Natural Language Transduction
2 papers with code • 0 benchmarks • 0 datasets
Converting one sequence into another
Benchmarks
These leaderboards are used to track progress in Natural Language Transduction
You can find evaluation results in the subtasks. You can also
submitting
evaluation metrics for this task.
Most implemented papers
Learning to Transduce with Unbounded Memory
Recently, strong results have been demonstrated by Deep Recurrent Neural Networks on natural language transduction problems.
Semi-Supervised Neural Architecture Search
On ImageNet, it achieves 23. 5% top-1 error rate (under 600M FLOPS constraint) using 4 GPU-days for search.