- Deep Subspace Clustering Network, http://arxiv.org/abs/1709.02508v1
- Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization, http://arxiv.org/abs/1707.06468v2
- Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models, http://arxiv.org/abs/1606.06841v4
- Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning, http://arxiv.org/abs/1704.02882v2
- Parametric Simplex Method for Sparse Learning, http://arxiv.org/abs/1704.01079v1
- Group Sparse Additive Machine, http://arxiv.org/abs/1206.4673v1
- The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings, http://arxiv.org/abs/1703.00864v2
- Inferring Generative Model Structure with Static Analysis, http://arxiv.org/abs/1709.02477v1
- On Structured Prediction Theory with Calibrated Convex Surrogate Losses, http://arxiv.org/abs/1703.02403v2
- Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
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\usepackage{amsmath,amsfonts,amssymb,bm,mathtools} | |
%\usepackage[usenames,dvipsnames]{xcolor} | |
\newcommand{\vect}[1]{\mathbf{#1}} % Vector | |
\newcommand{\mat}[1]{\mathbf{#1}} % Matrix | |
\newcommand{\vx}{\vect{x}} | |
\newcommand{\vw}{\vect{w}} | |
\newcommand{\vv}{\vect{v}} | |
\newcommand{\vy}{\vect{y}} |
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To use: | |
1. Download both new_tab.html and manifest.json to a single new directory. | |
2. Go to chrome://extensions/. | |
3. Enable "Developer mode" in the top right. | |
4. Click “Load unpacked extension…” and select the directory from step 1. | |
5. Click Ctrl/Cmd+T and enjoy. |
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// Use Gists to store code you would like to remember later on | |
console.log(window); // log the "window" object to the console |