conftrace_
← Deep Learning
Deep Learning ›

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

4
30
847
998
'10
'15
'20
'25

Papers (including subtopics)

Dynamic Compositional Neural Networks over Tree Structure IJCAI 2017
Interactive Attention Networks for Aspect-Level Sentiment Classification IJCAI 2017
A Neural Model for Joint Event Detection and Summarization IJCAI 2017
Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information IJCNLP 2017
Local Monotonic Attention Mechanism for End-to-End Speech And Language Processing IJCNLP 2017
Attentive Language Models IJCNLP 2017
Sentence Modeling with Deep Neural Architecture using Lexicon and Character Attention Mechanism for Sentiment Classification IJCNLP 2017
End-to-end Network for Twitter Geolocation Prediction and Hashing IJCNLP 2017
CKY-based Convolutional Attention for Neural Machine Translation IJCNLP 2017
Revisiting the Design Issues of Local Models for Japanese Predicate-Argument Structure Analysis IJCNLP 2017
YNU-HPCC at IJCNLP-2017 Task 5: Multi-choice Question Answering in Exams Using an Attention-based LSTM Model IJCNLP 2017
Embedding-Based Speaker Adaptive Training of Deep Neural Networks INTERSPEECH 2017
Improving Deliverable Speech-to-Text Systems with Multilingual Knowledge Transfer INTERSPEECH 2017
Integrating Articulatory Information in Deep Learning-Based Text-to-Speech Synthesis INTERSPEECH 2017
Attention Based CLDNNs for Short-Duration Acoustic Scene Classification INTERSPEECH 2017
An Investigation of Deep Neural Networks for Multilingual Speech Recognition Training and Adaptation INTERSPEECH 2017
CTC in the Context of Generalized Full-Sum HMM Training INTERSPEECH 2017
Adversarial Network Bottleneck Features for Noise Robust Speaker Verification INTERSPEECH 2017
Deep Speaker Feature Learning for Text-Independent Speaker Verification INTERSPEECH 2017
Residual LSTM: Design of a Deep Recurrent Architecture for Distant Speech Recognition INTERSPEECH 2017
Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling INTERSPEECH 2017
Forward-Backward Convolutional LSTM for Acoustic Modeling INTERSPEECH 2017
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting INTERSPEECH 2017
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow INTERSPEECH 2017
On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals INTERSPEECH 2017