b'Xuezhe Ma'

Examining and Combating Spurious Features under Distribution Shift

A central goal of machine learning is to learn robust representations th...
06/14/2021 ∙ by Chunting Zhou, et al. ∙ 0 ∙ share

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Luna: Linear Unified Nested Attention

The quadratic computational and memory complexities of the Transformer's...
06/03/2021 ∙ by Xuezhe Ma, et al. ∙ 31 ∙ share

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COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

Commonsense reasoning is intuitive for humans but has been a long-term c...
06/02/2021 ∙ by Shikhar Singh, et al. ∙ 9 ∙ share

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DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation

Having engaging and informative conversations with users is the utmost g...
02/03/2021 ∙ by Sarik Ghazarian, et al. ∙ 10 ∙ share

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Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

In this paper, we introduce Apollo, a quasi-Newton method for nonconvex ...
09/28/2020 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

Cross-lingual transfer learning has become an important weapon to battle...
09/20/2019 ∙ by Wasi Uddin Ahmad, 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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Handling Syntactic Divergence in Low-resource Machine Translation

Despite impressive empirical successes of neural machine translation (NM...
08/30/2019 ∙ by Chunting Zhou, et al. ∙ 0 ∙ share

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Choosing Transfer Languages for Cross-Lingual Learning

Cross-lingual transfer, where a high-resource transfer language is used ...
05/29/2019 ∙ by Yu-Hsiang Lin, et al. ∙ 0 ∙ share

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Density Matching for Bilingual Word Embedding

Recent approaches to cross-lingual word embedding have generally been ba...
04/04/2019 ∙ by Chunting Zhou, et al. ∙ 0 ∙ share

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MaCow: Masked Convolutional Generative Flow

Flow-based generative models, conceptually attractive due to tractabilit...
02/12/2019 ∙ by Xuezhe Ma, et al. ∙ 2 ∙ share

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MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders

Variational Autoencoder (VAE), a simple and effective deep generative mo...
01/06/2019 ∙ by Xuezhe Ma, et al. ∙ 6 ∙ share

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Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing

Cross-lingual transfer is the major means toleverage knowledge from high...
11/01/2018 ∙ by Wasi Uddin Ahmad, et al. ∙ 0 ∙ share

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Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

We introduce Texar, an open-source toolkit aiming to support the broad s...
09/04/2018 ∙ by Zhiting Hu, et al. ∙ 0 ∙ share

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Stack-Pointer Networks for Dependency Parsing

We introduce a novel architecture for dependency parsing: stack-pointer ...
05/03/2018 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML

Reward augmented maximum likelihood (RAML), a simple and effective learn...
05/19/2017 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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An Interpretable Knowledge Transfer Model for Knowledge Base Completion

Knowledge bases are important resources for a variety of natural languag...
04/19/2017 ∙ by Qizhe Xie, et al. ∙ 0 ∙ share

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Neural Probabilistic Model for Non-projective MST Parsing

In this paper, we propose a probabilistic parsing model, which defines a...
01/04/2017 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Dropout with Expectation-linear Regularization

Dropout, a simple and effective way to train deep neural networks, has l...
09/26/2016 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Harnessing Deep Neural Networks with Logic Rules

Combining deep neural networks with structured logic rules is desirable ...
03/21/2016 ∙ by Zhiting Hu, et al. ∙ 0 ∙ share

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Unsupervised Ranking Model for Entity Coreference Resolution

Coreference resolution is one of the first stages in deep language under...
03/15/2016 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

State-of-the-art sequence labeling systems traditionally require large a...
03/04/2016 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Probabilistic Models for High-Order Projective Dependency Parsing

This paper presents generalized probabilistic models for high-order proj...
02/14/2015 ∙ by Xuezhe Ma, et al. ∙ 0 ∙ share

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Xuezhe Ma

Featured Co-authors

Graham Neubig

Eric P Xing

Xiaodan Liang

Hai Zhao

Luke Zettlemoyer

Kai-Wei Chang

Di Wang

Aram Galstyan

Nanyun Peng

Eric Xing

Eduard Hovy

Examining and Combating Spurious Features under Distribution Shift

Luna: Linear Unified Nested Attention

COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences

DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation

Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow

Handling Syntactic Divergence in Low-resource Machine Translation

Choosing Transfer Languages for Cross-Lingual Learning

Density Matching for Bilingual Word Embedding

MaCow: Masked Convolutional Generative Flow

MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders

Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Stack-Pointer Networks for Dependency Parsing

Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML

An Interpretable Knowledge Transfer Model for Knowledge Base Completion

Neural Probabilistic Model for Non-projective MST Parsing

Dropout with Expectation-linear Regularization

Harnessing Deep Neural Networks with Logic Rules

Unsupervised Ranking Model for Entity Coreference Resolution

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF

Probabilistic Models for High-Order Projective Dependency Parsing