
Proceedings of the Advances in Neural Information Processing Systems 2, 1989

1987
Special Uses and Abuses of the Fiat-Shamir Passport Protocol.
Proceedings of the Advances in Cryptology, 1987


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