• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 228 matches

• 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
• 
  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
• 
  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
• 
  Kishor Kayyar Lakshminarayana, Christian Dittmar, Nicola Pia, Emanuël A. P. Habets:
  Low-Resource Text-to-Speech Using Specific Data and Noise Augmentation. EUSIPCO 2023: 61-65
• 
  Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
  The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge. ICASSP 2023: 1-2
• 
  Chuncheng Chi, Fuxue Li, Hong Yan, Hui Guan, Zhongchao Zhao:
  A Data Augmentation Method Based on Sub-tree Exchange for Low-Resource Neural Machine Translation. ICIC (4) 2023: 646-657
• 
  Fuxue Li, Zhongchao Zhao, Chuncheng Chi, Hong Yan, Zhen Zhang:
  A Content Word Augmentation Method for Low-Resource Neural Machine Translation. ICIC (4) 2023: 720-731
• 
  Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
  KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. ICLR 2023
• 
  Akshaya Vishnu Kudlu Shanbhogue, Ran Xue, Soumya Saha, Daniel Zhang, Ashwinkumar Ganesan:
  Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies. IWSLT@ACL 2023: 241-250
• 
  Daehyeok Kim, Vyas Sekar, Srinivasan Seshan:
  ExoPlane: An Operating System for On-Rack Switch Resource Augmentation. NSDI 2023: 1257-1272
• 
  Sangil Ha, Euteum Choi, Dongbeom Ko, Sungjoo Kang, Seongjin Lee:
  Efficient Resource Augmentation of Resource Constrained UAVs Through EdgeCPS. SAC 2023: 679-682
• 
  Prawaal Sharma, Navneet Goyal, Poonam Goyal, Vishnupriyan R:
  A fully automated and scalable Parallel Data Augmentation for Low Resource Languages using image and text analytics. SAC 2023: 358-361
• 
  Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar, Dinesh Manocha:
  BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER. SIGIR 2023: 1853-1858
• 
  Joanne Z. Liu, Frederick A. Varone, John K. Volpe, Leo Kobayashi, Geoffrey A. Capraro:
  Internet-of-Things Augmentation of Public Access Naloxone Containers to Establish a Distributed Network for Resource Monitoring and Utilization Research (NaloxBox+). UEMCON 2023: 65-71
• 
  Anders Giovanni Møller, Jacob Aarup Dalsgaard, Arianna Pera, Luca Maria Aiello:
  Is a prompt and a few samples all you need? Using GPT-4 for data augmentation in low-resource classification tasks. CoRR abs/2304.13861 (2023)
• 
  Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
  The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge. CoRR abs/2305.01194 (2023)

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