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Measuring Data Leakage in Machine-Learning Models with Fisher Information


Feb 23, 2021
Awni Hannun, Chuan Guo, Laurens van der Maaten


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Making Paper Reviewing Robust to Bid Manipulation Attacks


Feb 22, 2021
Ruihan Wu, Chuan Guo, Felix Wu, Rahul Kidambi, Laurens van der Maaten, Kilian Q. Weinberger


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Physical Reasoning Using Dynamics-Aware Models


Feb 20, 2021
Eltayeb Ahmed, Anton Bakhtin, Laurens van der Maaten, Rohit Girdhar


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Data Appraisal Without Data Sharing


Dec 11, 2020
Mimee Xu, Laurens van der Maaten, Awni Hannun

* Presented at NeurIPS Workshop for Privacy-Preserving Machine Learning Workshop (PPML 2020) 

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The Trade-Offs of Private Prediction


Jul 09, 2020
Laurens van der Maaten, Awni Hannun


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Forward Prediction for Physical Reasoning


Jun 18, 2020
Rohit Girdhar, Laura Gustafson, Aaron Adcock, Laurens van der Maaten


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Secure multiparty computations in floating-point arithmetic


Jan 09, 2020
Chuan Guo, Awni Hannun, Brian Knott, Laurens van der Maaten, Mark Tygert, Ruiyu Zhu

* 31 pages, 13 figures, 6 tables 

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Convolutional Networks with Dense Connectivity


Jan 08, 2020
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger

* Journal(PAMI) version of DenseNet(CVPR'17) 

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Measuring Dataset Granularity


Dec 21, 2019
Yin Cui, Zeqi Gu, Dhruv Mahajan, Laurens van der Maaten, Serge Belongie, Ser-Nam Lim

* Code is available at: https://github.com/richardaecn/dataset-granularity 

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Self-Supervised Learning of Pretext-Invariant Representations


Dec 04, 2019
Ishan Misra, Laurens van der Maaten


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SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning


Nov 16, 2019
Yan Wang, Wei-Lun Chao, Kilian Q. Weinberger, Laurens van der Maaten


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Certified Data Removal from Machine Learning Models


Nov 11, 2019
Chuan Guo, Tom Goldstein, Awni Hannun, Laurens van der Maaten

* Submitted to AISTATS 2020 

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Privacy-Preserving Contextual Bandits


Oct 14, 2019
Awni Hannun, Brian Knott, Shubho Sengupta, Laurens van der Maaten


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PHYRE: A New Benchmark for Physical Reasoning


Aug 15, 2019
Anton Bakhtin, Laurens van der Maaten, Justin Johnson, Laura Gustafson, Ross Girshick


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Does Object Recognition Work for Everyone?


Jun 18, 2019
Terrance DeVries, Ishan Misra, Changhan Wang, Laurens van der Maaten


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Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search


Mar 05, 2019
Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan

* CVPR 2019 Oral presentation; camera-ready with supplement (14 pages) 

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Binary Image Selection (BISON): Interpretable Evaluation of Visual Grounding


Jan 19, 2019
Hexiang Hu, Ishan Misra, Laurens van der Maaten


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Feature Denoising for Improving Adversarial Robustness


Dec 09, 2018
Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He

* tech report 

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Anytime Stereo Image Depth Estimation on Mobile Devices


Oct 26, 2018
Yan Wang, Zihang Lai, Gao Huang, Brian H. Wang, Laurens van der Maaten, Mark Campbell, Kilian Q. Weinberger

* Submmited of ICRA2019 

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CondenseNet: An Efficient DenseNet using Learned Group Convolutions


Jun 07, 2018
Gao Huang, Shichen Liu, Laurens van der Maaten, Kilian Q. Weinberger


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Multi-Scale Dense Networks for Resource Efficient Image Classification


Jun 07, 2018
Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Q. Weinberger


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Exploring the Limits of Weakly Supervised Pretraining


May 02, 2018
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

* Technical report 

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Densely Connected Convolutional Networks


Jan 28, 2018
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger

* CVPR 2017 

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Countering Adversarial Images using Input Transformations


Jan 25, 2018
Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten

* 12 pages, 6 figures, submitted to ICLR 2018 

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Learning by Asking Questions


Dec 04, 2017
Ishan Misra, Ross Girshick, Rob Fergus, Martial Hebert, Abhinav Gupta, Laurens van der Maaten


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3D Semantic Segmentation with Submanifold Sparse Convolutional Networks


Nov 28, 2017
Benjamin Graham, Martin Engelcke, Laurens van der Maaten

* arXiv admin note: text overlap with arXiv:1706.01307 

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Separating Self-Expression and Visual Content in Hashtag Supervision


Nov 27, 2017
Andreas Veit, Maximilian Nickel, Serge Belongie, Laurens van der Maaten


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