Search Results for author: Xin Dong

Found 23 papers, 5 papers with code

Fast query-by-example speech search using separable model

no code implementations18 Sep 2021 Yuguang Yang, Yu Pan, Xin Dong, Minqiang Xu

Second, we design a novel model inference scheme based on RepVGG which can efficiently improve the QbE search quality.

Word Embeddings

Data Augmentation with Adversarial Training for Cross-Lingual NLI

no code implementations ACL 2021 Xin Dong, Yaxin Zhu, Zuohui Fu, Dongkuan Xu, Gerard de Melo

Due to recent pretrained multilingual representation models, it has become feasible to exploit labeled data from one language to train a cross-lingual model that can then be applied to multiple new languages.

Cross-Lingual Natural Language Inference Data Augmentation

Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion

no code implementations13 Jul 2021 Xin Dong, Hongxu Yin, Jose M. Alvarez, Jan Kautz, Pavlo Molchanov

Understanding the behavior and vulnerability of pre-trained deep neural networks (DNNs) can help to improve them.

A Free Lunch From ANN: Towards Efficient, Accurate Spiking Neural Networks Calibration

1 code implementation13 Jun 2021 Yuhang Li, Shikuang Deng, Xin Dong, Ruihao Gong, Shi Gu

Moreover, our calibration algorithm can produce SNN with state-of-the-art architecture on the large-scale ImageNet dataset, including MobileNet and RegNet.

Lightweight Detection of Out-of-Distribution and Adversarial Samples via Channel Mean Discrepancy

no code implementations23 Apr 2021 Xin Dong, Junfeng Guo, Wei-Te Ting, H. T. Kung

We introduce Channel Mean Discrepancy (CMD), a model-agnostic distance metric for evaluating the statistics of features extracted by classification models, inspired by integral probability metrics.

Classification General Classification

Domain-Specific Sentiment Lexicons Induced from Labeled Documents

no code implementations COLING 2020 Sm Mazharul Islam, Xin Dong, Gerard de Melo

Sentiment analysis is an area of substantial relevance both in industry and in academia, including for instance in social studies.

Sentiment Analysis

exBERT: Extending Pre-trained Models with Domain-specific Vocabulary Under Constrained Training Resources

no code implementations Findings of the Association for Computational Linguistics 2020 Wen Tai, H. T. Kung, Xin Dong, Marcus Comiter, Chang-Fu Kuo

We introduce exBERT, a training method to extend BERT pre-trained models from a general domain to a new pre-trained model for a specific domain with a new additive vocabulary under constrained training resources (i. e., constrained computation and data).

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification

no code implementations29 Jul 2020 Xin Dong, Yaxin Zhu, Yupeng Zhang, Zuohui Fu, Dongkuan Xu, Sen yang, Gerard de Melo

The resulting model then serves as a teacher to induce labels for unlabeled target language samples that can be used during further adversarial training, allowing us to gradually adapt our model to the target language.

Classification General Classification +2

Efficient Bitwidth Search for Practical Mixed Precision Neural Network

no code implementations17 Mar 2020 Yuhang Li, Wei Wang, Haoli Bai, Ruihao Gong, Xin Dong, Fengwei Yu

Network quantization has rapidly become one of the most widely used methods to compress and accelerate deep neural networks.

Quantization

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs

1 code implementation29 Jan 2020 Zuohui Fu, Yikun Xian, Shijie Geng, Yingqiang Ge, Yuting Wang, Xin Dong, Guang Wang, Gerard de Melo

A number of cross-lingual transfer learning approaches based on neural networks have been proposed for the case when large amounts of parallel text are at our disposal.

Cross-Lingual Transfer Sentence Embedding +1

Asymmetrical Hierarchical Networks with Attentive Interactions for Interpretable Review-Based Recommendation

no code implementations18 Dec 2019 Xin Dong, Jingchao Ni, Wei Cheng, Zhengzhang Chen, Bo Zong, Dongjin Song, Yanchi Liu, Haifeng Chen, Gerard de Melo

In practice, however, these two sets of reviews are notably different: users' reviews reflect a variety of items that they have bought and are hence very heterogeneous in their topics, while an item's reviews pertain only to that single item and are thus topically homogeneous.

Recommendation Systems

RTN: Reparameterized Ternary Network

no code implementations4 Dec 2019 Yuhang Li, Xin Dong, Sai Qian Zhang, Haoli Bai, Yuanpeng Chen, Wei Wang

We first bring up three omitted issues in extremely low-bit networks: the squashing range of quantized values; the gradient vanishing during backpropagation and the unexploited hardware acceleration of ternary networks.

Quantization

A Robust Self-Learning Framework for Cross-Lingual Text Classification

no code implementations IJCNLP 2019 Xin Dong, Gerard de Melo

Based on massive amounts of data, recent pretrained contextual representation models have made significant strides in advancing a number of different English NLP tasks.

Classification General Classification +2

Additive Powers-of-Two Quantization: An Efficient Non-uniform Discretization for Neural Networks

1 code implementation ICLR 2020 Yuhang Li, Xin Dong, Wei Wang

We propose Additive Powers-of-Two~(APoT) quantization, an efficient non-uniform quantization scheme for the bell-shaped and long-tailed distribution of weights and activations in neural networks.

Quantization

Full-stack Optimization for Accelerating CNNs with FPGA Validation

no code implementations1 May 2019 Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong

A highlight of our full-stack approach which attributes to the achieved high energy efficiency is an efficient Selector-Accumulator (SAC) architecture for implementing the multiplier-accumulator (MAC) operation present in any digital CNN hardware.

A Main/Subsidiary Network Framework for Simplifying Binary Neural Network

no code implementations11 Dec 2018 Yinghao Xu, Xin Dong, Yudian Li, Hao Su

To reduce memory footprint and run-time latency, techniques such as neural network pruning and binarization have been explored separately.

Binarization Image Classification +1

What and Where: A Context-based Recommendation System for Object Insertion

no code implementations24 Nov 2018 Song-Hai Zhang, Zhengping Zhou, Bin Liu, Xin Dong, Dun Liang, Peter Hall, Shi-Min Hu

In this work, we propose a novel topic consisting of two dual tasks: 1) given a scene, recommend objects to insert, 2) given an object category, retrieve suitable background scenes.

A Helping Hand: Transfer Learning for Deep Sentiment Analysis

no code implementations ACL 2018 Xin Dong, Gerard de Melo

Deep convolutional neural networks excel at sentiment polarity classification, but tend to require substantial amounts of training data, which moreover differs quite significantly between domains.

General Classification Sentiment Analysis +2

Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?

no code implementations CVPR 2019 Shilin Zhu, Xin Dong, Hao Su

Binary neural networks (BNN) have been studied extensively since they run dramatically faster at lower memory and power consumption than floating-point networks, thanks to the efficiency of bit operations.

Pose2Seg: Detection Free Human Instance Segmentation

6 code implementations CVPR 2019 Song-Hai Zhang, Rui-Long Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu

We demonstrate that our pose-based framework can achieve better accuracy than the state-of-art detection-based approach on the human instance segmentation problem, and can moreover better handle occlusion.

Human Instance Segmentation Object Detection +1

Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon

1 code implementation NeurIPS 2017 Xin Dong, Shangyu Chen, Sinno Jialin Pan

How to develop slim and accurate deep neural networks has become crucial for real- world applications, especially for those employed in embedded systems.

Cannot find the paper you are looking for? You can Submit a new open access paper.