LIU Chen

Identity for developers on the web.

Bayesian Inference

Unofficial Implementation of VisNet: Deep Convolutional Neural Networks for Forecasting Atmospheric Visibility

Tutorials for STAT4609 (2022) Big Data Analytics

use clip feature and text to generate long sentences as the input of language model

Training GNNs with PyTorch Lightning: Open Graph Benchmarks and image classification from superpixels

No description provided.

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Training and evaluating NBM and SPAM for interpretable machine learning.

Multi-Space Domain Adaptive Classification

The Official Repository for "Generalized OOD Detection: A Survey"

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A collection of AWESOME things about domian adaptation

[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

This is a Pytorch implementation of GraphLIME

Efficient 3D human pose estimation in video using 2D keypoint trajectories

A library for graph deep learning research

No description provided.

Github for the NIPS 2020 paper "Learning outside the black-box: at the pursuit of interpretable models"

[CVPR 2021] Released code for Counterfactual Zero-Shot and Open-Set Visual Recognition

gnn explainer

Unwrapping Black Box of ReLU DNNs

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Conditional Structure Generation through Graph Variational Generative Adversarial Nets, NeurIPS 2019.

Platform for designing and evaluating Graph Neural Networks (GNN)

No description provided.

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

Variational Adversarial Active Learning (ICCV 2019)