# LongConv

- [Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/001.md)
- [Parallelizing Legendre Memory Unit Training](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/002.md)
- [Simplified State Space Layers for Sequence Modeling](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/003.md)
- [Pretraining Without Attention](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/004.md)
- [What Makes Convolutional Models Great on Long Sequence Modeling?](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/005.md)
- [Hungry Hungry Hippos: Towards Language Modeling with State Space Models](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/006.md)
- [Hyena Hierarchy: Towards Larger Convolutional Language Models](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/007.md)
- [RWKV](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/008.md)
- [Simple Hardware-Efficient Long Convolutions for Sequence Modeling](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/009.md)
- [Time-aware large kernel convolutions](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/010.md)
- [Resurrecting Recurrent Neural Networks for Long Sequences](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/011.md)
- [CKConv: Continuous Kernel Convolution For Sequential Data](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/012.md)
- [FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/013.md)
- [Towards a General Purpose CNN for Long Range Dependencies in ND](https://doraemonzzz.gitbook.io/transformer_evolution_paper/longconv/014.md)


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