Pascal Vincent

According to our database1, Pascal Vincent authored at least 75 papers between 1990 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis.
CoRR, 2018

Randomized Value Functions via Multiplicative Normalizing Flows.
CoRR, 2018

A Variational Inequality Perspective on Generative Adversarial Nets.
CoRR, 2018

Convergent TREE BACKUP and RETRACE with Function Approximation.
Proceedings of the 35th International Conference on Machine Learning, 2018

Auto-Encoding Dictionary Definitions into Consistent Word Embeddings.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017
Improving Landmark Localization with Semi-Supervised Learning.
CoRR, 2017

Convergent Tree-Backup and Retrace with Function Approximation.
CoRR, 2017

Learning to Generate Samples from Noise through Infusion Training.
CoRR, 2017

Learning to Compute Word Embeddings On the Fly.
CoRR, 2017

RATM: Recurrent Attentive Tracking Model.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016
EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

Exact gradient updates in time independent of output size for the spherical loss family.
CoRR, 2016

Hierarchical Memory Networks.
CoRR, 2016

The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family.
CoRR, 2016

A Cheap Linear Attention Mechanism with Fast Lookups and Fixed-Size Representations.
CoRR, 2016

Theano: A Python framework for fast computation of mathematical expressions.
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CoRR, 2016

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Dropout as data augmentation.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation.
CoRR, 2015

An Exploration of Softmax Alternatives Belonging to the Spherical Loss Family.
CoRR, 2015

Artificial Neural Networks Applied to Taxi Destination Prediction.
CoRR, 2015

Clustering is Efficient for Approximate Maximum Inner Product Search.
CoRR, 2015

GSNs : Generative Stochastic Networks.
CoRR, 2015

Artificial Neural Networks Applied to Taxi Destination Prediction.
Proceedings of the ECML/PKDD 2015 Discovery Challenges co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2015), 2015

Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets.
CoRR, 2014

2013
Representation Learning: A Review and New Perspectives.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Generalized Denoising Auto-Encoders as Generative Models
CoRR, 2013

Generalized Denoising Auto-Encoders as Generative Models.
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

Audio Chord Recognition with Recurrent Neural Networks.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Unsupervised Learning of Semantics of Object Detections for Scene Categorization.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization.
Proceedings of the ICPRAM 2013, 2013

Semi Supervised Autoencoders: Better Focusing Model Capacity during Feature Extraction.
Proceedings of the Neural Information Processing - 20th International Conference, 2013


High-dimensional sequence transduction.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.
Proceedings of the Unsupervised and Transfer Learning, 2012

High-dimensional sequence transduction
CoRR, 2012

Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives
CoRR, 2012

Discriminative Non-negative Matrix Factorization for Multiple Pitch Estimation.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

A Generative Process for Contractive Auto-Encoders.
Proceedings of the 29th International Conference on Machine Learning, 2012

Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription.
Proceedings of the 29th International Conference on Machine Learning, 2012

Disentangling Factors of Variation for Facial Expression Recognition.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
A Connection Between Score Matching and Denoising Autoencoders.
Neural Computation, 2011

Quickly Generating Representative Samples from an RBM-Derived Process.
Neural Computation, 2011

A high-order feature synthesis and selection algorithm applied to insurance risk modelling.
IJBIDM, 2011

Learning invariant features through local space contraction
CoRR, 2011

Adding noise to the input of a model trained with a regularized objective
CoRR, 2011

Higher Order Contractive Auto-Encoder.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

The Manifold Tangent Classifier.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Fabrication and characterization of 100-nm wide silicon nanocantilevers using top-down approach.
Proceedings of the 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2011

Contractive Auto-Encoders: Explicit Invariance During Feature Extraction.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion.
Journal of Machine Learning Research, 2010

Why Does Unsupervised Pre-training Help Deep Learning?
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

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

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Deep Learning using Robust Interdependent Codes.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 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

2008
Extracting and composing robust features with denoising autoencoders.
Proceedings of the Machine Learning, 2008

Scoring Models for Insurance Risk Sharing Pool Opimization.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

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

2005
Convex Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Non-Local Manifold Parzen Windows.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Learning Eigenfunctions Links Spectral Embedding and Kernel PCA.
Neural Computation, 2004

2003
A Neural Probabilistic Language Model.
Journal of Machine Learning Research, 2003

Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Kernel Matching Pursuit.
Machine Learning, 2002

Manifold Parzen Windows.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

2001
ROBOSIX UPMC-CFA: RoboCup Team Description.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
A Neural Probabilistic Language Model.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000

A Neural Support Vector Network Architecture with Adaptive Kernels.
IJCNN (5), 2000

1999
Color Documents on the Web with DJVU.
Proceedings of the 1999 International Conference on Image Processing, 1999

1990
Region Tracking through Neural Classifier.
Proceedings of IAPR Workshop on Machine Vision Applications, 1990


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