2 papers
cs.CV2026
Jano: Adaptive Diffusion Generation with Early-stage Convergence Awareness
Yuyang Chen, Linqian Zeng, Yijin ZHou +2
Diffusion models have achieved remarkable success in generative AI, yet their computational efficiency remains a significant challenge, particularly for Diffusion Transformers (DiT…
cs.LG2026
How Out-of-Distribution Detection Learning Theory Enhances Transformer: Learnability and Reliability
Yijin Zhou, Yutang Ge, Wenyuan Xie +3
Transformers excel in natural language processing and computer vision tasks. However, they still face challenges in generalizing to Out-of-Distribution (OOD) datasets, i.e. data wh…