Articles 2018

Paper log autumn 2018

November 29: Andreas Robinson presents: "Wasserstein Divergence for GANs", J. Wu et al. ECCV18 [PDF at CVF] [ArXiv version with supplement]
December 6: Felix Järemo Lawin presents: S. Kolouri, G.K. Rohde and H. Hoffmann, "Sliced Wasserstein Distance for Learning Gaussian Mixture Models", CVPR18 [PDF at CVF]
December 13: Gustav Häger presents: D. Silver et al. A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play, Science Dec 2018 [PDF] [supplementary]

January 17: Mikael Persson presents: M. Raghu, J. Gilmer, J, Yosinski, J. Sol-Dickstein, SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability, NIPS17 [PDF]
January 24: Amanda Berg presents: Tero Karras et al., Progressive Growing of GANs for Improved Quality, Stability, and Variation, Submitted [PDF]
January 31: Felix Järemo Lawin presents: D. Silver et al., Mastering the game of Go without human knowledge, Nature 2017 [PDF]
February 14: Abdo presents: Shumeet Baluja, Hiding Images in Plain Sight: Deep Steganography, NIPS'17 [paper]
April 19: Bertil Grelson presents: J. Schönberger et al., Semantic Visual Localization, CVPR18 [PDF] [author homepage] (with e.g. supplementary)
May 31: Felix Järemo Lawin presents: Shuochen Su et al. Deep End-to-End Time-of-Flight Imaging, CVPR 2018 [project page] [PDF]
June 13: Gustav Häger presents: A. Ranjan et al. Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation, ArXiV preprint [PDF] [GIT]

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