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Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (ECCV 2020)
AvantikaMay 06Intermediate, Computer Vision, Object Detection, PyTorch, Research, CNN, Github, Panels, Plots, Slider, COCO, RC

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing (CVPR 2020)
Manoj ManjhariMay 03Intermediate, Computer Vision, Research, SPNets (Strip Pool), Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR-100, CIFAR10

II. Shopee Competition: Model Training with Pytorch x RAPIDS
Andrada OlteanuMay 03Intermediate, Computer Vision, Object Detection, PyTorch, Tutorial, Github, Kaggle

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks
Laura R Edmondson, Anil OzdemirApr 21Intermediate, Computer Vision, OCR, Object Detection, Research, SNN, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, MNIST, RC

On the Relationship Between Self-Attention and Convolutional Layers
Nishant Prabhu, Mukund Varma TApr 14Intermediate, Computer Vision, Classification, PyTorch, Research, Github, Panels, Plots, CIFAR10, RC

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Diganta MisraApr 12Intermediate, Computer Vision, Object Detection, Research, CNN, Github, Panels, RC

Reproducible Models with Weights & Biases
Diganta MisraApr 01Intermediate, Domain Agnostic, W&B Meta, ResNet, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, RC

Rigging the Lottery: Making All Tickets Winners
Rajat Vadiraj Dwaraknath, Varun SundarMar 24Intermediate, Computer Vision, NLP, Classification, Language Understanding, PyTorch, Research, ResNet, Github, CIFAR-100, CIFAR10, RC

Reformer: The Efficient Transformer
Morgan, Hallvar Gisnås, Arto, tyoc213, Priyank, Sheik Mohamed Imran, Dean PMar 24Intermediate, NLP, fastai, Research, Github, Panels, Plots, TinyShakespeare, RC

Exploring Adaptive Gradient Clipping and NFNets
Ayush ThakurMar 18Intermediate, Computer Vision, Object Detection, Research, NFNet, ResNet, Github, Panels, Parameter Importance, Plots, Sweeps, CIFAR10, Normalization

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