Nuit Blanche in Review (June 2019)

** Nuit Blanche is now on Twitter: @NuitBlog **

Credit: JAXA / JMA / Seán Doran, 

Planet Earth Music by Schubert/Budapest Strings, Seán Doran, 

Much has happened since the last Nuit Blanche in Review (May 2019). In particular, we featured a number of architecture search implementation approaches and had our last general Paris Machine Learning meeting of season 6 as well as several in-depth videos. Enjoy !

Implementations:

• Improving Neural Architecture Search Image Classifiers via Ensemble Learning 
• NAS-Bench-101: Towards Reproducible Neural Architecture Search 
• Meta-learning of textual representations 
• An Open Source AutoML Benchmark 
• Probabilistic Rollouts for Learning Curve Extrapolation Across Hyperparameter Settings 
• Improving Automated Variational Inference with Normalizing Flows 
• Efficient Forward Architecture Search 
• Bayesian Optimization over Sets
• Graduated Optimisation of Black-Box Functions
• Accelerating the Nelder - Mead Method with Predictive Parallel Evaluation
• Toward Instance-aware Neural Architecture Search
• A simple dynamic bandit algorithm for hyper-parameter tuning
• Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks 
• Random Search and Reproducibility for Neural Architecture Search
• Deep Learning based compressive sensing - Highly Technical Reference Page/Aggregator, implementation -
• Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching 

In-depth:

• One-Shot Neural Architecture Search via Compressive Sensing
• Degrees of Freedom Analysis of Unrolled Neural Networks
• Distributed Learning with Random Features
• Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms
• Random Projections for Quadratic Programs over a Euclidean Ball
• The low-rank eigenvalue problem

Videos:

• Saturday Morning Videos: AutoML Workshop at ICML 2019
• Saturday Morning Videos: L4DC: Learning for Dynamics and Control, May 30 & 31, 2019, MIT
• Fast.ai courses: Part 2: Deep Learning from the Foundations
• Ce soir: Paris Machine Learning Meetup, Season 6 Finale. Data4Good, Hybridation, Sequence Predictions, Unreliable Data

Meetings:

• CfP: The 2019 Conference on Mathematical Theory of Deep Neural Networks (DeepMath 2019) Princeton Club, New York City, Oct 31-Nov 1 2019.

Follow @NuitBlog or join the CompressiveSensing Reddit, the Facebook page, the Compressive Sensing group on LinkedIn  or the Advanced Matrix Factorization group on LinkedIn

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