S. Multi-source few-shot domain adaptation. arXiv preprintarXiv:2109.12391 (2021). Zhao, S. et al. Multi-source distilling domain adaptation. In Proceedings of the AAAI Conference on Artificial Intelligence 34, 12975–12983 (2020). Amosy, O. & Chechik, G. Coupled training for multi-source...
This is challenging compared to the more widely considered setting of few-shot meta-learning, due to the length of the computation graph involved. Therefore we propose an online shortest-path meta-learning framework that is both computationally tractable and practically effective for improving DA ...
46] has experienced a recent resurgence. This has largely been driven by its efficacy for few-shot deep learning via initial condition learning [12], optimizer learning [40] and embedding learning [50]. More generally it has been applied to improve optimization efficiency [1], reinforcement lear...
【ACL2020放榜!】事件抽取、关系抽取、NER、Few-Shot 相关论文整理 Adaptation Simplify the Usage of Lexicon in Chinese NER Single-/Multi-Source Cross-Lingual NER via... Recognition via Entity Span Detection with Unified Multimodal Transformer Multi-Domain Named Entity智能...
Multi-level domain adaptive learning for cross-domain detection. In: Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops. Seoul, South Korea: 2019. 3213−3219. Google Scholar [25] Wang T, Zhang Y P, Yuan L, Feng J S. Few-shot adaptive faster R-CNN...
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift Ruijia Xu1,†, Ziliang Chen1,†, Wangmeng Zuo2, Junjie Yan3, Liang Lin1,3∗ 1Sun Yat-sen University 2Harbin Institute of Technology 3SenseTime Research xurj3@mail2.sysu.edu.cn, c.ziliang@yahoo.com,...
Also, the health prognosis of target data under unknown conditions is a challenging online few-shot issue, which is still not effectively addressed. In addition, the limited knowledge learned from a single source domain may further limit the extraction of degradation features. To address these ...
fewshot_protonet landmark_uncertainty multiomics_mogonet multisite_neuroimg_adapt office_multisource_adapt configs README.md __init__.py config.py main.py model.py polypharmacy_gripnet toy_domain_adaptation video_loading README.md __init__.py kale tests .gitignore .pre-commit-config.yaml ....
Chen YS, Chiang SW, Wu ML (2021) A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction. Appl Intell 2021:1–19 Google Scholar Ohata EF, Chagas J, Bezerra GM et al (2021) A novel transfer learning approach for the classification...
Maize is a widely grown crop in China, and the relationships between agroclimatic parameters and maize yield are complicated, hence, accurate and timely yield prediction is challenging. Here, climate, satellite data, and meteorological indices were integ