Abstract: Neural network quantization aims at reducing bit-widths of weights and activations for memory and computational efficiency. Since a linear quantizer (i.e., round(·) function) cannot well fit ...

Neetcode 150 is a curated list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures. Mainly practicing in C, C++, Rust, Python ...

Introduction Cancer symptom monitoring and management interventions can address concerns that may otherwise go undertreated. However, such programmes and their evaluations remain largely limited to ...

TL;DR NILUT uses neural representations for controllable photorealistic image enhancement. 🚀 Demo Tutorial and pretrained models available. Try it on colab! 3D lookup tables (3D LUTs) are a key ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...

Abstract: This paper presents and tests a one-node method for implementing smart grid functions to operate residential loads. The proposed method is developed based on adjusting the power demands of ...