conftrace_
← Architectures
Deep Learning › Architectures ›

Neural Networks

11,300 papers

Papers per year

Papers

The Transfer of Human Trust in Robot Capabilities across Tasks RSS 2018
Agile Autonomous Driving using End-to-End Deep Imitation Learning RSS 2018
ISCLAB at SemEval-2018 Task 1: UIR-Miner for Affect in Tweets SEMEVAL 2018
Zewen at SemEval-2018 Task 1: An Ensemble Model for Affect Prediction in Tweets SEMEVAL 2018
RIDDL at SemEval-2018 Task 1: Rage Intensity Detection with Deep Learning SEMEVAL 2018
ECNU at SemEval-2018 Task 2: Leverage Traditional NLP Features and Neural Networks Methods to Address Twitter Emoji Prediction Task 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
Tweety at SemEval-2018 Task 2: Predicting Emojis using Hierarchical Attention Neural Networks and Support Vector Machine SEMEVAL 2018
NEUROSENT-PDI at SemEval-2018 Task 3: Understanding Irony in Social Networks Through a Multi-Domain Sentiment Model SEMEVAL 2018
NIHRIO at SemEval-2018 Task 3: A Simple and Accurate Neural Network Model for Irony Detection in Twitter SEMEVAL 2018
IIIDYT at SemEval-2018 Task 3: Irony detection in English tweets SEMEVAL 2018
HashCount at SemEval-2018 Task 3: Concatenative Featurization of Tweet and Hashtags for Irony Detection SEMEVAL 2018
Random Decision Syntax Trees at SemEval-2018 Task 3: LSTMs and Sentiment Scores for Irony Detection SEMEVAL 2018
ELiRF-UPV at SemEval-2018 Tasks 1 and 3: Affect and Irony Detection in Tweets SEMEVAL 2018
IronyMagnet at SemEval-2018 Task 3: A Siamese network for Irony detection in Social media SEMEVAL 2018
ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods SEMEVAL 2018
NTUA-SLP at SemEval-2018 Task 3: Tracking Ironic Tweets using Ensembles of Word and Character Level Attentive RNNs SEMEVAL 2018
YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter SEMEVAL 2018
Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection SEMEVAL 2018
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron SEMEVAL 2018
NLPRL-IITBHU at SemEval-2018 Task 3: Combining Linguistic Features and Emoji pre-trained CNN for Irony Detection in Tweets SEMEVAL 2018
KNU CI System at SemEval-2018 Task4: Character Identification by Solving Sequence-Labeling Problem SEMEVAL 2018
ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction SEMEVAL 2018