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Learning Entailment-Based Sentence Embeddings from Natural Language Inference
Large datasets on natural language inference are a potentially valuable resource for inducing semantic representations of natural language sentences.
On the Tunability of Optimizers in Deep Learning
There is no consensus yet on the question whether adaptive gradient methods like Adam are easier to use than non-adaptive optimization methods like SGD.
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