Laurens van der Maaten

According to our database1, Laurens van der Maaten authored at least 64 papers between 2005 and 2018.

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Bibliography

2018
Multivariate Time-Series Classification Using the Hidden-Unit Logistic Model.
IEEE Trans. Neural Netw. Learning Syst., 2018

Anytime Stereo Image Depth Estimation on Mobile Devices.
CoRR, 2018

Exploring the Limits of Weakly Supervised Pretraining.
CoRR, 2018

Exploring the Limits of Weakly Supervised Pretraining.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Approximated and User Steerable tSNE for Progressive Visual Analytics.
IEEE Trans. Vis. Comput. Graph., 2017

Learning by Asking Questions.
CoRR, 2017

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks.
CoRR, 2017

Separating Self-Expression and Visual Content in Hashtag Supervision.
CoRR, 2017

CondenseNet: An Efficient DenseNet using Learned Group Convolutions.
CoRR, 2017

Countering Adversarial Images using Input Transformations.
CoRR, 2017

Memory-Efficient Implementation of DenseNets.
CoRR, 2017

Inferring and Executing Programs for Visual Reasoning.
CoRR, 2017

Multi-Scale Dense Convolutional Networks for Efficient Prediction.
CoRR, 2017

Submanifold Sparse Convolutional Networks.
CoRR, 2017

Learning Visual N-Grams from Web Data.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Inferring and Executing Programs for Visual Reasoning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Densely Connected Convolutional Networks.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Feature-Level Domain Adaptation.
Journal of Machine Learning Research, 2016

Modeling Time Series Similarity with Siamese Recurrent Networks.
CoRR, 2016

Learning Visual N-Grams from Web Data.
CoRR, 2016

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning.
CoRR, 2016

Revisiting Visual Question Answering Baselines.
CoRR, 2016

Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance.
CoRR, 2016

Learning Visual Features from Large Weakly Supervised Data.
Proceedings of the Computer Vision - ECCV 2016, 2016

Revisiting Visual Question Answering Baselines.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintings.
IEEE Signal Process. Mag., 2015

Introduction to the special issue on visual analytics using multidimensional projections.
Neurocomputing, 2015

Adaptive stereo similarity fusion using confidence measures.
Computer Vision and Image Understanding, 2015

Approximated and User Steerable tSNE for Progressive Visual Analytics.
CoRR, 2015

Time Series Classification using the Hidden-Unit Logistic Model.
CoRR, 2015

Feature-Level Domain Adaptation.
CoRR, 2015

Learning Visual Features from Large Weakly Supervised Data.
CoRR, 2015

2014
Preserving Structure in Model-Free Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Accelerating t-SNE using tree-based algorithms.
Journal of Machine Learning Research, 2014

Marginalizing Corrupted Features.
CoRR, 2014

Improving Object Tracking by Adapting Detectors.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Hybrid Kinect Depth Map Refinement for Transparent Objects.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Stereo Similarity Metric Fusion Using Stereo Confidence.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Graph-Based Kinship Recognition.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

On Fast Trackers that are Robust to Partial Occlusions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2014

Speeding Up Tracking by Ignoring Features.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Divvy: fast and intuitive exploratory data analysis.
Journal of Machine Learning Research, 2013

Barnes-Hut-SNE
CoRR, 2013

Learning with Marginalized Corrupted Features.
Proceedings of the 30th International Conference on Machine Learning, 2013

Structure Preserving Object Tracking.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Visualizing non-metric similarities in multiple maps.
Machine Learning, 2012

Analyzing floristic inventories with multiple maps.
Ecological Informatics, 2012

Action unit classification using active appearance models and conditional random fields.
Cognitive Processing, 2012

Stochastic triplet embedding.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Accelerating Cost Aggregation for Real-Time Stereo Matching.
Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems, 2012

Audio-visual emotion challenge 2012: a simple approach.
Proceedings of the International Conference on Multimodal Interaction, 2012

Improving segment based stereo matching using SURF key points.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

A Behavioral Investigation of Dimensionality Reduction.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

2011
Hidden-Unit Conditional Random Fields.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Discussion of "Spectral Dimensionality Reduction via Maximum Entropy".
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Learning Discriminative Fisher Kernels.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development.
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

On Herding and the Perceptron Cycling Theorem.
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

Deep Supervised t-Distributed Embedding.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Capturing appearance variation in active appearance models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Learning a Parametric Embedding by Preserving Local Structure.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2007
Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

2005
Improving automatic writer identification.
Proceedings of the BNAIC 2005, 2005


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