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Fast and Accurate Deep Bidirectional Language Representations for
  Unsupervised Learning

Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
17 April 2020
Joongbo Shin
Yoonhyung Lee
Seunghyun Yoon
Kyomin Jung
    OOD
ArXiv (abs)PDFHTML

Papers citing "Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning"

5 / 5 papers shown
SwinIA: Self-Supervised Blind-Spot Image Denoising without Convolutions
SwinIA: Self-Supervised Blind-Spot Image Denoising without ConvolutionsIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Mikhail Papkov
P. Chizhov
L. Parts
ViT
288
2
0
31 Dec 2024
HypR: A comprehensive study for ASR hypothesis revising with a reference
  corpus
HypR: A comprehensive study for ASR hypothesis revising with a reference corpusInterspeech (Interspeech), 2023
Yi-Wei Wang
Keda Lu
Kuan-Yu Chen
357
4
0
18 Sep 2023
Transcormer: Transformer for Sentence Scoring with Sliding Language
  Modeling
Transcormer: Transformer for Sentence Scoring with Sliding Language ModelingNeural Information Processing Systems (NeurIPS), 2022
Kaitao Song
Yichong Leng
Xu Tan
Yicheng Zou
Tao Qin
Dongsheng Li
286
11
0
25 May 2022
SAITS: Self-Attention-based Imputation for Time Series
SAITS: Self-Attention-based Imputation for Time SeriesExpert systems with applications (ESWA), 2022
Wenjie Du
David Cote
Wenshu Fan
AI4TS
625
445
0
17 Feb 2022
A Masked Segmental Language Model for Unsupervised Natural Language
  Segmentation
A Masked Segmental Language Model for Unsupervised Natural Language SegmentationSpecial Interest Group on Computational Morphology and Phonology Workshop (SIGMORPHON), 2021
C.M. Downey
Fei Xia
Gina-Anne Levow
Shane Steinert-Threlkeld
188
14
0
16 Apr 2021
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