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12RoBERTa: A Robustly Optimized BERT Pretraining Approach
Y. Liu, M. Ott, N. Goyal, J. Du, M. Joshi, D. Chen, O. Levy, M. Lewis, L. Zettlemoyer, and V. Stoyanov. (2019)
16 hours ago by @albinzehe
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bert
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13BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
J. Devlin, M. Chang, K. Lee, and K. Toutanova. NAACL-HLT (1), page 4171-4186. Association for Computational Linguistics, (2019)
18 hours ago by @albinzehe
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bert
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5Universal Language Model Fine-tuning for Text Classification
J. Howard, and S. Ruder. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), page 328--339. (2018)
20 hours ago by @albinzehe
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16Deep contextualized word representations
M. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer. (2018)cite arxiv:1802.05365Comment: NAACL 2018. Originally posted to openreview 27 Oct 2017. v2 updated for NAACL camera ready.
20 hours ago by @albinzehe
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elmo
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4Two-Stream Convolutional Networks for Action Recognition in Videos
K. Simonyan, and A. Zisserman. Advances in Neural Information Processing Systems, 27, Curran Associates, Inc., (2014)
20 hours ago by @albinzehe
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imagenet
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10Fully convolutional networks for semantic segmentation.
J. Long, E. Shelhamer, and T. Darrell. CVPR, page 3431-3440. IEEE Computer Society, (2015)
20 hours ago by @albinzehe
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12Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L. Li, K. Li, and L. Fei-Fei. 2009 IEEE conference on computer vision and pattern recognition, page 248-255. Ieee, (2009)
20 hours ago by @albinzehe
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4Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik. 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 00, page 580-587. (June 2014)
20 hours ago by @albinzehe
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2Parameter-Efficient Transfer Learning for NLP
N. Houlsby, A. Giurgiu, S. Jastrzebski, B. Morrone, Q. de Laroussilhe, A. Gesmundo, M. Attariyan, and S. Gelly. (Feb 2, 2019)
10 months ago by @tomvoelker
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NLP
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1PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning
N. Jofche, K. Mishev, R. Stojanov, M. Jovanovik, E. Zdravevski, and D. Trajanov. Computers, 12 (1): 17 (January 2023)
2 years ago by @mjovanovik
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2Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning
N. Jofche, K. Mishev, R. Stojanov, M. Jovanovik, E. Zdravevski, and D. Trajanov. Procedia Computer Science, (August 2022)
2 years ago by @mjovanovik
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3Design Principles for Shared Maintenance Analytics in Fleet Management
C. Janiesch, J. Wanner, and L. Herm. 16th International Conference on Design Science Research in Information Systems and Technology (DESRIST). Lecture Notes in Computer Science, 12807, page 236-247. Kristiansand, Springer, (2021)
2 years ago by @winkelmann
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2Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention
S. Khan. BOHR International Journal of Computer Science, 1 (1): 31-36 (April 2022)
2 years ago by @bijcs
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DeepLearning
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2Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention
S. Khan. BOHR International Journal of Research on Natural Language Computing, 1 (1): 1-7 (April 2022)
3 years ago by @ijrnlcjournal
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4Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan, R. Girshick, V. Ramanathan, K. He, M. Paluri, Y. Li, A. Bharambe, and L. van der Maaten. (2018)cite arxiv:1805.00932Comment: Technical report.
3 years ago by @msteininger
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5Universal Language Model Fine-tuning for Text Classification
J. Howard, and S. Ruder. (2018)cite arxiv:1801.06146Comment: ACL 2018, fixed denominator in Equation 3, line 3.
3 years ago by @msteininger
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nlp
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2Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation.
S. Sato, J. Sakuma, N. Yoshinaga, M. Toyoda, and M. Kitsuregawa. EMNLP (Findings), page 4269-4279. Association for Computational Linguistics, (2020)
4 years ago by @frankyanpan
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Domain-adaptation
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4Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan, R. Girshick, V. Ramanathan, K. He, M. Paluri, Y. Li, A. Bharambe, and L. van der Maaten. (2018)cite arxiv:1805.00932Comment: Technical report.
5 years ago by @albinzehe
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12RoBERTa: A Robustly Optimized BERT Pretraining Approach

13BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

5Universal Language Model Fine-tuning for Text Classification

16Deep contextualized word representations

4Two-Stream Convolutional Networks for Action Recognition in Videos

10Fully convolutional networks for semantic segmentation.

12Imagenet: A large-scale hierarchical image database

4Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

2Parameter-Efficient Transfer Learning for NLP

1PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning

2Named Entity Recognition and Knowledge Extraction from Pharmaceutical Texts using Transfer Learning

3Design Principles for Shared Maintenance Analytics in Fleet Management

2Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention

2Hindi/Bengali Sentiment Analysis using Transfer Learning and Joint Dual Input Learning with Self Attention

4Exploring the Limits of Weakly Supervised Pretraining

5Universal Language Model Fine-tuning for Text Classification

2Vocabulary Adaptation for Domain Adaptation in Neural Machine Translation.

4Exploring the Limits of Weakly Supervised Pretraining

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