Articles 2018
Paper log autumn 2018
- November 29: Andreas Robinson: "Wasserstein Divergence for GANs", J. Wu et al. ECCV18 [PDF at CVF] [ArXiv version with supplement]
- December 6: Felix Järemo Lawin: 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]
Paper log spring 2018
- January 17: Mikael Persson: 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: Tero Karras et al., Progressive Growing of GANs for Improved Quality, Stability, and Variation, Submitted [PDF]
- January 31: Felix Järemo Lawin: D. Silver et al., Mastering the game of Go without human knowledge, Nature 2017 [PDF]
- February 14: Abdo: Shumeet Baluja, Hiding Images in Plain Sight: Deep Steganography, NIPS'17 [paper]
- April 19: Bertil Grelson: J. Schönberger et al., Semantic Visual Localization, CVPR18 [PDF] [author homepage] (with e.g. supplementary)
- May 31: Felix Järemo Lawin: Shuochen Su et al. Deep End-to-End Time-of-Flight Imaging, CVPR 2018 [project page] [PDF]
- June 13 13.00-14: Gustav Häger: 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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Senast uppdaterad: 2020-01-22