Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

Github: https://github.com/HayeonLee/MetaD2A

Paper: https://arxiv.org/abs/2107.00860v1

@ArtificialIntelligencedl
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds (CVPR 2020)

Github: https://github.com/QingyongHu/RandLA-Net

Paper: https://arxiv.org/abs/1911.11236

Project: http://randla-net.cs.ox.ac.uk/

@ArtificialIntelligencedl
Best machine learning tutorials: @ai_machinelearning_big_data -

Usufull python resourses: @pythonl

Artificial intelligence articles: @ArtificialIntelligencedl

Data science free books: @datascienceiot

Machine learning RU: @machinelearning_ru

ML chat: @machinee_learning

Free python books: @pythonlbooks
Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?

Github: https://github.com/leeyegy/SimDR

Paper: https://arxiv.org/abs/2107.03332v1

Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl
🎨 Wavelet Transform-assisted Adaptive Generative Modeling for Colorization

Github:
https://github.com/yqx7150/WACM

Paper:
https://arxiv.org/pdf/2107.04261v1.pdf

Dataset: https://paperswithcode.com/dataset/coco-stuff

@ArtificialIntelligencedl
⭐️ Facebook's Per-Pixel Classification is Not All You Need for Semantic Segmentation

Github:
https://github.com/facebookresearch/MaskFormer

Paper:
http://arxiv.org/abs/2107.06278

Project: https://bowenc0221.github.io/maskformer

@ArtificialIntelligencedl
Forwarded from Machinelearning
🔝 Deepmind's WikiGraphs: A Wikipedia Text - Knowledge Graph Paired Dataset

This package provides tools to download the WikiGraphs dataset

Github: https://github.com/deepmind/deepmind-research/tree/master/wikigraphs

Paper: https://arxiv.org/abs/2107.09556v1

Dataset: https://paperswithcode.com/dataset/wikigraphs

@ai_machinelearning_big_data
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision

Github: https://github.com/Vanint/TADE-AgnosticLT

Paper:
https://arxiv.org/abs/2107.09249v1

Dataset: https://paperswithcode.com/dataset/cifar-10

@ArtificialIntelligencedl
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models

Github: https://github.com/katiana22/GDM-PCE

Paper:
https://arxiv.org/abs/2107.09814


@ArtificialIntelligencedl
📊 QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

Github: https://github.com/mit-han-lab/pytorch-quantum

Paper:
https://arxiv.org/abs/2107.10845v1

@ArtificialIntelligencedl