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Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework

AAAI 2019 · Label-efficient and robust learning › Semi-supervised learning · approach: Safe and realistic semi-supervised learning · 8 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Add trained IMNsLSTM · Elec, IMDB, Rotten, RCV1error rate (%): 10.09 -> 8.83; 10.98 -> 10.04; 26.47 -> 24.93; 14.14 -> 12.31Helped
Add trained IMNsLM-LSTM · Elec, IMDB, Rotten, RCV1error rate (%): 5.72 -> 5.48; 7.25 -> 6.51; 16.80 -> 15.91; 8.37 -> 7.53Helped
Add trained IMNsADV-LM-LSTM · Elec, IMDB, Rotten, RCV1error rate (%): 5.38 -> 5.14; 6.58 -> 6.07; 15.73 -> 13.98; 7.89 -> 7.51Helped
Replace trained IMNs with random vectors (ablation)LSTM, LM-LSTM, and ADV-LM-LSTM · Elec, IMDB, Rotten, RCV1error rate (%): LSTM: 10.09 -> 9.87, 10.98 -> 10.75, 26.47 -> 27.27, 14.14 -> 14.04Mixed
Use IMN window sizes 1,2,3,4 rather than only window size 4 (ablation)ADV-LM-LSTM · Elecerror rate (%): 5.23 -> 5.14Helped
Remove the window-size-1 IMN (ablation)ADV-LM-LSTM + IMN (c_i=1,2,3,4) · Elecerror rate (%): 5.14 -> 5.18Hurt
Remove the window-size-1 and window-size-2 IMNs (ablation)ADV-LM-LSTM + IMN (c_i=1,2,3,4) · Elecerror rate (%): 5.14 -> 5.26Hurt
Add an IMN with window size 5 (ablation)ADV-LM-LSTM + IMN · Elec, IMDBerror rate (%): 5.14 -> 5.12; 6.07 -> 6.00Helped
Increase the IMN window size (ablation)ADV-LM-LSTM + IMN · Elec, IMDB, Rotten, RCV1error rate (%)Helped
Double the word embedding dimension (ablation)ADV-LM-LSTM · IMDBerror rate (%): degraded by 0.08 pointsHurt
Double the word embedding dimension (ablation)ADV-LM-LSTM · Elecerror rate (%): unchangedNo clear effect
Use ELMo embeddings instead of the RNN language-model initializationLSTM · IMDBerror rate (%): 8.67% versus 7.25Hurt

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