Tag: causal machine learning
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InstrAct: Enhancing Action Understanding in Instructional Videos
InstrAct improves action-centric understanding in instructional videos by addressing static bias and noisy data, boosting Video Foundation Models' accuracy...
What Models Learn from Preference Pairs in AI Training
Explore how preference pairs and quality delta improve AI models' reasoning. Learn key strategies for optimizing language model performance.
Deep Learning for Ligament Breakup Tracking & Lineage
Discover a deep learning framework for tracking ligament breakup and reconstructing lineage, enhancing fluid dynamics analysis with high accuracy.
Quantifying Uncertainty in LLM Multi-Agent Systems via Tensor
Discover how tensor decomposition quantifies uncertainty in LLM-based multi-agent systems, improving reliability across complex communication patterns.
VOLTA: Rethinking Auxiliary Losses in Deep Learning Calibration
Discover how VOLTA outperforms traditional UQ methods, proving auxiliary losses less effective for calibrated deep learning and OOD detection.