research
∙
09/05/2022
Bridging Music and Text with Crowdsourced Music Comments: A Sequence-to-Sequence Framework for Thematic Music Comments Generation
We consider a novel task of automatically generating text descriptions o...
share
research
∙
05/30/2022
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
Binaural audio plays a significant role in constructing immersive augmen...
research
∙
05/22/2022
Sequence-to-Action: Grammatical Error Correction with Action Guided Sequence Generation
The task of Grammatical Error Correction (GEC) has received remarkable a...
research
∙
04/20/2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Non-autoregressive (NAR) generation, which is first proposed in neural m...
research
∙
08/31/2021
Task-Oriented Dialogue System as Natural Language Generation
In this paper, we propose to formulate the task-oriented dialogue system...
research
∙
05/27/2021
Adaptive Nearest Neighbor Machine Translation
kNN-MT, recently proposed by Khandelwal et al. (2020a), successfully com...
research
∙
04/16/2021
Towards Variable-Length Textual Adversarial Attacks
Adversarial attacks have shown the vulnerability of machine learning mod...
research
∙
10/13/2020
Incorporating BERT into Parallel Sequence Decoding with Adapters
While large scale pre-trained language models such as BERT have achieved...
research
∙
11/20/2019
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Non-autoregressive translation (NAT) models remove the dependence on pre...
research
∙
12/23/2018
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Non-autoregressive translation (NAT) models, which remove the dependence...
research
∙
11/15/2018
Asynchronous Stochastic Composition Optimization with Variance Reduction
Composition optimization has drawn a lot of attention in a wide variety ...
research
∙
11/11/2017
