Read about the latest AI research. Relevant and concisely.
Joined June 2019
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ML p(r)ior retweeted
From #artificialintelligence and AI scientists to pharmaceutical analytics, @manuscript and the team have worked hard to select our latest #CatalystGrant winners = @mlprior_com @ABuvailo and @intoolab 🥳Read about these three game changing ideas 💡bit.ly/2n5C2Zm
The #adversarial patterns on the goods in this shop are designed to trigger Automated License Plate Readers, injecting junk data into the systems used by the State and its contractors to monitor and track civilians and their locations. adversarialfashion.com
Integration between @mlprior_com and @paperswithcode is started! For now there are 20893 links between articles and GitHubs. Check this out on the example mlprior.com/articles/details…
illustration of what proper #TransferLearning is about.
By @PongfinityHQ
#ArtificailIntelligence #MachineLearning
Making Convolutional Networks Shift-Invariant Again: integration of classic anti-aliasing filtering which serves as an effective regularizer to improve shift-invariance of ConvNets!
By @rzhang88 @AdobeResearch
#ICML2019 #Convnet #Imagenet
Details: mlprior.com/articles/details…
InterFaceGAN by @CUHKofficial: Upon identifying semantic subspaces authors can faithfully manipulate the facial attributes — binary attribute is actually encoded in a subspace inside the GAN latent space.
#GAN #StyleGAN #LatentSpace #InterFaceGAN
Details: mlprior.com/articles/details…
GROVER: A State-of-the-Art Defense against Neural Fake News by @rown @allen_ai @uwcse.
“The best way to detect neural fake news is to use a model that is also a generator.”
#FakeNews #AI4Good #TextGeneration
Details: mlprior.com/articles/details…
Prototype: grover.allenai.org
This is amazing app @MathpixApp! Just write equation by hand -> make a photo -> paste generated LaTeX code at @Overleaf!
#LaTeX #TeXLaTeX
Locating Objects Without Bounding Boxes: modification of Hausdorff distance as a loss function for CNN to estimate the location of objects without bounding boxes by @javiriberaprat and @dgueraco et al.
#CVPR2019 #PyTorch #ComputerVision #Hausdorff
Details: mlprior.com/articles/details…
SOTA performance in large-scale face clustering based on Graph CNN by @ccloy.
#ComputerVision #FaceRecognition #PyTorch
Details: mlprior.com/articles/details…
Learning to Cluster Faces on an Affinity Graph #CVPR2019 (oral)
Paper: arxiv.org/abs/1904.02749
Project Page: yanglei.me/project/ltc/
Code: github.com/yl-1993/learn-to-…
STEAL: a new semantic boundary detector, that:
-can be plugged into any existing semantic boundary network;
-can refine noisy annotations in datasets.
@davidjesusacu @amlankar95 @FidlerSanja @NvidiaAI
#CVPR2019 #SemanticSegmentation #PyTorch
Details: mlprior.com/articles/details…
Unsupervised Data Augmentation which achieves state-of-the-art results on a wide variety of language and vision tasks by @QizheXie @lmthang @quocleix et al.
Details: mlprior.com/articles/details…
Now MLp(r)ior is available online mlprior.com/. There are 93446 articles, 6167 Github repositories, and 4 Blog posts. We’ll post the most popular research here.