Aaron C. Courville

Int. J. Comput. Vis., 2020

Explicitly Modeling Syntax in Language Model improves Generalization.

[BibT_eX]

[DOI]

CoRR, 2020

NU-GAN: High resolution neural upsampling with GAN.

[BibT_eX]

[DOI]

CoRR, 2020

Data-Efficient Reinforcement Learning with Momentum Predictive Representations.

[BibT_eX]

[DOI]

CoRR, 2020

Generative Graph Perturbations for Scene Graph Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Out-of-Distribution Generalization via Risk Extrapolation (REx).

[BibT_eX]

[DOI]

CoRR, 2020

Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models.

[BibT_eX]

[DOI]

Chin-Wei Huang

Laurent Dinh

CoRR, 2020

Generative adversarial networks.

[BibT_eX]

[DOI]

Commun. ACM, 2020

Unsupervised Learning of Dense Visual Representations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Countering Language Drift with Seeded Iterated Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

On Bonus Based Exploration Methods In The Arcade Learning Environment.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Recursive Top-Down Production for Sentence Generation with Latent Trees.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Supervised Seeded Iterated Learning for Interactive Language Learning.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation.

[BibT_eX]

[DOI]

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Stochastic Neural Network with Kronecker Flow.

[BibT_eX]

[DOI]

Chin-Wei Huang

Ahmed Touati

Gintare Karolina Dziugaite

Alexandre Lacoste

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

A Large-Scale, Open-Domain, Mixed-Interface Dialogue-Based ITS for STEM.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

Detecting Semantic Anomalies.

[BibT_eX]

[DOI]

Faruk Ahmed

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

[BibT_eX]

[DOI]

CoRR, 2019

Selective Brain Damage: Measuring the Disparate Impact of Model Pruning.

[BibT_eX]

[DOI]

CoRR, 2019

Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery.

[BibT_eX]

[DOI]

CoRR, 2019

Benchmarking Bonus-Based Exploration Methods on the Arcade Learning Environment.

[BibT_eX]

[DOI]

CoRR, 2019

Adversarial Computation of Optimal Transport Maps.

[BibT_eX]

[DOI]

CoRR, 2019

Investigating Biases in Textual Entailment Datasets.

[BibT_eX]

[DOI]

CoRR, 2019

Note on the bias and variance of variational inference.

[BibT_eX]

[DOI]

Chin-Wei Huang

CoRR, 2019

Maximum Entropy Generators for Energy-Based Models.

[BibT_eX]

[DOI]

CoRR, 2019

Probability Distillation: A Caveat and Alternatives.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

CLOSURE: Assessing Systematic Generalization of CLEVR Models.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Ordered Memory.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

No-Press Diplomacy: Modeling Multi-Agent Gameplay.

[BibT_eX]

[DOI]

Jonathan K. Kummerfeld

Joelle Pineau

Satinder Singh

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis.

[BibT_eX]

[DOI]

Kundan Kumar

Rithesh Kumar

Thibault de Boissiere

Lucas Gestin

Wei Zhen Teoh

Jose Sotelo

Alexandre de Brébisson

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.

[BibT_eX]

[DOI]

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Deep Generative Modeling of LiDAR Data.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

On the Spectral Bias of Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Hierarchical Importance Weighted Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Systematic Generalization: What Is Required and Can It Be Learned?

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Improved Conditional VRNNs for Video Prediction.

[BibT_eX]

[DOI]

Lluís Castrejón

Nicolas Ballas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Batch Weight for Domain Adaptation With Mass Shift.

[BibT_eX]

[DOI]

Mikolaj Binkowski

R. Devon Hjelm

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Representation Mixing for TTS Synthesis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

VideoNavQA: Bridging the Gap between Visual and Embodied Question Answering.

[BibT_eX]

[DOI]

Catalina Cangea

Eugene Belilovsky

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Planning in Dynamic Environments with Conditional Autoregressive Models.

[BibT_eX]

[DOI]

CoRR, 2018

Harmonic Recomposition using Conditional Autoregressive Modeling.

[BibT_eX]

[DOI]

CoRR, 2018

Blindfold Baselines for Embodied QA.

[BibT_eX]

[DOI]

CoRR, 2018

On the Learning Dynamics of Deep Neural Networks.

[BibT_eX]

[DOI]

Remi Tachet des Combes

CoRR, 2018

Approximate Exploration through State Abstraction.

[BibT_eX]

[DOI]

Adrien Ali Taïga

Marc G. Bellemare

CoRR, 2018

On the Spectral Bias of Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Manifold Mixup: Encouraging Meaningful On-Manifold Interpolation as a Regularizer.

[BibT_eX]

[DOI]

CoRR, 2018

Generating Contradictory, Neutral, and Entailing Sentences.

[BibT_eX]

[DOI]

CoRR, 2018

Hierarchical Adversarially Learned Inference.

[BibT_eX]

[DOI]

Mohamed Ishmael Belghazi

CoRR, 2018

MINE: Mutual Information Neural Estimation.

[BibT_eX]

[DOI]

CoRR, 2018

Towards Text Generation with Adversarially Learned Neural Outlines.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Improving Explorability in Variational Inference with Annealed Variational Objectives.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Neural Autoregressive Flows.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Mutual Information Neural Estimation.

[BibT_eX]

[DOI]

Mohamed Ishmael Belghazi

Proceedings of the 35th International Conference on Machine Learning, 2018

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Neural Language Modeling by Jointly Learning Syntax and Lexicon.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

HoME: a Household Multimodal Environment.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Visual Reasoning with Multi-hop Feature Modulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

Sim-to-Real Transfer with Neural-Augmented Robot Simulation.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Straight to the Tree: Constituency Parsing with Neural Syntactic Distance.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

FiLM: Visual Reasoning with a General Conditioning Layer.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Brain tumor segmentation with Deep Neural Networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2017

Movie Description.

[BibT_eX]

[DOI]

Hugo Larochelle

Bernt Schiele

Int. J. Comput. Vis., 2017

Bayesian Hypernetworks.

[BibT_eX]

[DOI]

CoRR, 2017

Learnable Explicit Density for Continuous Latent Space and Variational Inference.

[BibT_eX]

[DOI]

CoRR, 2017

Self-organized Hierarchical Softmax.

[BibT_eX]

[DOI]

Yikang Shen

Shawn Tan

CoRR, 2017

Learning Visual Reasoning Without Strong Priors.

[BibT_eX]

[DOI]

CoRR, 2017

Adversarial Generation of Natural Language.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Representation Learning for NLP, 2017

Modulating early visual processing by language.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Improved Training of Wasserstein GANs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Counterpoint by Convolution.

[BibT_eX]

[DOI]

Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

End-to-end optimization of goal-driven and visually grounded dialogue systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A Closer Look at Memorization in Deep Networks.

[BibT_eX]

[DOI]

Devansh Arpit

Stanislaw Jastrzebski

Proceedings of the 34th International Conference on Machine Learning, 2017

Char2Wav: End-to-End Speech Synthesis.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Generalizable Features From Unsupervised Learning.

[BibT_eX]

[DOI]

Mehdi Mirza

Proceedings of the 5th International Conference on Learning Representations, 2017

SampleRNN: An Unconditional End-to-End Neural Audio Generation Model.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Nets Don't Learn via Memorization.

[BibT_eX]

[DOI]

David Krueger

Nicolas Ballas

Stanislaw Jastrzebski

Proceedings of the 5th International Conference on Learning Representations, 2017

PixelVAE: A Latent Variable Model for Natural Images.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Adversarially Learned Inference.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Calibrating Energy-based Generative Adversarial Networks.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Recurrent Batch Normalization.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

An Actor-Critic Algorithm for Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Piecewise Latent Variables for Neural Variational Text Processing.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, 2017

GuessWhat?! Visual Object Discovery through Multi-modal Dialogue.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Dataset and Exploration of Models for Understanding Video Data through Fill-in-the-Blank Question-Answering.

[BibT_eX]

[DOI]

Nicolas Boulanger-Lewandowski

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

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

[BibT_eX]

[DOI]

Samira Ebrahimi Kahou

Raul Chandias Ferrari

Gloria Fernández-Esparrach

J. Multimodal User Interfaces, 2016

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images.

[BibT_eX]

[DOI]

David Vázquez

Jorge Bernal

Francisco Javier Sánchez

CoRR, 2016

Multi-modal Variational Encoder-Decoders.

[BibT_eX]

[DOI]

Iulian Vlad Serban

Alexander G. Ororbia II

Joelle Pineau

CoRR, 2016

A dataset and exploration of models for understanding video data through fill-in-the-blank question-answering.

[BibT_eX]

[DOI]

Tegan Maharaj

Nicolas Ballas

CoRR, 2016

Discriminative Regularization for Generative Models.

[BibT_eX]

[DOI]

Alex Lamb

Vincent Dumoulin

Nicolas Boulanger-Lewandowski

CoRR, 2016

Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations.

[BibT_eX]

[DOI]

CoRR, 2016

Recurrent Batch Normalization.

[BibT_eX]

[DOI]

CoRR, 2016

Delving Deeper into Convolutional Networks for Learning Video Representations.

[BibT_eX]

[DOI]

Proceedings of the 4th International Conference on Learning Representations, 2016

First Result on Arabic Neural Machine Translation.

[BibT_eX]

[DOI]

CoRR, 2016

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

[BibT_eX]

[DOI]

Xavier Bouthillier

Alexandre de Brébisson

Samira Ebrahimi Kahou

Pierre-Antoine Manzagol

S. Ramana Subramanyam

CoRR, 2016

Professor Forcing: A New Algorithm for Training Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Towards End-to-End Speech Recognition with Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2016, 2016

Deconstructing the Ladder Network Architecture.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Dynamic Capacity Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Learning Vector Quantization.

[BibT_eX]

[DOI]

Harm de Vries

Roland Memisevic

Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus.

[BibT_eX]

[DOI]

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Deep Learning.

[BibT_eX]

[DOI]

Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-03561-3, 2016

2015

Describing Multimedia Content Using Attention-Based Encoder-Decoder Networks.

[BibT_eX]

[DOI]

Kyunghyun Cho

IEEE Trans. Multim., 2015

Challenges in representation learning: A report on three machine learning contests.

[BibT_eX]

[DOI]

Neural Networks, 2015

Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention Mechanism.

[BibT_eX]

[DOI]

Hugo Larochelle

CoRR, 2015

ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2015

ReSeg: A Recurrent Neural Network for Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2015

Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research.

[BibT_eX]

[DOI]

CoRR, 2015

Hierarchical Neural Network Generative Models for Movie Dialogues.

[BibT_eX]

[DOI]

CoRR, 2015

A Controller Recognizer Framework: How necessary is recognition for control?

[BibT_eX]

[DOI]

CoRR, 2015

Task Loss Estimation for Sequence Prediction.

[BibT_eX]

[DOI]

CoRR, 2015

Variance Reduction in SGD by Distributed Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Distributed Representations from Reviews for Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the 9th ACM Conference on Recommender Systems, 2015

A Recurrent Latent Variable Model for Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Describing Videos by Exploiting Temporal Structure.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

The Spike-and-Slab RBM and Extensions to Discrete and Sparse Data Distributions.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

An empirical analysis of dropout in piecewise linear networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

An Empirical Investigation of Catastrophic Forgeting in Gradient-Based Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

Deep Tempering.

[BibT_eX]

[DOI]

CoRR, 2014

Generative Adversarial Nets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

On the Challenges of Physical Implementations of RBMs.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Deep Learning of Representations.

[BibT_eX]

[DOI]

Proceedings of the Handbook on Neural Information Processing, 2013

Evaluating and Extending Trajectory Features for Activity Recognition.

[BibT_eX]

[DOI]

Ross Messing

Atousa Torabi

Proceedings of the Advanced Topics in Computer Vision, 2013

Scaling Up Spike-and-Slab Models for Unsupervised Feature Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Representation Learning: A Review and New Perspectives.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Joint Training Deep Boltzmann Machines for Classification

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

Metric-Free Natural Gradient for Joint-Training of Boltzmann Machines

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

[BibT_eX]

[DOI]

Nicholas Léonard

CoRR, 2013

Multi-Prediction Deep Boltzmann Machines.

[BibT_eX]

[DOI]

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

Challenges in Representation Learning: A Report on Three Machine Learning Contests.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 20th International Conference, 2013

Maxout Networks.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Combining modality specific deep neural networks for emotion recognition in video.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Multimodal Interaction, 2013

Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013

2012

Unsupervised and Transfer Learning Challenge: a Deep Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Unsupervised and Transfer Learning, 2012

Joint Training of Deep Boltzmann Machines

[BibT_eX]

[DOI]

CoRR, 2012

Disentangling Factors of Variation via Generative Entangling

[BibT_eX]

[DOI]

CoRR, 2012

Efficient EM Training of Gaussian Mixtures with Missing Data

[BibT_eX]

[DOI]

Olivier Delalleau

CoRR, 2012

Unsupervised Feature Learning and Deep Learning: A Review and New Perspectives

[BibT_eX]

[DOI]

CoRR, 2012

On Training Deep Boltzmann Machines

[BibT_eX]

[DOI]

CoRR, 2012

Spike-and-Slab Sparse Coding for Unsupervised Feature Discovery

[BibT_eX]

[DOI]

CoRR, 2012

Large-Scale Feature Learning With Spike-and-Slab Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

Disentangling Factors of Variation for Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

A bistable computational model of recurring epileptiform activity as observed in rodent slice preparations.

[BibT_eX]

[DOI]

Robert D. Vincent

Joelle Pineau

Neural Networks, 2011

A Spike and Slab Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

James Bergstra

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

The Statistical Inefficiency of Sparse Coding for Images (or, One Gabor to Rule them All)

[BibT_eX]

[DOI]

James Bergstra

CoRR, 2011

On Tracking The Partition Function.

[BibT_eX]

[DOI]

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

Unsupervised Models of Images by Spikeand-Slab RBMs.

[BibT_eX]

[DOI]

James Bergstra

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

Why Does Unsupervised Pre-training Help Deep Learning?

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Why Does Unsupervised Pre-training Help Deep Learning?

[BibT_eX]

[DOI]

Dumitru Erhan

Pierre-Antoine Manzagol

Samy Bengio

J. Mach. Learn. Res., 2010

Tempered Markov Chain Monte Carlo for training of Restricted Boltzmann Machines.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Adaptive Parallel Tempering for Stochastic Maximum Likelihood Learning of RBMs

[BibT_eX]

[DOI]

CoRR, 2010

2009

An Infinite Factor Model Hierarchy Via a Noisy-Or Mechanism.

[BibT_eX]

[DOI]

Douglas Eck

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

2007

The rat as particle filter.

[BibT_eX]

[DOI]

Nathaniel D. Daw