Credits: NASA/GSFC/Arizona State University

Many things have happened in the last month since the last Nuit Blanche in Review (July 2017) including an Eclipse and Harvey. We also have had several implementations made available by their respective authors, a thesis, a sruvey, more in-depth articles, some interesting videos, some job openings... Enjoy !

Implementations

- SMASH: One-Shot Model Architecture Search through HyperNetworks - implementation -
- 30 new Numerical Tours in Julia - implementation -
- Solving ill-posed inverse problems using iterative deep neural networks / Jobs: 2 Postdocs @ KTH, Sweden - implementation -
- SPORCO: A Python package for standard and convolutional sparse representations - implementation
- Convexified Convolutional Neural Networks - implementation -
- Meta Networks - implementation -

Thesis

Survey

In-depth

- ProjectionNet: Learning Efficient On-Device Deep Networks Using Neural Projections
- Natural Language Processing with Small Feed-Forward Networks
- On the Expressive Power of Deep Neural Networks
- A Closer Look at Memorization in Deep Networks
- Towards a Deeper Understanding of Training Quantized Neural Networks / BitNet: Bit-Regularized Deep Neural Networks / Deep Binary Reconstruction for Cross-modal Hashing
- Learning Transferable Architectures for Scalable Image Recognition / The Cost of Everything and the Value of Nothing
- Randomization or Condensation?: Linear-Cost Matrix Sketching Via Cascaded Compression Sampling / A Bootstrap Method for Error Estimation in Randomized Matrix Multiplication / Effective sketching methods for value function approximation
- Sketched Subspace Clustering
- When is Network Lasso Accurate?, The Network Nullspace Property for Compressed Sensing of Big Data over Networks, Semi-Supervised Learning via Sparse Label Propagation
- Randomized apertures: high resolution imaging in far field

Conferences:

- Papers: ICML2017 workshop on Implicit Models
- CfP: 17th Conference on Artificial and Computational Intelligence and its Applications to the Environmental Sciences, American Meteorological Society

Videos:

- Saturday Morning Videos: Bridging Continuous and Discrete Optimization Boot Camp, Simons Institute at Berkeley, August 21-25, 2017
- Sunday Morning Videos: Andrew Ng's "Heroes of Deep Learning"
- Saturday Morning Videos: Convolutional Neural Networks for Visual Recognition (Spring 2017 Stanford CS 231n)

Job:

- Job: Smart Grid Data Scientist, Neuchâtel, Switzerland
- Solving ill-posed inverse problems using iterative deep neural networks / Jobs: 2 Postdocs @ KTH, Sweden - implementation -

Other:

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