Search Results for author: Xin Zheng

Found 14 papers, 4 papers with code

Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation

1 code implementation14 Sep 2021 Xin Zheng, Zhirui Zhang, ShuJian Huang, Boxing Chen, Jun Xie, Weihua Luo, Jiajun Chen

Recently, $k$NN-MT has shown the promising capability of directly incorporating the pre-trained neural machine translation (NMT) model with domain-specific token-level $k$-nearest-neighbor ($k$NN) retrieval to achieve domain adaptation without retraining.

Machine Translation Unsupervised Domain Adaptation

Adaptive Nearest Neighbor Machine Translation

1 code implementation ACL 2021 Xin Zheng, Zhirui Zhang, Junliang Guo, ShuJian Huang, Boxing Chen, Weihua Luo, Jiajun Chen

On four benchmark machine translation datasets, we demonstrate that the proposed method is able to effectively filter out the noises in retrieval results and significantly outperforms the vanilla kNN-MT model.

Machine Translation

Efficient LiDAR Odometry for Autonomous Driving

no code implementations22 Apr 2021 Xin Zheng, Jianke Zhu

LiDAR odometry plays an important role in self-localization and mapping for autonomous navigation, which is usually treated as a scan registration problem.

Autonomous Driving Autonomous Navigation

Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View

1 code implementation17 Feb 2021 Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

In open domain table-to-text generation, we notice that the unfaithful generation usually contains hallucinated content which can not be aligned to any input table record.

Few-Shot Learning Table-to-Text Generation

Neural Network Compression for Noisy Storage Devices

no code implementations15 Feb 2021 Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H. -S. Philip Wong, Armin Alaghi

We propose a radically different approach that: (i) employs analog memories to maximize the capacity of each memory cell, and (ii) jointly optimizes model compression and physical storage to maximize memory utility.

Neural Network Compression

An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference

1 code implementation CONLL 2020 Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui

The prior work on natural language inference (NLI) debiasing mainly targets at one or few known biases while not necessarily making the models more robust.

Data Augmentation Natural Language Inference

HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference

no code implementations LREC 2020 Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui

Many recent studies have shown that for models trained on datasets for natural language inference (NLI), it is possible to make correct predictions by merely looking at the hypothesis while completely ignoring the premise.

Natural Language Inference

Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques

no code implementations16 Feb 2020 Jiali Xu, Qian Yin, Ping Guo, Xin Zheng

At the same time, the spectrum extraction results before and after calibration are compared, results show the characteristics of the extracted one-dimensional waveform are more close to an ideal optics system, and the PSF of the corrected object spectrum image estimated by the blind deconvolution method is nearly central symmetry, which indicates that our proposed method can significantly reduce the complexity of spectrum extraction and improve extraction accuracy.

Subtopic-driven Multi-Document Summarization

no code implementations IJCNLP 2019 Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy

In multi-document summarization, a set of documents to be summarized is assumed to be on the same topic, known as the underlying topic in this paper.

Document Summarization Multi-Document Summarization

A Survey of Deep Facial Attribute Analysis

no code implementations26 Dec 2018 Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li, Ran He

Deep learning based facial attribute analysis consists of two basic sub-issues: facial attribute estimation (FAE), which recognizes whether facial attributes are present in given images, and facial attribute manipulation (FAM), which synthesizes or removes desired facial attributes.

Character-Based Text Classification using Top Down Semantic Model for Sentence Representation

no code implementations29 May 2017 Zhenzhou Wu, Xin Zheng, Daniel Dahlmeier

Despite the success of deep learning on many fronts especially image and speech, its application in text classification often is still not as good as a simple linear SVM on n-gram TF-IDF representation especially for smaller datasets.

General Classification Text Classification

A Survey of Location Prediction on Twitter

no code implementations9 May 2017 Xin Zheng, Jialong Han, Aixin Sun

Specifically, we concentrate on the prediction of user home locations, tweet locations, and mentioned locations.

Application of Deep Neural Network in Estimation of the Weld Bead Parameters

no code implementations14 Feb 2015 Soheil Keshmiri, Xin Zheng, Chee Meng Chew, Chee Khiang Pang

We present a deep learning approach to estimation of the bead parameters in welding tasks.

Feature Learning with Gaussian Restricted Boltzmann Machine for Robust Speech Recognition

no code implementations23 Sep 2013 Xin Zheng, Zhiyong Wu, Helen Meng, Weifeng Li, Lianhong Cai

In this paper, we first present a new variant of Gaussian restricted Boltzmann machine (GRBM) called multivariate Gaussian restricted Boltzmann machine (MGRBM), with its definition and learning algorithm.

Robust Speech Recognition

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