b'Biao Zhang'

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation

Due to the great potential in facilitating software development, code ge...
06/01/2021 ∙ by Hui Jiang, et al. ∙ 0 ∙ share

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Sparse Attention with Linear Units

Recently, it has been argued that encoder-decoder models can be made mor...
04/14/2021 ∙ by Biao Zhang, et al. ∙ 23 ∙ share

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Fast Interleaved Bidirectional Sequence Generation

Independence assumptions during sequence generation can speed up inferen...
10/27/2020 ∙ by Biao Zhang, et al. ∙ 1 ∙ share

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Adaptive Feature Selection for End-to-End Speech Translation

Information in speech signals is not evenly distributed, making it an ad...
10/16/2020 ∙ by Biao Zhang, et al. ∙ 15 ∙ share

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Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification

We propose a novel 3d shape representation for 3d shape reconstruction f...
10/16/2020 ∙ by Biao Zhang, et al. ∙ 9 ∙ share

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Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation

Following previous work on automatic paraphrasing, we assess the feasibi...
04/30/2020 ∙ by Rachel Bawden, et al. ∙ 0 ∙ share

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Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Massively multilingual models for neural machine translation (NMT) are t...
04/24/2020 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Sequence-to-sequence models usually transfer all encoder outputs to the ...
04/24/2020 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Point Cloud Instance Segmentation using Probabilistic Embeddings

In this paper we propose a new framework for point cloud instance segmen...
11/30/2019 ∙ by Biao Zhang, et al. ∙ 14 ∙ share

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Root Mean Square Layer Normalization

Layer normalization (LayerNorm) has been successfully applied to various...
10/16/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

The general trend in NLP is towards increasing model capacity and perfor...
08/29/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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A Lightweight Recurrent Network for Sequence Modeling

Recurrent networks have achieved great success on various sequential tas...
05/30/2019 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Revisiting Low-Resource Neural Machine Translation: A Case Study

It has been shown that the performance of neural machine translation (NM...
05/28/2019 ∙ by Rico Sennrich, et al. ∙ 0 ∙ share

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Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

In this paper, we propose an additionsubtraction twin-gated recurrent ne...
10/30/2018 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Although neural machine translation(NMT) yields promising translation pe...
07/24/2018 ∙ by Jing Yang, et al. ∙ 0 ∙ share

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Accelerating Neural Transformer via an Average Attention Network

With parallelizable attention networks, the neural Transformer is very f...
05/02/2018 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Recurrent Neural Machine Translation

Partially inspired by successful applications of variational recurrent n...
01/16/2018 ∙ by Jinsong Su, et al. ∙ 0 ∙ share

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A GRU-Gated Attention Model for Neural Machine Translation

Neural machine translation (NMT) heavily relies on an attention network ...
04/27/2017 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Recurrent Neural Machine Translation

The vanilla attention-based neural machine translation has achieved prom...
07/29/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

In this paper, we propose a bidimensional attention based recursive auto...
05/25/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Neural Machine Translation

Models of neural machine translation are often from a discriminative fam...
05/25/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Variational Neural Discourse Relation Recognizer

Implicit discourse relation recognition is a crucial component for autom...
03/12/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Neural Discourse Relation Recognition with Semantic Memory

Humans comprehend the meanings and relations of discourses heavily relyi...
03/12/2016 ∙ by Biao Zhang, et al. ∙ 0 ∙ share

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Biao Zhang

Featured Co-authors

Jie Zhou

Rongrong Ji

Min Zhang

Jing Yang

Ivan Titov

Rico Sennrich

Fandong Meng

Peter Wonka

Qun Liu

Hui Jiang

Deyi Xiong

Exploring Dynamic Selection of Branch Expansion Orders for Code Generation

Sparse Attention with Linear Units

Fast Interleaved Bidirectional Sequence Generation

Adaptive Feature Selection for End-to-End Speech Translation

Training Data Generating Networks: Linking 3D Shapes and Few-Shot Classification

Explicit Representation of the Translation Space: Automatic Paraphrasing for Machine Translation Evaluation

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models

Point Cloud Instance Segmentation using Probabilistic Embeddings

Root Mean Square Layer Normalization

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention

A Lightweight Recurrent Network for Sequence Modeling

Revisiting Low-Resource Neural Machine Translation: A Case Study

Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks

Otem&Utem: Over- and Under-Translation Evaluation Metric for NMT

Accelerating Neural Transformer via an Average Attention Network

Variational Recurrent Neural Machine Translation

A GRU-Gated Attention Model for Neural Machine Translation

Recurrent Neural Machine Translation

BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings

Variational Neural Machine Translation

Variational Neural Discourse Relation Recognizer

Neural Discourse Relation Recognition with Semantic Memory