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- [21] Exploring Few-Shot Fine-Tuning Strategies for Models of Visually Grounded Speech INTERSPEECH 2022, 2022, : 1416 - 1420
- [22] Fine-Tuning of CLIP in Few-Shot Scenarios via Supervised Contrastive Learning PATTERN RECOGNITION AND COMPUTER VISION, PT III, PRCV 2024, 2025, 15033 : 104 - 117
- [27] Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE, 2021, 35 : 9594 - 9602
- [29] Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation 2021 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL-HLT 2021), 2021, : 704 - 717
- [30] COMPARING THE EFFICACY OF FINE-TUNING AND META-LEARNING FOR FEW-SHOT POLICY IMITATION CONFERENCE ON LIFELONG LEARNING AGENTS, VOL 232, 2023, 232 : 878 - 908