In this work, we propose a compact model using a sliding-window attention network (SWAN). The SWAN is trained to regress the spectral magnitude mask (SMM) from the noisy speech signal. Our experimental results demonstrate that the proposed approach achieves comparable perfor...
I roughly implemented sliding window attention here:https://github.com/arlo-phoenix/llama.cpp/tree/gemma2 the branch is already rebased on#8197so this should fix all gemma2 bugs. No idea if it's correct, output isn't great yet. But it doesn't completely break like it does without it....
Hello! The paper indeed shows 4 forms of attention: a) Dense attention. b) Window attention. c) Window attention with re-calculations. d) Window attention with sink tokens. And I only benchmark 3 of these: a (transformers), b (windowed) and d (attention_sinks). The only missing one ...
It is the second option we use in this paper. Since in SW1PerS the sliding window point cloud has been pointwise mean-centered and normalized, it follows that it lies on the surface of the unit sphere in RM+1. Hence we measure distance between two such points x, y via the angle ...
In response to this need, we explore in this paper an effective sliding-window filtering (abbreviatedly as SWF) algorithm for incremental mining of association rules. In essence, by partitioning a transaction database into several partitions, algorithm SWF employs a filtering threshold in each ...
Parallelizing skyline queries over uncertain data streams with sliding window partitioning and grid index. Knowl. Inf. Syst. Nov 2014; 41(2):277-309.Li, X., Wang, Y., Li, X., Wang, Y.: Parallelizing skyline queries over uncertain data streams with sliding window partitioning and grid ...
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I have been looking at this code for a while and reviewing the mistral paper, and I think this is an implementation of the rolling buffer cache rather than sliding window attention. As far as I can tell, mistral has the same sliding window of 4096 tokens on each layer. Knowing that, it...
this problem troubled me for a long time when im reading this paper,here is what i thought: Two Key Steps in Sliding Window Re-computation In sliding window re-computation, the key to deriving the time complexity lies in the following tw...