Tag: causal machine learning
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Universal Defect Generation Model with Large-Scale Dataset
Discover UniDG, a universal defect generation model using a 300K dataset for improved defect editing and anomaly detection without fine-tuning.
Causal Inference in Graph Representation Learning Explained
Explore how causal inference enhances graph representation learning by addressing aggregation challenges and improving model validity.
HM-Bench: Benchmarking Multimodal LLMs for Hyperspectral Imaging
Discover HM-Bench, the first benchmark evaluating multimodal large language models on hyperspectral remote sensing data for advanced spectral analysis.
Temporal Dropout Risk Benchmark in Learning Analytics
Explore a harmonized survival benchmark for predicting temporal dropout risk using dynamic and early-window models in learning analytics.
HiFloat4 FP4 Format Boosts Language Model Training on Ascend NPUs
Discover how HiFloat4 FP4 format enhances language model pre-training on Ascend NPUs with improved efficiency and memory savings.