Deep Learning Papers

• Semantic segmentation with prototype-based consistency regularization Jan 29

• How and why stable diffusion works for text to image generation Aug 27
• Rethinking Depthwise Separable Convolutions in PyTorch Jul 19
• DINO - Emerging properties in self-supervised vision transformers Mar 13
• Rethinking Batch in BatchNorm Feb 28

• P-Diff Learning Classifier with noisy labels based on probability difference distributions Oct 17
• Meta-learning from noisy labels Jun 25
• Depthwise Separable Convolutions in PyTorch Feb 6

• Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition Nov 29
• End-to-End object detection with transformers Aug 30