Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning Oct 11, 2023 Deep Reinforcement Learning Few-Shot Learning
— Unverified Explaining CLIP's performance disparities on data from blind/low vision users Nov 29, 2023 Few-Shot Learning zero-shot-classification
— Unverified Explaining Representation by Mutual Information Mar 28, 2021 BIG-bench Machine Learning Few-Shot Learning
— Unverified Explicit Knowledge Transfer for Weakly-Supervised Code Generation Nov 30, 2022 Code Generation Few-Shot Learning
— Unverified Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task May 1, 2022 Few-Shot Learning In-Context Learning
— Unverified Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Jan 19, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Exploiting the Matching Information in the Support Set for Few Shot Event Classification Feb 13, 2020 Classification Few-Shot Learning
— Unverified Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners Jul 27, 2023 Decoder Few-Shot Learning
— Unverified Explore the Power of Dropout on Few-shot Learning Jan 26, 2023 Deep Learning Few-Shot Image Classification
— Unverified Exploring Data Augmentation Methods on Social Media Corpora Mar 3, 2023 Data Augmentation Few-Shot Learning
— Unverified Exploring Example Selection for Few-shot Text-to-SQL Semantic Parsing Jan 16, 2022 Few-Shot Learning In-Context Learning
— Unverified Exploring Factual Entailment with NLI: A News Media Study Jun 24, 2024 Articles Few-Shot Learning
— Unverified Exploring Generative AI Techniques in Government: A Case Study Apr 6, 2025 Few-Shot Learning Management
— Unverified Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Nov 21, 2023 Data Augmentation Few-Shot Learning
— Unverified Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects Apr 29, 2025 Contrastive Learning Few-Shot Learning
— Unverified Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning Feb 6, 2024 Few-Shot Learning image-classification
— Unverified Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation Sep 14, 2021 Few-Shot Learning
— Unverified Exploring representation learning for flexible few-shot tasks Jan 1, 2021 Few-Shot Learning Representation Learning
— Unverified 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 Exploring structure diversity in atomic resolution microscopy with graph neural networks Oct 23, 2024 Diversity Few-Shot Learning
— Unverified Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding Apr 2, 2025 Activity Recognition Few-Shot Learning
— Unverified Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases Mar 25, 2024 Few-Shot Learning
— Unverified Exploring the LLM Journey from Cognition to Expression with Linear Representations May 27, 2024 Few-Shot Learning
— Unverified Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models Jun 15, 2023 Electrical Engineering Few-Shot Learning
— Unverified Exploring the Space of Key-Value-Query Models with Intention May 17, 2023 Deep Learning Few-Shot Learning
— Unverified External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery Jul 22, 2021 Few-Shot Learning Zero-Shot Learning
— Unverified EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome May 13, 2022 Autonomous Driving Decision Making
— Unverified Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network Oct 15, 2019 Emotion Recognition Few-Shot Learning
— Unverified FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition Mar 24, 2025 Domain Adaptation EEG
— Unverified Facial Landmark Correlation Analysis Nov 24, 2019 Facial Landmark Detection Few-Shot Learning
— Unverified FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning May 13, 2025 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Fair Few-shot Learning with Auxiliary Sets Aug 28, 2023 Fairness Few-Shot Learning
— Unverified Fast Adaptation with Kernel and Gradient based Meta Leaning Nov 1, 2024 Few-Shot Learning Meta-Learning
— Unverified Generalized Adaptation for Few-Shot Learning Nov 25, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified Fast Task Adaptation for Few-Shot Learning Sep 25, 2019 Few-Shot Learning
— Unverified 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 Feature Activation Map: Visual Explanation of Deep Learning Models for Image Classification Jul 11, 2023 Classification Contrastive Learning
— Unverified Feature Aligning Few shot Learning Method Using Local Descriptors Weighted Rules Aug 26, 2024 Classification Few-Shot Image Classification
— Unverified 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 Federated Few-Shot Learning with Adversarial Learning Apr 1, 2021 Federated Learning Few-Shot Learning
— Unverified Federated Large Language Models: Feasibility, Robustness, Security and Future Directions May 13, 2025 Federated Learning Few-Shot Learning
— Unverified Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Oct 21, 2024 Federated Learning Few-Shot Learning
— Unverified FewFedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning Mar 10, 2024 Federated Learning Few-Shot Learning
— Unverified Few Edges Are Enough: Few-Shot Network Attack Detection with Graph Neural Networks Jan 28, 2025 Few-Shot Learning Self-Supervised Learning
— Unverified FewFedWeight: Few-shot Federated Learning Framework across Multiple NLP Tasks Dec 16, 2022 Federated Learning Few-Shot Learning
— Unverified Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning Jan 1, 2021 Few-Shot Learning Pseudo Label
— Unverified Few-Round Learning for Federated Learning Jan 1, 2021 Federated Learning Few-Shot Learning
— Unverified FewSense, Towards a Scalable and Cross-Domain Wi-Fi Sensing System Using Few-Shot Learning Mar 3, 2022 Domain Adaptation Few-Shot Learning
— Unverified Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving Feb 17, 2023 Autonomous Driving Few-Shot Learning
— Unverified 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 