Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free

[NeurIPS 2024 Spotlight]"LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS", Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang

[ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization

List of papers related to neural network quantization in recent AI conferences and journals.

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

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

Explorations into some recent techniques surrounding speculative decoding

[CVPR 2021] Exploring Sparsity in Image Super-Resolution for Efficient Inference

On-device LLM Inference Powered by X-Bit Quantization

(CVPR 2021, Oral) Dynamic Slimmable Network

[ECCV2022] Efficient Long-Range Attention Network for Image Super-resolution

📚 Collection of awesome generation acceleration resources.

[NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

Deep Face Model Compression

[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"

Official code repository for Sketch-of-Thought (SoT)