Abstract: Bearings are core components of rotating machinery, and their operating status monitoring and fault diagnosis are crucial for equipment health management. Accurately identifying fault ...

Abstract: This paper presents a novel double sparse dictionary learning method for the image upscaling which aim is to recover a high resolution image based on a given low resolution input. The ...

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This repository contains the official implementation for the paper "Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval" accepted to CIKM 2025 ...

Here I show you reinforcement learning (RL) examples to train (fine-tune) language models (LM). All these examples are implemented from scratch (manually) in a step-by-step manner (*1), and also shows ...