Arthur Szlam

According to our database1, Arthur Szlam authored at least 69 papers between 2009 and 2018.

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Bibliography

2018
Planning with Arithmetic and Geometric Attributes.
CoRR, 2018

Lightweight Adaptive Mixture of Neural and N-gram Language Models.
CoRR, 2018

Composable Planning with Attributes.
CoRR, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.
CoRR, 2018

Personalizing Dialogue Agents: I have a dog, do you have pets too?
CoRR, 2018

Composable Planning with Attributes.
Proceedings of the 35th International Conference on Machine Learning, 2018

Modeling Others using Oneself in Multi-Agent Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

Optimizing the Latent Space of Generative Networks.
Proceedings of the 35th International Conference on Machine Learning, 2018

Personalizing Dialogue Agents: I have a dog, do you have pets too?
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Algorithm 971: An Implementation of a Randomized Algorithm for Principal Component Analysis.
ACM Trans. Math. Softw., 2017

Geometric Deep Learning: Going beyond Euclidean data.
IEEE Signal Process. Mag., 2017

Accurate Low-Rank Approximations Via a Few Iterations of Alternating Least Squares.
SIAM J. Matrix Analysis Applications, 2017

Mastering the Dungeon: Grounded Language Learning by Mechanical Turker Descent.
CoRR, 2017

Training Language Models Using Target-Propagation.
CoRR, 2017

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.
CoRR, 2017

Automatic Rule Extraction from Long Short Term Memory Networks.
CoRR, 2017

Hard Mixtures of Experts for Large Scale Weakly Supervised Vision.
CoRR, 2017

Low-shot learning with large-scale diffusion.
CoRR, 2017

Optimizing the Latent Space of Generative Networks.
CoRR, 2017

Transformation-Based Models of Video Sequences.
CoRR, 2017

Hard Mixtures of Experts for Large Scale Weakly Supervised Vision.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
A Mathematical Motivation for Complex-Valued Convolutional Networks.
Neural Computation, 2016

Accurate principal component analysis via a few iterations of alternating least squares.
CoRR, 2016

Learning Multiagent Communication with Backpropagation.
CoRR, 2016

Tracking the World State with Recurrent Entity Networks.
CoRR, 2016

Orthogonal RNNs and Long-Memory Tasks.
CoRR, 2016

Geometric deep learning: going beyond Euclidean data.
CoRR, 2016

Learning Multiagent Communication with Backpropagation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

Recurrent Orthogonal Networks and Long-Memory Tasks.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Simple Baseline for Visual Question Answering.
CoRR, 2015

Weakly Supervised Memory Networks.
CoRR, 2015

MazeBase: A Sandbox for Learning from Games.
CoRR, 2015

Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems.
CoRR, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
CoRR, 2015

Scale-invariant learning and convolutional networks.
CoRR, 2015

A theoretical argument for complex-valued convolutional networks.
CoRR, 2015

End-To-End Memory Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model.
Journal of Mathematical Imaging and Vision, 2014

An implementation of a randomized algorithm for principal component analysis.
CoRR, 2014

Video (language) modeling: a baseline for generative models of natural videos.
CoRR, 2014

Better Feature Tracking Through Subspace Constraints.
CoRR, 2014

An Incremental Reseeding Strategy for Clustering.
CoRR, 2014

Unsupervised Feature Learning by Deep Sparse Coding.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Signal recovery from Pooling Representations.
Proceedings of the 31th International Conference on Machine Learning, 2014

K-mappings and Regression trees.
Proceedings of the IEEE International Conference on Acoustics, 2014

Better Feature Tracking through Subspace Constraints.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Robust Locally Linear Analysis with Applications to Image Denoising and Blind Inpainting.
SIAM J. Imaging Sciences, 2013

Tree structured sparse coding on cubes
CoRR, 2013

Learning Stable Group Invariant Representations with Convolutional Networks
CoRR, 2013

Unsupervised Feature Learning by Deep Sparse Coding.
CoRR, 2013

Spectral Networks and Locally Connected Networks on Graphs.
CoRR, 2013

2012
Hybrid Linear Modeling via Local Best-Fit Flats.
International Journal of Computer Vision, 2012

Fast approximations to structured sparse coding and applications to object classification
CoRR, 2012

K-subspaces with missing data.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Fast Approximations to Structured Sparse Coding and Applications to Object Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Structured sparse coding via lateral inhibition.
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

2010
Hybrid Linear Modeling via Local Best-fit Flats
CoRR, 2010

Convolutional Matching Pursuit and Dictionary Training
CoRR, 2010

Randomized hybrid linear modeling by local best-fit flats
CoRR, 2010

Total Variation, Cheeger Cuts.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A split Bregman method for non-negative sparsity penalized least squares with applications to hyperspectral demixing.
Proceedings of the International Conference on Image Processing, 2010

Randomized hybrid linear modeling by local best-fit flats.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
A Randomized Algorithm for Principal Component Analysis.
SIAM J. Matrix Analysis Applications, 2009

Median K-flats for hybrid linear modeling with many outliers
CoRR, 2009

Semi-supervised Segmentation Based on Non-local Continuous Min-Cut.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Discriminative k-metrics.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009


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