An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)

Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"

Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation

The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)

This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.

Summaries of talks and workshops I followed at NeurIPS 2020