Who cites «Matching Networks for One Shot Learning»
- Language Models are Few-Shot LearnersarXiv:2005.14165Tom B. Brown, Benjamin Mann, Nick Ryder, et al.2020 · 14,178 citations
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep NetworksarXiv:1703.03400Chelsea Finn, Pieter Abbeel, Sergey Levine2017 · 6,549 citations
- Continual Lifelong Learning with Neural Networks: A ReviewarXiv:1802.07569German I. Parisi, Ronald Kemker, Jose L. Part, et al.2018 · 3,224 citations
- Flamingo: a Visual Language Model for Few-Shot LearningarXiv:2204.14198Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, et al.2022 · 2,246 citations
- Atlas: Few-shot Learning with Retrieval Augmented Language ModelsarXiv:2208.03299Gautier Izacard, Patrick Lewis, Maria Lomeli, et al.2022 · 673 citations
- Massively Multilingual Neural Machine Translation in the Wild: Findings and ChallengesarXiv:1907.05019Naveen Arivazhagan, Ankur Bapna, Orhan Firat, et al.2019 · 564 citations
- RL²: Fast Reinforcement Learning via Slow Reinforcement LearningarXiv:1611.02779Yan Duan, John Schulman, Xi Chen, et al.2016 · 524 citations
- Meta-Learning for Low-Resource Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Jiatao Gu, Yong Wang, Yun Chen, et al.2018 · 456 citations
- Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
- True Few-Shot Learning with Language ModelsarXiv:2105.11447Ethan Perez, Douwe Kiela, Kyunghyun Cho2021 · 412 citations
- Diverse Few-Shot Text Classification with Multiple MetricsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mo Yu, Xiaoxiao Guo, Jinfeng Yi, et al.2018 · 291 citations
- Induction Networks for Few-Shot Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Ruiying Geng, Binhua Li, Yongbin Li, et al.2019 · 263 citations
- Multimodal Few-Shot Learning with Frozen Language ModelsarXiv:2106.13884Maria Tsimpoukelli, Jacob Menick, Serkan Cabi, et al.2021 · 258 citations
- SUMBT: Slot-Utterance Matching for Universal and Scalable Belief TrackingAnnual Meeting of the Association for Computational Linguistics (ACL)Hwaran Lee, Jinsik Lee, Tae-Yoon Kim2019 · 258 citations
- Personalizing Dialogue Agents via Meta-LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Andrea Madotto, Zhaojiang Lin, Chien-Sheng Wu, et al.2019 · 246 citations
- Few-Shot and Zero-Shot Multi-Label Learning for Structured Label SpacesConference on Empirical Methods in Natural Language Processing (EMNLP)Anthony Rios, Ramakanth Kavuluru2018 · 246 citations
- CONTaiNER: Few-Shot Named Entity Recognition via Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca Passonneau, et al.2022 · 234 citations
- Zero-Shot Cross-Lingual Transfer with Meta LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Farhad Nooralahzadeh, Giannis Bekoulis, Johannes Bjerva, et al.2020 · 171 citations
- AutoML-GPT: Automatic Machine Learning with GPTarXiv:2305.02499Shujian Zhang, Chengyue Gong, Lemeng Wu, et al.2023 · 52 citations
- Template-assisted Contrastive Learning of Task-oriented Dialogue Sentence EmbeddingsAnnual Meeting of the Association for Computational Linguistics (ACL)Minsik Oh, Jiwei Li, Guoyin Wang2026 · 1 citation
- Decoupling Generalization and Adaptation in Meta-Learning for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitin Vetcha, Binqian Xu, Dianbo Liu2026
- Dual-Axis Compositional Contrastive Few-Shot Learning using Prototypes Across Linguistic and Semantic Dimensions for Indic Low-Resource Multilingual NLUWorkshop on Language Technology for Equality, Diversity, InclusionKathakali Mitra, Sakshi Singh, Sree Nithish Reddy Gunapati, et al.2026
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