b'Hao Zhou'

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation

It is well accepted that the choice of token vocabulary largely affects ...
12/31/2020 ∙ by Jingjing Xu, et al. ∙ 0 ∙ share

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Online Distributed Job Dispatching with Outdated and Partially-Observable Information

In this paper, we investigate online distributed job dispatching in an e...
12/26/2020 ∙ by Yuncong Hong, et al. ∙ 0 ∙ share

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LOREN: Logic Enhanced Neural Reasoning for Fact Verification

Given a natural language statement, how to verify whether it is supporte...
12/25/2020 ∙ by Jiangjie Chen, et al. ∙ 0 ∙ share

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Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

Unsupervised cross-modal hashing (UCMH) has become a hot topic recently....
12/25/2020 ∙ by Jun Yu, et al. ∙ 0 ∙ share

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Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection

Pedestrian detection benefits greatly from deep convolutional neural net...
12/20/2020 ∙ by Yan Luo, et al. ∙ 14 ∙ share

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Reciprocal Supervised Learning Improves Neural Machine Translation

Despite the recent success on image classification, self-training has on...
12/05/2020 ∙ by Minkai Xu, et al. ∙ 0 ∙ share

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CPM: A Large-scale Generative Chinese Pre-trained Language Model

Pre-trained Language Models (PLMs) have proven to be beneficial for vari...
12/01/2020 ∙ by Zhengyan Zhang, et al. ∙ 4 ∙ share

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On the Sentence Embeddings from Pre-trained Language Models

Pre-trained contextual representations like BERT have achieved great suc...
11/02/2020 ∙ by Bohan Li, et al. ∙ 0 ∙ share

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NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

Existing conversational systems are mostly agent-centric, which assumes ...
10/24/2020 ∙ by Zhiyu Chen, et al. ∙ 8 ∙ share

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Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach

Discourse context has been proven useful when translating documents. It ...
10/18/2020 ∙ by Zewei Sun, et al. ∙ 0 ∙ share

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Accelerated computational micromechanics

We present an approach to solving problems in micromechanics that is ame...
10/09/2020 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

We investigate the following question for machine translation (MT): can ...
10/07/2020 ∙ by Zehui Lin, et al. ∙ 0 ∙ share

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WeChat Neural Machine Translation Systems for WMT20

We participate in the WMT 2020 shared news translation task on Chinese t...
10/01/2020 ∙ by Fandong Meng, et al. ∙ 33 ∙ share

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SDST: Successive Decoding for Speech-to-text Translation

End-to-end speech-to-text translation (ST), which directly translates th...
09/21/2020 ∙ by Qianqian Dong, et al. ∙ 0 ∙ share

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TED: Triple Supervision Decouples End-to-end Speech-to-text Translation

An end-to-end speech-to-text translation (ST) takes audio in a source la...
09/21/2020 ∙ by Qianqian Dong, et al. ∙ 0 ∙ share

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Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control

This paper highlights several properties of large urban networks that ca...
08/21/2020 ∙ by Jorge Laval, et al. ∙ 0 ∙ share

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Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation achieves remarkable infere...
08/18/2020 ∙ by Lihua Qian, et al. ∙ 0 ∙ share

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An Empirical Evaluation of GDPR Compliance Violations in Android mHealth Apps

The purpose of the General Data Protection Regulation (GDPR) is to provi...
08/13/2020 ∙ by Ming Fan, et al. ∙ 0 ∙ share

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Generating Fluent Adversarial Examples for Natural Languages

Efficiently building an adversarial attacker for natural language proces...
07/13/2020 ∙ by Huangzhao Zhang, et al. ∙ 0 ∙ share

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Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods

It has been a common approach to pre-train a language model on a large c...
07/13/2020 ∙ by Ning Miao, et al. ∙ 0 ∙ share

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Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation

Auto-regressive sequence generative models trained by Maximum Likelihood...
07/12/2020 ∙ by Yuxuan Song, et al. ∙ 4 ∙ share

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Xiaomingbot: A Multilingual Robot News Reporter

This paper proposes the building of Xiaomingbot, an intelligent, multili...
07/12/2020 ∙ by Runxin Xu, et al. ∙ 0 ∙ share

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ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

Due to its simplicity and outstanding ability to generalize, stochastic ...
06/12/2020 ∙ by Xunpeng Huang, et al. ∙ 0 ∙ share

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Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

Adaptive gradient methods have attracted much attention of machine learn...
06/12/2020 ∙ by Xunpeng Huang, et al. ∙ 0 ∙ share

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SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation

We propose a novel method for combining synthetic and real images when t...
06/07/2020 ∙ by Koutilya PNVR, et al. ∙ 0 ∙ share

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Network On Network for Tabular Data Classification in Real-world Applications

Tabular data is the most common data format adopted by our customers ran...
05/20/2020 ∙ by Yuanfei Luo, et al. ∙ 2 ∙ share

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Feature Location Benchmark for Decomposing and Reusing Android Apps

Software reuse enables developers to reuse architecture, programs and ot...
05/08/2020 ∙ by Yutian Tang, et al. ∙ 0 ∙ share

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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

In this paper, we focus on reducing the labeled data size for sentence l...
04/17/2020 ∙ by Dongyu Ru, et al. ∙ 0 ∙ share

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KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

The research of knowledge-driven conversational systems is largely limit...
04/08/2020 ∙ by Hao Zhou, et al. ∙ 3 ∙ share

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Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

Although Shannon theory states that it is asymptotically optimal to sepa...
04/03/2020 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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LUXOR: An FPGA Logic Cell Architecture for Efficient Compressor Tree Implementations

We propose two tiers of modifications to FPGA logic cell architecture to...
03/06/2020 ∙ by Seyedramin Rasoulinezhad, et al. ∙ 0 ∙ share

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MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency

Binarized neural networks (BNNs) have shown exciting potential for utili...
02/27/2020 ∙ by Seyedramin Rasoulinezhad, et al. ∙ 0 ∙ share

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Spatial-Temporal Multi-Cue Network for Continuous Sign Language Recognition

Despite the recent success of deep learning in continuous sign language ...
02/08/2020 ∙ by Hao Zhou, et al. ∙ 6 ∙ share

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Variational Template Machine for Data-to-Text Generation

How to generate descriptions from structured data organized in tables? E...
02/04/2020 ∙ by Rong Ye, et al. ∙ 0 ∙ share

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Importance-Aware Learning for Neural Headline Editing

Many social media news writers are not professionally trained. Therefore...
11/25/2019 ∙ by Qingyang Wu, et al. ∙ 0 ∙ share

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Non-autoregressive Transformer by Position Learning

Non-autoregressive models are promising on various text generation tasks...
11/25/2019 ∙ by Yu Bao, et al. ∙ 0 ∙ share

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Visual Relationship Detection with Relative Location Mining

Visual relationship detection, as a challenging task used to find and di...
11/02/2019 ∙ by Hao Zhou, et al. ∙ 15 ∙ share

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Kernelized Bayesian Softmax for Text Generation

Neural models for text generation require a softmax layer with proper to...
11/01/2019 ∙ by Ning Miao, et al. ∙ 0 ∙ share

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Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey

This paper reviews machine learning methods for the motion planning of a...
10/02/2019 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Rethinking Text Attribute Transfer: A Lexical Analysis

Text attribute transfer is modifying certain linguistic attributes (e.g....
09/26/2019 ∙ by Yao Fu, et al. ∙ 0 ∙ share

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Unsupervised Paraphrasing by Simulated Annealing

Unsupervised paraphrase generation is a promising and important research...
09/09/2019 ∙ by Xianggen Liu, et al. ∙ 0 ∙ share

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Towards Making the Most of BERT in Neural Machine Translation

GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
08/15/2019 ∙ by Jiacheng Yang, et al. ∙ 0 ∙ share

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Large-scale traffic signal control using machine learning: some traffic flow considerations

This paper uses supervised learning, random search and deep reinforcemen...
08/07/2019 ∙ by Jorge A. Laval, et al. ∙ 0 ∙ share

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Correct-and-Memorize: Learning to Translate from Interactive Revisions

State-of-the-art machine translation models are still not on par with hu...
07/08/2019 ∙ by Rongxiang Weng, et al. ∙ 0 ∙ share

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Generating Sentences from Disentangled Syntactic and Semantic Spaces

Variational auto-encoders (VAEs) are widely used in natural language gen...
07/06/2019 ∙ by Yu Bao, et al. ∙ 0 ∙ share

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Fixing Gaussian Mixture VAEs for Interpretable Text Generation

Variational auto-encoder (VAE) with Gaussian priors is effective in text...
06/16/2019 ∙ by Wenxian Shi, et al. ∙ 0 ∙ share

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Imitation Learning for Non-Autoregressive Neural Machine Translation

Non-autoregressive translation models (NAT) have achieved impressive inf...
06/05/2019 ∙ by Bingzhen Wei, et al. ∙ 0 ∙ share

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Dynamically Fused Graph Network for Multi-hop Reasoning

Text-based question answering (TBQA) has been studied extensively in rec...
05/16/2019 ∙ by Yunxuan Xiao, et al. ∙ 0 ∙ share

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Domain-Constrained Advertising Keyword Generation

Advertising (ad for short) keyword suggestion is important for sponsored...
02/27/2019 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

In real-world applications of natural language generation, there are oft...
11/14/2018 ∙ by Ning Miao, et al. ∙ 0 ∙ share

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Hao Zhou

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