Few-Round Learning for Federated Learning Jan 1, 2021 Federated Learning Few-Shot Learning
— Unverified Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines May 8, 2025 Contrastive 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 Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Nov 9, 2020 Few-Shot Learning Intrusion Detection
— Unverified Few-Shot Abstract Visual Reasoning With Spectral Features Oct 4, 2019 Few-Shot Learning Visual Reasoning
— Unverified Few-shot acoustic event detection via meta-learning Feb 21, 2020 Event Detection Few-Shot Learning
— Unverified A Framework of Meta Functional Learning for Regularising Knowledge Transfer Mar 28, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning Dec 12, 2021 Anomaly Detection Cross-Domain Few-Shot
— Unverified ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios May 17, 2024 Active Learning Few-Shot Learning
— Unverified English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network May 1, 2022 Cross-Lingual Word Embeddings Emotion Classification
— Unverified Few Shot Activity Recognition Using Variational Inference Aug 20, 2021 Action Recognition Activity Recognition
— Unverified CancerGPT: Few-shot Drug Pair Synergy Prediction using Large Pre-trained Language Models Apr 18, 2023 Few-Shot Learning Prediction
— Unverified Few-Shot Adaptation of Grounding DINO for Agricultural Domain Apr 9, 2025 Few-Shot Learning object-detection
— Unverified CANAL -- Cyber Activity News Alerting Language Model: Empirical Approach vs. Expensive LLM May 10, 2024 Articles Few-Shot Learning
— Unverified Enabling the Network to Surf the Internet Feb 24, 2021 Few-Shot Learning Self-Supervised Learning
— Unverified Enabling ISP-less Low-Power Computer Vision Oct 11, 2022 Demosaicking Few-Shot Learning
— Unverified Few-shot Multi-hop Question Answering over Knowledge Base Dec 14, 2021 Few-Shot Learning Knowledge Base Question Answering
— Unverified Few-shot Anomaly Detection in Text with Deviation Learning Aug 22, 2023 Anomaly Detection Few-Shot Learning
— Unverified Few-Shot Authorship Attribution in English Reddit Posts Jan 16, 2022 Articles Authorship Attribution
— Unverified Few-shot Multimodal Multitask Multilingual Learning Feb 19, 2023 Few-Shot Learning In-Context Learning
— Unverified Few-Shot Bayesian Optimization with Deep Kernel Surrogates Jan 19, 2021 Bayesian Optimization Few-Shot Learning
— Unverified Few-Shot Bearing Fault Diagnosis Based on Model-Agnostic Meta-Learning Jul 25, 2020 Anomaly Detection Fault Diagnosis
— Unverified Enabling hand gesture customization on wrist-worn devices Mar 29, 2022 Few-Shot Learning Transfer Learning
— Unverified Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values Oct 14, 2022 Classification Few-Shot Learning
— Unverified EMR Coding with Semi-Parametric Multi-Head Matching Networks Jun 1, 2018 Few-Shot Learning General Classification
— Unverified CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jul 4, 2022 3D Part Segmentation Few-Shot Learning
— Unverified AnnotatedTables: A Large Tabular Dataset with Language Model Annotations Jun 24, 2024 AutoML Few-Shot Learning
— Unverified Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains Dec 27, 2021 Classification Few-Shot Learning
— Unverified Aspect-Based Few-Shot Learning Dec 17, 2024 Few-Shot Learning
— Unverified Few-shot Classification on Graphs with Structural Regularized GCNs May 1, 2019 Classification Few-Shot Learning
— Unverified Domain-Agnostic Few-Shot Classification by Learning Disparate Modulators Sep 11, 2019 Classification Diversity
— Unverified Empowering Large Language Models for Textual Data Augmentation Apr 26, 2024 Data Augmentation Diversity
— Unverified Few-Shot Classification with Contrastive Learning Sep 17, 2022 Classification Contrastive Learning
— Unverified Few-shot Classification with Hypersphere Modeling of Prototypes Nov 10, 2022 Classification Few-Shot Learning
— Unverified SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning May 30, 2023 Classification Few-Shot Learning
— Unverified Few-shot Class-incremental Learning for Classification and Object Detection: A Survey Aug 13, 2023 class-incremental learning Class Incremental Learning
— Unverified Empirical Evaluation of Topic Zero- and Few-Shot Learning for Stance Dissonance Detection Nov 16, 2021 Few-Shot Learning Stance Detection
— Unverified Few-Shot Class-Incremental Learning with Non-IID Decentralized Data Sep 18, 2024 class-incremental learning Class Incremental Learning
— Unverified Few-shot clinical entity recognition in English, French and Spanish: masked language models outperform generative model prompting Feb 20, 2024 Few-Shot Learning named-entity-recognition
— Unverified CalliffusionV2: Personalized Natural Calligraphy Generation with Flexible Multi-modal Control Oct 3, 2024 Few-Shot Learning
— Unverified Few-shot Continual Infomax Learning Jan 1, 2023 Continual Learning Few-Shot Learning
— Unverified Few-shot Continual Learning: a Brain-inspired Approach Apr 19, 2021 Continual Learning Few-Shot Learning
— Unverified Few-Shot Cross-Lingual TTS Using Transferable Phoneme Embedding Jun 27, 2022 Few-Shot Learning text-to-speech
— Unverified EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Jun 8, 2023 Few-Shot Learning Meta-Learning
— Unverified Deep Representation Learning with an Information-theoretic Loss Nov 25, 2021 Anomaly Detection Few-Shot Learning
— Unverified Associative Adversarial Learning Based on Selective Attack Dec 28, 2021 Adversarial Robustness Few-Shot Learning
— Unverified Calibrated neighborhood aware confidence measure for deep metric learning Jun 8, 2020 Few-Shot Learning Image Retrieval
— Unverified Active Learning Principles for In-Context Learning with Large Language Models May 23, 2023 Active Learning Diversity
— 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 