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NeurIPS 2026MeituanU Hong Kong-kuaishou techInstitute of automation, ChineseEfficient inference & serving

SnapMLA: Efficient Long-Context MLA Decoding via Hardware-Aware FP8 Quantized Pipelining

SnapMLA improves long-context MLA decoding throughput up to 1.91x via hardware-aware FP8 quantization and pipeline optimization while preserving benchmark quality.

Yifan Zhang, Zunhai Su, Shuhao Hu, YangRui and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 2/5
medium 6/10
strict 0/5
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NeurIPS 2026-INSA Rouen NormandyRepresentation & contrastive learning

Partition Tree: Conditional Density Estimation over General Outcome Spaces

Partition Tree is a tree-based framework for conditional density estimation over general outcome spaces that learns by minimizing negative log-likelihood. It yields a scalable nonparametric alternative to probabilistic trees with improved predictive performance.

Felipe Lourenco Angelim Vieira, Alessandro Leite

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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4/20 AI panelreviewers recommend it

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AI panel: 4 of 20 reviewers recommend it
lenient 3/5
medium 1/10
strict 0/5