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07/19/2023
Multi-Grained Multimodal Interaction Network for Entity Linking
Multimodal entity linking (MEL) task, which aims at resolving ambiguous ...
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06/05/2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Pronunciation assessment is a major challenge in the computer-aided pron...
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04/04/2023
Locate Then Generate: Bridging Vision and Language with Bounding Box for Scene-Text VQA
In this paper, we propose a novel multi-modal framework for Scene Text V...
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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...
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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...
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04/16/2021
Towards Variable-Length Textual Adversarial Attacks
Adversarial attacks have shown the vulnerability of machine learning mod...
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10/13/2020
Incorporating BERT into Parallel Sequence Decoding with Adapters
While large scale pre-trained language models such as BERT have achieved...
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06/11/2020
STL-SGD: Speeding Up Local SGD with Stagewise Communication Period
Distributed parallel stochastic gradient descent algorithms are workhors...
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11/20/2019
Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation
Non-autoregressive translation (NAT) models remove the dependence on pre...
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06/28/2019
Faster Distributed Deep Net Training: Computation and Communication Decoupled Stochastic Gradient Descent
With the increase in the amount of data and the expansion of model scale...
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12/23/2018
Non-Autoregressive Neural Machine Translation with Enhanced Decoder Input
Non-autoregressive translation (NAT) models, which remove the dependence...
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11/15/2018
Asynchronous Stochastic Composition Optimization with Variance Reduction
Composition optimization has drawn a lot of attention in a wide variety ...
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10/07/2018
Accelerating Stochastic Gradient Descent Using Antithetic Sampling
(Mini-batch) Stochastic Gradient Descent is a popular optimization metho...
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03/08/2018
How Images Inspire Poems: Generating Classical Chinese Poetry from Images with Memory Networks
With the recent advances of neural models and natural language processin...
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11/11/2017
Generalized Neural Graph Embedding with Matrix Factorization
Recent advances in language modeling such as word2vec motivate a number ...
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05/21/2016