b'Xian Li'

Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling

Multi-head attention has each of the attention heads collect salient inf...
06/21/2021 ∙ by Hongyu Gong, et al. ∙ 4 ∙ share

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Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation

Is bias amplified when neural machine translation (NMT) models are optim...
06/01/2021 ∙ by Adithya Renduchintala, et al. ∙ 5 ∙ share

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Demystify Optimization Challenges in Multilingual Transformers

Multilingual Transformer improves parameter efficiency and crosslingual ...
04/15/2021 ∙ by Xian Li, et al. ∙ 12 ∙ share

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Adaptive Sparse Transformer for Multilingual Translation

Multilingual machine translation has attracted much attention recently d...
04/15/2021 ∙ by Hongyu Gong, et al. ∙ 10 ∙ share

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An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks

Mobile edge computing (MEC) is a promising paradigm to accommodate the i...
04/14/2021 ∙ by Xian Li, et al. ∙ 0 ∙ share

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On the Subbagging Estimation for Massive Data

This article introduces subbagging (subsample aggregating) estimation ap...
02/28/2021 ∙ by Tao Zou, et al. ∙ 6 ∙ share

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Improving Zero-Shot Translation by Disentangling Positional Information

Multilingual neural machine translation has shown the capability of dire...
12/30/2020 ∙ by Danni Liu, et al. ∙ 6 ∙ share

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Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms

Active learning (AL) algorithms may achieve better performance with fewe...
12/29/2020 ∙ by Yilun Zhou, et al. ∙ 15 ∙ share

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Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation

We propose an effective approach to utilize pretrained speech and text m...
10/24/2020 ∙ by Chau Tran, et al. ∙ 8 ∙ share

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DeFuzz: Deep Learning Guided Directed Fuzzing

Fuzzing is one of the most effective technique to identify potential sof...
10/23/2020 ∙ by Xiaogang Zhu, et al. ∙ 11 ∙ share

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Deep Transformers with Latent Depth

The Transformer model has achieved state-of-the-art performance in many ...
09/28/2020 ∙ by Xian Li, et al. ∙ 0 ∙ share

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Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Recent work demonstrates the potential of multilingual pretraining of cr...
08/02/2020 ∙ by Yuqing Tang, et al. ∙ 0 ∙ share

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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Can one build a knowledge graph (KG) for all products in the world? Know...
06/24/2020 ∙ by Xin Luna Dong, et al. ∙ 12 ∙ share

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Cross-lingual Retrieval for Iterative Self-Supervised Training

Recent studies have demonstrated the cross-lingual alignment ability of ...
06/16/2020 ∙ by Chau Tran, et al. ∙ 0 ∙ share

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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Product catalogs are valuable resources for eCommerce website. In the ca...
06/15/2020 ∙ by Yaqing Wang, et al. ∙ 0 ∙ share

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Citing is earlier than Cited?

Generally, it is common that cited papers are earlier than citing papers...
06/06/2020 ∙ by Xian Li, et al. ∙ 0 ∙ share

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Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

There has been recent success in pre-training on monolingual data and fi...
04/30/2020 ∙ by Asa Cooper Stickland, et al. ∙ 0 ∙ share

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Computation Rate Maximization in Wireless Powered MEC with Spread Spectrum Multiple Access

The integration of mobile edge computing (MEC) and wireless power transf...
02/24/2020 ∙ by Yuegui Chen, et al. ∙ 0 ∙ share

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Multilingual Denoising Pre-training for Neural Machine Translation

This paper demonstrates that multilingual denoising pre-training produce...
01/22/2020 ∙ by Yinhan Liu, et al. ∙ 0 ∙ share

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Improved Variational Neural Machine Translation by Promoting Mutual Information

Posterior collapse plagues VAEs for text, especially for conditional tex...
09/19/2019 ∙ by Arya D. McCarthy, et al. ∙ 0 ∙ share

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FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Most sequence-to-sequence (seq2seq) models are autoregressive; they gene...
09/05/2019 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Efficient Knowledge Graph Accuracy Evaluation

Estimation of the accuracy of a large-scale knowledge graph (KG) often r...
07/23/2019 ∙ by Junyang Gao, et al. ∙ 0 ∙ share

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Findings of the First Shared Task on Machine Translation Robustness

We share the findings of the first shared task on improving robustness o...
06/27/2019 ∙ by Xian Li, et al. ∙ 0 ∙ share

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On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Adversarial examples --- perturbations to the input of a model that elic...
03/15/2019 ∙ by Paul Michel, et al. ∙ 0 ∙ share

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Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks

This work considers the design of online transmission policy in a wirele...
02/25/2019 ∙ by Xian Li, et al. ∙ 0 ∙ share

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A Corpus for Multilingual Document Classification in Eight Languages

Cross-lingual document classification aims at training a document classi...
05/24/2018 ∙ by Holger Schwenk, et al. ∙ 0 ∙ share

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Deep Voice: Real-time Neural Text-to-Speech

We present Deep Voice, a production-quality text-to-speech system constr...
02/25/2017 ∙ by Sercan O. Arik, et al. ∙ 0 ∙ share

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Xian Li

Featured Co-authors

Graham Neubig

Jun Zhang

Derrick Wing Kwan Ng

Jiawei Han

Andrew McCallum

Luke Zettlemoyer

Jun Yang

Hui Wang

Liang Huang

Jun Ma

Eduard Hovy

Pay Better Attention to Attention: Head Selection in Multilingual and Multi-Domain Sequence Modeling

Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation

Demystify Optimization Challenges in Multilingual Transformers

Adaptive Sparse Transformer for Multilingual Translation

An Integrated Optimization-Learning Framework for Online Combinatorial Computation Offloading in MEC Networks

On the Subbagging Estimation for Massive Data

Improving Zero-Shot Translation by Disentangling Positional Information

Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms

Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation

DeFuzz: Deep Learning Guided Directed Fuzzing

Deep Transformers with Latent Depth

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types

Cross-lingual Retrieval for Iterative Self-Supervised Training

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data

Citing is earlier than Cited?

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

Computation Rate Maximization in Wireless Powered MEC with Spread Spectrum Multiple Access

Multilingual Denoising Pre-training for Neural Machine Translation

Improved Variational Neural Machine Translation by Promoting Mutual Information

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Efficient Knowledge Graph Accuracy Evaluation

Findings of the First Shared Task on Machine Translation Robustness

On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models

Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks

A Corpus for Multilingual Document Classification in Eight Languages

Deep Voice: Real-time Neural Text-to-Speech