Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic Mar 26, 2024 Domain Generalization Few-Shot Learning
— Unverified Automate Knowledge Concept Tagging on Math Questions with LLMs Mar 26, 2024 Few-Shot Learning Math
— Unverified Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases Mar 25, 2024 Few-Shot Learning
— Unverified SegICL: A Multimodal In-context Learning Framework for Enhanced Segmentation in Medical Imaging Mar 25, 2024 Few-Shot Learning Image Segmentation
— Unverified A Little Leak Will Sink a Great Ship: Survey of Transparency for Large Language Models from Start to Finish Mar 24, 2024 Few-Shot Learning
— Unverified Cross-domain Multi-modal Few-shot Object Detection via Rich Text Mar 24, 2024 Cross-Domain Few-Shot Domain Adaptation
Code Code Available Boosting Few-Shot Learning via Attentive Feature Regularization Mar 23, 2024 Few-Shot Learning
— Unverified Comprehensive Evaluation and Insights into the Use of Large Language Models in the Automation of Behavior-Driven Development Acceptance Test Formulation Mar 22, 2024 Few-Shot Learning In-Context Learning
Code Code Available Learning-to-Learn the Wave Angle Estimation Mar 21, 2024 Few-Shot Learning Meta-Learning
— Unverified Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting Mar 20, 2024 Domain Adaptation Few-Shot Learning
— Unverified LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images Mar 19, 2024 Few-Shot Learning image-classification
— Unverified Pragmatic Competence Evaluation of Large Language Models for the Korean Language Mar 19, 2024 Few-Shot Learning Multiple-choice
Code Code Available CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite Mar 18, 2024 Contrastive Learning Data Augmentation
— Unverified Towards Understanding the Relationship between In-context Learning and Compositional Generalization Mar 18, 2024 Few-Shot Learning In-Context Learning
— Unverified Better (pseudo-)labels for semi-supervised instance segmentation Mar 18, 2024 Few-Shot Learning image-classification
— Unverified PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Mar 18, 2024 Continual Learning Few-Shot Learning
— Unverified Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding Mar 17, 2024 Few-Shot Learning Language Modelling
— Unverified Investigating grammatical abstraction in language models using few-shot learning of novel noun gender Mar 15, 2024 Decoder Few-Shot Learning
— Unverified On the low-shot transferability of [V]-Mamba Mar 15, 2024 Few-Shot Learning Mamba
— Unverified Segmentation of Knee Bones for Osteoarthritis Assessment: A Comparative Analysis of Supervised, Few-Shot, and Zero-Shot Learning Approaches Mar 13, 2024 Few-Shot Learning Morphological Analysis
— Unverified Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning Mar 13, 2024 Cloud Computing Few-Shot Learning
— Unverified Search-based Optimisation of LLM Learning Shots for Story Point Estimation Mar 13, 2024 Few-Shot Learning Meta-Learning
— Unverified Agile gesture recognition for low-power applications: customisation for generalisation Mar 12, 2024 Few-Shot Learning Gesture Recognition
— Unverified Rethinking ASTE: A Minimalist Tagging Scheme Alongside Contrastive Learning Mar 12, 2024 Aspect Sentiment Triplet Extraction Contrastive Learning
— Unverified Boosting keyword spotting through on-device learnable user speech characteristics Mar 12, 2024 Few-Shot Learning Keyword Spotting
Code Code Available MENTOR: Multilingual tExt detectioN TOward leaRning by analogy Mar 12, 2024 Few-Shot Learning Scene Text Detection
— Unverified Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings Mar 11, 2024 Few-Shot Learning object-detection
— Unverified FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning Mar 10, 2024 Federated Learning Few-Shot Learning
— Unverified Few-shot Learning on Heterogeneous Graphs: Challenges, Progress, and Prospects Mar 10, 2024 Few-Shot Learning
— Unverified Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion Mar 7, 2024 Few-Shot Learning Graph Neural Network
— Unverified TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning Mar 7, 2024 Continual Learning Definition Extraction
— Unverified Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learning Mar 7, 2024 class-incremental learning Class Incremental Learning
— Unverified On Transfer in Classification: How Well do Subsets of Classes Generalize? Mar 6, 2024 Few-Shot Learning Transfer Learning
— Unverified Boosting Meta-Training with Base Class Information for Few-Shot Learning Mar 6, 2024 Few-Shot Learning Meta-Learning
— Unverified Japanese-English Sentence Translation Exercises Dataset for Automatic Grading Mar 6, 2024 Few-Shot Learning In-Context Learning
— Unverified Designing Informative Metrics for Few-Shot Example Selection Mar 6, 2024 Few-Shot Learning few-shot-ner
— Unverified Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning Mar 5, 2024 Event Causality Identification Few-Shot Learning
— Unverified TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models Mar 4, 2024 Few-Shot Learning Graph Embedding
— Unverified How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers Mar 4, 2024 Few-Shot Learning Language Modeling
— Unverified Leveraging Weakly Annotated Data for Hate Speech Detection in Code-Mixed Hinglish: A Feasibility-Driven Transfer Learning Approach with Large Language Models Mar 4, 2024 Few-Shot Learning Hate Speech Detection
— 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 Transformers for Supervised Online Continual Learning Mar 3, 2024 Continual Learning Few-Shot Learning
— Unverified STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models Mar 2, 2024 Active Learning Few-Shot Learning
Code Code Available FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation Feb 28, 2024 Data Augmentation Few-Shot Learning
Code Code Available FORML: A Riemannian Hessian-free Method for Meta-learning on Stiefel Manifolds Feb 28, 2024 Few-Shot Learning Meta-Learning
— Unverified Meta-Tasks: An alternative view on Meta-Learning Regularization Feb 27, 2024 Few-Shot Learning Meta-Learning
— Unverified Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning Feb 27, 2024 Few-Shot Learning
— Unverified Intelligent Known and Novel Aircraft Recognition -- A Shift from Classification to Similarity Learning for Combat Identification Feb 26, 2024 Classification Few-Shot Learning
— Unverified Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation Feb 26, 2024 Few-shot Instance Segmentation Few-Shot Learning
— Unverified Dental Severity Assessment through Few-shot Learning and SBERT Fine-tuning Feb 24, 2024 Diagnostic Few-Shot Learning
— Unverified 