b'Yang Feng'

research

∙ 05/25/2023

End-to-End Simultaneous Speech Translation with Differentiable Segmentation

End-to-end simultaneous speech translation (SimulST) outputs translation...

0 Shaolei Zhang, et al. ∙

research

∙ 05/24/2023

CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation

End-to-end speech translation (ST) is the task of translating speech sig...

0 Yan Zhou, et al. ∙

research

∙ 05/22/2023

Learning Optimal Policy for Simultaneous Machine Translation via Binary Search

Simultaneous machine translation (SiMT) starts to output translation whi...

0 Shoutao Guo, et al. ∙

research

∙ 05/15/2023

Back Translation for Speech-to-text Translation Without Transcripts

The success of end-to-end speech-to-text translation (ST) is often achie...

0 Qingkai Fang, et al. ∙

research

∙ 05/15/2023

Understanding and Bridging the Modality Gap for Speech Translation

How to achieve better end-to-end speech translation (ST) by leveraging (...

0 Qingkai Fang, et al. ∙

research

∙ 03/31/2023

Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness

Representation multi-task learning (MTL) and transfer learning (TL) have...

0 Ye Tian, et al. ∙

research

∙ 03/12/2023

Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation

Non-autoregressive translation (NAT) reduces the decoding latency but su...

0 Zhengrui Ma, et al. ∙

research

∙ 03/01/2023

Hidden Markov Transformer for Simultaneous Machine Translation

Simultaneous machine translation (SiMT) outputs the target sequence whil...

0 Shaolei Zhang, et al. ∙

research

∙ 02/21/2023

NLPLego: Assembling Test Generation for Natural Language Processing Applications

The development of modern NLP applications often relies on various bench...

0 Pin Ji, et al. ∙

research

∙ 02/05/2023

ℓ_1-penalized Multinomial Regression: Estimation, inference, and prediction, with an application to risk factor identification for different dementia subtypes

High-dimensional multinomial regression models are very useful in practi...

0 Ye Tian, et al. ∙

research

∙ 12/29/2022

OrthoGAN:High-Precision Image Generation for Teeth Orthodontic Visualization

Patients take care of what their teeth will be like after the orthodonti...

0 Feihong Shen, et al. ∙

research

∙ 11/30/2022

Rephrasing the Reference for Non-Autoregressive Machine Translation

Non-autoregressive neural machine translation (NAT) models suffer from t...

0 Chenze Shao, et al. ∙

research

∙ 11/03/2022

Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions

This paper considers continual learning of large-scale pretrained neural...

0 Shuhao Gu, et al. ∙

research

∙ 10/30/2022

Counterfactual Data Augmentation via Perspective Transition for Open-Domain Dialogues

The construction of open-domain dialogue systems requires high-quality d...

0 Jiao Ou, et al. ∙

research

∙ 10/29/2022

TFormer: 3D Tooth Segmentation in Mesh Scans with Geometry Guided Transformer

Optical Intra-oral Scanners (IOS) are widely used in digital dentistry, ...

0 Huimin Xiong, et al. ∙

research

∙ 10/28/2022

Improving Zero-Shot Multilingual Translation with Universal Representations and Cross-Mappings

The many-to-many multilingual neural machine translation can translate b...

0 Shuhao Gu, et al. ∙

research

∙ 10/22/2022

Information-Transport-based Policy for Simultaneous Translation

Simultaneous translation (ST) outputs translation while receiving the so...

0 Shaolei Zhang, et al. ∙

research

∙ 10/21/2022

Turning Fixed to Adaptive: Integrating Post-Evaluation into Simultaneous Machine Translation

Simultaneous machine translation (SiMT) starts its translation before re...

0 Shoutao Guo, et al. ∙

research

∙ 10/20/2022

Wait-info Policy: Balancing Source and Target at Information Level for Simultaneous Machine Translation

Simultaneous machine translation (SiMT) outputs the translation while re...

0 Shaolei Zhang, et al. ∙

research

∙ 10/13/2022

Low-resource Neural Machine Translation with Cross-modal Alignment

How to achieve neural machine translation with limited parallel data? Ex...

0 Zhe Yang, et al. ∙

research

∙ 10/11/2022

Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation

Non-autoregressive models achieve significant decoding speedup in neural...

0 Chenze Shao, et al. ∙

research

∙ 10/08/2022

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

Non-autoregressive translation (NAT) models are typically trained with t...

0 Chenze Shao, et al. ∙

research

∙ 09/30/2022

Unsupervised Multi-task and Transfer Learning on Gaussian Mixture Models

Unsupervised learning has been widely used in many real-world applicatio...

0 Ye Tian, et al. ∙

research

∙ 09/02/2022

GReS: Graphical Cross-domain Recommendation for Supply Chain Platform

Supply Chain Platforms (SCPs) provide downstream industries with numerou...

1 Zhiwen Jing, et al. ∙

research

∙ 05/28/2022

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

Non-autoregressive neural machine translation (NAT) suffers from the mul...

0 Chenze Shao, et al. ∙

research

∙ 05/16/2022

Distributed Feature Selection for High-dimensional Additive Models

Distributed statistical learning is a common strategy for handling massi...

0 Yifan He, et al. ∙

research

∙ 03/20/2022

STEMM: Self-learning with Speech-text Manifold Mixup for Speech Translation

How to learn a better speech representation for end-to-end speech-to-tex...

0 Qingkai Fang, et al. ∙

research

∙ 03/19/2022

Neural Machine Translation with Phrase-Level Universal Visual Representations

Multimodal machine translation (MMT) aims to improve neural machine tran...

0 Qingkai Fang, et al. ∙

research

∙ 03/17/2022

Modeling Dual Read/Write Paths for Simultaneous Machine Translation

Simultaneous machine translation (SiMT) outputs translation while readin...

0 Shaolei Zhang, et al. ∙

research

∙ 03/17/2022

Gaussian Multi-head Attention for Simultaneous Machine Translation

Simultaneous machine translation (SiMT) outputs translation while receiv...

0 Shaolei Zhang, et al. ∙

research

∙ 03/17/2022

Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework

Simultaneous machine translation (SiMT) starts translating while receivi...

0 Shaolei Zhang, et al. ∙

research

∙ 03/11/2022

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications

A critical step in virtual dental treatment planning is to accurately de...

0 Jin Hao, et al. ∙

research

∙ 03/08/2022

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

Neural networks tend to gradually forget the previously learned knowledg...

0 Chenze Shao, et al. ∙

research

∙ 02/26/2022

Relational Surrogate Loss Learning

Evaluation metrics in machine learning are often hardly taken as loss fu...

0 Tao Huang, et al. ∙

research

∙ 01/14/2022

Mental Health Assessment for the Chatbots

Previous researches on dialogue system assessment usually focus on the q...

0 Yong Shan, et al. ∙

research

∙ 11/08/2021

Neyman-Pearson Multi-class Classification via Cost-sensitive Learning

Most existing classification methods aim to minimize the overall misclas...

0 Ye Tian, et al. ∙

research

∙ 09/11/2021

Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model

Cross-attention is an important component of neural machine translation ...

0 Shaolei Zhang, et al. ∙

research

∙ 09/11/2021

Universal Simultaneous Machine Translation with Mixture-of-Experts Wait-k Policy

Simultaneous machine translation (SiMT) generates translation before rea...

0 Shaolei Zhang, et al. ∙

research

∙ 09/08/2021

Mixup Decoding for Diverse Machine Translation

Diverse machine translation aims at generating various target language t...

0 Jicheng Li, et al. ∙

research

∙ 09/04/2021

Towards Expressive Communication with Internet Memes: A New Multimodal Conversation Dataset and Benchmark

As a kind of new expression elements, Internet memes are popular and ext...

0 Zhengcong Fei, et al. ∙

research

∙ 07/14/2021

Importance-based Neuron Allocation for Multilingual Neural Machine Translation

Multilingual neural machine translation with a single model has drawn mu...

0 Wanying Xie, et al. ∙

research

∙ 06/15/2021

Sequence-Level Training for Non-Autoregressive Neural Machine Translation

In recent years, Neural Machine Translation (NMT) has achieved notable r...

0 Chenze Shao, et al. ∙

research

∙ 06/12/2021

Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation

Although teacher forcing has become the main training paradigm for neura...

0 Yang Feng, et al. ∙

research

∙ 06/07/2021

GTM: A Generative Triple-Wise Model for Conversational Question Generation

Generating some appealing questions in open-domain conversations is an e...

0 Lei Shen, et al. ∙

research

∙ 06/04/2021

Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency

A good open-domain chatbot should avoid presenting contradictory respons...

0 Zekang Li, et al. ∙

research

∙ 06/04/2021

Conversations Are Not Flat: Modeling the Dynamic Information Flow across Dialogue Utterances

Nowadays, open-domain dialogue models can generate acceptable responses ...

0 Zekang Li, et al. ∙

research

∙ 05/29/2021

Transfer Learning under High-dimensional Generalized Linear Models

In this work, we study the transfer learning problem under high-dimensio...

0 Ye Tian, et al. ∙

research

∙ 05/06/2021

Machine Collaboration

We propose a new ensemble framework for supervised learning, named machi...

0 Qingfeng Liu, et al. ∙

research

∙ 04/27/2021

SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer

Text style transfer aims to change the style of sentences while preservi...

0 Jicheng Li, et al. ∙

research

∙ 04/24/2021

Modeling Coverage for Non-Autoregressive Neural Machine Translation

Non-Autoregressive Neural Machine Translation (NAT) has achieved signifi...

0 Yong Shan, et al. ∙

Yang Feng

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