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Publication search results
found 247 matches
- 2024
- Ioannis Caragiannis, Aris Filos-Ratsikas, Søren Kristoffer Stiil Frederiksen, Kristoffer Arnsfelt Hansen, Zihan Tan:
Truthful facility assignment with resource augmentation: an exact analysis of serial dictatorship. Math. Program. 203(1): 901-930 (2024) - Sihan Song, Furao Shen, Jian Zhao:
RoPDA: Robust Prompt-Based Data Augmentation for Low-Resource Named Entity Recognition. AAAI 2024: 19017-19025 - Fatima Zahra Qachfar, Bryan Tuck, Rakesh M. Verma:
DetectiveReDASers at HSD-2Lang 2024: A New Pooling Strategy with Cross-lingual Augmentation and Ensembling for Hate Speech Detection in Low-resource Languages. CASE 2024: 199-204 - Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, YoungBin Kim:
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. EACL (Student Research Workshop) 2024: 1-8 - Onkar Litake, Niraj Yagnik, Shreyas Labhsetwar:
IndiText Boost: Text Augmentation for Low Resource India Languages. CoRR abs/2401.13085 (2024) - Juhwan Choi, Kyohoon Jin, Junho Lee, Sangmin Song, Youngbin Kim:
AutoAugment Is What You Need: Enhancing Rule-based Augmentation Methods in Low-resource Regimes. CoRR abs/2402.05584 (2024) - Minju Seo, Jinheon Baek, James Thorne, Sung Ju Hwang:
Retrieval-Augmented Data Augmentation for Low-Resource Domain Tasks. CoRR abs/2402.13482 (2024) - Vishwanath Pratap Singh, Md. Sahidullah, Tomi Kinnunen:
ChildAugment: Data Augmentation Methods for Zero-Resource Children's Speaker Verification. CoRR abs/2402.15214 (2024) - Kyohoon Jin, Junho Lee, Juhwan Choi, Sangmin Song, Youngbin Kim:
Enhancing Effectiveness and Robustness in a Low-Resource Regime via Decision-Boundary-aware Data Augmentation. CoRR abs/2403.15512 (2024) - 2023
- Vincent Fagnon:
Prédiction et augmentation de ressources à la rescousse de l'algorithmique. (Prediction and resource augmentation come to the rescue of algorithmics). Grenoble Alpes University, France, 2023 - Sukmun Oh, Kwanghun Chung, Jiwoong Choi:
Resource-Oriented Augmentation of a Train Timetable. IEEE Access 11: 114283-114290 (2023) - Subbarayan Anitha, Theagarajan Padma, V. Valli Mayil:
A generic resource augmentation architecture for efficient mobile communication. Concurr. Comput. Pract. Exp. 35(21) (2023) - Thai Nguyen Quoc, Huong Le Thanh, Hanh Pham Van:
Low-Resource Neural Machine Translation Improvement Using Data Augmentation Strategies. Informatica (Slovenia) 47(3) (2023) - Huan Vu, Ngoc Dung Bui:
On the scalability of data augmentation techniques for low-resource machine translation between Chinese and Vietnamese. J. Inf. Telecommun. 7(2): 241-253 (2023) - Fuxue Li, Chuncheng Chi, Hong Yan, Beibei Liu, Mingzhi Shao:
STA: An efficient data augmentation method for low-resource neural machine translation. J. Intell. Fuzzy Syst. 45(1): 121-132 (2023) - Aiman Solyman, Marco Zappatore, Zhenyu Wang, Zeinab Mahmoud, Ali Alfatemi, Ashraf Osman Ibrahim, Lubna Abdel Kareim Gabralla:
Optimizing the impact of data augmentation for low-resource grammatical error correction. J. King Saud Univ. Comput. Inf. Sci. 35(6): 101572 (2023) - Virender Kadyan, Taniya Hasija, Amitoj Singh:
Prosody features based low resource Punjabi children ASR and T-NT classifier using data augmentation. Multim. Tools Appl. 82(3): 3973-3994 (2023) - Tao Zhang, Congying Xia, Zhiwei Liu, Shu Zhao, Hao Peng, Philip S. Yu:
Domain-Invariant Feature Progressive Distillation with Adversarial Adaptive Augmentation for Low-Resource Cross-Domain NER. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 76:1-76:21 (2023) - Yunhui Qin, Zhongshan Zhang, Wei Huangfu, Haijun Zhang, Keping Long:
Cooperative Resource Allocation Based on Soft Actor-Critic With Data Augmentation in Cellular Network. IEEE Wirel. Commun. Lett. 12(3): 396-400 (2023) - Junfan Chen, Richong Zhang, Zheyan Luo, Chunming Hu, Yongyi Mao:
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime. AAAI 2023: 12626-12634 - Peihong Li, Fei Cai, Siyuan Wang, Shixian Liu, Dengfeng Liu:
A Review: Data and Semantic Augmentation for Relation Classification in Low Resource. ACAI 2023: 195-201 - Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, Martijn Wieling:
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data Augmentation. ACL (1) 2023: 715-729 - Krishna Garg, Jishnu Ray Chowdhury, Cornelia Caragea:
Data Augmentation for Low-Resource Keyphrase Generation. ACL (Findings) 2023: 8442-8455 - Sreyan Ghosh, Utkarsh Tyagi, Manan Suri, Sonal Kumar, Ramaneswaran S, Dinesh Manocha:
ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER. ACL (1) 2023: 104-125 - Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti:
Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks. ACL (Findings) 2023: 8619-8629 - Adir Rahamim, Guy Uziel, Esther Goldbraich, Ateret Anaby-Tavor:
Text Augmentation Using Dataset Reconstruction for Low-Resource Classification. ACL (Findings) 2023: 7389-7402 - Francesco Nespoli, Daniel Barreda, Patrick A. Naylor:
Zero Shot Text to Speech Augmentation for Automatic Speech Recognition on Low-Resource Accented Speech Corpora. ACSSC 2023: 1080-1084 - Tanel Alumäe, Jiaming Kong, Daniil Robnikov:
Dialect Adaptation and Data Augmentation for Low-Resource ASR: Taltech Systems for the Madasr 2023 Challenge. ASRU 2023: 1-7 - Nikolaos Stylianou, Despoina Chatzakou, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris:
Domain-Aligned Data Augmentation for Low-Resource and Imbalanced Text Classification. ECIR (2) 2023: 172-187 - Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar, Ramaneswaran S, S. Sakshi, Utkarsh Tyagi, Dinesh Manocha:
DALE: Generative Data Augmentation for Low-Resource Legal NLP. EMNLP 2023: 8511-8565
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