Backpropagated Gradient Representations for Anomaly Detection

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

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

Bad Global Minima Exist and SGD Can Reach Them

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

Omnimatte: How to Detect Objects and Their Effects

Meta Dropout: Learning to Perturb Latent Features for Better Generalization

When Does Self-Supervision Improve Few-Shot Learning?

Using Artifacts to Build an End to End ML Pipeline

Feedforward Networks for Image Classification

Using AWS Sagemaker and Weights & Biases Together on Digit Recognition with MNIST

The Geometry of Deep Generative Image Models

Bringing Back MLPs

Inject Noise to Remove Noise: A Deep Dive into Score-Based Generative Modeling Techniques

Generating Digital Painting Lighting Effects via RGB-space Geometry

Gym-μRTS: Toward Affordable Deep Reinforcement Learning Research in Real-Time Strategy Games

A Gentle Introduction To Weight Initialization for Neural Networks

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

Funnel Activation for Visual Recognition (CVPR 2020)

Gated Channel Transformation for Visual Recognition (CVPR 2020)