Summaries of talks and workshops I followed at NeurIPS 2020
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Updated
Dec 15, 2020
Summaries of talks and workshops I followed at NeurIPS 2020
This project contains the code for the paper accepted at NeurIPS 2020 - Robust Meta-learning for Mixed Linear Regression with Small Batches.
The code repository for Discovering Conflicting Groups in Signed Networks (NeurIPS 2020)
Implementation of NeurIPS2020 paper: Auto-Panoptic: Multi-Component Architecture Search for Panoptic Segmentation
Codebase associated with paper "Memory-Efficient Learning of Stable Linear Dynamical Systems for Prediction and Control"
PyTorch implementations of "Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning" (NeurIPS2020)
Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)
Diverse Image Captioning with Context-Object Split Latent Spaces (NeurIPS 2020)
(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
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