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Papers

Showing 51–82 of 82 papers

TitleStatusHype
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Pronoun-Targeted Fine-tuning for NMT with Hybrid LossesCode0
On the Sub-Layer Functionalities of Transformer Decoder—0
Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine TranslationCode1
Learn to Talk via Proactive Knowledge Transfer—0
On the Importance of Local Information in Transformer Based Models—0
Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation—0
Improving Autoregressive NMT with Non-Autoregressive Model—0
Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation—0
Character-level Transformer-based Neural Machine Translation—0
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine TranslationCode1
Vocabulary Adaptation for Distant Domain Adaptation in Neural Machine Translation—0
AR: Auto-Repair the Synthetic Data for Neural Machine Translation—0
Wide-minima Density Hypothesis and the Explore-Exploit Learning Rate ScheduleCode1
BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong LearningCode1
Normalization of Input-output Shared Embeddings in Text Generation Models—0
Self-Adaptive Scaling for Learnable Residual Structure—0
Monash University's Submissions to the WNGT 2019 Document Translation Task—0
Proactive Sequence Generator via Knowledge Acquisition—0
Hint-Based Training for Non-Autoregressive Machine TranslationCode0
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Findings of the WMT 2019 Biomedical Translation Shared Task: Evaluation for MEDLINE Abstracts and Biomedical Terminologies—0
The RWTH Aachen University Machine Translation Systems for WMT 2019—0
Johns Hopkins University Submission for WMT News Translation Task—0
Hint-based Training for Non-Autoregressive Translation—0
STACL: Simultaneous Translation with Implicit Anticipation and Controllable Latency using Prefix-to-Prefix FrameworkCode0
The Samsung and University of Edinburgh’s submission to IWSLT17—0
LIG-CRIStAL System for the WMT17 Automatic Post-Editing Task—0
The University of Edinburgh’s systems submission to the MT task at IWSLT—0
Fully Character-Level Neural Machine Translation without Explicit SegmentationCode0
A Character-Level Decoder without Explicit Segmentation for Neural Machine TranslationCode1
On Using Monolingual Corpora in Neural Machine Translation—0
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