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Linear Attention
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Linear Attention

Creator
Creator
Seonglae ChoSeonglae Cho
Created
Created
2026 Jun 25 16:15
Editor
Editor
Seonglae ChoSeonglae Cho
Edited
Edited
2026 Oct 30 10:46
Refs
Refs

Linear Attention은 Key와 Value의 outer product를 누적해 메모리를 구성

 
 
 
 
2020
Transformers are RNNs: Fast Autoregressive Transformers with...
Transformers achieve remarkable performance in several tasks but due to their quadratic complexity, with respect to the input's length, they are prohibitively slow for very long sequences. To...
Transformers are RNNs: Fast Autoregressive Transformers with...
https://arxiv.org/abs/2006.16236
Transformers are RNNs: Fast Autoregressive Transformers with...
moonshotai/Kimi-Linear-48B-A3B-Instruct · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
moonshotai/Kimi-Linear-48B-A3B-Instruct · Hugging Face
https://huggingface.co/moonshotai/Kimi-Linear-48B-A3B-Instruct
moonshotai/Kimi-Linear-48B-A3B-Instruct · Hugging Face

Triadic Linear Attention 2026

Linear Attention의 2차원 메모리 상태를 3차원 텐서로 확장해 표현력을 높이는 방법
Triadic Linear Attention: Three-Dimensional Recurrent States for...
Recurrent neural networks (RNNs) compress the historical context into a memory state of fixed size, thus allowing for constant-time inference. The memory state size is a crucial factor in their...
Triadic Linear Attention: Three-Dimensional Recurrent States for...
https://arxiv.org/abs/2609.36529
Triadic Linear Attention: Three-Dimensional Recurrent States for...
 
 

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Linear Attention
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