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12/19/2022
Mu^2SLAM: Multitask, Multilingual Speech and Language Models
We present Mu^2SLAM, a multilingual sequence-to-sequence model pre-train...
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08/24/2022
Mastering Autonomous Assembly in Fusion Application with Learning-by-doing: a Peg-in-hole Study
Robotic peg-in-hole assembly is an essential task in robotic automation ...
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06/16/2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Due to the rising concerns on privacy protection, how to build machine l...
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05/31/2022
Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer
As an emerging secure learning paradigm in leveraging cross-agency priva...
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03/15/2022
Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation
Multilingual neural machine translation models are trained to maximize t...
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02/03/2022
mSLAM: Massively multilingual joint pre-training for speech and text
We present mSLAM, a multilingual Speech and LAnguage Model that learns c...
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02/01/2022
Examining Scaling and Transfer of Language Model Architectures for Machine Translation
Natural language understanding and generation models follow one of the t...
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06/08/2021
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Self-supervised pre-training of text representations has been successful...
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06/21/2020
AdvAug: Robust Adversarial Augmentation for Neural Machine Translation
In this paper, we propose a new adversarial augmentation method for Neur...
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02/01/2020
Learning to Detect Malicious Clients for Robust Federated Learning
Federated learning systems are vulnerable to attacks from malicious clie...
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12/24/2019
A Communication Efficient Vertical Federated Learning Framework
One critical challenge for applying today's Artificial Intelligence (AI)...
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10/22/2019
Abnormal Client Behavior Detection in Federated Learning
In federated learning systems, clients are autonomous in that their beha...
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06/06/2019
Robust Neural Machine Translation with Doubly Adversarial Inputs
Neural machine translation (NMT) often suffers from the vulnerability to...
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06/29/2018
Neural Machine Translation with Key-Value Memory-Augmented Attention
Although attention-based Neural Machine Translation (NMT) has achieved r...
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05/16/2018
Towards Robust Neural Machine Translation
Small perturbations in the input can severely distort intermediate repre...
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06/20/2017
THUMT: An Open Source Toolkit for Neural Machine Translation
This paper introduces THUMT, an open-source toolkit for neural machine t...
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05/02/2017
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
While end-to-end neural machine translation (NMT) has made remarkable pr...
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11/15/2016
Neural Machine Translation with Pivot Languages
While recent neural machine translation approaches have delivered state-...
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06/15/2016
Semi-Supervised Learning for Neural Machine Translation
While end-to-end neural machine translation (NMT) has made remarkable pr...
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12/15/2015
Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation
The attentional mechanism has proven to be effective in improving end-to...
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12/08/2015
