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Table 1: 

The performance of an RNN classifier using h alone as input, in comparison to the random baseline. Missing cells denote cases where we were unable to converge training.

ModelSST-2AGNewsIMDBEv.Inf.20NewsElec
Random baseline 50.0 25.0 50.0 33.33 5.0 50.0 
Lei et al. (2016) 59.7 41.4 69.11 33.45  60.75 
Bastings et al. (2019) 62.8 42.4   9.45  
FRESH 52.22 35.35 54.23 38.88 11.11 58.38 
ModelSST-2AGNewsIMDBEv.Inf.20NewsElec
Random baseline 50.0 25.0 50.0 33.33 5.0 50.0 
Lei et al. (2016) 59.7 41.4 69.11 33.45  60.75 
Bastings et al. (2019) 62.8 42.4   9.45  
FRESH 52.22 35.35 54.23 38.88 11.11 58.38 
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