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We know that flash attention supports `cu_seqlens`, which can remove padding for variable-length input in a batch and only store regular tokens. This can be useful for optimizing the computational eff…
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I'm finding that training a 1-expert dMoE (brown) has worse training loss than an otherwise equivalent dense model (green). Is there some reason why this difference is expected or can I expect them to…
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I'd like to implement a graph attention mechanism a la [this paper](http://arxiv.org/abs/1710.10903).
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In **2.2. Attention Mechanisms** of this paper mentations:
"our approach considers a more efficient way of capturing positional information and **channel-wise relationships** to augment the feature …
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In our codebase, we may currently employ custom layers, such as attention mechanisms, that are non-native to PyTorch. With recent advancements, these functionalities are now available natively within …
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*In this paper, we propose the Attention on Attention
(AoA) module, an extension to conventional attention
mechanisms, to address the irrelevant attention issue. Fur-
thermore, we propose AoANet fo…
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In table 3, changing attention (mul) to add reduces VAN performance from 75.4 to 74.6. I think this is really huge. However, in the ablation study, you stated that "Besides, replacing attention with a…
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## 論文URL
https://arxiv.org/abs/2201.10801
## 著者
Guangting Wang, Yucheng Zhao, Chuanxin Tang, Chong Luo, Wenjun Zeng
## 会議
accepted by AAAI-22
## 背景
ViT自体は優れた成果を示しているが、何がそんなに有効だという…
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Hi, I am wondering if I can specify the local or global attention mechanism by ur codes?
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@OmarMAmin mentioned [Exploring Heterogeneous Metadata for Video Recommendation with
Two-tower Model](https://assets.amazon.science/1e/e6/4d7f8a2741a4a3b148e20a953946/exploring-heterogeneous-metadata…