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)

Kaggle's MMLM 2021-NCAAW-Spread

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)

II. Shopee Competition: Model Training with Pytorch x RAPIDS

I. Shopee Competition: EDA and Preprocessing