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ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

, , , , , and . CIKM, page 4359-4363. ACM, (2022)

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ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning., , , , , and . CIKM, page 4359-4363. ACM, (2022)Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer., , , , and . EMNLP (Findings), page 327-339. Association for Computational Linguistics, (2021)Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval., , , , and . EMNLP, page 7769-7781. Association for Computational Linguistics, (2022)Mutual Information Divergence: A Unified Metric for Multimodal Generative Models., , , , and . NeurIPS, (2022)TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models., , , , , , and . ACL (Findings), page 3291-3325. Association for Computational Linguistics, (2024)PruNeRF: Segment-Centric Dataset Pruning via 3D Spatial Consistency., , , , and . ICML, OpenReview.net, (2024)DialGraph: Sparse Graph Learning Networks for Visual Dialog., , , , and . CoRR, (2020)Semi-Parametric Video-Grounded Text Generation., , , and . CoRR, (2023)An Approach to Improve Classification Accuracy in Very Large Datasets., , and . AMCIS, page 229. Association for Information Systems, (2004)CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication., , , , , , , and . ACL (1), page 6495-6513. Association for Computational Linguistics, (2019)