Saturday Morning Videos: ICLR Videos and Papers

The folks at ICLR 2014 are releasing videos of the meeting. The whole channel of the meeting is here. Here is a sampling of interest with attendant reviews and papers:

  ICLR 2014 Talk: "Revisiting Natural Gradient for Deep Networks" by Razvan Pascanu and Yoshua Bengio. Attendant review of the paper.      ICLR 2014 Talk: "Exact solutions to the nonlinear dynamics of learning in deep linear neural networks" by Andrew M. Saxe, James L. McClelland, Surya Ganguli Attendant review of the paper       ICLR 2014 Talk:  Zero-Shot Learning by Convex Combination of Semantic Embeddings, Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg S. Corrado,  Jeffrey Dean.      ICLR 2014 Workshop Talk: "Unsupervised Feature Learning by Deep Sparse Coding" Yunlong He, Koray Kavukcuoglu, Yun Wang, Arthur Szlam, Yanjun Qi.     Relaxations for inference in restricted Boltzmann machines, Sida I. Wang, Roy Frostig, Percy Liang, Christopher D. Manning      ICLR 2014 Talk: "Group-sparse Embeddings in Collective Matrix Factorization" by Arto Klami, Guillaume Bouchard, Abhishek Tripathi Review of the paper    ICLR 2014 Talk: "Auto-Encoding Variational Bayes" by Diederik P. Kingma, Max Welling. Review of the paper    ICLR 2014 Talk: OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks by Pierre Sermanet, David Eigen, Xiang Zhang, Michael Mathieu, Rob Fergus, Yann LeCun Review of the paper.    ICLR 2014 Talk: "Learning Transformations for Classification Forests" by Qiang Qiu, Guillermo Sapiro Review of the paper.       ICLR 2014 Talk: "Sparse similarity-preserving hashing, Jonathan Masci, Alex M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro Review of the paper.   ICLR 2014 Talk: "" by Ian J. Goodfellow, Yaroslav Bulatov, Julian Ibarz, Sacha Arnoud, Vinay Shet Review of the paper    ICLR 2014 Talk: "Spectral Networks and Locally Connected Networks on Graphs" by Joan Bruna, Wojciech Zaremba, Arthur Szlam, Yann LeCun Review of the paper.


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