Invariant Information Distillation for Unsupervised Image Segmentation and Clustering : MachineLearning

Title: Invariant Information Distillation for Unsupervised Image Segmentation and ClusteringAuthors: Xu Ji, João F. Henriques, Andrea VedaldiAbstract: We present a new method that learns to segment and cluster images without...

[P] Using AI in League of Legends to Improve my Team’s Decision Making (feedback...

Hi All,I have recently posted the following article:https://towardsdatascience.com/ai-in-video-games-improving-decision-making-in-league-of-legends-using-real-match-statistics-and-29ebc149b0d0In this project, I took real match statistics and attempted to model it as an MDP and then apply reinforcement learning in order...

[D] What’s currently the best pretrained model for detecting emotions in pictures? : MachineLearning

I'm looking for something like this, where it picks up specific emotions in faces, like how much anger or sadness is in that person's face. So something that picks up...

[D] Any interest in a Paper-Discussion Twitch-stream?

I am a CS Student at the KIT in Karlsruhe and every week I attend the local ML paper-discussions. I initiated one of them, which focuses more on...

[ICML18] Decoupled Parallel Backpropagation with Convergence Guarantee : MachineLearning

Title: Decoupled Parallel Backpropagation with Convergence GuaranteeAuthors: Zhouyuan Huo, Bin Gu, Qian Yang, Heng HuangAbstract: Backpropagation algorithm is indispensable for the training of feedforward neural networks. It requires propagating error...

[D]Autopsy of a deep learning paper

The author has an agenda, and the derogatory part about DL papers in general is unconvincing. However, the part where the author replicates the results of the Uber AI...

[P] Primal Interior Method implementation for convex optimization in ML (MATLAB)

submitted by /u/sritee Source link thanks you RSS link ( https://www.reddit.com/r/MachineLearning/comments/90n6do/p_primal_interior_method_implementation_for/)

[R] Deep Clustering for Unsupervised Learning of Visual Features (unsupervised learning paper from FAIR...

Title: Deep Clustering for Unsupervised Learning of Visual FeaturesAuthors: Mathilde Caron, Piotr Bojanowski, Armand Joulin, Matthijs DouzeAbstract: Clustering is a class of unsupervised learning methods that has been extensively applied...

[D] Adversarial Reprogramming – Reproducing the results and some new ideas

submitted by /u/MindSustenance Source link thanks you RSS link ( https://www.reddit.com/r/MachineLearning/comments/90iaw5/d_adversarial_reprogramming_reproducing_the/)

[R] Erik Meijer – Machine Learning: Alchemy for the Modern Computer Scientist : MachineLearning

This talk is quite basic so watching it might be boring, but it was given at a programming language research forum (PLDI) so it represents a perspective on ML by...

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