Slide 9
Slide 9 text
Top10 Recent (: CNN, : Transformer)
1. ResNet strikes back: An improved training procedure in timm
2. Exploring the Limits of Large Scale Pre-training
3. Deep Neural Networks and Tabular Data: A Survey
4. Learning in High Dimension Always Amounts to Extrapolation
5. ADOP: Approximate Differentiable One-Pixel Point Rendering
6. Well-classi
fi
ed Examples are Underestimated in Classi
fi
cation with
Deep Neural Networks
7. ByteTrack: Multi-Object Tracking by Associating Every Detection Box
8. MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
Transformer ← PickUp!
9. Fast Model Editing at Scale
10. Self-supervised Learning is More Robust to Dataset Imbalance