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conftrace_

few-shot learning

3,578 papers

FSL FEWSHOT FEW-SHOT

Papers

Few-Shot Neural Radiance Fields under Unconstrained Illumination AAAI 2024 Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection AAAI 2024 Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model EMNLP 2024 Few-shot Question Generation for Reading Comprehension ACL 2024 Few-Shot Relation Extraction with Hybrid Visual Evidence COLING 2024 Few-Shot Shape Recognition by Learning Deep Shape-Aware Features WACV 2024 Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024 Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition NAACL 2024 Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CoNLL 2024 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024 FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NeurIPS 2024 Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 FlexKBQA: A Flexible LLM-Powered Framework for Few-Shot Knowledge Base Question Answering AAAI 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 FPT: Feature Prompt Tuning for Few-shot Readability Assessment NAACL 2024 From Nile Sands to Digital Hands: Machine Translation of Coptic Texts ACL 2024 Frozen CLIP Transformer Is an Efficient Point Cloud Encoder AAAI 2024 Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024 Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor Interspeech 2024 Gemini Goes to Med School: Exploring the Capabilities of Multimodal Large Language Models on Medical Challenge Problems & Hallucinations NAACL 2024 Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation NeurIPS 2024 Generate Like Experts: Multi-Stage Font Generation by Incorporating Font Transfer Process into Diffusion Models CVPR 2024 Generate Universal Adversarial Perturbations for Few-Shot Learning NeurIPS 2024 Generating Interpretations of Policy Announcements EMNLP 2024 Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models EMNLP 2024