← Models
Deep Learning › Models ›

Transformers

1816 directly classified papers

Papers per year

Papers

The AFRL WMT18 Systems: Ensembling, Continuation and Combination EMNLP 2018
An Analysis of Encoder Representations in Transformer-Based Machine Translation EMNLP 2018
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models EMNLP 2018
Training Deeper Neural Machine Translation Models with Transparent Attention EMNLP 2018
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation EMNLP 2018
S2SPMN: A Simple and Effective Framework for Response Generation with Relevant Information EMNLP 2018
Improving the Transformer Translation Model with Document-Level Context EMNLP 2018
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition ACL 2018
Controllable Abstractive Summarization ACL 2018
Middle-Out Decoding NIPS 2018
Mesh-TensorFlow: Deep Learning for Supercomputers NIPS 2018
Layer-Wise Coordination between Encoder and Decoder for Neural Machine Translation NIPS 2018
Blockwise Parallel Decoding for Deep Autoregressive Models NIPS 2018
Contextual Parameter Generation for Universal Neural Machine Translation EMNLP 2018
CUNI Submissions in WMT18 EMNLP 2018
NICT’s Neural and Statistical Machine Translation Systems for the WMT18 News Translation Task EMNLP 2018
NTT’s Neural Machine Translation Systems for WMT 2018 EMNLP 2018
The Karlsruhe Institute of Technology Systems for the News Translation Task in WMT 2018 EMNLP 2018
Tilde’s Machine Translation Systems for WMT 2018 EMNLP 2018
Image Transformer ICML 2018
TVT: Two-View Transformer Network for Video Captioning ACML 2018
Triangular Architecture for Rare Language Translation ACL 2018
Neural Argument Generation Augmented with Externally Retrieved Evidence ACL 2018
Hierarchical Neural Story Generation ACL 2018
Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning ACL 2018