A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping Apr 9, 2025 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Across-Game Engagement Modelling via Few-Shot Learning Sep 19, 2024 Few-Shot Learning
— Unverified 0 A Cross-Lingual Meta-Learning Method Based on Domain Adaptation for Speech Emotion Recognition Oct 6, 2024 Domain Adaptation Emotion Recognition
— Unverified 0 Active Learning Principles for In-Context Learning with Large Language Models May 23, 2023 Active Learning Diversity
— Unverified 0 ActiveLLM: Large Language Model-based Active Learning for Textual Few-Shot Scenarios May 17, 2024 Active Learning Few-Shot Learning
— Unverified 0 Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study Jun 4, 2019 Few-Shot Learning Object
— Unverified 0 Active Transfer Prototypical Network: An Efficient Labeling Algorithm for Time-Series Data Sep 28, 2022 Active Learning Few-Shot Learning
— Unverified 0 ActPC-Geom: Towards Scalable Online Neural-Symbolic Learning via Accelerating Active Predictive Coding with Information Geometry & Diverse Cognitive Mechanisms Jan 8, 2025 Few-Shot Learning
— Unverified 0 AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN May 12, 2020 Few-Shot Learning text-to-speech
— Unverified 0 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Nov 20, 2024 Few-Shot Learning Meta-Learning
— Unverified 0 Adapting Language-Audio Models as Few-Shot Audio Learners May 28, 2023 Audio Classification Classification
— Unverified 0 Adapting OpenAI's CLIP Model for Few-Shot Image Inspection in Manufacturing Quality Control: An Expository Case Study with Multiple Application Examples Jan 22, 2025 Few-Shot Learning image-classification
— Unverified 0 Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data Mar 27, 2025 Few-Shot Learning Meta-Learning
— Unverified 0 Adaptive Deep Kernel Learning May 28, 2019 Benchmarking Drug Discovery
— Unverified 0 Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification Sep 18, 2022 Bayesian Inference Clustering
— Unverified 0 Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport Oct 9, 2022 Domain Generalization Few-Shot Learning
— Unverified 0 Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility Jan 23, 2025 Data Augmentation Domain Adaptation
— Unverified 0 Adaptive Few-Shot Learning Algorithm for Rare Sound Event Detection May 24, 2022 Event Detection Few-Shot Learning
— Unverified 0 Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Sep 8, 2021 Computational Efficiency Diagnostic
— Unverified 0 Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection May 20, 2021 Diversity Event Detection
— Unverified 0 Adaptive manifold for imbalanced transductive few-shot learning Apr 27, 2023 Few-Shot Learning
— Unverified 0 Adaptive Parameter Selection for Tuning Vision-Language Models Jan 1, 2025 Few-Shot Learning
— Unverified 0 Adaptive Poincaré Point to Set Distance for Few-Shot Classification Dec 3, 2021 Few-Shot Learning
— Unverified 0 Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning Dec 19, 2024 Few-Shot Learning Visual Prompt Tuning
— Unverified 0 Adaptive Transfer Learning: a simple but effective transfer learning Nov 22, 2021 Few-Shot Learning Transfer Learning
— Unverified 0 Adaptive Weighted Co-Learning for Cross-Domain Few-Shot Learning Dec 6, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 AdaptMol: Adaptive Fusion from Sequence String to Topological Structure for Few-shot Drug Discovery May 17, 2025 Drug Discovery Few-Shot Learning
— Unverified 0 AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Feb 28, 2020 Denoising Few-Shot Learning
— Unverified 0 AdaSemSeg: An Adaptive Few-shot Semantic Segmentation of Seismic Facies Jan 28, 2025 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified 0 From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams Jun 11, 2022 BIG-bench Machine Learning Few-Shot Learning
— Unverified 0 AdBERT: An Effective Few Shot Learning Framework for Aligning Tweets to Superbowl Advertisements Oct 1, 2022 Few-Shot Learning Marketing
— Unverified 0 Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images Mar 23, 2020 Few-Shot Learning
— Unverified 0 Addressing the Real-world Class Imbalance Problem in Dermatology Oct 9, 2020 Benchmarking Few-Shot Learning
— Unverified 0 A Deep Learning Framework for Lifelong Machine Learning May 1, 2021 BIG-bench Machine Learning Continual Learning
— Unverified 0 A Distribution-Aware Flow-Matching for Generating Unstructured Data for Few-Shot Reinforcement Learning Sep 21, 2024 Few-Shot Learning Reinforcement Learning (RL)
— Unverified 0 Advance Fake Video Detection via Vision Transformers Apr 29, 2025 Fake Image Detection Few-Shot Learning
— Unverified 0 Advances in MetaDL: AAAI 2021 challenge and workshop Feb 1, 2022 Few-Shot Learning
— Unverified 0 Advancing Video Anomaly Detection: A Concise Review and a New Dataset Feb 7, 2024 Anomaly Detection Diversity
— Unverified 0 Advancing Prompt Learning through an External Layer Jul 29, 2024 Few-Shot Learning Prompt Learning
— Unverified 0 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners Jan 1, 2024 Adversarial Robustness Few-Shot Learning
— Unverified 0 A Federated Approach to Few-Shot Hate Speech Detection for Marginalized Communities Dec 6, 2024 Federated Learning Few-Shot Learning
— Unverified 0 A Few Hypocrites: Few-Shot Learning and Subtype Definitions for Detecting Hypocrisy Accusations in Online Climate Change Debates Sep 25, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 A Few-Shot Learning Approach for Accelerated MRI via Fusion of Data-Driven and Subject-Driven Priors Mar 13, 2021 Few-Shot Learning MRI Reconstruction
— Unverified 0 A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts Sep 21, 2022 Few-Shot Learning Handwritten Text Recognition
— Unverified 0 Affinity Network Fusion and Semi-supervised Learning for Cancer Patient Clustering May 22, 2018 Clustering Few-Shot Learning
— Unverified 0 A Framework of Meta Functional Learning for Regularising Knowledge Transfer Mar 28, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 A Game-Theoretic Perspective of Generalization in Reinforcement Learning Aug 7, 2022 Few-Shot Learning Meta-Learning
— Unverified 0 A general-purpose AI assistant embedded in an open-source radiology information system Mar 18, 2023 Active Learning Few-Shot Learning
— Unverified 0 AgEval: A Benchmark for Zero-Shot and Few-Shot Plant Stress Phenotyping with Multimodal LLMs Jul 29, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Agile gesture recognition for low-power applications: customisation for generalisation Mar 12, 2024 Few-Shot Learning Gesture Recognition
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