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Few-Shot Learning

1013 directly classified papers

Papers per year

Papers

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning AAAI 2024
Self-Training Based Few-Shot Node Classification by Knowledge Distillation AAAI 2024
Wearable Sensor-Based Few-Shot Continual Learning on Hand Gestures for Motor-Impaired Individuals via Latent Embedding Exploitation IJCAI 2024
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples CVPR 2024
UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning AAAI 2024
Few-Shot Object Detection with Foundation Models CVPR 2024
IXA at SemEval-2023 Task 2: Baseline Xlm-Roberta-base Approach ACL 2023
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier Framework EMNLP 2023
Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis ACL 2023
Low-Resource Compositional Semantic Parsing with Concept Pretraining EACL 2023
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories EMNLP 2023
Using Planning to Improve Semantic Parsing of Instructional Texts ACL 2023
GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency ICML 2023
Reasoning Circuits: Few-shot Multi-hop Question Generation with Structured Rationales ACL 2023
Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers IJCAI 2023
MetaModulation: Learning Variational Feature Hierarchies for Few-Shot Learning with Fewer Tasks ICML 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning ICML 2023
With Prejudice to None: A Few-Shot, Multilingual Transfer Learning Approach to Detect Social Bias in Low Resource Languages ACL 2023
FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction ICCV 2023
Adaptive IMLE for Few-shot Pretraining-free Generative Modelling ICML 2023
MEWL: Few-shot multimodal word learning with referential uncertainty ICML 2023