From Recognition to Cognition: Visual Commonsense Reasoning

Zellers et al.: https://lnkd.in/ez3R-yq

#ComputerVision #PatternRecognition #Reasoning #machinelearning #technology


❇️ @AI_Python
✴️ @AI_Python_EN

Invertible Residual Networks

Paper by Behrmann: https://lnkd.in/dDnrmhr

#MachineLearning #ArtificialIntelligence #ComputerVision #PatternRecognition

❇️ @AI_Python
🗣 @AI_Python_Arxiv
✴️ @AI_Python_EN

HOW TO IMPROVE YOUR SKILL ON TEXT DATA?

Rubens Zimbres, PhD compile amazing resources on Machine Learning, NLP, and Computer Vision. On NLP Side he cover pretty much every common topic on NLP, this is very useful because as data scientist we often dealing with text data.

Yo can see the repository here https://lnkd.in/fyyvZYt

#repository #machinelearning #patternrecognition #artificialintellegence

✴️ @AI_Python_EN
❇️ @AI_Python
🗣 @AI_Python_arXiv

Equi-normalization of Neural Networks

Stock et al.: https://lnkd.in/eSCXsr7

#ComputerVision #PatternRecognition #MachineLearning

✴️ @AI_Python_EN

Robust Re-identification of Manta Rays from Natural Markings by Learning Pose Invariant Embeddings

Moskvyak et al.: https://lnkd.in/eqYaqQD

#ArtificialNeuralNetworks #ComputerVision #PatternRecognition #Technology

✴️ @AI_Python_EN

Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration

By Huang et al.: https://lnkd.in/e3vY6pq

#ComputerVision #PatternRecognition #ArtificialIntelligence #MachineLearning #Robotics

✴️ @AI_Python_EN

One of the BEST #MachineLearning Glossary by Google


It will definitely come in handy - https://lnkd.in/gNiE9JT


#machinelearing #glossaries #patternrecognition #artificialintellegence

✴️ @AI_Python_EN

Variational Autoencoders Pursue PCA Directions (by Accident)

Rolinek et al.: https://lnkd.in/efNRnb9

#ArtificialIntelligence #DeepLearning #MachineLearning #ComputerVision #PatternRecognition

✴️ @AI_Python_EN

HOW TO IMPROVE YOUR SKILL ON TEXT DATA?


Rubens Zimbres, PhD compile amazing resources on Machine Learning, NLP, and Computer Vision. On NLP Side he cover pretty much every common topic on NLP, this is very useful because as data scientist we often dealing with text data.

Yo can see the repository here https://lnkd.in/fyyvZYt

#repository #machinelearning #patternrecognition #artificialintellegence
✴️ @AI_Python_EN

PaintBot: A Reinforcement Learning Approach for Natural Media Painting

Jia et al.: https://lnkd.in/ez5Vqav

#ComputerVision #PatternRecognition #ReinforcementLearning #Painting

✴️ @AI_Python_EN

Hyperbolic Image Embeddings

Khrulkov et al.: https://lnkd.in/e4BQMmM
#PyTorch code:
https://lnkd.in/eS5tisi

#ComputerVision #DeepLearning #PatternRecognition #MachineLearning

✴️ @AI_Python_EN

HOW TO IMPROVE YOUR SKILL ON TEXT DATA?


Rubens Zimbres, PhD compile amazing resources on Machine Learning, NLP, and Computer Vision. On NLP Side he cover pretty much every common topic on NLP, this is very useful because as data scientist we often dealing with text data.

Yo can see the repository here https://lnkd.in/fyyvZYt

#repository #machinelearning #patternrecognition #artificialintellegence

✴️ @AI_Python_EN

VideoBERT: A Joint Model for Video and Language Representation Learning

Sun et al.: https://lnkd.in/ek7MYKP

#ComputerVision #PatternRecognition #ArtificialIntelligence

✴️ @AI_Python_EN

Improving Deep Lesion Detection Using 3D Contextual and Spatial Attention
https://deepai.org/publication/improving-deep-lesion-detection-using-3d-contextual-and-spatial-attention by Qingyi Tao et al.
#ComputerVision #PatternRecognition

✴️ @AI_Python_EN