← Authors

Laurens van der Maaten

34 papers · 2008–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (17) πŸ—ΊοΈ Taxonomy Completionist (68) 🐝 Cross-Pollinator (8) 🌈 Renaissance Researcher (9) 🌟 Keyword Trendsetter Combo (4) πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (142) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ’Ž 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

Chuan Guo (7) Awni Hannun (6) Ross Girshick (6) Dhruv Mahajan (4) Ishan Misra (3) Gao Huang (3) Justin Johnson (3) Kilian Weinberger (2) Lu Zhang (2) Laura Gustafson (2)

Research topics

Privacy (1)

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 β€œSpectral Dimensionality Reduction via Maximum Entropy” AISTATS 2011
Visualizing Data using t-SNE JMLR 2008