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20192026
most citedFinite-Sample Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation

7 citations · 8 across the 4 of their papers we have counts for

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cs.CV2026

ADOPD: Reference-Privileged On-Policy Distillation for MLLM-Based Industrial Anomaly Detection

Jingtai He, Shiyuan Meng, Wenchao Meng +1

Industrial anomaly detection (IAD) requires identifying fine-grained deviations from normal visual patterns. Multimodal large language models (MLLMs) can improve recognition accura…