Search Results for author: Xi-An Li

Found 21 papers, 11 papers with code

Subspace Decomposition based DNN algorithm for elliptic-type multi-scale PDEs

1 code implementation10 Dec 2021 Xi-An Li, Zhi-Qin John Xu, Lei Zhang

Numerical results show that the SD$^2$NN model is superior to existing models such as MscaleDNN.

A multi-scale DNN algorithm for nonlinear elliptic equations with multiple scales

no code implementations30 Sep 2020 Xi-An Li, Zhi-Qin John Xu, Lei Zhang

Algorithms based on deep neural networks (DNNs) have attracted increasing attention from the scientific computing community.

Computational Physics Analysis of PDEs

Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification

1 code implementation28 Sep 2020 Xi-An Li, Lei Zhang, Li-Yan Wang, Jian Lu

The proposed MRFGAT architecture is tested on ModelNet10 and ModelNet40 datasets, and results show it achieves state-of-the-art performance in shape classification tasks.

Classification General Classification +2

Deep Transformers with Latent Depth

1 code implementation NeurIPS 2020 Xi-An Li, Asa Cooper Stickland, Yuqing Tang, Xiang Kong

As an extension of this framework, we propose a novel method to train one shared Transformer network for multilingual machine translation with different layer selection posteriors for each language pair.

Language Modelling Machine Translation +2

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

3 code implementations2 Aug 2020 Yuqing Tang, Chau Tran, Xi-An Li, Peng-Jen Chen, Naman Goyal, Vishrav Chaudhary, Jiatao Gu, Angela Fan

Recent work demonstrates the potential of multilingual pretraining of creating one model that can be used for various tasks in different languages.

Machine Translation Translation

Findings of the Fourth Workshop on Neural Generation and Translation

no code implementations WS 2020 Kenneth Heafield, Hiroaki Hayashi, Yusuke Oda, Ioannis Konstas, Andrew Finch, Graham Neubig, Xi-An Li, Alex Birch, ra

We describe the finding of the Fourth Workshop on Neural Generation and Translation, held in concert with the annual conference of the Association for Computational Linguistics (ACL 2020).

Machine Translation Translation

Addressing Posterior Collapse with Mutual Information for Improved Variational Neural Machine Translation

no code implementations ACL 2020 Arya D. McCarthy, Xi-An Li, Jiatao Gu, Ning Dong

This paper proposes a simple and effective approach to address the problem of posterior collapse in conditional variational autoencoders (CVAEs).

Machine Translation Translation

Cross-lingual Retrieval for Iterative Self-Supervised Training

1 code implementation NeurIPS 2020 Chau Tran, Yuqing Tang, Xi-An Li, Jiatao Gu

Recent studies have demonstrated the cross-lingual alignment ability of multilingual pretrained language models.

Pretrained Language Models Translation +1

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

no code implementations15 Jun 2020 Yaqing Wang, Yifan Ethan Xu, Xi-An Li, Xin Luna Dong, Jing Gao

(1) We formalize the problem of validating the textual attribute values of products from a variety of categories as a natural language inference task in the few-shot learning setting, and propose a meta-learning latent variable model to jointly process the signals obtained from product profiles and textual attribute values.

Few-Shot Learning Natural Language Inference

Multilingual Denoising Pre-training for Neural Machine Translation

5 code implementations22 Jan 2020 Yinhan Liu, Jiatao Gu, Naman Goyal, Xi-An Li, Sergey Edunov, Marjan Ghazvininejad, Mike Lewis, Luke Zettlemoyer

This paper demonstrates that multilingual denoising pre-training produces significant performance gains across a wide variety of machine translation (MT) tasks.

Denoising Translation +1

Improved Variational Neural Machine Translation by Promoting Mutual Information

no code implementations19 Sep 2019 Arya D. McCarthy, Xi-An Li, Jiatao Gu, Ning Dong

Posterior collapse plagues VAEs for text, especially for conditional text generation with strong autoregressive decoders.

Conditional Text Generation Machine Translation +1

Efficient Knowledge Graph Accuracy Evaluation

no code implementations23 Jul 2019 Junyang Gao, Xi-An Li, Yifan Ethan Xu, Bunyamin Sisman, Xin Luna Dong, Jun Yang

To address the problem, this paper proposes an efficient sampling and evaluation framework, which aims to provide quality accuracy evaluation with strong statistical guarantee while minimizing human efforts.

Databases

On Meaning-Preserving Adversarial Perturbations for Sequence-to-Sequence Models

no code implementations ICLR 2019 Paul Michel, Graham Neubig, Xi-An Li, Juan Miguel Pino

Adversarial examples have been shown to be an effective way of assessing the robustness of neural sequence-to-sequence (seq2seq) models, by applying perturbations to the input of a model leading to large degradation in performance.

Adversarial Robustness Machine Translation +1

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

1 code implementation NAACL 2019 Paul Michel, Xi-An Li, Graham Neubig, Juan Miguel Pino

Adversarial examples --- perturbations to the input of a model that elicit large changes in the output --- have been shown to be an effective way of assessing the robustness of sequence-to-sequence (seq2seq) models.

Adversarial Robustness Machine Translation

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