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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)

What can we learn from Semantic Tagging? EMNLP 2018
State-of-the-art Chinese Word Segmentation with Bi-LSTMs EMNLP 2018
Sanskrit Sandhi Splitting using seq2(seq)2 EMNLP 2018
Unsupervised Neural Word Segmentation for Chinese via Segmental Language Modeling EMNLP 2018
LemmaTag: Jointly Tagging and Lemmatizing for Morphologically Rich Languages with BRNNs EMNLP 2018
Recovering Missing Characters in Old Hawaiian Writing EMNLP 2018
When data permutations are pathological: the case of neural natural language inference EMNLP 2018
Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference EMNLP 2018
Towards Semi-Supervised Learning for Deep Semantic Role Labeling EMNLP 2018
Grammar Induction with Neural Language Models: An Unusual Replication EMNLP 2018
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM EMNLP 2018
Juman++: A Morphological Analysis Toolkit for Scriptio Continua EMNLP 2018
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing EMNLP 2018
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package EMNLP 2018
CytonMT: an Efficient Neural Machine Translation Open-source Toolkit Implemented in C++ EMNLP 2018
OpenKE: An Open Toolkit for Knowledge Embedding EMNLP 2018
Universal Sentence Encoder for English EMNLP 2018
When does deep multi-task learning work for loosely related document classification tasks? EMNLP 2018
Analyzing Learned Representations of a Deep ASR Performance Prediction Model EMNLP 2018
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures EMNLP 2018
Nightmare at test time: How punctuation prevents parsers from generalizing EMNLP 2018
Evaluating Textual Representations through Image Generation EMNLP 2018
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis EMNLP 2018
Jump to better conclusions: SCAN both left and right EMNLP 2018
Understanding Convolutional Neural Networks for Text Classification EMNLP 2018