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SSSE: Efficiently Erasing Samples from Trained Machine Learning Models


Jul 08, 2021
Alexandra Peste, Dan Alistarh, Christoph H. Lampert


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FLEA: Provably Fair Multisource Learning from Unreliable Training Data


Jun 22, 2021
Eugenia Iofinova, Nikola Konstantinov, Christoph H. Lampert


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Unsupervised Video Prediction from a Single Frame by Estimating 3D Dynamic Scene Structure


Jun 16, 2021
Paul Henderson, Christoph H. Lampert, Bernd Bickel


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Towards Understanding Knowledge Distillation


May 27, 2021
Mary Phuong, Christoph H. Lampert

* ICML'19. Post-edited to add related work. arXiv admin note: text overlap with arXiv:2003.13438 by other authors 

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Fairness-Aware Learning from Corrupted Data


Feb 11, 2021
Nikola Konstantinov, Christoph H. Lampert

* 32 pages 

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Fairness Through Regularization for Learning to Rank


Feb 11, 2021
Nikola Konstantinov, Christoph H. Lampert

* 25 pages, 27 figures 

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A Flexible Selection Scheme for Minimum-Effort Transfer Learning


Aug 27, 2020
Amelie Royer, Christoph H. Lampert

* WACV 2020 

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Unsupervised object-centric video generation and decomposition in 3D


Jul 07, 2020
Paul Henderson, Christoph H. Lampert

* Project page: http://pmh47.net/o3v/ 

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Localizing Grouped Instances for Efficient Detection in Low-Resource Scenarios


Apr 27, 2020
Amelie Royer, Christoph H. Lampert

* WACV 2020 

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Leveraging 2D Data to Learn Textured 3D Mesh Generation


Apr 08, 2020
Paul Henderson, Vagia Tsiminaki, Christoph H. Lampert

* CVPR 2020 (oral) 

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Object-Centric Image Generation with Factored Depths, Locations, and Appearances


Apr 01, 2020
Titas Anciukevicius, Christoph H. Lampert, Paul Henderson


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On the Sample Complexity of Adversarial Multi-Source PAC Learning


Feb 24, 2020
Nikola Konstantinov, Elias Frantar, Dan Alistarh, Christoph H. Lampert


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Back to square one: probabilistic trajectory forecasting without bells and whistles


Dec 07, 2018
Ehsan Pajouheshgar, Christoph H. Lampert

* 4 pages, 3 figures, Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 32nd Conference on Neural Information Processing Systems (NIPS 2018), Montreal, Canada 

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Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly


Aug 09, 2018
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata

* To appear in TPAMI (accepted in July, 2018). arXiv admin note: substantial text overlap with arXiv:1703.04394 

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Detecting Visual Relationships Using Box Attention


Jul 05, 2018
Alexander Kolesnikov, Christoph H. Lampert, Vittorio Ferrari


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Learning Equations for Extrapolation and Control


Jun 19, 2018
Subham S. Sahoo, Christoph H. Lampert, Georg Martius

* 9 pages, 9 figures, ICML 2018 

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KS(conf ): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications


Apr 11, 2018
Rémy Sun, Christoph H. Lampert


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Data-Dependent Stability of Stochastic Gradient Descent


Feb 15, 2018
Ilja Kuzborskij, Christoph H. Lampert


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PixelCNN Models with Auxiliary Variables for Natural Image Modeling


Jul 01, 2017
Alexander Kolesnikov, Christoph H. Lampert

* ICML 2017 

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Multi-Task Learning with Labeled and Unlabeled Tasks


Jun 08, 2017
Anastasia Pentina, Christoph H. Lampert


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Probabilistic Image Colorization


May 11, 2017
Amelie Royer, Alexander Kolesnikov, Christoph H. Lampert


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iCaRL: Incremental Classifier and Representation Learning


Apr 14, 2017
Sylvestre-Alvise Rebuffi, Alexander Kolesnikov, Georg Sperl, Christoph H. Lampert

* Accepted paper at CVPR 2017 

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Extrapolation and learning equations


Oct 10, 2016
Georg Martius, Christoph H. Lampert

* 13 pages, 8 figures, 4 tables 

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Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation


Aug 06, 2016
Alexander Kolesnikov, Christoph H. Lampert

* ECCV 2016 

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Improving Weakly-Supervised Object Localization By Micro-Annotation


May 18, 2016
Alexander Kolesnikov, Christoph H. Lampert


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Conditional Risk Minimization for Stochastic Processes


Mar 13, 2016
Alexander Zimin, Christoph H. Lampert


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Identifying Reliable Annotations for Large Scale Image Segmentation


Apr 28, 2015
Alexander Kolesnikov, Christoph H. Lampert


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Curriculum Learning of Multiple Tasks


Dec 03, 2014
Anastasia Pentina, Viktoriia Sharmanska, Christoph H. Lampert


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Predicting the Future Behavior of a Time-Varying Probability Distribution


Nov 20, 2014
Christoph H. Lampert


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A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs with a Costly max-Oracle


Nov 18, 2014
Neel Shah, Vladimir Kolmogorov, Christoph H. Lampert


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