Laurens van der Maaten
35 papers · 2005–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Laurens van der Maaten?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Ross Girshick, Dhruv Mahajan, Justin Johnson
13 papers
· 2017–2025
· CVPR, NeurIPS, ICCV
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with Chuan Guo, Awni Hannun, Gao Huang
12 papers
· 2017–2022
· ICML, NeurIPS, CVPR
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Bounding Training Data Reconstruction in Private (Deep) Learning
ICML 2022
Data Appraisal Without Data Sharing
AISTATS 2022
Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract)
IJCAI 2022
CrypTen: Secure Multi-Party Computation Meets Machine Learning
NeurIPS 2021
Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems
NeurIPS 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Measuring data leakage in machine-learning models with Fisher information
UAI 2021
Certified Data Removal from Machine Learning Models
ICML 2020
CondenseNet: An Efficient DenseNet Using Learned Group Convolutions
CVPR 2018
Countering Adversarial Images using Input Transformations
ICLR 2018
Multi-Scale Dense Networks for Resource Efficient Image Classification
ICLR 2018
Densely Connected Convolutional Networks
CVPR 2017
8 papers whose co-authors appear nowhere else under this name
3D Semantic Segmentation With Submanifold Sparse Convolutional Networks
CVPR 2018
Separating Self-Expression and Visual Content in Hashtag Supervision
CVPR 2018
Accelerating t-SNE using Tree-Based Algorithms
JMLR 2014
Divvy: Fast and Intuitive Exploratory Data Analysis
JMLR 2013
Discussion of “Spectral Dimensionality Reduction via Maximum Entropy”
AISTATS 2011
Hidden-Unit Conditional Random Fields
AISTATS 2011
Visualizing Data using t-SNE
JMLR 2008
Learning a Parametric Embedding by Preserving Local Structure
AISTATS 2005