2 citations · 2 across the 6 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.DC2026
PEAT: Pseudo-Error Assessment for GPU Kernel Validation in DNN Training
Xuan Truong Nguyen, Hong Quan Tran, Tuan Duc Chu +1
Deep neural networks (DNNs) are widely adopted in various fields, driving an emerging trend in developing software stacks associated with DNN training systems. For example, many co…
cs.CV2026
Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
Ibrohimjon Muminov, Jihie Kim
Real-world detectors must often interpret functional or ambiguous prompts, yet conventional models such as YOLO remain restricted to fixed class lists. Even open-vocabulary models…