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Conference Oct 2026

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

Class-Incremental Learning (CIL) aims to enable models to continuously learn new classes while retaining knowledge of previously learned classes. However, due to the severe imbalance between the number of new and old class samples during incremental stages, and the inconsistent supervision mechanisms employed by existi...

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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