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Deep Learning

66,648 papers (25 classified directly here)

Subtopics

Learning Types (28,663) Architectures (27,448) Models (16,617) Techniques (8,241) Optimization & Theory (6,829) Application Areas (46)

Papers per year

2
65
428
6150
10854
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Papers (including subtopics)

Linguistic representations in multi-task neural networks for ellipsis resolution EMNLP 2018
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models EMNLP 2018
Can LSTM Learn to Capture Agreement? The Case of Basque EMNLP 2018
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks EMNLP 2018
Evaluating the Ability of LSTMs to Learn Context-Free Grammars EMNLP 2018
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style EMNLP 2018
‘Indicatements’ that character language models learn English morpho-syntactic units and regularities EMNLP 2018
LISA: Explaining Recurrent Neural Network Judgments via Layer-wIse Semantic Accumulation and Example to Pattern Transformation EMNLP 2018
An Operation Sequence Model for Explainable Neural Machine Translation EMNLP 2018
Introspection for convolutional automatic speech recognition EMNLP 2018
What do RNN Language Models Learn about Filler–Gap Dependencies? EMNLP 2018
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items EMNLP 2018
Closing Brackets with Recurrent Neural Networks EMNLP 2018
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models EMNLP 2018
Importance of Self-Attention for Sentiment Analysis EMNLP 2018
An Analysis of Encoder Representations in Transformer-Based Machine Translation EMNLP 2018
Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation EMNLP 2018
Context-Free Transductions with Neural Stacks EMNLP 2018
Learning Explanations from Language Data EMNLP 2018
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System EMNLP 2018
Predicting and interpreting embeddings for out of vocabulary words in downstream tasks EMNLP 2018
Probing sentence embeddings for structure-dependent tense EMNLP 2018
Interpretable Word Embedding Contextualization EMNLP 2018
State Gradients for RNN Memory Analysis EMNLP 2018
Extracting Syntactic Trees from Transformer Encoder Self-Attentions EMNLP 2018