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# System prepended metadata

title: Truthworthy ML 下學期規劃

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# Truthworthy ML 下學期規劃

## Paper seminar
- 讓組員分兩組，每兩周報告 paper 
- 目的：讓大家能夠鑽研整理 paper 報告技巧、實現 paper code 並應用

**電腦視覺**
- [CVPR paper with code(ref)](https://github.com/amusi/CVPR2024-Papers-with-Code/tree/master)
- 3d gaussian splatting 
- TensoRF Tensorial Radiance Fields.pdf
- hexplane
- NeRF
- NeRV
- VAE
- SEAN: Image Synthesis with Semantic Region-Adaptive Normalization(GAN)
- 	Attention Is All You Need(transformer)
- 	Vision Transformer with Super Token Sampling
    - 	[code](https://github.com/hhb072/STViT)
- 	Simple diffusion: End-to-end diffusion for high resolution images
    - [code](https://github.com/patil-suraj/simple-diffusion)
**影像/影片/點雲壓縮**
- PCGCv1
- PCGCv2
- Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression(pcgcv3, sparse pcgc)
    - [code](https://github.com/NJUVISION/SparsePCGC)
- Variational image compression with a scale hyperprior
- (PCC-S)PointCloudCompressionwithSiblingContext andSurfacePriors
- Efficient LiDAR Point Cloud Geometry Compression
Through Neighborhood Point Attention
- Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression
- YOGA
- [kd tree](https://zhuanlan.zhihu.com/p/112246942)
- [oct tree](https://blog.csdn.net/xhtchina/article/details/129913312)
- Image Compression Using Augmented Normalizing Flows


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### Refined Proposal of GDSC

#### Overview
**Total 14 weeks:**
* Spending 5 - 7 weeks to prepare for technical background
    * Video Resources
    * Weekly QA
* Paper Reading and Implementation
    * Weekly Meeting on Papers
    * Paper/Topic Decision before last three weeks
    * Groups Topic (Plausible):
        * Trustworthy ML
        * Natural Language Processing
        * Computer Vision 

#### Paper Lists:
* [Attention is all-you-need](https://proceedings.neurips.cc/paper/2017/file/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf)
* [U-Net](https://lmb.informatik.uni-freiburg.de/people/ronneber/u-net/)
* ResNet
* Diffusion Model
* GAN