Machine Learning Paper Discussion Group In the Paper Discussion Group (PDG) we discuss on a weekly base recent and fundamental papers in the area of machine learning. For several weeks, we follow one track to dive a bit deeper into a topic by reading matc... Read More | Share it now!

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Attention, we start now one hour earlier, at 18:00 o’clock! In the Paper Discussion Group (PDG) we discuss on a weekly base recent and fundamental papers in the area of machine learning. For several weeks, we follow one track to dive a bit deeper in... Read More | Share it now!

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136. PDG:  Simple Statistical Gradient-Following Algorithms

In the Paper Discussion Group (PDG) we discuss on a weekly base recent and fundamental papers in the area of machine learning. For several weeks, we follow one track to dive a bit deeper into a topic by reading matching or correlate papers. If you are int... Read More | Share it now!

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Track: AutoML Thema: DARTS: Differentiable Architecture Search Paper: https://arxiv.org/abs/1806.09055 Letzts Paper des AutoML-Tracks. Nächsts mal voten wir für einen neuen Track, ausgearbeitete Vorschläge sind willkommen. Wir treffen uns im Informatik-G... Read More | Share it now!

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!! Erst um 19 Uhr, da wir vorher keinen Raum haben !! Track: AutoML Thema: Auto-Meta: Automated Gradient Based Meta Learner Search Paper: https://arxiv.org/abs/1806.06927 Weiter Paper des Tracks (4 Paper) könnten sein: – DARTS: Differentiable Archit... Read More | Share it now!

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!! Erst um 19 Uhr, da wir vorher keinen Raum haben !! Track: AutoML Thema: Progressive Neural Architecture Search Paper: https://arxiv.org/abs/1712.00559 Weiter Paper des Tracks (4 Paper) könnten sein: – Auto-Meta: Automated Gradient Based Meta Lear... Read More | Share it now!

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!! Erst um 19 Uhr, da wir vorher keinen Raum haben !! Track: AutoML Thema: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Paper: https://arxiv.org/abs/1703.03400 Weiter Paper des Tracks (4 Paper) könnten sein: – Progressive neural... Read More | Share it now!

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!! Erst um 19 Uhr, da wir vorher keinen Raum haben !! Track: NeurIPS 2019 TOP 4 Thema: Neural Ordinary Differential Equations Paper: https://arxiv.org/abs/1806.07366 Wir treffen uns im Informatik-Gebäude des KIT (50.34), Raum -120. Meetup: https://www.mee... Read More | Share it now!

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Jeder der sich für ML-KA interessiert oder sich engagieren möchte ist herzlich eingeladen! Agenda: 1. Aktivitäten 2018 – eine Zusammenfassung 2. Kassenbericht 3. Geplante Aktivitäten 2019 4. Entlastung des aktuellen Vorstands 5. Wahl eines neuen Vo... Read More | Share it now!

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!! Erst um 19 Uhr, da wir vorher keinen Raum haben !! Track: Alternative Loss Functions Talk: Wasserstein Distance as a Loss Function Abstract: I’ll discuss the role of loss functions within deep learning using the Cross Entropy Loss to provide the ... Read More | Share it now!

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