Pivotal Tuning for Latent-Based Editing of Real Images

The Reality Behind Optimization of Imaginary Variables - II

What Is Cross Entropy Loss? A Tutorial With Code

YOLOv5 Object Detection on Windows (Step-By-Step Tutorial)

Backpropagated Gradient Representations for Anomaly Detection

Uncertainty-Guided Continual Learning With Bayesian Neural Networks

Decision Trees: A Guide with Examples

Dynamic Group Convolution for Accelerating Convolutional Neural Networks (ECCV 2020)

Using LSTM in PyTorch: A Tutorial With Examples

Named Entity Recognition with W&B and spaCy

Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR 2020)

Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification

Tensorboard With Accelerators: A Guide

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets (CVPR 2020)

Bad Global Minima Exist and SGD Can Reach Them

How to Fine-Tune BERT for Text Classification

Text Classification With AWS SageMaker, HuggingFace, and W&B

Omnimatte: How to Detect Objects and Their Effects

How To Fine-Tune Hugging Face Transformers on a Custom Dataset

Meta Dropout: Learning to Perturb Latent Features for Better Generalization