conftrace_
← Architectures
Deep Learning › Architectures ›

Recurrent Neural Networks

593 papers

Papers per year

1
18
78
7
'10
'15
'20
'25

Papers

Look Back and Predict Forward in Image Captioning CVPR 2019
Intention Oriented Image Captions With Guiding Objects CVPR 2019
TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions CVPR 2019
Shifting More Attention to Video Salient Object Detection CVPR 2019
Object Discovery in Videos as Foreground Motion Clustering CVPR 2019
Towards Natural and Accurate Future Motion Prediction of Humans and Animals CVPR 2019
Multi-Step Prediction of Occupancy Grid Maps With Recurrent Neural Networks CVPR 2019
SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction CVPR 2019
Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning CVPR 2019
Dynamics Are Important for the Recognition of Equine Pain in Video CVPR 2019
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures EMNLP 2019
RNN Architecture Learning with Sparse Regularization EMNLP 2019
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation EMNLP 2019
Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons EMNLP 2019
Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders EMNLP 2019
Negative Focus Detection via Contextual Attention Mechanism EMNLP 2019
Semantic graph parsing with recurrent neural network DAG grammars EMNLP 2019
An End-to-End Generative Architecture for Paraphrase Generation EMNLP 2019
Subtopic-driven Multi-Document Summarization EMNLP 2019
PaLM: A Hybrid Parser and Language Model EMNLP 2019
Dependency-Guided LSTM-CRF for Named Entity Recognition EMNLP 2019
ProSeqo: Projection Sequence Networks for On-Device Text Classification EMNLP 2019
A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis EMNLP 2019
A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis EMNLP 2019
Simple and Effective Noisy Channel Modeling for Neural Machine Translation EMNLP 2019