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Deep Learning
Generative adversarial network - Wikipedia
Generative Adversarial Nets - 5423-generative-adversarial-nets.pdf
Yoshua Bengio -
Aaron Courville - Google Scholar Citations
Aaron Courville
Apple Machine Learning Journal
Feature learning - Wikipedia
What Is Deep Learning? | How It Works, Techniques & Applications - MATLAB & Simulink
Artificial intelligence - Wikipedia
What is Artificial Intelligence? How Does AI Work? | Built In
artificial intelligence | Definition, Examples, and Applications | Britannica
Pong - Wikipedia
AlphaGo - Wikipedia
AlphaGo | DeepMind
AlphaGo
Symbolic Systems | Stanford University
Easy TensorFlow - 1- Graph and Session
shallow vs deep: the great watershed in learning. - ORF523_S17_Lec17_guest.pdf
Frontiers | A Comparison of Shallow and Deep Learning Methods for Predicting Cognitive Performance of Stroke Patients From MRI Lesion Images | Frontiers in Neuroinformatics
deep-learning.pdf
Support-vector machine - Wikipedia
Residual neural network - Wikipedia
Home Page of Geoffrey Hinton
Deep belief network - Wikipedia
Deep belief networks - Scholarpedia
nipstut3.pdf - nipstut3.pdf
Tutorials List - Javatpoint
Artificial intelligence - Reasoning | Britannica
Cognition - Wikipedia
Cognition - an overview | ScienceDirect Topics
Consciousness - Wikipedia
Artificial Intelligence: Does Consciousness Matter?
Artificial Intelligence
Qualia - Wikipedia
Qualia (Stanford Encyclopedia of Philosophy)
Multimodal learning - Wikipedia
Multimodal data as a means to understand the learning experience - ScienceDirect
1705.09406.pdf
Dealing with Multimodal Data - What Does Good Data look like? | Coursera
Hidden Voice Commands | USENIX
2016_usenix_hiddenvoicecommands.pdf
Peter Norvig
Artificial Intelligence: A Modern Approach
Boltzmann machine - Wikipedia
boltz321.pdf
Backpropagation - Wikipedia
Bayesian optimization - Wikipedia
[1807.02811] A Tutorial on Bayesian Optimization
Gaussian process - Wikipedia
Long short-term memory - Wikipedia
Neural Turing machine - Wikipedia
Neural Turing Machines.pptx - NeuralTuringMachines.pdf
Generative adversarial network - Wikipedia
Adverarial Nets
Nash equilibrium - Wikipedia
The Nash equilibrium: A perspective | PNAS
iess_B3_H-O - NashEquilibrium.pdf
- Vaishnavh Nagarajan
[1902.04742] Uniform convergence may be unable to explain generalization in deep learning
Deep Image Prior
Deep Image Prior - Wikipedia
Conditional Image Generation with PixelCNN Decoders - 6527-conditional-image-generation-with-pixelcnn-decoders.pdf
PixelCNN | Bounded Rationality
CIFAR-10 and CIFAR-100 datasets
Bing Xu's research works | Université de Montréal, Montréal (UdeM) and other places
Bing Xu - Google Scholar Citations
[1506.05751] Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks
[1511.06434] Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
[1606.03498] Improved Techniques for Training GANs
UZH - Brain Research Institute
[1809.11096] Large Scale GAN Training for High Fidelity Natural Image Synthesis
ajbrock/BigGAN-PyTorch: The author's officially unofficial PyTorch BigGAN implementation.
ImageNet
CycleGAN Project Page
Domain adaptation - Wikipedia
1000x Faster Data Augmentation – The Berkeley Artificial Intelligence Research Blog
greenelab/SPRINT_gan: Privacy-preserving generative deep neural networks support clinical data sharing
PATE-GAN: Generating Synthetic Data with Differential Privacy Guarantees | OpenReview
Association for the Advancement of Artificial Intelligence
Nvidia Can Turn Day into Night, Cat into Lion with AI-Generated Images | PCMag
mingyuliutw/UNIT: Unsupervised Image-to-Image Translation
NVIDIA Researchers Showcase Major Advances in Deep Learning at NIPS | NVIDIA Blog
This AI Can Change Weather, Seasons, and Time of Day in Photos
Truepic | Photo and video verification platform
Large-scale CelebFaces Attributes (CelebA) Dataset
Cynthia Dwork | Simons Institute for the Theory of Computing
The Turing Test (Stanford Encyclopedia of Philosophy)
AGI
QR code - Wikipedia
Artificial General Intelligence - Scholarpedia
A Beginner's Guide to Deep Reinforcement Learning | Pathmind
Reinforcement learning - Wikipedia
dbobrenko/ai-learning-environments: List of environments and competitions for RL and AI training
[1910.04404] AI for Explaining Decisions in Multi-Agent Environments
openai/multiagent-particle-envs: Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Neural MMO: A Massively Multiagent Game Environment
The Turing Test (Stanford Encyclopedia of Philosophy)
Turing test | Definition & Facts | Britannica
Artificial Intelligence | The Turing Test
AutoML
Automated machine learning - Wikipedia
Google's AutoML: Cutting Through the Hype · fast.ai
How secure are your AI and machine learning projects? | CSO Online
Secure Machine Learning, a Brief Overview - IEEE Conference Publication
[1905.10291] Privacy Risks of Securing Machine Learning Models against Adversarial Examples
m26- - s8124.pdf
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