# Others

- [Synthesizer: Rethinking Self-Attention in Transformer Models](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/001.md)
- [Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kern](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/002.md)
- [Combiner Full Attention Transformer with Sparse Computation Cost](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/003.md)
- [Ripple Attention for Visual Perception with Sub-quadratic Complexity](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/004.md)
- [Sinkformers: Transformers with Doubly Stochastic Attention](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/005.md)
- [SOFT: Softmax-free Transformer with Linear Complexity](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/006.md)
- [Value-aware Approximate Attention](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/007.md)
- [EL-Attention: Memory Efficient Lossless Attention for Generation](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/008.md)
- [Flowformer: Linearizing Transformers with Conservation Flows](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/009.md)
- [ETSformer: Exponential Smoothing Transformers for Time-series Forecasting](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/010.md)
- [IGLOO: Slicing the Features Space to Represent Sequences](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/011.md)
- [Swin Transformer V2: Scaling Up Capacity and Resolution](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/012.md)
- [Skip-Attention: Improving Vision Transformers by Paying Less Attention](https://doraemonzzz.gitbook.io/transformer_evolution_paper/mha/others/013.md)


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