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09/13/2022
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching
Previous studies have proved that cross-lingual knowledge distillation c...
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02/24/2022
Fully Self-Supervised Learning for Semantic Segmentation
In this work, we present a fully self-supervised framework for semantic ...
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02/14/2022
Semantic Matching from Different Perspectives
In this paper, we pay attention to the issue which is usually overlooked...
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10/08/2021
Maximize the Exploration of Congeneric Semantics for Weakly Supervised Semantic Segmentation
With the increase in the number of image data and the lack of correspond...
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05/12/2021
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders
Encoder pre-training is promising in end-to-end Speech Translation (ST),...
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11/30/2020
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Large amounts of data has made neural machine translation (NMT) a big su...
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09/17/2020
Code-switching pre-training for neural machine translation
This paper proposes a new pre-training method, called Code-Switching Pre...
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04/05/2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Pre-trained language models like BERT have proven to be highly performan...
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01/03/2020
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Chinese keyword spotting is a challenging task as there is no visual bla...
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09/17/2019
K-BERT: Enabling Language Representation with Knowledge Graph
Pre-trained language representation models, such as BERT, capture a gene...
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09/12/2019
UER: An Open-Source Toolkit for Pre-training Models
Existing works, including ELMO and BERT, have revealed the importance of...
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05/18/2018
