junchenzhi

Awesome-Weak-Supervision-Sequence-Labeling

A curated list of awesome Weak-Supervision-Sequence-Labeling (WSSL) papers, methods & resources.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

Logic-LNCL

Code for the ICDE-2023 paper: Learning from Noisy Crowd Labels with Logics

Neural-Hidden-CRF

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

square-2.0

SQUARE-2.0 (Statistical QUality Assurance Robustness Evaluation)

Truth-Inference-with-Sreaming-Data

This repository provides a truth inference algorithm that can process multi-task streaming data.

vae

a simple vae and cvae from keras

VAE_chenzhijun

junchenzhi/Neural-Hidden-CRF

Code for the KDD-2023 paper: Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

junchenzhi/Logic-LNCL

Code for the ICDE-2023 paper: Learning from Noisy Crowd Labels with Logics

junchenzhi/Awesome-Weak-Supervision-Sequence-Labeling

A curated list of awesome Weak-Supervision-Sequence-Labeling (WSSL) papers, methods & resources.

junchenzhi/generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

junchenzhi/square-2.0

SQUARE-2.0 (Statistical QUality Assurance Robustness Evaluation)

junchenzhi/Truth-Inference-with-Sreaming-Data

This repository provides a truth inference algorithm that can process multi-task streaming data.

junchenzhi/vae

a simple vae and cvae from keras

junchenzhi/VAE_chenzhijun