An evaluation of GPT models for phenotype concept recognition Sep 29, 2023 Few-Shot Learning Specificity
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— Unverified 00 AnyTrans: Translate AnyText in the Image with Large Scale Models Jun 17, 2024 Few-Shot Learning Translation
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— Unverified 00 Applying Large Language Models and Chain-of-Thought for Automatic Scoring Nov 30, 2023 Few-Shot Learning Prompt Engineering
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— Unverified 00 AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing Jun 11, 2023 Few-Shot Learning
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— Unverified 00 A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots Jul 13, 2022 Chatbot Few-Shot Learning
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— Unverified 00 A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Jul 2, 2020 Few-Shot Learning Learning Theory
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— Unverified 00 A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification Nov 16, 2021 Few-Shot Learning Few-Shot Text Classification
— Unverified 00 A Similarity Paradigm Through Textual Regularization Without Forgetting Feb 20, 2025 Domain Generalization Few-Shot Learning
— Unverified 00 A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class Aug 12, 2024 Classification Few-Shot Image Classification
— Unverified 00 Supervised Graph Contrastive Learning for Few-shot Node Classification Mar 29, 2022 Classification Contrastive Learning
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— Unverified 00 Assessing the Performance of the DINOv2 Self-supervised Learning Vision Transformer Model for the Segmentation of the Left Atrium from MRI Images Nov 14, 2024 Anatomy Few-Shot Learning
— Unverified 00 Assessing two novel distance-based loss functions for few-shot image classification Sep 29, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified 00 Associative Adversarial Learning Based on Selective Attack Dec 28, 2021 Adversarial Robustness Few-Shot Learning
— Unverified 00 Assume, Augment and Learn: Unsupervised Few-Shot Meta-Learning via Random Labels and Data Augmentation Feb 26, 2019 Data Augmentation Few-Shot Learning
— Unverified 00 A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Oct 14, 2024 Few-Shot Learning Hyperparameter Optimization
— Unverified 00 A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Oct 21, 2021 Few-Shot Learning
— Unverified 00 A Study of Few-Shot Audio Classification Dec 2, 2020 Audio Classification BIG-bench Machine Learning
— Unverified 00 A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems Apr 18, 2022 Few-Shot Learning Language Modelling
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— Unverified 00 A Survey of Deep Learning for Low-Shot Object Detection Dec 6, 2021 Deep Learning Few-Shot Learning
— Unverified 00 A Survey of Deep Visual Cross-Domain Few-Shot Learning Mar 16, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 00 A Survey of Few-Shot Learning for Biomedical Time Series May 3, 2024 Few-Shot Learning Time Series
— Unverified 00 A Survey of Learning on Small Data: Generalization, Optimization, and Challenge Jul 29, 2022 Active Learning Contrastive Learning
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— Unverified 00 A Systematic Review of Few-Shot Learning in Medical Imaging Sep 20, 2023 Articles Few-Shot Learning
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— Unverified 00 A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer Nov 29, 2023 Few-Shot Learning Transductive Learning
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