Codes & Datasets
We publicly released source code implementations and datasets developed for our research, hoping that they will facilitate further AI research and applications.
Released Source Codes
NO |
Code |
Paper |
Conference |
Year |
---|---|---|---|---|
01. |
LAMPAT
1
1
|
LAMPAT: Low-rank Adaption for Multilingual Paraphrasing using Adversarial Training | AAAI | 2024 |
02. |
SA-DPM
7
1
|
On Inference Stability for Diffusion Models | AAAI | 2024 |
03. |
PhoGPT
764
65
|
Pho-GPT: Generative Pre-training for Vietnamese | 2023 | |
04. |
Dataset-Diffusion
108
4
|
Dataset Diffusion: Diffusion-based Synthetic Dataset Generation for Pixel-Level Semantic Segmentation | NeurIPS | 2023 |
05. |
LFM
223
9
|
Flow Matching in Latent Space | CVPR | 2023 |
06. |
GaPro
19
1
|
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers | ICCV | 2023 |