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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Critical Questions Generation: Motivation and Challenges CONLL 2024
Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024
RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction AAAI 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024
ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation CVPR 2024
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners CVPR 2024
Simple Semantic-Aided Few-Shot Learning CVPR 2024
Beyond Textual Constraints: Learning Novel Diffusion Conditions with Fewer Examples CVPR 2024
Chinese UMR annotation: Can LLMs help? COLING 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning AAAI 2024
OHTA: One-shot Hand Avatar via Data-driven Implicit Priors CVPR 2024
Keypoint Action Tokens Enable In-Context Imitation Learning in Robotics RSS 2024
Data-Efficient Graph Learning AAAI 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SEMEVAL 2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024
Conjoin after Decompose: Improving Few-Shot Performance of Named Entity Recognition COLING 2024
GOLEM: GOld Standard for Learning and Evaluation of Motifs COLING 2024
Continual Few-shot Event Detection via Hierarchical Augmentation Networks COLING 2024
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing AAAI 2024
Pixel Matching Network for Cross-Domain Few-Shot Segmentation WACV 2024
Cross-Domain Few-Shot Incremental Learning for Point-Cloud Recognition WACV 2024
How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment EMNLP 2024
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024
Generalizations across filler-gap dependencies in neural language models CONLL 2024