Laurens van der Maaten

Affiliations:
  • Facebook AI Research, New York, NY, USA
  • Delft University of Technology, Netherlands


According to our database1, Laurens van der Maaten authored at least 90 papers between 2005 and 2023.

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Bibliography

2023
Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset.
CoRR, 2023

GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Convolutional Networks with Dense Connectivity.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Systematic Study of Bias Amplification.
CoRR, 2022

Submix: Practical Private Prediction for Large-Scale Language Models.
CoRR, 2022

Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract).
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Bounding Training Data Reconstruction in Private (Deep) Learning.
Proceedings of the International Conference on Machine Learning, 2022

Revisiting Weakly Supervised Pre-Training of Visual Perception Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Omnivore: A Single Model for Many Visual Modalities.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

EIFFeL: Ensuring Integrity for Federated Learning.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

Scaling up Instance Segmentation using Approximately Localized Phrases.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Data Appraisal Without Data Sharing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Physical Reasoning Using Dynamics-Aware Models.
CoRR, 2021

Measuring data leakage in machine-learning models with Fisher information.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

CrypTen: Secure Multi-Party Computation Meets Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Making Paper Reviewing Robust to Bid Manipulation Attacks.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Data Appraisal Without Data Sharing.
CoRR, 2020

The Trade-Offs of Private Prediction.
CoRR, 2020

Forward Prediction for Physical Reasoning.
CoRR, 2020

Secure multiparty computations in floating-point arithmetic.
CoRR, 2020

Certified Data Removal from Machine Learning Models.
Proceedings of the 37th International Conference on Machine Learning, 2020

Self-Supervised Learning of Pretext-Invariant Representations.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Measuring Dataset Granularity.
CoRR, 2019

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning.
CoRR, 2019

Privacy-Preserving Contextual Bandits.
CoRR, 2019

Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding.
CoRR, 2019

PHYRE: A New Benchmark for Physical Reasoning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Anytime Stereo Image Depth Estimation on Mobile Devices.
Proceedings of the International Conference on Robotics and Automation, 2019

Evaluating Text-to-Image Matching using Binary Image Selection (BISON).
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Feature Denoising for Improving Adversarial Robustness.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Does Object Recognition Work for Everyone?
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

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

Multi-Scale Dense Networks for Resource Efficient Image Classification.
Proceedings of the 6th International Conference on Learning Representations, 2018

Countering Adversarial Images using Input Transformations.
Proceedings of the 6th International Conference on Learning Representations, 2018

PAWE: Polysemy Aware Word Embeddings.
Proceedings of the 2nd International Conference on Information System and Data Mining, 2018

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

Separating Self-Expression and Visual Content in Hashtag Supervision.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Learning by Asking Questions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

CondenseNet: An Efficient DenseNet Using Learned Group Convolutions.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

3D Semantic Segmentation With Submanifold Sparse Convolutional Networks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Memory-Efficient Implementation of DenseNets.
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.
J. Mach. Learn. Res., 2016

Modeling Time Series Similarity with Siamese Recurrent Networks.
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.
Comput. Vis. Image Underst., 2015

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

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

Accelerating t-SNE using tree-based algorithms.
J. Mach. Learn. Res., 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.
J. Mach. Learn. Res., 2013

Barnes-Hut-SNE
Proceedings of the 1st International Conference on Learning Representations, 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.
Mach. Learn., 2012

Analyzing floristic inventories with multiple maps.
Ecol. Informatics, 2012

Action unit classification using active appearance models and conditional random fields.
Cogn. Process., 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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