Nuit Blanche in Review (March 2016)

 

Since the last Nuit Blanche in Review (February 2016) I somehow wrote the  4000th post on Nuit Blanche  and we presented our paper at ICASSP (ICASSP poster: Random Projections through multiple optical scattering: Approximating kernels at the speed of light). On Nuit Blanche, we also had three implementation, some CS hardware, a few in-depth papers with an emphasis on streaming/hashing but also CS phase retrieval and more. Enjoy !

Implementation

• ACDC: A Structured Efficient Linear Layer - implementation -
• Object Learning and Convex Cardinal Shape Composition - implementation 
• -Practical Riemannian Neural Networks - implementation -

Hardware

• Miniature Compressive Ultra-spectral Imaging System Utilizing a Single Liquid Crystal Phase Retarder
• Single-pixel 3D imaging with time-based depth resolution / On-chip spiral spectrometer
• CS Hardware: The InView223, A Controllable Spatial Light Modulator System
• ACDC: A Structured Efficient Linear Layer - implementation -

In-depth

CS and Phase retrieval 

• Compressive sensing in medical imaging
• There something about being positive: Robust Nonnegative Sparse Recovery and the Nullspace Property of 0/1 Measurements
• Overcoming The Limitations of Phase Transition by Higher Order Analysis of Regularization Techniques
• Near-Optimal Sample Complexity Bounds for Circulant Binary Embedding
• ICASSP: Intensity-only optical compressive imaging using a multiply scattering material and a double phase retrieval approach
• Provable Non-convex Phase Retrieval with Outliers: Median Truncated Wirtinger Flow

ML/Streaming/Hashing

• Streaming Algorithms for News and Scientific Literature Recommendation: Submodular Maximization with a d-Knapsack Constraint
• New Algorithms for Heavy Hitters in Data Streams
• An Optimal Algorithm for l1-Heavy Hitters in Insertion Streams and Related Problems / BPTree: an $\ell_2$ heavy hitters algorithm using constant memory / Approximate Hamming distance in a stream
• Exact Weighted Minwise Hashing in Constant Time
• Searching for Topological Symmetry in Data Haystack XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks
• Deep Fully-Connected Networks for Video Compressive Sensing
• Scalable and Sustainable Deep Learning via Randomized Hashing
• Fast Cross-Polytope Locality-Sensitive Hashing
• Saturday Morning Video: Tutorial on Practical Methods for BigData, Hashing Algorithms for Large-Scale Search and Learning / 0-Bit Consistent Weighted Sampling, Ping Li
• A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition 

Meetings

• Deep Learning Summer School, Montreal, August 2016 and Paper submission to iTWIST
• CfP: ITWIST’16 – international Traveling Workshop on Interactions between Sparse models and Technology” (iTWIST)

Paris Machine Learning meetup

• Ce Soir Paris Machine Learning Meetup #10 Season 3, M&A, Speech Recognition, Telecoms, Mariana DL & HR
• Paris Machine Learning Newsletter, March 2016 [In French]

Saturday Morning Videos

• Saturday Morning Video: Google DeepMind Challenge Match: Lee Sedol vs AlphaGo
• Saturday Morning Video: Tutorial on Practical Methods for BigData, Hashing Algorithms for Large-Scale Search and Learning / 0-Bit Consistent Weighted Sampling, Ping Li
• Saturday Morning Video: The Code That Runs Our Lives , Geoff Hinton

 Hamming's time

• It's Friday afternoon, it's Hamming's time: Antipodal Comet Deposits

Other

• Je maintiendrai

 

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