Paper Discussion: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Tarek Beutler – https://arxiv.org/abs/1803.03635
Author: Tim Landgraf
Paper Discussion: When Explanations Lie: Why Modified BP Attribution Fails
Leon Sixt – https://arxiv.org/abs/1912.09818
Paper Discussion: DeepProbLog: Neural Probabilistic Logic Programming
Chiara Lakomski – http://papers.nips.cc/paper/7632-deepproblog-neural-probabilistic-logic-programming.pdf
Paper Discoussion: Improving Generalization in Meta Reinforcement Learning Using Learned Objectives
Maximilian Granz – https://arxiv.org/abs/1910.04098
TV report: Tim gives talk on RoboFish and BeeCharge
The TV network “Bayerischer Rundfunk” records short science talks in Berlin’s famous “Roter Salon” and broadcasts them on ARD alpha. Tim told the audience about the RoboFish project (how we can make robot fish “learn” in real-time from interactions with… Continue Reading
Paper Discussion: Learning Robust Representations via Multi-View Information Bottleneck
Leon Sixt – https://openreview.net/forum?id=B1xwcyHFDr
Paper Discussion: Creative GANs
Chiara Lakomski – https://arxiv.org/abs/1706.07068
BeesBook Multiplication
Over the years, we have perfected our bee tracking system “BeesBook” and altough we haven’t really advertised, a few bee (and ant) people have approached us for help setting up BeesBook systems in Germany, Australia, China and the USA. If… Continue Reading
Paper Discussion: Model-Agnostic Meta-Learning & RoboFish Follow-Up
Julian Stastny
Paper Discussion: VQ-VAE
Leon Sixt – https://arxiv.org/pdf/1711.00937.pdf and https://arxiv.org/pdf/1906.00446.pdf