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05/28/2023
Neural Machine Translation with Dynamic Graph Convolutional Decoder
Existing wisdom demonstrates the significance of syntactic knowledge for...
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03/28/2023
Translate the Beauty in Songs: Jointly Learning to Align Melody and Translate Lyrics
Song translation requires both translation of lyrics and alignment of mu...
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03/14/2023
Adapting Offline Speech Translation Models for Streaming with Future-Aware Distillation and Inference
A popular approach to streaming speech translation is to employ a single...
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11/25/2022
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?
Neural machine translation (NMT) is often criticized for failures that h...
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08/27/2022
A scalable pipeline for COVID-19: the case study of Germany, Czechia and Poland
Throughout the coronavirus disease 2019 (COVID-19) pandemic, decision ma...
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04/13/2022
Efficient Cluster-Based k-Nearest-Neighbor Machine Translation
k-Nearest-Neighbor Machine Translation (kNN-MT) has been recently propos...
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11/23/2021
StrokeNet: Stroke Assisted and Hierarchical Graph Reasoning Networks
Scene text detection is still a challenging task, as there may be extrem...
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09/19/2020
Long-Short Term Masking Transformer: A Simple but Effective Baseline for Document-level Neural Machine Translation
Many document-level neural machine translation (NMT) systems have explor...
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09/19/2020
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
With the advent of neural machine translation, there has been a marked s...
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04/28/2020
A Practical Framework for Relation Extraction with Noisy Labels Based on Doubly Transitional Loss
Either human annotation or rule based automatic labeling is an effective...
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10/03/2019
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System
The performances of automatic speech recognition (ASR) systems are usual...
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06/13/2019
Lattice Transformer for Speech Translation
Recent advances in sequence modeling have highlighted the strengths of t...
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11/28/2018
Unsupervised Multi-modal Neural Machine Translation
Unsupervised neural machine translation (UNMT) has recently achieved rem...
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11/14/2018
Improving Distantly Supervised Relation Extraction with Neural Noise Converter and Conditional Optimal Selector
Distant supervised relation extraction has been successfully applied to ...
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07/25/2018
"Bilingual Expert" Can Find Translation Errors
Recent advances in statistical machine translation via the adoption of n...
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12/01/2017
InverseNet: Solving Inverse Problems with Splitting Networks
We propose a new method that uses deep learning techniques to solve the ...
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11/15/2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models
We present a deep generative model for learning to predict classes not s...
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09/06/2017
An inner-loop free solution to inverse problems using deep neural networks
We propose a new method that uses deep learning techniques to accelerate...
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06/12/2017
Adversarial Feature Matching for Text Generation
The Generative Adversarial Network (GAN) has achieved great success in g...
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03/28/2017
Unifying the Stochastic Spectral Descent for Restricted Boltzmann Machines with Bernoulli or Gaussian Inputs
Stochastic gradient descent based algorithms are typically used as the g...
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11/17/2016
Boosting Variational Inference
Variational inference (VI) provides fast approximations of a Bayesian po...
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02/25/2016
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling
We unify slice sampling and Hamiltonian Monte Carlo (HMC) sampling, demo...
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12/23/2015
High-Order Stochastic Gradient Thermostats for Bayesian Learning of Deep Models
Learning in deep models using Bayesian methods has generated significant...
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11/13/2015
k-means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking
For regular particle filter algorithm or Sequential Monte Carlo (SMC) me...
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09/09/2015