We regularly meet to learn about and discuss recent machine learning papers. These will be presented by a volunteer or we just meet and read the paper together.
If you are interested in machine learning too, feel free to drop by and join the discussion.
Where: Arnimallee 7, SR031
When: Thursdays, 2 pm s.t.
Latest posts in Journal Club
- Paper Presentation: PixelCNN(++) / PixelRNN (6/21/2017) Posted in: Journal Club - PixelCNN(++) / PixelRNN, Leon Sixt, 22.06.2017 Pixel Recurrent Neural Networks Conditional Image Generation with PixelCNN Decoders PixelCNN++: Improving the PixelCNN Read More
- Paper Discussion: Optimization as a Model for Few-Shot Learning (6/21/2017) Posted in: Journal Club - Optimization as a Model for Few-Shot Learning, 15.6.2017
- Paper Presentation: Learning recurrent representations for hierarchical behavior modeling (6/8/2017) Posted in: Journal Club - Learning recurrent representations for hierarchical behavior modeling - Hauke Mönck, 08.06.2017
- Paper Discussion: Statistical Modeling: The Two Cultures (6/1/2017) Posted in: Journal Club - Statistical Modeling: The Two Cultures, 1.6.2017
- Paper Discussion: Latent Dirichlet Allocation (5/18/2017) Posted in: Journal Club - Latent Dirichlet Allocation, 18.5.2017
- Paper Discussion: Learning to Act by Predicting the Future (5/11/2017) Posted in: Journal Club - Learning to Act by Predicting the Future, 11.5.2017
- Paper Presentation: Spectral CNN (5/4/2017) Posted in: Journal Club - Spectral CNN - Roman Schulte-Sasse, 4.5.2017
- Paper presentation: Adversarially Learned Inference (3/16/2017) Posted in: Journal Club - Adversarially Learned Inference - Benjamin Wild, 16.3.2017
- Paper Presentation: Variational Autoencoder (3/9/2017) Posted in: Journal Club - Variational Autoencoder - Benjamin Wild, 9.3.2017
- Paper Presentation: Wasserstein GAN (3/2/2017) Posted in: Journal Club - Wasserstein GAN - Leon, 2.3.2017