
Bridging the Gap between Training and Inference for Neural Machine Translation
Neural Machine Translation (NMT) generates target words sequentially in ...
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Video Relocalization
Many methods have been developed to help people find the video contents ...
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Retrieving Sequential Information for NonAutoregressive Neural Machine Translation
NonAutoregressive Transformer (NAT) aims to accelerate the Transformer ...
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Memory Visualization for Gated Recurrent Neural Networks in Speech Recognition
Recurrent neural networks (RNNs) have shown clear superiority in sequenc...
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Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by FineGrained Deep Learning
We study to what extend Chinese, Japanese and Korean faces can be classi...
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NeymanPearson Classification under HighDimensional Settings
Most existing binary classification methods target on the optimization o...
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A Projection Based Conditional Dependence Measure with Applications to Highdimensional Undirected Graphical Models
Measuring conditional dependence is an important topic in statistics wit...
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Model Selection in HighDimensional Misspecified Models
Model selection is indispensable to highdimensional sparse modeling in ...
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How Many Communities Are There?
Stochastic blockmodels and variants thereof are among the most widely us...
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Feature Augmentation via Nonparametrics and Selection (FANS) in High Dimensional Classification
We propose a high dimensional classification method that involves nonpar...
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Likelihood Adaptively Modified Penalties
A new family of penalty functions, adaptive to likelihood, is introduced...
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APPLE: Approximate Path for Penalized Likelihood Estimators
In highdimensional data analysis, penalized likelihood estimators are s...
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A ROAD to Classification in High Dimensional Space
For highdimensional classification, it is well known that naively perfo...
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Highdimensional variable selection for Cox's proportional hazards model
Variable selection in high dimensional space has challenged many contemp...
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Nonparametric Independence Screening in Sparse UltraHigh Dimensional Additive Models
A variable screening procedure via correlation learning was proposed Fan...
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Refining Source Representations with Relation Networks for Neural Machine Translation
Although neural machine translation (NMT) with the encoderdecoder frame...
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InformationPropogationEnhanced Neural Machine Translation by Relation Model
Even though sequencetosequence neural machine translation (NMT) model ...
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Memoryaugmented Neural Machine Translation
Neural machine translation (NMT) has achieved notable success in recent ...
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Flexible and Creative Chinese Poetry Generation Using Neural Memory
It has been shown that Chinese poems can be successfully generated by se...
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Unsupervised Anomaly Detection via Variational AutoEncoder for Seasonal KPIs in Web Applications
To ensure undisrupted business, large Internet companies need to closely...
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Partial Distance Correlation Screening for High Dimensional Time Series
High dimensional time series datasets are becoming increasingly common i...
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Sparse Linear Discriminant Analysis under the NeymanPearson Paradigm
In contrast to the classical binary classification paradigm that minimiz...
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Nonparametric Independence Screening via Favored Smoothing Bandwidth
We propose a flexible nonparametric regression method for ultrahighdime...
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A note on estimation in a simple probit model under dependency
We consider a probit model without covariates, but the latent Gaussian v...
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LargeScale Model Selection with Misspecification
Model selection is crucial to highdimensional learning and inference fo...
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Pairwise Covariatesadjusted Block Model for Community Detection
One of the most fundamental problems in network study is community detec...
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Greedy Search with Probabilistic Ngram Matching for Neural Machine Translation
Neural machine translation (NMT) models are usually trained with the wor...
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Speeding Up Neural Machine Translation Decoding by Cube Pruning
Although neural machine translation has achieved promising results, it s...
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A likelihoodratio type test for stochastic block models with bounded degrees
A fundamental problem in network data analysis is to test ErdösRényi mo...
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Improving the Robustness of Speech Translation
Although neural machine translation (NMT) has achieved impressive progre...
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Unsupervised Image Captioning
Deep neural networks have achieved great successes on the image captioni...
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Testing Community Structures for Hypergraphs
Many complex networks in real world can be formulated as hypergraphs whe...
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A NoiseSensitivityAnalysisBased Test Prioritization Technique for Deep Neural Networks
Deep neural networks (DNNs) have been widely used in the fields such as ...
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MultiWinner Contests for Strategic Diffusion in Social Networks
Strategic diffusion encourages participants to take active roles in prom...
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Improving Domain Adaptation Translation with Domain Invariant and Specific Information
In domain adaptation for neural machine translation, translation perform...
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Spatiotemporal Video Relocalization by Warp LSTM
The need for efficiently finding the video content a user wants is incre...
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DeepGini: Prioritizing Massive Tests to Reduce Labeling Cost
Deep neural network (DNN) based systems have been deployed to assist var...
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Modeling Semantic Relationship in Multiturn Conversations with Hierarchical Latent Variables
Multiturn conversations consist of complex semantic structures, and it ...
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Incremental Transformer with Deliberation Decoder for Document Grounded Conversations
Document Grounded Conversations is a task to generate dialogue responses...
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NeuralVis: Visualizing and Interpreting Deep Learning Models
Deep Neural Network(DNN) techniques have been prevalent in software engi...
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Improving MultiHead Attention with Capsule Networks
Multihead attention advances neural machine translation by working out ...
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Enhancing Context Modeling with a QueryGuided Capsule Network for Documentlevel Translation
Context modeling is essential to generate coherent and consistent transl...
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Unveiling Elite Developers' Activities in Open Source Projects
Opensource developers, particularly the elite developers, maintain a di...
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Improving Bidirectional Decoding with Dynamic Target Semantics in Neural Machine Translation
Generally, Neural Machine Translation models generate target words in a ...
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Minimizing the BagofNgrams Difference for NonAutoregressive Neural Machine Translation
NonAutoregressive Neural Machine Translation (NAT) achieves significant...
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Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Neural machine translation models usually adopt the teacher forcing stra...
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Software Engineering Practice in the Development of Deep Learning Applications
DeepLearning(DL) applications have been widely employed to assist in va...
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Bridging Text and Video: A Universal Multimodal Transformer for VideoAudio SceneAware Dialog
AudioVisual SceneAware Dialog (AVSD) is a task to generate responses w...
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Unifying Specialist Image Embedding into Universal Image Embedding
Deep image embedding provides a way to measure the semantic similarity o...
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Videobased Person ReIdentification using Gated Convolutional Recurrent Neural Networks
Deep neural networks have been successfully applied to solving the video...
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