Using W&B with DeepChem: Molecular Graph Convolutional Networks

SBX Robotics: Synthetic Training Data & Scene Composition with Tables

Tables Tutorial: Visualize Text Data & Predictions

The Geometry of Deep Generative Image Models

Is MLP-Mixer a CNN in Disguise?

Bringing Back MLPs

A Deep Dive into Neural Architecture Search Without Training (NASWOT)

MLP-Mixer: An all-MLP Architecture for Vision

Is ImageNet21k a Better Dataset for Transfer Learning in Steganalysis?

Fine-Grained Image Classification (FGIC) with B-CNNs

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

How Nanit Improves and Develops Models

Gated Channel Transformation for Visual Recognition (CVPR 2020)

Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training (ECCV 2020)

Revisiting ResNets: Improved Training and Scaling Strategies

Explained: Characterizing Signal Propagation to Close the Performance Gap in Unnormalized ResNets

Strip Pooling: Rethinking Spatial Pooling for Scene Parsing (CVPR 2020)

Interventional Few-Shot Learning

Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Image Generation Based on Abstract Concepts Using CLIP + BigGAN