Kaleido's Personal Page 2023!
Just A Private HomePage for Kaleido XD
Happy New Year 🥳🥳🥳
What's up?
2023/10/16
- A tiring weekend, read 3 LLM quantization article:
- [ICML23][SmoothQuant] An excellent LLM Quantization article SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models.
- [arxiv2305][LLM-QAT] A good LLM QAT article LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.
- [arxiv2306] A good Transformer quantization article Quantizable Transformers: Removing Outliers by Helping Attention Heads Do Nothing.
2023/9/28
- [ECCV20][DETR] Read a classic detection backbone End-to-End Object Detection with Transformers.
2023/9/20
- [CVPR17][PointNet] Read a classic 3D backbone PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.
2023/9/19
- Diving into 3D detection dataset Kitti and read pointpillars code in OpenPCDet.
2023/9/18
- [CVPR19][PointPillars] Read a classic 3D Detection paper PointPillars: Fast Encoders for Object Detection from Point Clouds.
2023/9/12
- [TC23][EcoFlow] Read half way an architecture papaer EcoFlow: Efficient Convolutional Dataflows on Low-Power Neural Network Accelerators. Barely understand this.
2023/9/5
- [IISWC21][STONNE] Finished reading a paper on AI accelerator simulator STONNE: Enabling Cycle-Level Microarchitectural Simulation for DNN Inference Accelerators.
2023/8/24
- [Algorithms23] Finished reading a suvery on AI accelerators Recent Developments in Low-Power AI accelerators: A survey.
2023/8/22
- [ACCESS19] Finished reading a survey scoped on hardware simulators. A Survey of Computer Architecture Simulation Techniques and Tools
2023/6/25
- Finished my Graduate Career!! 🥳🥳🥳
2023/6/19
- [CVPR23][PTQ4DM] Read a PTQ diffusion article Post-training Quantization on Diffusion Models.
2023/6/18
- [NeurIPS23 submission][Q-DM] Read a diffusion quantization article Q-DM: An Efficient Low-bit Quantized Diffusion Model.
2023/6/1
- Read a classic BNN-Transformer article BiT: Robustly Binarized Multi-distilled Transformer.
2023/5/21
- Continue to work on Proj Nine.
2023/5/18
- Finished Graduation Reply! Half Way Master of Engineering!! 🥳🥳🥳
2023/4/16
- [CADyQ] Read a garbage SR quantization article CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution.
- [XLSR] Read a classic light SR article Extremely Lightweight Quantization Robust Real-Time Single-Image Super Resolution for Mobile Devices.
2023/3/13
- [QT] Read a classic quantization article Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.
2023/2/3
- [SR-STE] Read a training method for N:M pruning Learning N: M Fine-grained Structured Sparse Neural Networks From Scratch.