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Conference Oct 2026

Dual distillation and distribution-aware memory replay with self-learning for class-incremental learning

A dual knowledge distillation with clustering-based memory selection for class-incremental learning is proposed, which excavates the multi-modal structure within each class to improve the coverage of the replayed samples over the true data distribution and enhance the robustness of the memory buffer to feature drift.

Fei Yi, Jian Cheng, Zi-Ying Xia et al. · 0 citations
Jul 2026

MXAttention: Data-Free Optimal Scaling and Pre-Normalization Quantization for MXFP4 Attention

The quadratic cost of attention is a major bottleneck in diffusion-based video generation models. MXFP4 attention provides a promising path toward efficient inference, but direct MXFP4 quantization often degrades generation quality due to two numerical issues: the clipping-underflow trade-off from power-of-two scaling...

Jianlin Yu, Jing Lin, Linghui Kong et al. · 0 citations

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