Few-Shot Learning
694 papers
Papers per year
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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