9 Cool Deep Learning Applications | Two Minute Papers #35

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Machine learning provides us an incredible set of tools. If you have a difficult problem at hand, you don't need to hand craft an algorithm for it. It finds out by itself what is important about the problem and tries to solve it on its own. In this video, you'll see a number of incredible applications of different machine learning techniques (neural networks, deep learning, convolutional neural networks and more).

Note: the fluid simulation paper is using regression forests, which is a machine learning technique, but not strictly deep learning. There are variants of it that are though (e.g., Deep Neural Decision Forests).
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The paper "Toxicity Prediction using Deep Learning" and "Prediction of human population responses to toxic compounds by a collaborative competition" are available here:
http://arxiv.org/pdf/1503.01445.pdf
http://www.nature.com/nbt/journal/v33/n9/full/nbt.3299.html

The paper "A Comparison of Algorithms and Humans For Mitosis Detection" is available here:
http://people.idsia.ch/~juergen/deeplearningwinsMICCAIgrandchallenge.html
http://people.idsia.ch/~ciresan/data/isbi2014.pdf

Kaggle-related things:
http://kaggle.com
https://www.kaggle.com/c/dato-native
http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/

The paper "Deep AutoRegressive Networks" is available here:
http://arxiv.org/pdf/1310.8499v2.pdf
https://www.youtube.com/watch?v=-yX1SYeDHbg&feature=youtu.be&t=2976

The furniture completion paper, "Data-driven Structural Priors for Shape Completion" is available here:
http://cs.stanford.edu/~mhsung/projects/structure-completion

Data-driven fluid simulations using regression forests:
https://graphics.ethz.ch/~sobarbar/papers/Lad15/DatadrivenFluids.mov
https://www.inf.ethz.ch/personal/ladickyl/fluid_sigasia15.pdf

Selfies and convolutional neural networks:
http://karpathy.github.io/2015/10/25/selfie/

Multiagent Cooperation and Competition with Deep Reinforcement Learning:
http://arxiv.org/abs/1511.08779
https://www.youtube.com/watch?v=Gb9DprIgdGw&index=2&list=PLfLv_F3r0TwyaZPe50OOUx8tRf0HwdR_u
https://github.com/NeuroCSUT/DeepMind-Atari-Deep-Q-Learner-2Player

Kaggle automatic essay scoring contest:
https://www.kaggle.com/c/asap-aes
http://www.vikparuchuri.com/blog/on-the-automated-scoring-of-essays/

Great talks on Kaggle:
https://www.youtube.com/watch?v=9Zag7uhjdYo
https://www.youtube.com/watch?v=OKOlO9nIHUE
https://www.youtube.com/watch?v=R9QxucPzicQ

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Tags:
two minute papers
toxicity prediction
mitosis detection
automatic essay scoring
deep learning
machine learning
deep q learning
deep q-learning
deepmind
google deepmind
data driven fluids
Data-driven Structural Priors for Shape Completion
Data-driven fluid simulations using regression forests
Toxicity Prediction using Deep Learning
neural network
convolutional neural network
recurrent neural network
deep learning applications