There are 7 repositories under neurips-2020 topic.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
[NeurIPS 2020] Differentiable Augmentation for Data-Efficient GAN Training
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
The official PyTorch implementation for NCSNv2 (NeurIPS 2020)
A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.
Embed strange attractors using a regularizer for autoencoders
Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper
Adversarial Distributional Training (NeurIPS 2020)
Dockerized Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.
PyTorch implementation of "STNs" and "Delta-STNs".
PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
Implement of DiGCN, NeurIPS-2020
Hybrid Models for Learning to Branch (NeurIPS 2020)
[NeurIPS2020] The official repository of "AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows".
Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning
Code for the paper "Strongly Incremental Constituency Parsing with Graph Neural Networks"
NeurIPS 2020, "A Topological Filter for Learning with Label Noise".
Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".
Input-aware Dynamic Backdoor Attack (NeurIPS 2020)