Laurens van der Maaten
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
44
Venues
16
Active years
2010–2025
Best venue rank
A*
Where they publish
Papers
44 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Law of the Weakest Link: Cross Capabilities of Large Language Models. | Ming Zhong, Aston Zhang, Xuewei Wang, Rui Hou, Wenhan Xiong, Chenguang Zhu, Zhengxing Chen, Liang Tan, Chloe Bi, Mike Lewis, Sravya Popuri, Sharan Narang, Melanie Kambadur, Dhruv Mahajan, Sergey Edunov, Jiawei Han, Laurens van der Maaten |
| 2022 | AISTATS | Data Appraisal Without Data Sharing. | Xinlei Xu, Awni Y. Hannun, Laurens van der Maaten |
| 2022 | BMVC | Scaling up Instance Segmentation using Approximately Localized Phrases. | Karan Desai, Ishan Misra, Justin Johnson, Laurens van der Maaten |
| 2022 | CCS | EIFFeL: Ensuring Integrity for Federated Learning. | Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten |
| 2022 | CVPR | Omnivore: A Single Model for Many Visual Modalities. | Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra |
| 2022 | CVPR | Revisiting Weakly Supervised Pre-Training of Visual Perception Models. | Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollr, Laurens van der Maaten |
| 2022 | ICML | Bounding Training Data Reconstruction in Private (Deep) Learning. | Chuan Guo, Brian Karrer, Kamalika Chaudhuri, Laurens van der Maaten |
| 2022 | IJCAI | Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract). | Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2021 | ICML | Making Paper Reviewing Robust to Bid Manipulation Attacks. | Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger |
| 2021 | UAI | Measuring data leakage in machine-learning models with Fisher information. | Awni Y. Hannun, Chuan Guo, Laurens van der Maaten |
| 2020 | CVPR | Self-Supervised Learning of Pretext-Invariant Representations. | Ishan Misra, Laurens van der Maaten |
| 2020 | ICML | Certified Data Removal from Machine Learning Models. | Chuan Guo, Tom Goldstein, Awni Y. Hannun, Laurens van der Maaten |
| 2019 | CVPR | Does Object Recognition Work for Everyone? | Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten |
| 2019 | CVPR | Defense Against Adversarial Images Using Web-Scale Nearest-Neighbor Search. | Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan |
| 2019 | CVPR | Feature Denoising for Improving Adversarial Robustness. | Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan L. Yuille, Kaiming He |
| 2019 | ICRA | Anytime Stereo Image Depth Estimation on Mobile Devices. | Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark E. Campbell, Kilian Q. Weinberger |
| 2018 | CVPR | 3D Semantic Segmentation With Submanifold Sparse Convolutional Networks. | Benjamin Graham, Martin Engelcke, Laurens van der Maaten |
| 2018 | CVPR | CondenseNet: An Efficient DenseNet Using Learned Group Convolutions. | Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2018 | CVPR | Learning by Asking Questions. | Ishan Misra, Ross B. Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten |
| 2018 | CVPR | Separating Self-Expression and Visual Content in Hashtag Supervision. | Andreas Veit, Maximilian Nickel, Serge J. Belongie, Laurens van der Maaten |
| 2018 | ECCV | Exploring the Limits of Weakly Supervised Pretraining. | Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten |
| 2018 | ICLR | Countering Adversarial Images using Input Transformations. | Chuan Guo, Mayank Rana, Moustapha Ciss, Laurens van der Maaten |
| 2018 | ICLR | Multi-Scale Dense Networks for Resource Efficient Image Classification. | Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | CVPR | Densely Connected Convolutional Networks. | Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger |
| 2017 | CVPR | CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning. | Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick |
| 2017 | ICCV | Inferring and Executing Programs for Visual Reasoning. | Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross B. Girshick |
| 2017 | ICCV | Learning Visual N-Grams from Web Data. | Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten |
| 2016 | ECCV | Revisiting Visual Question Answering Baselines. | Allan Jabri, Armand Joulin, Laurens van der Maaten |
| 2016 | ECCV | Learning Visual Features from Large Weakly Supervised Data. | Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache |
| 2014 | CVPR | Speeding Up Tracking by Ignoring Features. | Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten |
| 2014 | CVPR | On Fast Trackers that are Robust to Partial Occlusions. | Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten |
| 2014 | ICPR | Graph-Based Kinship Recognition. | Yuanhao Guo, Hamdi Dibeklioglu, Laurens van der Maaten |
| 2014 | ICPR | Stereo Similarity Metric Fusion Using Stereo Confidence. | Gorkem Saygili, Laurens van der Maaten, Emile A. Hendriks |
| 2014 | ICPR | Hybrid Kinect Depth Map Refinement for Transparent Objects. | Gorkem Saygili, Laurens van der Maaten, Emile A. Hendriks |
| 2014 | ICPR | Improving Object Tracking by Adapting Detectors. | Lu Zhang, Laurens van der Maaten |
| 2013 | CVPR | Structure Preserving Object Tracking. | Lu Zhang, Laurens van der Maaten |
| 2013 | ICML | Learning with Marginalized Corrupted Features. | Laurens van der Maaten, Minmin Chen, Stephen Tyree, Kilian Q. Weinberger |
| 2012 | CogSci | A Behavioral Investigation of Dimensionality Reduction. | Joshua M. Lewis, Laurens van der Maaten, Virginia R. de Sa |
| 2012 | ICIP | Improving segment based stereo matching using SURF key points. | Gorkem Saygili, Laurens van der Maaten, Emile A. Hendriks |
| 2012 | ICMI | Audio-visual emotion challenge 2012: a simple approach. | Laurens van der Maaten |
| 2012 | ICPADS | Accelerating Cost Aggregation for Real-Time Stereo Matching. | Jianbin Fang, Ana Lucia Varbanescu, Jie Shen, Henk J. Sips, Gorkem Saygili, Laurens van der Maaten |
| 2011 | ICML | Learning Discriminative Fisher Kernels. | Laurens van der Maaten |
| 2010 | CVPR | Capturing appearance variation in active appearance models. | Laurens van der Maaten, Emile A. Hendriks |
| 2010 | ICML | Deep Supervised t-Distributed Embedding. | Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang |