Sequential Image Classification on Sequential CIFAR-10

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Unpermuted Accuracy

Rank	Model	Unpermuted Accuracy	Paper	Code	Year
1	MultiresConv	93.15%	Sequence Modeling with Multiresolution Convolutional Memory	thjashin/multires-conv	2023
2	S4	91.80%	Efficiently Modeling Long Sequences with Structured State Spaces	state-spaces/s4 · srush/annotated-s4 · ag1988/dss · +5	2021
3	LRU	89.0	Resurrecting Recurrent Neural Networks for Long Sequences	Gothos/LRU-pytorch · nicolaszucchet/minimal-lru · sustcsonglin/pytorch_linear_rnn · +8	2023
4	SMPConv	84.86%	SMPConv: Self-moving Point Representations for Continuous Convolution	sangnekim/smpconv	2023
5	LSSL	84.65%	Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers	hazyresearch/state-spaces · ag1988/dss	2021
6	FlexTCN-6	80.82%	FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes	rjbruin/flexconv	2021
7	UR-GRU	74.4%	Improving the Gating Mechanism of Recurrent Neural Networks	aithlab/ImprovingGate	2019
8	Trellis Network	73.42%	Trellis Networks for Sequence Modeling	locuslab/trellisnet	2018
9	Sparse Combo Net	65.72	RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks	ennisthemennis/sparse-combo-net	2021
10	LipschitzRNN	64.2	Lipschitz Recurrent Neural Networks	erichson/LipschitzRNN	2020
11	CKCNN (1M)	63.74%	CKConv: Continuous Kernel Convolution For Sequential Data	dwromero/ckconv	2021
12	CKCNN (100k)	62.25%	CKConv: Continuous Kernel Convolution For Sequential Data	dwromero/ckconv	2021
13	Transformer (self-attention) (Trinh et al., 2018)	62.2%	Learning Longer-term Dependencies in RNNs with Auxiliary Losses	younggyoseo/rnn-auxiliary-loss	2018