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Improving Zero-Shot Translation by Disentangling Positional Information
Multilingual neural machine translation has shown the capability of dire...
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Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms
Active learning (AL) algorithms may achieve better performance with fewe...
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Cross-Modal Transfer Learning for Multilingual Speech-to-Text Translation
We propose an effective approach to utilize pretrained speech and text m...
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DeFuzz: Deep Learning Guided Directed Fuzzing
Fuzzing is one of the most effective technique to identify potential sof...
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Deep Transformers with Latent Depth
The Transformer model has achieved state-of-the-art performance in many ...
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Multilingual Translation with Extensible Multilingual Pretraining and Finetuning
Recent work demonstrates the potential of multilingual pretraining of cr...
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AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types
Can one build a knowledge graph (KG) for all products in the world? Know...
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Cross-lingual Retrieval for Iterative Self-Supervised Training
Recent studies have demonstrated the cross-lingual alignment ability of ...
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Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data
Product catalogs are valuable resources for eCommerce website. In the ca...
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Citing is earlier than Cited?
Generally, it is common that cited papers are earlier than citing papers...
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Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation
There has been recent success in pre-training on monolingual data and fi...
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Computation Rate Maximization in Wireless Powered MEC with Spread Spectrum Multiple Access
The integration of mobile edge computing (MEC) and wireless power transf...
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Multilingual Denoising Pre-training for Neural Machine Translation
This paper demonstrates that multilingual denoising pre-training produce...
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Improved Variational Neural Machine Translation by Promoting Mutual Information
Posterior collapse plagues VAEs for text, especially for conditional tex...
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FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow
Most sequence-to-sequence (seq2seq) models are autoregressive; they gene...
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Efficient Knowledge Graph Accuracy Evaluation
Estimation of the accuracy of a large-scale knowledge graph (KG) often r...
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Findings of the First Shared Task on Machine Translation Robustness
We share the findings of the first shared task on improving robustness o...
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On Evaluation of Adversarial Perturbations for Sequence-to-Sequence Models
Adversarial examples --- perturbations to the input of a model that elic...
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Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks
This work considers the design of online transmission policy in a wirele...
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A Corpus for Multilingual Document Classification in Eight Languages
Cross-lingual document classification aims at training a document classi...
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Deep Voice: Real-time Neural Text-to-Speech
We present Deep Voice, a production-quality text-to-speech system constr...
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