Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models Sep 4, 2024 Decision Making Few-Shot Learning
— Unverified 0 Exploring structure diversity in atomic resolution microscopy with graph neural networks Oct 23, 2024 Diversity Few-Shot Learning
— Unverified 0 Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding Apr 2, 2025 Activity Recognition Few-Shot Learning
— Unverified 0 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases Mar 25, 2024 Few-Shot Learning
— Unverified 0 Exploring the LLM Journey from Cognition to Expression with Linear Representations May 27, 2024 Few-Shot Learning
— Unverified 0 Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models Jun 15, 2023 Electrical Engineering Few-Shot Learning
— Unverified 0 Exploring the Space of Key-Value-Query Models with Intention May 17, 2023 Deep Learning Few-Shot Learning
— Unverified 0 External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery Jul 22, 2021 Few-Shot Learning Zero-Shot Learning
— Unverified 0 EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome May 13, 2022 Autonomous Driving Decision Making
— Unverified 0 Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network Oct 15, 2019 Emotion Recognition Few-Shot Learning
— Unverified 0 FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition Mar 24, 2025 Domain Adaptation EEG
— Unverified 0 Facial Landmark Correlation Analysis Nov 24, 2019 Facial Landmark Detection Few-Shot Learning
— Unverified 0 FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning May 13, 2025 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Fair Few-shot Learning with Auxiliary Sets Aug 28, 2023 Fairness Few-Shot Learning
— Unverified 0 Fast Adaptation with Kernel and Gradient based Meta Leaning Nov 1, 2024 Few-Shot Learning Meta-Learning
— Unverified 0 Generalized Adaptation for Few-Shot Learning Nov 25, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Fast Task Adaptation for Few-Shot Learning Sep 25, 2019 Few-Shot Learning
— Unverified 0 Fast visual grounding in interaction: bringing few-shot learning with neural networks to an interactive robot Jun 1, 2020 Few-Shot Learning Transfer Learning
— Unverified 0 Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Jul 11, 2023 Classification Contrastive Learning
— Unverified 0 Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules Aug 26, 2024 Classification Few-Shot Image Classification
— Unverified 0 Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification May 18, 2020 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Federated Few-Shot Learning with Adversarial Learning Apr 1, 2021 Federated Learning Few-Shot Learning
— Unverified 0 Federated Large Language Models: Feasibility, Robustness, Security and Future Directions May 13, 2025 Federated Learning Few-Shot Learning
— Unverified 0 Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Oct 21, 2024 Federated Learning Few-Shot Learning
— Unverified 0 FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning Mar 10, 2024 Federated Learning Few-Shot Learning
— Unverified 0 Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks Jan 28, 2025 Few-Shot Learning Self-Supervised Learning
— Unverified 0 FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Dec 16, 2022 Federated Learning Few-Shot Learning
— Unverified 0 Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning Jan 1, 2021 Few-Shot Learning Pseudo Label
— Unverified 0 Few-Round Learning for Federated Learning Jan 1, 2021 Federated Learning Few-Shot Learning
— Unverified 0 FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning Mar 3, 2022 Domain Adaptation Few-Shot Learning
— Unverified 0 Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving Feb 17, 2023 Autonomous Driving Few-Shot Learning
— Unverified 0 Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network Mar 28, 2023 Few-shot 3D Point Cloud Semantic Segmentation Few-Shot Learning
— Unverified 0 Few-Shot Abstract Visual Reasoning With Spectral Features Oct 4, 2019 Few-Shot Learning Visual Reasoning
— Unverified 0 Few-shot acoustic event detection via meta-learning Feb 21, 2020 Event Detection Few-Shot Learning
— Unverified 0 Few-Shot Action Recognition with Compromised Metric via Optimal Transport Apr 8, 2021 Action Recognition Few-Shot action recognition
— Unverified 0 Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization Oct 13, 2020 Action Recognition Few-Shot action recognition
— Unverified 0 Few Shot Activity Recognition Using Variational Inference Aug 20, 2021 Action Recognition Activity Recognition
— Unverified 0 Few-Shot Adaptation for Multimedia Semantic Indexing Jul 19, 2018 Few-Shot Learning parameter estimation
— Unverified 0 Few-Shot Adaptation of Grounding DINO for Agricultural Domain Apr 9, 2025 Few-Shot Learning object-detection
— Unverified 0 Few-Shot Adversarial Domain Adaptation Nov 5, 2017 Domain Adaptation Few-Shot Learning
— Unverified 0 Few-Shot Airway-Tree Modeling using Data-Driven Sparse Priors Jul 5, 2024 Diversity Few-Shot Learning
— Unverified 0 Few-shot Anomaly Detection in Text with Deviation Learning Aug 22, 2023 Anomaly Detection Few-Shot Learning
— Unverified 0 Few-Shot Authorship Attribution in English Reddit Posts Jan 16, 2022 Articles Authorship Attribution
— Unverified 0 Few-Shot Batch Incremental Road Object Detection via Detector Fusion Aug 18, 2021 Few-Shot Learning object-detection
— Unverified 0 Few-Shot Bayesian Optimization with Deep Kernel Surrogates Jan 19, 2021 Bayesian Optimization Few-Shot Learning
— Unverified 0 Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Jul 25, 2020 Anomaly Detection Fault Diagnosis
— Unverified 0 Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Jan 7, 2024 Few-Shot Learning Graph Neural Network
— Unverified 0 Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Dec 27, 2021 Classification Few-Shot Learning
— Unverified 0 Few-shot Classification on Graphs with Structural Regularized GCNs May 1, 2019 Classification Few-Shot Learning
— Unverified 0 Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators Sep 11, 2019 Classification Diversity
— Unverified 0 