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Few-Shot Learning

694 papers

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103
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Papers

Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning CVPR 2024 Frozen Feature Augmentation for Few-Shot Image Classification CVPR 2024 Generating Images of Rare Concepts Using Pre-trained Diffusion Models AAAI 2024 GraphQL Query Generation: A Large Training and Benchmarking Dataset EMNLP 2024 HateCOT: An Explanation-Enhanced Dataset for Generalizable Offensive Speech Detection via Large Language Models EMNLP 2024 HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images CVPR 2024 How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NeurIPS 2024 Hybrid Mamba for Few-Shot Segmentation NeurIPS 2024 Instance-based Max-margin for Practical Few-shot Recognition CVPR 2024 IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning EMNLP 2024 Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training AAAI 2024 LabelPrompt: Effective prompt-based learning for relation classification ACML 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024 Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition ACL 2024 Learning with Unreliability: Fast Few-shot Voxel Radiance Fields with Relative Geometric Consistency CVPR 2024 LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ACL 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation AAAI 2024 Meta-Point Learning and Refining for Category-Agnostic Pose Estimation CVPR 2024 No Time to Train: Empowering Non-Parametric Networks for Few-shot 3D Scene Segmentation CVPR 2024 OHTA: One-shot Hand Avatar via Data-driven Implicit Priors CVPR 2024 One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection NeurIPS 2024 OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation EMNLP 2024