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Techniques

8,241 papers (36 classified directly here)

Subtopics

Model Architecture (4,354) Pretraining (2,483) Attention (1,111) Normalization (341) Attention Mechanism (150)

Papers per year

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Papers (including subtopics)

Higher-Order Coreference Resolution with Coarse-to-Fine Inference NAACL 2018
Gated Multi-Task Network for Text Classification NAACL 2018
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction NAACL 2018
Hierarchical neural model with attention mechanisms for the classification of social media text related to mental health NAACL 2018
CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons SEMEVAL 2018
TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture SEMEVAL 2018
NTUA-SLP at SemEval-2018 Task 2: Predicting Emojis using RNNs with Context-aware Attention SEMEVAL 2018
YNU-HPCC at SemEval-2018 Task 2: Multi-ensemble Bi-GRU Model with Attention Mechanism for Multilingual Emoji Prediction SEMEVAL 2018
SyntNN at SemEval-2018 Task 2: is Syntax Useful for Emoji Prediction? Embedding Syntactic Trees in Multi Layer Perceptrons SEMEVAL 2018
YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension SEMEVAL 2018
BLCU_NLP at SemEval-2018 Task 12: An Ensemble Model for Argument Reasoning Based on Hierarchical Attention SEMEVAL 2018
Saliency-based Sequential Image Attention with Multiset Prediction NIPS 2017
High-Order Attention Models for Visual Question Answering NIPS 2017
Differentiable Learning of Submodular Models NIPS 2017
Training Quantized Nets: A Deeper Understanding NIPS 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization NIPS 2017
A Regularized Framework for Sparse and Structured Neural Attention NIPS 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples NIPS 2017
Riemannian approach to batch normalization NIPS 2017
Attention is All you Need NIPS 2017
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee NIPS 2017
Deep Hyperspherical Learning NIPS 2017
Self-Normalizing Neural Networks NIPS 2017
Visual Reference Resolution using Attention Memory for Visual Dialog NIPS 2017
Attentional Pooling for Action Recognition NIPS 2017