conftrace_
← Deep Learning
Deep Learning ›

Architectures

27,448 papers (33 classified directly here)

Subtopics

Neural Networks (11,723) Transformers (10,397) Graph Neural Networks (4,522) Autoencoders (1,154) Convolutional Neural Networks (973) Recurrent Neural Networks (593) Generative Adversarial Networks (18) Encoder-Decoder (14)

Papers per year

27
213
2915
3174
'10
'15
'20
'25

Papers (including subtopics)

A Gated Self-attention Memory Network for Answer Selection IJCNLP 2019
Abstract Text Summarization: A Low Resource Challenge IJCNLP 2019
Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation IJCNLP 2019
Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition IJCNLP 2019
Learning with Noisy Labels for Sentence-level Sentiment Classification IJCNLP 2019
Multi-Task Stance Detection with Sentiment and Stance Lexicons IJCNLP 2019
A deep-learning framework to detect sarcasm targets IJCNLP 2019
Restoring ancient text using deep learning: a case study on Greek epigraphy IJCNLP 2019
STANCY: Stance Classification Based on Consistency Cues IJCNLP 2019
Applying BERT to Document Retrieval with Birch IJCNLP 2019
Automatic Taxonomy Induction and Expansion IJCNLP 2019
Multilingual, Multi-scale and Multi-layer Visualization of Intermediate Representations IJCNLP 2019
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego IJCNLP 2019
Advances in Automatic Speech Recognition for Child Speech Using Factored Time Delay Neural Network INTERSPEECH 2019
Ultrasound Tongue Imaging for Diarization and Alignment of Child Speech Therapy Sessions INTERSPEECH 2019
Fusion Techniques for Utterance-Level Emotion Recognition Combining Speech and Transcripts INTERSPEECH 2019
Explaining Sentiment Classification INTERSPEECH 2019
Predicting Group-Level Skin Attention to Short Movies from Audio-Based LSTM-Mixture of Experts Models INTERSPEECH 2019
Survey Talk: Modeling in Automatic Speech Recognition: Beyond Hidden Markov Models INTERSPEECH 2019
Very Deep Self-Attention Networks for End-to-End Speech Recognition INTERSPEECH 2019
Jasper: An End-to-End Convolutional Neural Acoustic Model INTERSPEECH 2019
Unidirectional Neural Network Architectures for End-to-End Automatic Speech Recognition INTERSPEECH 2019
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech Recognition INTERSPEECH 2019
Multi-Channel Speech Enhancement Using Time-Domain Convolutional Denoising Autoencoder INTERSPEECH 2019
On Nonlinear Spatial Filtering in Multichannel Speech Enhancement INTERSPEECH 2019