P. Simard
AT&T (United States)
1 paper in the Anchorcite directory, published in 1994, cited 8,719 times in total.
ORCID profileResearch topics
- Neural Networks and Applications · 1 paper
- Domain Adaptation and Few-Shot Learning · 1 paper
- Machine Learning and Data Classification · 1 paper
Frequent co-authors
- Yoshua Bengio · 1 paper
- Paolo Frasconi · 1 paper
Papers
- Learning long-term dependencies with gradient descent is difficultIEEE Transactions on Neural Networks · 1994 · 8,719 citations
Recurrent neural networks can be used to map input sequences to output sequences, such as for recognition, production or prediction problems. However, practical difficulties have been reported in training recurrent neural networks to perform tasks in which the temporal contingencies…
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