Van Der Maaten, Laurens

36 publications

ICLR 2025 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

TMLR 2024 Guarantees of Confidentiality via Hammersley-Chapman-Robbins Bounds Kamalika Chaudhuri, Chuan Guo, Laurens van der Maaten, Saeed Mahloujifar, Mark Tygert

NeurIPS 2023 GeoDE: A Geographically Diverse Evaluation Dataset for Object Recognition Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao, Aaron Adcock, Laurens van der Maaten, Deepti Ghadiyaram, Olga Russakovsky

AISTATS 2022 Data Appraisal Without Data Sharing Xinlei Xu, Awni Hannun, Laurens Van Der Maaten

NeurIPSW 2022 Bias Amplification in Image Classification Melissa Hall, Laurens van der Maaten, Laura Gustafson, Maxwell Jones, Aaron Bryan Adcock

IJCAI 2022 Measuring Data Leakage in Machine-Learning Models with Fisher Information (Extended Abstract) Awni Y. Hannun, Chuan Guo, Laurens van der Maaten

CVPR 2022 Omnivore: A Single Model for Many Visual Modalities Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra

CVPR 2022 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 Girshick, Piotr Dollár, Laurens van der Maaten

NeurIPS 2021 CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten

NeurIPS 2021 Fixes That Fail: Self-Defeating Improvements in Machine-Learning Systems Ruihan Wu, Chuan Guo, Awni Hannun, Laurens van der Maaten

ICML 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens Van Der Maaten, Kilian Weinberger

ICML 2020 Certified Data Removal from Machine Learning Models Chuan Guo, Tom Goldstein, Awni Hannun, Laurens Van Der Maaten

CVPRW 2019 Does Object Recognition Work for Everyone? Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten

ICCVW 2019 Evaluating Text-to-Image Matching Using Binary Image Selection (BISON) Hexiang Hu, Ishan Misra, Laurens van der Maaten

NeurIPS 2019 PHYRE: A New Benchmark for Physical Reasoning Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross Girshick

ICLR 2018 Countering Adversarial Images Using Input Transformations Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

ECCV 2018 Exploring the Limits of Weakly Supervised Pretraining Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

ICLR 2018 Multi-Scale Dense Networks for Resource Efficient Image Classification Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Weinberger

CVPR 2017 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 Girshick

CVPR 2017 Densely Connected Convolutional Networks Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

ICCV 2017 Inferring and Executing Programs for Visual Reasoning Justin Johnson, Bharath Hariharan, Laurens van der Maaten, Judy Hoffman, Li Fei-Fei, C. Lawrence Zitnick, Ross Girshick

ICCV 2017 Learning Visual N-Grams from Web Data Ang Li, Allan Jabri, Armand Joulin, Laurens van der Maaten

ECCV 2016 Learning Visual Features from Large Weakly Supervised Data Armand Joulin, Laurens van der Maaten, Allan Jabri, Nicolas Vasilache

ECCV 2016 Revisiting Visual Question Answering Baselines Allan Jabri, Armand Joulin, Laurens van der Maaten

JMLR 2014 Accelerating T-SNE Using Tree-Based Algorithms Laurens van der Maaten

CVPRW 2014 On Fast Trackers That Are Robust to Partial Occlusions Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten

CVPR 2014 Speeding up Tracking by Ignoring Features Lu Zhang, Hamdi Dibeklioglu, Laurens van der Maaten

ICLR 2013 Barnes-Hut-SNE Laurens van der Maaten

MLOSS 2013 Divvy: Fast and Intuitive Exploratory Data Analysis Joshua M. Lewis, Virginia R. de Sa, Laurens van der Maaten

CVPR 2013 Structure Preserving Object Tracking Lu Zhang, Laurens van der Maaten

MLJ 2012 Visualizing Non-Metric Similarities in Multiple Maps Laurens van der Maaten, Geoffrey E. Hinton

ICML 2011 Learning Discriminative Fisher Kernels Laurens van der Maaten

CVPRW 2010 Capturing Appearance Variation in Active Appearance Models Laurens van der Maaten, Emile A. Hendriks

ICML 2010 Deep Supervised T-Distributed Embedding Martin Renqiang Min, Laurens van der Maaten, Zineng Yuan, Anthony J. Bonner, Zhaolei Zhang

AISTATS 2009 Learning a Parametric Embedding by Preserving Local Structure Laurens van der Maaten

JMLR 2008 Visualizing Data Using T-SNE Laurens van der Maaten, Geoffrey Hinton