RNN Symposium 2016: Jason Weston - New Tasks & Architectures for Language Understanding and Dialogue
RNN Symposium 2016: Jürgen Schmidhuber - Intro to RNNs and Other Machines that Learn Algorithms
RNN Symposium 2016: Alex Graves - Differentiable Neural Computer
RNN Symposium 2016: Risto Miikkulainen - Scaling up Deep Learning through Neuroevolution
RNN Symposium 2016: Li Deng - Three cool topics on RNN
DeepHack.Turing: Jason Weston - ParlAI
RNN Symposium: Nando de Freitas - Learning to Learn, to Program, to Explore and to Seek Knowledge
RNN Symposium 2016: Nal Kalchbrenner - Generative Modelling as Sequence Learning
RNN Symposium 2016: Paul Werbos - Deep Learning in RNNs: From Basics To New Data on the Brain
Which one is more important: more parameters or more computation? - Jason Weston
Oral Session: End-To-End Memory Networks
Recurrent Neural Networks for Dialog State Tracking
Tracking State in Spoken Dialogue.
Building a Machine that Can Learn to Understand, Reason and Learn
Dynamic Memory Networks for Visual and Textual Question Answering - Stephen Merity (MetaMind)
ai.bythebay.io: Stephen Merity, Attention and Memory in Deep Learning Networks
BCRF 2016 NY Symposium Discussion
Ozan Irsoy
Reasoning Attention and Memory Sumit Chopra
