Laurens J. P. Van Der Maaten
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Laurens J. P. Van Der Maatencomputer-science Degrees
Computer Science
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#4644
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Data Science
#55
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#56
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Machine Learning
#853
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#865
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Database
#1617
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#1696
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Computer Science
Laurens J. P. Van Der Maaten's Degrees
- PhD Computer Science Delft University of Technology
- Masters Computer Science Delft University of Technology
- Bachelors Computer Science Delft University of Technology
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(Suggest an Edit or Addition)Laurens J. P. Van Der Maaten's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Visualizing Data using t-SNE (2008) (28307)
- Dimensionality Reduction: A Comparative Review (2009) (2232)
- Accelerating t-SNE using tree-based algorithms (2014) (2026)
- CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning (2016) (1569)
- Exploring the Limits of Weakly Supervised Pretraining (2018) (1048)
- Countering Adversarial Images using Input Transformations (2018) (1044)
- 3D Semantic Segmentation with Submanifold Sparse Convolutional Networks (2017) (892)
- Self-Supervised Learning of Pretext-Invariant Representations (2019) (867)
- Feature Denoising for Improving Adversarial Robustness (2018) (671)
- CondenseNet: An Efficient DenseNet Using Learned Group Convolutions (2017) (646)
- Multi-Scale Dense Networks for Resource Efficient Image Classification (2017) (519)
- Learning a Parametric Embedding by Preserving Local Structure (2009) (473)
- Inferring and Executing Programs for Visual Reasoning (2017) (458)
- Learning Visual Features from Large Weakly Supervised Data (2015) (301)
- Submanifold Sparse Convolutional Networks (2017) (277)
- Revisiting Visual Question Answering Baselines (2016) (262)
- Approximated and User Steerable tSNE for Progressive Visual Analytics (2015) (245)
- Visualizing non-metric similarities in multiple maps (2011) (239)
- Stochastic triplet embedding (2012) (200)
- Structure Preserving Object Tracking (2013) (193)
- SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning (2019) (184)
- Learning with Marginalized Corrupted Features (2013) (165)
- Does Object Recognition Work for Everyone? (2019) (159)
- An Introduction to Dimensionality Reduction Using Matlab (2007) (157)
- Certified Data Removal from Machine Learning Models (2019) (137)
- Memory-Efficient Implementation of DenseNets (2017) (134)
- Preserving Structure in Model-Free Tracking (2014) (133)
- Barnes-Hut-SNE (2013) (128)
- Multi-Scale Dense Convolutional Networks for Efficient Prediction (2017) (115)
- Anytime Stereo Image Depth Estimation on Mobile Devices (2018) (103)
- CrypTen: Secure Multi-Party Computation Meets Machine Learning (2021) (101)
- Learning Discriminative Fisher Kernels (2011) (86)
- Learning Visual N-Grams from Web Data (2016) (79)
- PHYRE: A New Benchmark for Physical Reasoning (2019) (77)
- COIN-O-MATIC: A fast system for reliable coin classification (2006) (73)
- Hidden-Unit Conditional Random Fields (2011) (70)
- Learning by Asking Questions (2017) (63)
- Omnivore: A Single Model for Many Visual Modalities (2022) (63)
- Graph-Based Kinship Recognition (2014) (61)
- Feature extraction from visual data (2009) (57)
- Deep Supervised t-Distributed Embedding (2010) (55)
- Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search (2019) (52)
- A New Benchmark Dataset for Handwritten Character Recognition (2009) (50)
- Feature-Level Domain Adaptation (2015) (46)
- Improving automatic writer identification (2005) (46)
- Modeling Time Series Similarity with Siamese Recurrent Networks (2016) (43)
- Revisiting Weakly Supervised Pre-Training of Visual Perception Models (2022) (40)
- A Behavioral Investigation of Dimensionality Reduction (2012) (40)
- Action unit classification using active appearance models and conditional random fields (2011) (39)
- An Automated Method for Semantic Classification of Regions in Coastal Images (2015) (34)
- Computer vision and machine learning for archaeology (2006) (32)
- Off-Line Learning with Transductive Confidence Machines: An Empirical Evaluation (2007) (27)
- Separating Self-Expression and Visual Content in Hashtag Supervision (2017) (25)
- Towards automatic coin classification (2006) (25)
- Multimodal Integration of Dynamic Audio–Visual Cues in the Communication of Agreement and Disagreement (2014) (23)
- Capturing appearance variation in active appearance models (2010) (22)
- On Herding and the Perceptron Cycling Theorem (2010) (22)
- Matlab Toolbox for Dimensionality Reduction Laurens van der Maaten (2007) (22)
- Audio-visual emotion challenge 2012: a simple approach (2012) (20)
- Adaptive stereo similarity fusion using confidence measures (2015) (18)
- Automatic Thread-Level Canvas Analysis: A machine-learning approach to analyzing the canvas of paintings (2015) (18)
- A Systematic Study of Bias Amplification (2022) (18)
- Automated Surface Texture Classification of Inkjet and Photographic Media (2013) (16)
- Making Paper Reviewing Robust to Bid Manipulation Attacks (2021) (16)
- Measuring Data Leakage in Machine-Learning Models with Fisher Information (2021) (15)
- Secure multiparty computations in floating-point arithmetic (2020) (15)
- Forward Prediction for Physical Reasoning (2020) (13)
- Bounding Training Data Reconstruction in Private (Deep) Learning (2022) (13)
- Torchnet: An Open-Source Platform for (Deep) Learning Research (2016) (13)
- Persistent self-supervised learning: From stereo to monocular vision for obstacle avoidance (2016) (13)
- Evaluating Text-to-Image Matching using Binary Image Selection (BISON) (2019) (13)
- Texton-based Texture Classification (2007) (12)
- Improving segment based stereo matching using SURF key points (2012) (12)
- The Trade-Offs of Private Prediction (2020) (11)
- Analyzing floristic inventories with multiple maps (2012) (11)
- Accelerating Cost Aggregation for Real-Time Stereo Matching (2012) (11)
- Fast Optimization for t-SNE (2010) (11)
- EIFFeL: Ensuring Integrity for Federated Learning (2021) (10)
- Hybrid Kinect Depth Map Refinement for Transparent Objects (2014) (10)
- Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding (2019) (9)
- Speeding Up Tracking by Ignoring Features (2014) (9)
- Identifying the Real Van Gogh with Brushstroke Textons (2009) (8)
- Visualization and Automatic Typology Construction of Pottery Profiles (2009) (7)
- Submix: Practical Private Prediction for Large-Scale Language Models (2022) (6)
- Persistent self-supervised learning principle: from stereo to monocular vision for obstacle avoidance (2016) (6)
- Discriminative Restricted Boltzmann Machines are Universal Approximators for Discrete Data (2011) (6)
- Feature-Based Stereo Matching Using Graph Cuts (2011) (6)
- Stereo Similarity Metric Fusion Using Stereo Confidence (2014) (6)
- Privacy-Preserving Contextual Bandits (2019) (6)
- OGRE: An Object-based Generalization for Reasoning Environment (2020) (6)
- Dimensionality Reduction : AComparative Review (2008) (5)
- On Data-Driven Approaches to Head-Related-Transfer Function Personalization (2017) (5)
- Marginalizing Corrupted Features (2014) (5)
- Preserving Local Structure in Gaussian Process Latent Variable Models (2009) (5)
- Measuring Dataset Granularity (2019) (5)
- Automatic Thread-Level Canvas Analysis (2015) (4)
- Privacy-Preserving Multi-Party Contextual Bandits (2019) (4)
- Improving Object Tracking by Adapting Detectors (2014) (4)
- Reliable Classification of Partially Occluded Coins (2007) (3)
- Identification of Myosotis seeds by means of digital image analysis (2011) (3)
- Divvy: fast and intuitive exploratory data analysis (2013) (3)
- Latent Variable Models for Predicting File Dependencies in Large-Scale Software Development (2010) (3)
- Proceedings of the SPIE Optical Engineering and Applications (2010) (2)
- Beyond web-scraping: Crowd-sourcing a geographically diverse image dataset (2023) (2)
- Inferring and Executing Programs for Visual Reasoning Supplementary Material (2017) (2)
- Introduction to the special issue on visual analytics using multidimensional projections (2015) (2)
- Data Appraisal Without Data Sharing (2020) (2)
- PAWE: Polysemy Aware Word Embeddings (2018) (2)
- Discussion of "Spectral Dimensionality Reduction via Maximum Entropy" (2011) (1)
- Physical Reasoning Using Dynamics-Aware Models (2021) (1)
- Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems (2021) (1)
- Pose Estimation and Tracking of Eating Persons in Real-life Settings (2011) (1)
- Supplemental Material for Visualizing Data using t-SNE (2008) (1)
- GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition (2023) (0)
- Repulsive Affinity-Based Clustering (2009) (0)
- On Fast Trackers that are Robust to Partial Occlusions (2014) (0)
- Modeling Semantic Similarities in Multiple Maps (2009) (0)
- AU Classification using AAMs and CRFs (2013) (0)
- Scaling up Instance Segmentation using Approximately Localized Phrases (2022) (0)
- Fast and Reliable Coin Classification (2007) (0)
- $XWRPDWHG6XUIDFH7H(WXUH&ODVVLøFDWLRQRI ,QNMHWDQG3KRWRJUDSKLF0HGLD (2013) (0)
- Deep Learning for Computer Vision and Bioinformatics (2015) (0)
- AU Classification using AAMs and CRFs (extended abstract) (2012) (0)
- Soli-Expression by Nonlinear Stochastic Heterogeneity with One-Dimensional Categorical Analysis of Human T Cell (2015) (0)
- Bayesian Mixtures of Bernoulli Distributions (2010) (0)
- On Herding in Deep Networks (2010) (0)
- Texture in Inkjet and Photographic Media (2015) (0)
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