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ResearchFormerly WizWand

Time-series forecasting on ETTm1 few-shot 10% data

0.41MSETIME-LLM
0.348720.762361.1761.58964Mar 31, 2026Apr 2, 2026Apr 4, 2026Apr 7, 2026Apr 9, 2026Apr 11, 2026Apr 14, 2026
Updated 6mo ago

Evaluation results

MethodLinks
TIME-LLMParameters (M)=6.46, Memory (MiB)=3907, Eff.*MSE=0.43, Eff.*MAE=0.402026.030.410.43
TESTParameters (M)=2.00, Memory (MiB)=701, Eff.*MSE=1.24, Eff.*MAE=1.262026.030.460.45
One-for-AllParameters (M)=0.55, Memory (MiB)=2.2, Eff.*MSE=4.37, Eff.*MAE=4.482026.030.470.44
GPT4TSParameters (M)=11.7, Memory (MiB)=371.0, Eff.*MSE=0.21, Eff.*MAE=0.212026.030.470.44
TimeSAFtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.4830.449
CALFtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.5040.462
FEDPMType=FL-FM, Horizon=1922026.040.5080.462
FEDPMType=FL-FM, Horizon=962026.040.5470.468
PatchTSTtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.5570.483
UniTimeType=Cen-FM, Horizon=1922026.040.5640.479
DLineartraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.5670.499
Time-FFMType=FL-FM, Horizon=962026.040.5710.481
FFTSType=FL-FM, Horizon=962026.040.5750.512
Time-FFMType=FL-FM, Horizon=1922026.040.5780.49
UniTimeType=Cen-FM, Horizon=3362026.040.5780.489
UniTimeType=Cen-FM, Horizon=962026.040.5820.485
Time-FFMType=FL-FM, Horizon=3362026.040.5920.504
TimeCMAtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.5940.504
FFTSType=FL-FM, Horizon=1922026.040.6010.521
GPT4TStraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.6080.5
FEDPMType=FL-FM, Horizon=7202026.040.6220.525
FEDPMType=FL-FM, Horizon=3362026.040.6250.516
Time-FFMType=FL-FM, Horizon=7202026.040.6290.526
UniTimeType=Cen-FM, Horizon=7202026.040.6310.523
Time-LLMtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.6360.512
FFTSType=FL-FM, Horizon=3362026.040.6420.54
TimesNettraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.6730.534
TimesNetParameters (M)=0.63, Memory (MiB)=2.9, Eff.*MSE=3.02, Eff.*MAE=3.462026.030.680.54
FEDformertraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.6960.572
EFDformerParameters (M)=16.8, Memory (MiB)=87.8, Eff.*MSE=0.12, Eff.*MAE=0.122026.030.720.61
FFTSType=FL-FM, Horizon=7202026.040.7250.588
TOTEMType=Cen-FM, Horizon=3362026.040.7880.599
TStationaryParameters (M)=2.02, Memory (MiB)=13.2, Eff.*MSE=0.88, Eff.*MAE=1.052026.030.80.58
AutoformerParameters (M)=10.53, Memory (MiB)=62.6, Eff.*MSE=0.13, Eff.*MAE=0.162026.030.80.63
TOTEMType=Cen-FM, Horizon=7202026.040.8030.608
TOTEMType=Cen-FM, Horizon=1922026.040.8220.611
TOTEMType=Cen-FM, Horizon=962026.040.8290.613
FL-PatchTSTType=FL-FM, Horizon=1922026.040.8950.568
MICNtraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.040.970.674
ETSformerParameters (M)=5.28, Memory (MiB)=31.4, Eff.*MSE=0.25, Eff.*MAE=0.312026.030.980.72
Cen-PatchTSTType=Cen-FM, Horizon=3362026.040.9870.637
FL-PatchTSTType=FL-FM, Horizon=3362026.041.0010.614
FL-PatchTSTType=FL-FM, Horizon=962026.041.0410.583
Cen-PatchTSTType=Cen-FM, Horizon=7202026.041.0440.666
FL-iTransformerType=FL-FM, Horizon=962026.041.050.64
FL-iTransformerType=FL-FM, Horizon=3362026.041.0760.67
Cen-PatchTSTType=Cen-FM, Horizon=1922026.041.1180.672
Cen-PatchTSTType=Cen-FM, Horizon=962026.041.1360.672
FL-iTransformerType=FL-FM, Horizon=1922026.041.1770.682
InformerParameters (M)=11.33, Memory (MiB)=65.8, Eff.*MSE=0.04, Eff.*MAE=0.092026.031.190.82
Crossformertraining_data=10%, lookback_length=96, prediction_horizons=H ∈ {96, 192, 336, 720}2026.041.340.848
FL-iTransformerType=FL-FM, Horizon=7202026.041.4180.764
ReformerParameters (M)=5.80, Memory (MiB)=33.4, Eff.*MSE=0.08, Eff.*MAE=0.092026.031.430.86
FL-PatchTSTType=FL-FM, Horizon=7202026.041.9420.822