272 citations · 589 across the 14 of their papers we have counts for
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cs.LG2023★ 11 cited
Dataset balancing can hurt model performance
R. Channing Moore, Daniel P. W. Ellis, Eduardo Fonseca +3
Machine learning from training data with a skewed distribution of examples per class can lead to models that favor performance on common classes at the expense of performance on ra…
cs.LG2015★ 272 cited
Feed-Forward Networks with Attention Can Solve Some Long-Term Memory Problems
Colin Raffel, Daniel P. W. Ellis
We propose a simplified model of attention which is applicable to feed-forward neural networks and demonstrate that the resulting model can solve the synthetic "addition" and "mult…