Tunable Sensitivity to Large Errors in Neural Network Training
Tunable Sensitivity to Large Errors in Neural Network Training
When humans learn a new concept, they might ignore examples that they cannot make sense of at first, and only later focus on such examples, when they are more useful for learning. We propose incorporating this idea of tunable sensitivity for hard examples in neural network learning, using a new …