ICYMI: A project that aims to generate images that depict accurate, vivid, and personalized outcomes of climate change using Cycle-Consistent Adversarial Networks (CycleGANs).
https://www.profillic.com/paper/arxiv:1905.03709
https://www.profillic.com/paper/arxiv:1905.03709
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
Differentiable Beam search Decoder (DBD): training a speech recognition system by backpropagating through the decoder leads to smaller models and better word error rates.
Paper from FAIRies Ronan Collobert, Awni Hannun and Gabriel Synnaeve here: https://arxiv.org/abs/1902.06022
Awesome stuff. We were doing a simple version of thise to train our check recognition system in the mid-1990s.
https://ai.facebook.com/blog/combining-acoustic-and-language-model-training-for-speech-recognition/
Paper from FAIRies Ronan Collobert, Awni Hannun and Gabriel Synnaeve here: https://arxiv.org/abs/1902.06022
Awesome stuff. We were doing a simple version of thise to train our check recognition system in the mid-1990s.
https://ai.facebook.com/blog/combining-acoustic-and-language-model-training-for-speech-recognition/
Deep Learning Tools
PDF Version: https://drive.google.com/file/d/1XhngKISDpQgwGlvU-hjXWZb_qfyIYjqN/view
Source: Kdnuggets
PDF Version: https://drive.google.com/file/d/1XhngKISDpQgwGlvU-hjXWZb_qfyIYjqN/view
Source: Kdnuggets
ICML 2019 Tutorial Videos
A Neural Approaches to Conversational UI
https://www.youtube.com/watch?v=nr3P1VrFleo
Algorithm configuration: learning in the space of algorithm designs
https://www.youtube.com/watch?v=bIsRNgg20xo
A Neural Approaches to Conversational UI
https://www.youtube.com/watch?v=nr3P1VrFleo
Algorithm configuration: learning in the space of algorithm designs
https://www.youtube.com/watch?v=bIsRNgg20xo
YouTube
A Neural Approaches to Conversational UI
After everything that has happened this year, I'm glad Schmidhuber still has the fire in him. 🔥 https://arxiv.org/abs/1906.04493
Shapes and Context:
In-the-wild Image Synthesis & Manipulation
https://www.cs.cmu.edu/~aayushb/OpenShapes/
In-the-wild Image Synthesis & Manipulation
https://www.cs.cmu.edu/~aayushb/OpenShapes/
Adaptive Neural Trees (ANTs) - icml2019 paper
combined benefits of decision trees and deep neural networks.
code https://github.com/rtanno21609/AdaptiveNeuralTrees
paper https://proceedings.mlr.press/v97/tanno19a.html
combined benefits of decision trees and deep neural networks.
code https://github.com/rtanno21609/AdaptiveNeuralTrees
paper https://proceedings.mlr.press/v97/tanno19a.html
GitHub
GitHub - rtanno21609/AdaptiveNeuralTrees: Adaptive Neural Trees
Adaptive Neural Trees . Contribute to rtanno21609/AdaptiveNeuralTrees development by creating an account on GitHub.
CVPR 2019
Papers: https://openaccess.thecvf.com/CVPR2019.py
Workshops: https://openaccess.thecvf.com/CVPR2019_workshops/menu.py
Papers: https://openaccess.thecvf.com/CVPR2019.py
Workshops: https://openaccess.thecvf.com/CVPR2019_workshops/menu.py
Good summary article about GANs
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
https://machinelearningmastery.com/resources-for-getting-started-with-generative-adversarial-networks/
MachineLearningMastery.com
Best Resources for Getting Started With GANs - MachineLearningMastery.com
Generative Adversarial Networks, or GANs, are a type of deep learning technique for generative modeling. GANs are the techniques behind the startlingly photorealistic generation of human faces, as well as impressive image translation tasks such as photo colorization…
Nice paper on disentanglement representation(where each dimension of embedding represent one feature)
https://proceedings.mlr.press/v97/mathieu19a.html
https://proceedings.mlr.press/v97/mathieu19a.html
PMLR
Disentangling Disentanglement in Variational Autoencoders
We develop a generalisation of disentanglement in variational autoencoders (VAEs)—decomposition of the latent representation—characterising it as the fulfilm...
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment.
https://github.com/videoflow/videoflow
https://github.com/videoflow/videoflow
GitHub
GitHub - videoflow/videoflow: Python framework that facilitates the quick development of complex video analysis applications and…
Python framework that facilitates the quick development of complex video analysis applications and other series-processing based applications in a multiprocessing environment. - videoflow/videoflow
Generative Adversarial Networks: A Survey and Taxonomy
By @wangvilla @sheqi1991 @tomasward
7 architecture-variant GANs and 9 loss-variant GANs focusing on
(1) High quality image generation
(2) Diverse image generation
(3) Stable training
https://arxiv.org/abs/1906.01529v1
By @wangvilla @sheqi1991 @tomasward
7 architecture-variant GANs and 9 loss-variant GANs focusing on
(1) High quality image generation
(2) Diverse image generation
(3) Stable training
https://arxiv.org/abs/1906.01529v1
arXiv.org
Generative Adversarial Networks: A Survey and Taxonomy
Generative adversarial networks (GANs) have been extensively studied in the
past few years. Arguably the revolutionary techniques are in the area of
computer vision such as plausible image...
past few years. Arguably the revolutionary techniques are in the area of
computer vision such as plausible image...
"Likelihood Ratios for Out-of-Distribution Detection"
Ren et al.: https://arxiv.org/abs/1906.02845
#artificialintelligence #deeplearning #machinelearning
Ren et al.: https://arxiv.org/abs/1906.02845
#artificialintelligence #deeplearning #machinelearning
TensorFlow Model Optimization Toolkit — Post-Training Integer Quantization
Blog by TensorFlow: https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-post-training-integer-quantization-b4964a1ea9ba
#tensorflow #artificialintelligence#naturallanguageprocessing
Blog by TensorFlow: https://medium.com/tensorflow/tensorflow-model-optimization-toolkit-post-training-integer-quantization-b4964a1ea9ba
#tensorflow #artificialintelligence#naturallanguageprocessing
Medium
TensorFlow Model Optimization Toolkit — Post-Training Integer Quantization
Since we introduced the Model Optimization Toolkit — a suite of techniques that both novice and advanced developers can use to optimize…
Invertible Residual Networks
Official Pytorch implementation of i-ResNets.
By Jorn Jacobsen: https://github.com/jhjacobsen/invertible-resnet
#pytorch #technology #machinelearning
Official Pytorch implementation of i-ResNets.
By Jorn Jacobsen: https://github.com/jhjacobsen/invertible-resnet
#pytorch #technology #machinelearning
"Deep Learning for Cognitive Neuroscience" https://arxiv.org/abs/1903.01458
@ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
arXiv.org
Deep Learning for Cognitive Neuroscience
Neural network models can now recognise images, understand text, translate languages, and play many human games at human or superhuman levels. These systems are highly abstracted, but are inspired...