Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays Sep 8, 2023 Few-Shot Learning Meta-Learning
— Unverified Does Correction Remain A Problem For Large Language Models? Aug 3, 2023 Few-Shot Learning
— Unverified DocumentNet: Bridging the Data Gap in Document Pre-Training Jun 15, 2023 document understanding Entity Retrieval
— Unverified DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Mar 15, 2021 Few-Shot Learning
— Unverified An Effective Anti-Aliasing Approach for Residual Networks Nov 20, 2020 Few-Shot Learning image-classification
— Unverified A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping Apr 9, 2025 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Generating Synthetic Datasets for Few-shot Prompt Tuning Oct 8, 2024 Few-Shot Learning MRPC
— Unverified Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Jun 28, 2021 Data Augmentation Diversity
— Unverified Block Expanded DINORET: Adapting Natural Domain Foundation Models for Retinal Imaging Without Catastrophic Forgetting Sep 25, 2024 Diagnostic Domain Adaptation
— Unverified GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing Jul 27, 2023 Contrastive Learning Earth Observation
— Unverified FlakyFix: Using Large Language Models for Predicting Flaky Test Fix Categories and Test Code Repair Jun 21, 2023 Code Repair Few-Shot Learning
— Unverified Diversity Over Quantity: A Lesson From Few Shot Relation Classification Dec 6, 2024 Diversity Few-Shot Learning
— Unverified Ancient Script Image Recognition and Processing: A Review Jun 24, 2025 Decipherment Few-Shot Learning
— Unverified Diversity Covariance-Aware Prompt Learning for Vision-Language Models Mar 3, 2025 Diversity Few-Shot Learning
— Unverified Addressing the Real-world Class Imbalance Problem in Dermatology Oct 9, 2020 Benchmarking Few-Shot Learning
— Unverified An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning Feb 22, 2025 ARC Continual Learning
— Unverified A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning Nov 6, 2024 Beat Tracking Few-Shot Learning
— Unverified GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning Apr 14, 2024 Extractive Question-Answering Few-Shot Learning
— Unverified Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Dec 23, 2022 Few-Shot Learning Generalization Bounds
— Unverified Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Nov 2, 2021 Diversity Few-Shot Learning
— Unverified Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study May 8, 2021 Action Unit Detection Attribute
— Unverified Distributionally Robust Weighted k-Nearest Neighbors Jun 7, 2020 Few-Shot Learning General Classification
— Unverified Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning Jun 23, 2024 Few-Shot Learning In-Context Learning
— Unverified BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine Aug 18, 2023 Few-Shot Learning Language Modeling
— Unverified An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients Mar 18, 2020 Few-Shot Learning Food Recognition
— Unverified Distilling Large Language Models for Network Active Queue Management Jan 28, 2025 Few-Shot Learning Management
— Unverified Distillation of encoder-decoder transformers for sequence labelling Feb 10, 2023 Decoder Few-Shot Learning
— Unverified Disentangling Questions from Query Generation for Task-Adaptive Retrieval Sep 25, 2024 Few-Shot Learning Information Retrieval
— Unverified Bioacoustic Event Detection with prototypical networks and data augmentation Dec 16, 2021 Data Augmentation Event Detection
— Unverified An Analysis of LLM Fine-Tuning and Few-Shot Learning for Flaky Test Detection and Classification Feb 4, 2025 Few-Shot Learning
— Unverified Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images Mar 23, 2020 Few-Shot Learning
— Unverified Disentangled Generation with Information Bottleneck for Few-Shot Learning Nov 29, 2022 Disentanglement Diversity
— Unverified AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements Oct 1, 2022 Few-Shot Learning Marketing
— Unverified From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams Jun 11, 2022 BIG-bench Machine Learning Few-Shot Learning
— Unverified Discriminative Few-Shot Learning Based on Directional Statistics Jun 5, 2019 Few-Shot Learning General Classification
— Unverified Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning Jun 11, 2024 Few-Shot Learning Task 2
— Unverified Discrete Few-Shot Learning for Pan Privacy Jun 23, 2020 Few-Shot Learning
— Unverified Bilevel Programming for Hyperparameter Optimization and Meta-Learning Jun 13, 2018 Few-Shot Learning Hyperparameter Optimization
— Unverified Analyzing Text Representations by Measuring Task Alignment May 31, 2023 Classification Clustering
— Unverified Incremental Few-Shot Learning for Pedestrian Attribute Recognition Jun 2, 2019 Attribute Few-Shot Learning
— Unverified DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models May 26, 2025 cross-modal alignment Domain Generalization
— Unverified Bi-Level Meta-Learning for Few-Shot Domain Generalization Jan 1, 2023 Domain Generalization Few-Shot Learning
— Unverified Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Nov 19, 2020 Few-Shot Learning Image Segmentation
— Unverified Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation Oct 17, 2020 Decoder Few-Shot Learning
— Unverified Identifying and Analyzing Task-Encoding Tokens in Large Language Models Jan 20, 2024 Computational Efficiency Few-Shot Learning
— Unverified Gaussian Process Conditional Density Estimation Oct 30, 2018 Density Estimation Few-Shot Learning
— Unverified A Survey of Diffusion Models in Natural Language Processing May 24, 2023 Few-Shot Learning Machine Translation
— Unverified Differentially Private Meta-Learning Sep 12, 2019 Federated Learning Few-Shot Learning
— Unverified Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet? Mar 4, 2024 Few-Shot Learning In-Context Learning
— Unverified GCCN: Global Context Convolutional Network Oct 22, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified 