model-compression topic

(NeurIPS-2019 MicroNet Challenge - 3rd Winner) Open source code for "SIPA: A simple framework for efficient networks"

Lee-Gihun

A directory with some interesting research paper summaries in the field of Deep Learning

bhavanajain

The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction

pratyushasharma

Cheng-Hao Tu, Jia-Hong Lee, Yi-Ming Chan and Chu-Song Chen, "Pruning Depthwise Separable Convolutions for MobileNet Compression," International Joint Conference on Neural Networks, IJCNN 2020, July 20...

ivclab

QuantEase, a layer-wise quantization framework, frames the problem as discrete-structured non-convex optimization. Our work leverages Coordinate Descent techniques, offering high-quality solutions wit...

linkedin

Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)

cliang1453

[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization

SqueezeAILab

Code for paper "Channel Pruning Guided by Spatial and Channel Attention for DNNs in Intelligent Edge Computing"

fangvv

模型压缩的小白入门教程

datawhalechina

[ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective

diaoenmao