3260 papers • 126 benchmarks • 313 datasets
Converting one sequence into another
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This paper proposes SemiNAS, a semi-supervised NAS approach that leverages numerous unlabeled architectures (without evaluation and thus nearly no cost) to improve the controller and achieves higher accuracy under the same computational cost.
This paper proposes new memory-based recurrent networks that implement continuously differentiable analogues of traditional data structures such as Stacks, Queues, and DeQues and shows that these architectures exhibit superior generalisation performance to Deep RNNs and are often able to learn the underlying generating algorithms in the transduction experiments.
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