Nuit Blanche in Review (August 2017)

NASA’s Lunar Reconnaissance Orbiter shows the shadow of the Moon cast on the United States during the Aug. 21, 2017, total solar eclipse.

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

• Thesis: Towards Scalable Gradient-Based Hyperparameter Optimizitation in Deep Neural Networks by Jie Fu

Survey

• A Brief Survey of Deep Reinforcement Learning

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:

• The Sun Eclipse of 2017

Join the CompressiveSensing subreddit or the Google+ Community or the Facebook page and post there !
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.