Laurens van der Maaten
34 papers · 2008–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Cross-Pollinator
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Renaissance Researcher
(9)
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Keyword Trendsetter Combo
(4)
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Keyword Champion
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(7)
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Trend Setter
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Keyword Collector
(142)
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Conference Pioneer
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Prolific Year
(5)
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Century Club
(34)
Conferences
CVPR (13)
NIPS (4)
AISTATS (3)
ICLR (3)
ICML (3)
JMLR (3)
ICCV (2)
ECCV (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
convolutional neural network
(4)
dimensionality reduction
(3)
image classification
(3)
hashtag supervision
(2)
differential privacy
(2)
feature reuse
(2)
fisher information
(2)
multimodal learning
(2)
multi-modal learning
(2)
visual reasoning
(2)
object recognition
(2)
sample efficiency
(2)
data leakage
(2)
adversarial robustness
(2)
visual question answering
(2)
data visualization
(2)
representation learning
(2)
self-supervised learning
(2)
adversarial attack
(2)
adversarial learning
(1)
Papers
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition
NIPS 2023
Omnivore: A Single Model for Many Visual Modalities
CVPR 2022
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)
IJCAI 2022
Data Appraisal Without Data Sharing
AISTATS 2022
Bounding Training Data Reconstruction in Private (Deep) Learning
ICML 2022
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
CVPR 2022
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
NIPS 2021
Measuring data leakage in machine-learning models with Fisher information
UAI 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning
NIPS 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Self-Supervised Learning of Pretext-Invariant Representations
CVPR 2020
Certified Data Removal from Machine Learning Models
ICML 2020
Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search
CVPR 2019
PHYRE: A New Benchmark for Physical Reasoning
NIPS 2019
Feature Denoising for Improving Adversarial Robustness
CVPR 2019
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
CVPR 2018
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks
CVPR 2018
Learning by Asking Questions
CVPR 2018
Exploring the Limits of Weakly Supervised Pretraining
ECCV 2018
Multi-Scale Dense Networks for Resource Efficient Image Classification
ICLR 2018
Countering Adversarial Images using Input Transformations
ICLR 2018
Separating Self-Expression and Visual Content in Hashtag Supervision
CVPR 2018
Inferring and Executing Programs for Visual Reasoning
ICCV 2017
Densely Connected Convolutional Networks
CVPR 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
CVPR 2017
Learning Visual N-Grams From Web Data
ICCV 2017
Speeding Up Tracking by Ignoring Features
CVPR 2014
Accelerating t-SNE using Tree-Based Algorithms
JMLR 2014
Structure Preserving Object Tracking
CVPR 2013
Divvy: Fast and Intuitive Exploratory Data Analysis
JMLR 2013
Hidden-Unit Conditional Random Fields
AISTATS 2011
Discussion of βSpectral Dimensionality Reduction via Maximum Entropyβ
AISTATS 2011
Visualizing Data using t-SNE
JMLR 2008