ML Research Wiki / Benchmarks / Time Series Classification / EigenWorms

EigenWorms

Time Series Classification Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: % Test Accuracy

Top Performing Models

Rank Model Paper % Test Accuracy Date Code
1 LEM Long Expressive Memory for Sequence Modeling 92.30 2021-10-10 📦 tk-rusch/lem
2 UnICORNN UnICORNN: A recurrent model for learning very long time dependencies 90.30 2021-03-09 📦 tk-rusch/unicornn
3 coRNN UnICORNN: A recurrent model for learning very long time dependencies 86.70 2021-03-09 📦 tk-rusch/unicornn
4 NRDE Neural Rough Differential Equations for Long Time Series 83.80 2020-09-17 📦 patrick-kidger/torchcde 📦 jambo6/neuralCDEs-via-logODEs 📦 jambo6/neuralRDEs 📦 benjamin-walker/log-neural-cdes
5 GRU Parallelizing non-linear sequential models over the sequence length 82.10 2023-09-21 📦 machine-discovery/deer 📦 lindermanlab/elk
6 IndRNN UnICORNN: A recurrent model for learning very long time dependencies 49.70 2021-03-09 📦 tk-rusch/unicornn
7 TSEM TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series 42.00 2022-05-25 📦 a11to1n3/tsem
8 expRNN UnICORNN: A recurrent model for learning very long time dependencies 40.00 2021-03-09 📦 tk-rusch/unicornn

All Papers (8)

tk-rusch/lem
tk-rusch/unicornn
tk-rusch/unicornn
patrick-kidger/torchcde jambo6/neuralCDEs-via-logODEs
machine-discovery/deer lindermanlab/elk
tk-rusch/unicornn
a11to1n3/tsem
tk-rusch/unicornn