1:04:24
W&B Paper Reading Group: Nf-ResNet
Weights & Biases
1:02:14
W&B Paper Reading Group: ConViT
1:14:39
W&B Paper Reading Group: EfficientNetV2
1:13:49
W&B Paper Reading Group: MLP-Mixer
1:01:26
W&B Paper Reading Group: CaiT
1:14:01
W&B Paper Reading Group: DETR
1:17:30
W&B Paper Reading Group: MDETR with author Aishwarya Kamath
1:00:11
ResNets Paper Reading: Deep residual Learning for Image Recognition
1:05:35
W&B Paper Reading Group: DenseNet
51:41
W&B Paper Reading Group: Squeeze-and-Excitation Networks
47:36
W&B Paper Reading Group: EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
1:02:41
W&B Paper Reading Group: U-Net: CNNs for Biomedical Image Segmentation
1:11:43
W&B Paper Reading Group: NeurIPS edition
1:00:50
W&B Paper Reading Group: Revisiting Deep Learning Models for Tabular Data
1:01:01
Paper Reading Group: ConvNext
53:50
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
1:05:04
W&B Paper Reading Group: Politeness Transfer "A Tag and Generate Approach"
50:20
NfNet: High-Performance Large-Scale Image Recognition Without Normalization
