CRoF: CLIP-based Robust Few-shot Learning on Noisy Labels Dec 17, 2024 Domain Generalization Few-Shot Learning
— Unverified How Can LLMs and Knowledge Graphs Contribute to Robot Safety? A Few-Shot Learning Approach Dec 16, 2024 Few-Shot Learning Knowledge Graphs
— Unverified SAMIC: Segment Anything with In-Context Spatial Prompt Engineering Dec 16, 2024 Few-Shot Learning Prompt Engineering
— Unverified BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A Dec 16, 2024 Answer Generation Few-Shot Learning
Code Code Available SAM-IF: Leveraging SAM for Incremental Few-Shot Instance Segmentation Dec 15, 2024 Decoder Few-shot Instance Segmentation
— Unverified Do Tutors Learn from Equity Training and Can Generative AI Assess It? Dec 15, 2024 Few-Shot Learning
Code Code Available LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering Dec 13, 2024 Few-Shot Learning Knowledge Distillation
— Unverified SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning Dec 12, 2024 Cross-Domain Few-Shot cross-domain few-shot learning
Code Code Available First Train to Generate, then Generate to Train: UnitedSynT5 for Few-Shot NLI Dec 12, 2024 Data Augmentation Diversity
— Unverified All You Need in Knowledge Distillation Is a Tailored Coordinate System Dec 12, 2024 All Few-Shot Learning
— Unverified Kajal: Extracting Grammar of a Source Code Using Large Language Models Dec 12, 2024 Few-Shot Learning Prompt Engineering
Code Code Available IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model Dec 10, 2024 Articles Few-Shot Learning
Code Code Available ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC) Dec 10, 2024 ARC Few-Shot Learning
Code Code Available Flexible and Scalable Deep Dendritic Spiking Neural Networks with Multiple Nonlinear Branching Dec 9, 2024 Few-Shot Learning GPU
— Unverified SGIA: Enhancing Fine-Grained Visual Classification with Sequence Generative Image Augmentation Dec 9, 2024 Data Augmentation Few-Shot Learning
— Unverified PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks Dec 7, 2024 Cross-Lingual Question Answering Diversity
— Unverified A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities Dec 6, 2024 Federated Learning Few-Shot Learning
— Unverified Diversity Over Quantity: A Lesson From Few Shot Relation Classification Dec 6, 2024 Diversity Few-Shot Learning
— Unverified PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning Dec 6, 2024 Few-Shot Learning Language Modeling
— Unverified Evolutionary Pre-Prompt Optimization for Mathematical Reasoning Dec 5, 2024 Few-Shot Learning GSM8K
— Unverified The broader spectrum of in-context learning Dec 5, 2024 Few-Shot Learning In-Context Learning
— Unverified ALMA: Alignment with Minimal Annotation Dec 5, 2024 Few-Shot Learning Language Modeling
— Unverified Few-Shot Learning with Adaptive Weight Masking in Conditional GANs Dec 4, 2024 Data Augmentation Diversity
— Unverified A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications Dec 3, 2024 Few-Shot Learning
— Unverified Does Few-Shot Learning Help LLM Performance in Code Synthesis? Dec 3, 2024 Code Generation Few-Shot Learning
— Unverified Towards Cross-Lingual Audio Abuse Detection in Low-Resource Settings with Few-Shot Learning Dec 2, 2024 Abuse Detection Abusive Language
Code Code Available Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation Dec 2, 2024 Diversity Few-Shot Learning
— Unverified Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization Dec 2, 2024 Denoising Few-Shot Learning
Code Code Available Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting Dec 1, 2024 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability Nov 29, 2024 Domain Adaptation domain classification
— Unverified APT: Architectural Planning and Text-to-Blueprint Construction Using Large Language Models for Open-World Agents Nov 26, 2024 Few-Shot Learning Large Language Model
Code Code Available SAM-MPA: Applying SAM to Few-shot Medical Image Segmentation using Mask Propagation and Auto-prompting Nov 26, 2024 Few-Shot Learning Image Segmentation
— Unverified ASSERTIFY: Utilizing Large Language Models to Generate Assertions for Production Code Nov 25, 2024 Few-Shot Learning Prompt Engineering
Code Code Available Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Nov 25, 2024 Data Augmentation Drug Discovery
— Unverified Low-Data Classification of Historical Music Manuscripts: A Few-Shot Learning Approach Nov 25, 2024 Classification Few-Shot Learning
— Unverified Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting Nov 24, 2024 Few-Shot Learning Synthetic Data Generation
— Unverified Comparative Analysis of Resource-Efficient CNN Architectures for Brain Tumor Classification Nov 23, 2024 Binary Classification Brain Tumor Classification
— Unverified Point Cloud Understanding via Attention-Driven Contrastive Learning Nov 22, 2024 Contrastive Learning Few-Shot Learning
— Unverified AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Nov 20, 2024 Few-Shot Learning Meta-Learning
— Unverified Prototype Optimization with Neural ODE for Few-Shot Learning Nov 19, 2024 Few-Shot Learning
— Unverified Efficient Transfer Learning for Video-language Foundation Models Nov 18, 2024 Action Recognition Few-Shot Learning
Code Code Available Hyperspectral Imaging-Based Grain Quality Assessment With Limited Labelled Data Nov 17, 2024 Classification Of Hyperspectral Images Few-Shot Learning
— Unverified 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 A Practical Guide to Fine-tuning Language Models with Limited Data Nov 14, 2024 Few-Shot Learning Transfer Learning
— Unverified Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning Nov 14, 2024 class-incremental learning Class Incremental Learning
— Unverified CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt Nov 13, 2024 Classification Code Completion
— Unverified GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees Nov 13, 2024 Decision Making Feature Engineering
— Unverified Towards Evaluating Large Language Models for Graph Query Generation Nov 13, 2024 Few-Shot Learning Knowledge Graphs
— Unverified Gaussian Process Emulators for Few-Shot Segmentation in Cardiac MRI Nov 11, 2024 Data Integration Few-Shot Learning
Code Code Available Layer-Wise Feature Metric of Semantic-Pixel Matching for Few-Shot Learning Nov 10, 2024 Few-Shot Learning
Code Code Available 