Statistical analysis of transcriptome data. (A) SOTA clustering of the... | Download Scientific Diagram
GitHub - etetteh/sota-data-augmentation-and-optimizers: This repository contains some of the latest data augmentation techniques and optimizers for image classification using pytorch and the CIFAR10 dataset
Con-AAE compared with SOTA methods on the real-world datasets. Con-AAE... | Download Scientific Diagram
![Comparisons with the SOTA methods on the BCV and the MMWHS datasets. L:... | Download Scientific Diagram Comparisons with the SOTA methods on the BCV and the MMWHS datasets. L:... | Download Scientific Diagram](https://www.researchgate.net/publication/371605427/figure/tbl1/AS:11431281168213363@1686884879712/Comparisons-with-the-SOTA-methods-on-the-BCV-and-the-MMWHS-datasets-L-number-of-labeled.png)
Comparisons with the SOTA methods on the BCV and the MMWHS datasets. L:... | Download Scientific Diagram
![Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram](https://www.researchgate.net/publication/341851950/figure/tbl1/AS:898181160239104@1591154484434/Performance-comparison-the-best-performance-of-SOTA-data-augmentation-strategies-on_Q320.jpg)
Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram
![Facebook AI & UC Berkeley's ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks | Synced Facebook AI & UC Berkeley's ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks | Synced](https://i0.wp.com/syncedreview.com/wp-content/uploads/2022/01/image-40.png?resize=1440%2C580&ssl=1)
Facebook AI & UC Berkeley's ConvNeXts Compete Favourably With SOTA Hierarchical ViTs on CV Benchmarks | Synced
![Meet AudioLDM: A Latent Diffusion Model For Audio Generation That Trains On AudioCaps With A Single GPU And Achieves SOTA Text-To-Audio (TTA) Performance - MarkTechPost Meet AudioLDM: A Latent Diffusion Model For Audio Generation That Trains On AudioCaps With A Single GPU And Achieves SOTA Text-To-Audio (TTA) Performance - MarkTechPost](http://www.marktechpost.com/wp-content/uploads/2023/02/Screenshot-2023-02-02-at-5.42.25-PM.png)
Meet AudioLDM: A Latent Diffusion Model For Audio Generation That Trains On AudioCaps With A Single GPU And Achieves SOTA Text-To-Audio (TTA) Performance - MarkTechPost
![Map of the classification of the series from the second data set, via... | Download Scientific Diagram Map of the classification of the series from the second data set, via... | Download Scientific Diagram](https://www.researchgate.net/publication/314303553/figure/fig1/AS:682797484220420@1539803014445/Map-of-the-classification-of-the-series-from-the-second-data-set-via-SOTA-algorithm.png)
Map of the classification of the series from the second data set, via... | Download Scientific Diagram
![Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram](https://www.researchgate.net/publication/341851950/figure/tbl1/AS:898181160239104@1591154484434/Performance-comparison-the-best-performance-of-SOTA-data-augmentation-strategies-on.png)
Performance comparison (the best performance) of SOTA data augmentation... | Download Scientific Diagram
![Schematic representation of the topology of the SOTA network and the... | Download Scientific Diagram Schematic representation of the topology of the SOTA network and the... | Download Scientific Diagram](https://www.researchgate.net/publication/31444813/figure/fig3/AS:667791501848584@1536225309564/Schematic-representation-of-the-topology-of-the-SOTA-network-and-the-growing-algorithm.png)
Schematic representation of the topology of the SOTA network and the... | Download Scientific Diagram
Frank Hutter on Twitter: "This may revolutionize data science: we introduce TabPFN, a new tabular data classification method that takes 1 second & yields SOTA performance (better than hyperparameter-optimized gradient boosting in
![SOTA Super-Resolution explained - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data by Xintao Wang et al. 5 minute summary : r/deeplearning SOTA Super-Resolution explained - Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data by Xintao Wang et al. 5 minute summary : r/deeplearning](https://preview.redd.it/2zu4labieye71.png?width=564&format=png&auto=webp&s=e9641264004c8a1d11cc8c465111f3cb2c36ded1)