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Zi-Yang Ding

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#artificial intelligence Preprint Sep 2026

UniAfford: Token-Routed Multitask Learning for Generalizable 2D-3D Affordance Perception

Affordance perception aims to localize actionable regions supporting embodied interaction, yet 2D and 3D affordance grounding have evolved as separate problems, with different task definitions, supervision formats, datasets, and evaluation protocols. This fragmentation limits the learning of transferable object-afforda...

Yu-Hao Liu, Yi-Ming Zhong, Han-Qing Wang et al. · 0 citations
#machine learning Preprint Sep 2026

Unbiased Top-$k$ Estimation for On-Policy Distillation

Tail-Corrected Top-$k$ On-Policy Distillation (TT-OPD) is proposed, which preserves the advantages of TK-OPD, including rich distributional supervision and low computational cost, while providing an unbiased estimator of the gradient of the reverse KL divergence.

Lin-Jian Meng, Si-Yuan Gan, Yu-Hang Li et al. · 0 citations

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