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04/27/2022
Data-Driven Adaptive Simultaneous Machine Translation
In simultaneous translation (SimulMT), the most widely used strategy is ...
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11/05/2021
Exploiting a Zoo of Checkpoints for Unseen Tasks
There are so many models in the literature that it is difficult for prac...
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05/12/2021
Better than BERT but Worse than Baseline
This paper compares BERT-SQuAD and Ab3P on the Abbreviation Definition I...
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09/21/2020
DiffWave: A Versatile Diffusion Model for Audio Synthesis
In this work, we propose DiffWave, a versatile Diffusion probabilistic m...
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03/25/2020
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss
Scaling up the vocabulary and complexity of current visual understanding...
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10/23/2018
Language Modeling at Scale
We show how Zipf's Law can be used to scale up language modeling (LM) to...
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08/27/2018
Large Margin Neural Language Model
We propose a large margin criterion for training neural language models....
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12/28/2017
Topic Compositional Neural Language Model
We propose a Topic Compositional Neural Language Model (TCNLM), a novel ...
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11/16/2017
LDMNet: Low Dimensional Manifold Regularized Neural Networks
Deep neural networks have proved very successful on archetypal tasks for...
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05/11/2017
Reducing Bias in Production Speech Models
Replacing hand-engineered pipelines with end-to-end deep learning system...
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12/10/2016
Active Learning for Speech Recognition: the Power of Gradients
In training speech recognition systems, labeling audio clips can be expe...
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12/21/2015
GraphConnect: A Regularization Framework for Neural Networks
Deep neural networks have proved very successful in domains where large ...
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08/24/2012