No official code found. Best implementation: xinyangATK/ProGBN (7 stars, last commit 2023-06-03).
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Boosting Image Quality Assessment Through Efficient Transformer Adaptation with Local Feature Enhancement
Approximate Bayesian Inference with Stein Functional Variational Gradient Descent
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Probabilistic Time Series Modeling with Decomposable Denoising Diffusion Model
Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning
@article{duan2026bayesian,
title = {Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process},
author = {Zhibin Duan and Xinyang Liu and Yudi Su and Yishi Xu and Bo Chen and Mingyuan Zhou},
year = {2026},
url = {https://api.semanticscholar.org/CorpusID:4c7f0bcf670ec4d17bc737b519095691a021744b},
journal = {ICML 2023 2023}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/4c7f0bcf670ec4d17bc737b519095691a021744b)