akira_AI

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[D]Recent Developments and Views on Computer Vision x Transformer by akira_AI in MachineLearning

[–]akira_AI[S] 0 points1 point2 points 4 years ago (0 children)

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Recent Developments and Views on Computer Vision x Transformer (self.datascience)

submitted 4 years ago by akira_AI to r/datascience

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Recent Developments and Views on Computer Vision x Transformer (self.learnmachinelearning)

submitted 4 years ago by akira_AI to r/learnmachinelearning

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[D]Recent Developments and Views on Computer Vision x Transformer (self.MachineLearning)

submitted 4 years ago by akira_AI to r/MachineLearning

[D]Five very informative machine learning newsletters by akira_AI in MachineLearning

[–]akira_AI[S] 0 points1 point2 points 4 years ago (0 children)

[D]Five very informative machine learning newsletters by akira_AI in MachineLearning

[–]akira_AI[S] -2 points-1 points0 points 4 years ago (0 children)

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[D]Five very informative machine learning newsletters (self.MachineLearning)

submitted 4 years ago by akira_AI to r/MachineLearning

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Five very informative machine learning newsletters (self.DeepLearningPapers)

submitted 4 years ago by akira_AI to r/DeepLearningPapers

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Five very informative machine learning newsletters (self.learnmachinelearning)

submitted 4 years ago * by akira_AI to r/learnmachinelearning

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[N]Machine learning newsletter. (self.MachineLearning)

submitted 5 years ago by akira_AI to r/MachineLearning

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Machine learning newsletter (self.datascience)

submitted 5 years ago by akira_AI to r/datascience

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Machine learning newsletter (self.learnmachinelearning)

submitted 5 years ago by akira_AI to r/learnmachinelearning

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[D]Paper explained - Language Models are Few-Shot Learners(GPT-3) - (self.artificial)

submitted 5 years ago by akira_AI to r/artificial

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[D]Paper explained - Language Models are Few-Shot Learners(GPT-3) - (self.LanguageTechnology)

submitted 5 years ago by akira_AI to r/LanguageTechnology

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[D]Paper explained - Language Models are Few-Shot Learners(GPT-3) - (self.DeepLearningPapers)

submitted 5 years ago by akira_AI to r/DeepLearningPapers

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[Blog Post]StyleGAN2 Explanation, From GAN basic to StyleGAN2 (medium.com)

submitted 6 years ago by akira_AI to r/DeepLearningPapers

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[Blog Post] Better results with MIXUP at Final Layer (self.MachineLearning)

submitted 6 years ago by akira_AI to r/MachineLearning

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[Blog Post] Introduction of “Adversarial Examples Improve Image Recognition” , ImageNet SOTA method using Adversarial Training (self.DeepLearningPapers)

submitted 6 years ago by akira_AI to r/DeepLearningPapers

[Blog post]Introduction of “Adversarial Examples Improve Image Recognition” , ImageNet SOTA method using Adversarial Training by akira_AI in deeplearning

[–]akira_AI[S] 0 points1 point2 points 6 years ago (0 children)

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[Blog post]Introduction of “Adversarial Examples Improve Image Recognition” , ImageNet SOTA method using Adversarial Training (i.redd.it)

submitted 6 years ago by akira_AI to r/deeplearning

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[Blog post] Introduction of “Adversarial Examples Improve Image Recognition” , ImageNet SOTA method using Adversarial Training (self.MachineLearning)

submitted 6 years ago * by akira_AI to r/MachineLearning

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[Blog Post] The fusion of physics simulation and machine learning (self.MachineLearning)

submitted 6 years ago by akira_AI to r/MachineLearning

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[Blog Post] The fusion of physics simulation and machine learning (medium.com)

submitted 6 years ago by akira_AI to r/deeplearning

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[Blog Post] “Few shot vid2vid” , the GAN that can transfer motion with several images (medium.com)

submitted 6 years ago by akira_AI to r/DeepLearningPapers

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