Pinned Repositories
uncertainty-aware-HSIC
arxiv-update
awesome-equivariant-network
Paper list for equivariant neural network
awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Graph-Posterior-Network
IEEE_TGRS_GCN
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
KDD22-OODGAT
This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
Learning-to-Stop-Notes
This is notes for paper review of "Learning to Stop While Learning to Predict"
linlin-yu's Repositories
linlin-yu/linlin-yu.github.io
linlin-yu/arxiv-update
linlin-yu/Paper_Writing_Tips
linlin-yu/ubev-UDMKDD
Uncertainty quantification for BEV segmentation.
linlin-yu/uncertainty-aware-HSIC
linlin-yu/Graph-Posterior-Network
linlin-yu/awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
linlin-yu/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
linlin-yu/IEEE_TGRS_GCN
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
linlin-yu/DeepHyperX
Deep learning toolbox based on PyTorch for hyperspectral data classification.
linlin-yu/KDD22-OODGAT
This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.
linlin-yu/math-with-slack
Rendered math (MathJax) with Slack's desktop client
linlin-yu/awesome-equivariant-network
Paper list for equivariant neural network
linlin-yu/pytorch-classification-uncertainty
This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"
linlin-yu/uncertainty-GNN
Uncertainty Aware Semi-Supervised Learning on Graph Data
linlin-yu/Learning-to-Stop-Notes
This is notes for paper review of "Learning to Stop While Learning to Predict"
linlin-yu/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)