NeurIPS 2025 "post-training quantization" Papers

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GPLQ: A General, Practical, and Lightning QAT Method for Vision Transformers

Guang Liang, Xinyao Liu, Jianxin Wu

NeurIPS 2025posterarXiv:2506.11784
4
citations

Quantization Error Propagation: Revisiting Layer-Wise Post-Training Quantization

Yamato Arai, Yuma Ichikawa

NeurIPS 2025posterarXiv:2504.09629
7
citations

VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-bit Diffusion Transformers

Qinkai XU, yijin liu, YangChen et al.

NeurIPS 2025oral