MTAD-GAT Using Graph-attention For Multivariate Time Series Anomaly Detection
MTAD-GAT Using Graph-attention For Multivariate Time Series Anomaly Detection
Time-series
Articles
[Materials Informatics] Successfully Exploiting The Potential Of Deep Learning Through Individual Residual Learning!
[Materials Informatics] Successfully Exploiting The Potential Of Deep Learning Through Individual Re ...
Materials Informatics
Differences Between General And Medical Image Classification Models From The Perspective Of Adversarial Attacks
Differences Between General And Medical Image Classification Models From The Perspective Of Adversar ...
Adversarial Perturbation
This Is The SoTA Paper On Speech Recognition! What A Study By Google That Pushes The Limits Of Semi-supervised Learning!
This Is The SoTA Paper On Speech Recognition! What A Study By Google That Pushes The Limits Of Semi- ...
Voice Recognition
What Is FaceController, An Efficient Face Editing Model?
What Is FaceController, An Efficient Face Editing Model?
Face Recognition
Virtual Try-on Is Almost A Reality! Generative Modeling Frontline!
Virtual Try-on Is Almost A Reality! Generative Modeling Frontline!
GAN (Hostile Generation Network)
A Model To Support Optimal Treatment Decisions In Blood Glucose Management! Constructing A Reinforcement Learning Model To Estimat ...
A Model To Support Optimal Treatment Decisions In Blood Glucose Management! Constructing A Reinforce ...
Medical
Photorealistic Image Generation Using G-buffers And Rendering Pipelines!
Photorealistic Image Generation Using G-buffers And Rendering Pipelines!
Image2image
Medical Image Analysis Using W&D (Wide And Deep Network Model)
Medical Image Analysis Using W&D (Wide And Deep Network Model)
Medical
How Do CNNs And Transformers Compare To Human Vision?
How Do CNNs And Transformers Compare To Human Vision?
Transformer
Deep Learning Is Changing The Way We Predict The Future
Deep Learning Is Changing The Way We Predict The Future
Survey
A Smoothing Method For Robust Overfitting Suppression
A Smoothing Method For Robust Overfitting Suppression
Adversarial Perturbation
Replicated In A Leukemia Treatment Strategy Model! A Proposed Decision Framework For Leukemia Treatment Policy Using Deep Reinforc ...
Replicated In A Leukemia Treatment Strategy Model! A Proposed Decision Framework For Leukemia Treatm ...
Medical
Generating A Variable Simulator For Automated Driving: DriveGAN!
Generating A Variable Simulator For Automated Driving: DriveGAN!
Reinforcement Learning
![[MLP-Mixer] The Day](https://aisholar.s3.ap-northeast-1.amazonaws.com/media/June2021/convolution%E3%82%82attention%E3%82%82%E3%81%84%E3%82%89%E3%81%AA%E3%81%84%212-min-520x300.png)
[MLP-Mixer] The Day MLP Surpasses CNN And Transformer
[MLP-Mixer] The Day MLP Surpasses CNN And Transformer
Image Recognition
Cancer Status Can Be Predicted Before Surgery! A Proposed Framework For Preoperative Prediction Of Ovarian Cancer Using Machine Le ...
Cancer Status Can Be Predicted Before Surgery! A Proposed Framework For Preoperative Prediction Of O ...
Medical
Transformer Without Attention: GMLP Will Be Active!
Transformer Without Attention: GMLP Will Be Active!
Transformer
SoTA For Similar Vector Search! Introducing ScaNN, A Method Used In GCP: Vertex Matching Engine!
SoTA For Similar Vector Search! Introducing ScaNN, A Method Used In GCP: Vertex Matching Engine!
Vector Search
And There It Is Again! Another (M)DETR! An Innovative Paradigm For Multimodal Inference Models.
And There It Is Again! Another (M)DETR! An Innovative Paradigm For Multimodal Inference Models.
Transformer
【Lambda Networks】No Need For Attention! This Is The New Generation Of Lambda Networks!
【Lambda Networks】No Need For Attention! This Is The New Generation Of Lambda Networks!
Machine Learning
Proposed A New Task Called Deep Imbalanced Regression (DIR), Which Is A Real-world Problem Faced By The Author
Proposed A New Task Called Deep Imbalanced Regression (DIR), Which Is A Real-world Problem Faced By ...
Deep Learning
MegazordNet: Stock Prediction With Statistics And Machine Learning
MegazordNet: Stock Prediction With Statistics And Machine Learning
Time-series
Graphs Are So Awesome! Review Of Integration With Deep Learning
Graphs Are So Awesome! Review Of Integration With Deep Learning
GNN
Successful Cross-domain GAN Learning With Only 10 Images
Successful Cross-domain GAN Learning With Only 10 Images
GAN (Hostile Generation Network)
There Was An Implicit Error?
There Was An Implicit Error?
GAN (Hostile Generation Network)
Techniques For Training GANs On A Small Number Of Data
Techniques For Training GANs On A Small Number Of Data
GAN (Hostile Generation Network)
Can Transformer Revolutionize Reinforcement Learning This Time?
Can Transformer Revolutionize Reinforcement Learning This Time?
Reinforcement Learning
Using Random Labels Improves Text Classification!
Using Random Labels Improves Text Classification!
Natural Language Processing
A New Reinforcement Learning Robot Walking Algorithm Based On Neural Circuits! Realization Of A Bipedal Walking Framework Based On ...
A New Reinforcement Learning Robot Walking Algorithm Based On Neural Circuits! Realization Of A Bipe ...
Reinforcement Learning
More Robust With Hostile Data Extensions + Mixups!
More Robust With Hostile Data Extensions + Mixups!
Natural Language Processing
We Finally Found Out! It Was Him!
We Finally Found Out! It Was Him!
Style_Transfer