Paper Discussion: The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks
Tarek Beutler – https://arxiv.org/abs/1803.03635
Tarek Beutler – https://arxiv.org/abs/1803.03635
Leon Sixt – https://arxiv.org/abs/1912.09818
Chiara Lakomski – http://papers.nips.cc/paper/7632-deepproblog-neural-probabilistic-logic-programming.pdf
Maximilian Granz – https://arxiv.org/abs/1910.04098
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
Leon Sixt – https://openreview.net/forum?id=B1xwcyHFDr
Chiara Lakomski – https://arxiv.org/abs/1706.07068
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
Julian Stastny
Leon Sixt – https://arxiv.org/pdf/1711.00937.pdf and https://arxiv.org/pdf/1906.00446.pdf