Integrating Large Language Models with Internet of Things Applications Oct 25, 2024 Few-Shot Learning
— Unverified Tailored-LLaMA: Optimizing Few-Shot Learning in Pruned LLaMA Models with Task-Specific Prompts Oct 24, 2024 Few-Shot Learning Specificity
— Unverified Exploring structure diversity in atomic resolution microscopy with graph neural networks Oct 23, 2024 Diversity Few-Shot Learning
— Unverified Composing Diffusion Policies for Few-shot Learning of Movement Trajectories Oct 22, 2024 Few-Shot Learning
— Unverified Context-aware Prompt Tuning: Advancing In-Context Learning with Adversarial Methods Oct 22, 2024 Few-Shot Learning In-Context Learning
— Unverified Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios Oct 21, 2024 Benchmarking Few-Shot Learning
Code Code Available Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Oct 21, 2024 Federated Learning Few-Shot Learning
— Unverified MI-VisionShot: Few-shot adaptation of vision-language models for slide-level classification of histopathological images Oct 21, 2024 Few-Shot Learning Image Captioning
Code Code Available EPIC: Efficient Position-Independent Caching for Serving Large Language Models Oct 20, 2024 Chunking Few-Shot Learning
— Unverified FoMo: A Foundation Model for Mobile Traffic Forecasting with Diffusion Model Oct 20, 2024 Contrastive Learning Few-Shot Learning
— Unverified A Prompt Refinement-based Large Language Model for Metro Passenger Flow Forecasting under Delay Conditions Oct 19, 2024 Descriptive Few-Shot Learning
— Unverified iFuzzyTL: Interpretable Fuzzy Transfer Learning for SSVEP BCI System Oct 16, 2024 Domain Adaptation EEG
— Unverified Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation for Classification Oct 14, 2024 Data Augmentation Few-Shot Learning
Code Code Available A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning Oct 14, 2024 Few-Shot Learning Hyperparameter Optimization
— Unverified Neural networks that overcome classic challenges through practice Oct 14, 2024 Few-Shot Learning Systematic Generalization
— Unverified GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs Oct 14, 2024 Few-Shot Learning TAG
Code Code Available KNN Transformer with Pyramid Prompts for Few-Shot Learning Oct 14, 2024 Few-Shot Learning
— Unverified Cross-Modal Few-Shot Learning: a Generative Transfer Learning Framework Oct 14, 2024 Few-Shot Learning Transfer Learning
— Unverified Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition Oct 13, 2024 Activity Recognition Few-Shot Learning
— Unverified Context-Aware SQL Error Correction Using Few-Shot Learning -- A Novel Approach Based on NLQ, Error, and SQL Similarity Oct 11, 2024 Few-Shot Learning
— Unverified Cross-Domain Evaluation of Few-Shot Classification Models: Natural Images vs. Histopathological Images Oct 11, 2024 Classification Few-Shot Learning
— Unverified SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models Oct 11, 2024 Few-Shot Learning Multiple-choice
Code Code Available Score Neural Operator: A Generative Model for Learning and Generalizing Across Multiple Probability Distributions Oct 11, 2024 Few-Shot Learning Image Generation
— Unverified Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? Oct 10, 2024 Few-Shot Learning In-Context Learning
— Unverified DemoShapley: Valuation of Demonstrations for In-Context Learning Oct 10, 2024 Fairness Few-Shot Learning
— Unverified OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting Oct 10, 2024 Entity Linking Few-Shot Learning
Code Code Available QCircuitNet: A Large-Scale Hierarchical Dataset for Quantum Algorithm Design Oct 10, 2024 Few-Shot Learning
Code Code Available On The Relationship between Visual Anomaly-free and Anomalous Representations Oct 9, 2024 Anomaly Detection Domain Adaptation
— Unverified DCP: Learning Accelerator Dataflow for Neural Network via Propagation Oct 9, 2024 Few-Shot Learning Scheduling
— Unverified Exploring the Readiness of Prominent Small Language Models for the Democratization of Financial Literacy Oct 9, 2024 Few-Shot Learning Question Answering
Code Code Available Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysis Oct 9, 2024 Few-Shot Learning
— Unverified Generating Synthetic Datasets for Few-shot Prompt Tuning Oct 8, 2024 Few-Shot Learning MRPC
— Unverified Manual Verbalizer Enrichment for Few-Shot Text Classification Oct 8, 2024 Benchmarking Classification
— Unverified Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes Oct 8, 2024 Articles Classification
Code Code Available Neural-Bayesian Program Learning for Few-shot Dialogue Intent Parsing Oct 8, 2024 Feature Engineering Few-Shot Learning
— Unverified Bridging Modalities: Enhancing Cross-Modality Hate Speech Detection with Few-Shot In-Context Learning Oct 8, 2024 Few-Shot Learning Hate Speech Detection
— Unverified ConML: A Universal Meta-Learning Framework with Task-Level Contrastive Learning Oct 8, 2024 Contrastive Learning Few-Shot Learning
— Unverified A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition Oct 6, 2024 Domain Adaptation Emotion Recognition
— Unverified Revisiting In-context Learning Inference Circuit in Large Language Models Oct 6, 2024 Few-Shot Learning In-Context Learning
Code Code Available Episodic fine-tuning prototypical networks for optimization-based few-shot learning: Application to audio classification Oct 4, 2024 Audio Classification Few-Shot Audio Classification
Code Code Available Adaptive Masking Enhances Visual Grounding Oct 4, 2024 Few-Shot Learning Visual Grounding
Code Code Available CalliffusionV2: Personalized Natural Calligraphy Generation with Flexible Multi-modal Control Oct 3, 2024 Few-Shot Learning
— Unverified Unsupervised Meta-Learning via Dynamic Head and Heterogeneous Task Construction for Few-Shot Classification Oct 3, 2024 Few-Shot Learning Meta-Learning
Code Code Available SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation Oct 3, 2024 Bilevel Optimization Data Augmentation
— Unverified Towards a vision foundation model for comprehensive assessment of Cardiac MRI Oct 2, 2024 Few-Shot Learning
— Unverified Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting Oct 2, 2024 Computational Efficiency Few-Shot Learning
— Unverified Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals Oct 1, 2024 Few-Shot Learning Triplet
— Unverified From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems Oct 1, 2024 Computational Efficiency Data Augmentation
— Unverified Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification Sep 30, 2024 Fairness Few-Shot Learning
Code Code Available Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models Sep 30, 2024 Few-Shot Learning In-Context Learning
Code Code Available 