NEURIPS "linear attention" Papers

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Alias-Free ViT: Fractional Shift Invariance via Linear Attention

Hagay Michaeli, Daniel Soudry

NEURIPS 2025posterarXiv:2510.22673

CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up

Songhua Liu, Zhenxiong Tan, Xinchao Wang

NEURIPS 2025posterarXiv:2412.16112

Degrees of Freedom for Linear Attention: Distilling Softmax Attention with Optimal Feature Efficiency

Naoki Nishikawa, Rei Higuchi, Taiji Suzuki

NEURIPS 2025posterarXiv:2507.03340

Exploring Diffusion Transformer Designs via Grafting

Keshigeyan Chandrasegaran, Michael Poli, Dan Fu et al.

NEURIPS 2025oralarXiv:2506.05340

Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search

Yuxian Gu, Qinghao Hu, Haocheng Xi et al.

NEURIPS 2025posterarXiv:2508.15884

Learning Linear Attention in Polynomial Time

Morris Yau, Ekin Akyürek, Jiayuan Mao et al.

NEURIPS 2025oralarXiv:2410.10101

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers

Zeyuan Allen-Zhu

NEURIPS 2025posterarXiv:2512.17351

ZeroS: Zero‑Sum Linear Attention for Efficient Transformers

Jiecheng Lu, Xu Han, Yan Sun et al.

NEURIPS 2025spotlight