Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Yoshua Bengio, Nicholas Léonard, Aaron Courville
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Citation edge evidence
- Language Models are Few-Shot Learners→Estimating or Propagating Gradients Through Stochastic Neurons for Conditional ComputationLegacy edge — source detail unavailable
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
- Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation→Improving neural networks by preventing co-adaptation of feature detectorsLegacy edge — source detail unavailable
- Improving neural networks by preventing co-adaptation of feature detectors→Learning representations by back-propagating errorsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Learning representations by back-propagating errors | 1986 | 31,688 |
| Improving neural networks by preventing co-adaptation of feature detectors | 2012 | 6,653 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Language Models are Few-Shot Learners | 2020 | 3,020 |
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Topics
| Stochastic Gradient Optimization Techniques | Computer Science |
| Neural Networks and Applications | Computer Science |
| Markov Chains and Monte Carlo Methods | Mathematics |
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