1994, in 1 pieces
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March 1
Yoshua Bengio, Patrice Simard, Paolo Frasconi
Learning long-term dependencies with gradient descent is difficult
Confirmed in theory and experiments that recurrent neural networks struggle to learn long-term dependencies, motivating the development of later architectures