incompleteness divergence 1missing data robustness 1multi-view learning 1train-once learning 1transformer architecture 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC
Haolu Liu, Xiyue Wang, Xuanting Xie +2
The paper identifies that identical missing-data rates can hide large differences in the amount of fully observed samples, causing a vulnerability they call incompleteness divergen…
cs.CL2026
From Tags to Trees: Structuring Fine-Grained Knowledge for Controllable Data Selection in LLM Instruction Tuning
Zihan Niu, Wenping Hu, Junmin Chen +3
Effective and controllable data selection is critical for LLM instruction tuning, especially with massive open-source datasets. Existing approaches primarily rely on instance-level…
cs.RO2025
U-DiT Policy: U-shaped Diffusion Transformers for Robotic Manipulation
Linzhi Wu, Aoran Mei, Xiyue Wang +2
Diffusion-based methods have been acknowledged as a powerful paradigm for end-to-end visuomotor control in robotics. Most existing approaches adopt a Diffusion Policy in U-Net arch…