Some notes from attending the NIPS 2015 workshops:

  1. Jacob Andreas, Dan Klein, Alignment-Based Compositional Semantics for Instruction Following

  2. Jürgen Schmidhuber, On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models

  3. Martin Arjovsky, Amar Shah, Yoshua Bengio, Unitary Evolution Recurrent Neural Networks

  4. Risi Kondor, parallel Multiresolution Matrix Factorization

  5. Tian Wang, Kyunghyun Cho, Larger-Context Language Modelling

  6. Armand Joulin, Tomas Mikolov, Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets