Enhancing Time-series forecasting performance with simple transformation. The repo is the official implementation for the paper: Time-o1: Time-series Forecasting Needs Transformed Label Alignment. We ...

Abstract: Multi-label classification is a fundamental task that requires predicting all applicable labels for each sample. Previous methods often rely heavily on training models with large-scale multi ...

Abstract: Multi-label image classification, which involves recognizing multiple objects within a single image, is a fundamental task in computer vision. Recently, Visual-Language Models (VLMs) have ...

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The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...

Malaysian authorities have announced legal action against Elon Musk's social media platform X and its AI unit xAI Research assistant professor with the UM Institute for Firearm Injury Prevention, ...