On the Role of Pre-training for Meta Few-Shot Learning Jan 1, 2021 Disentanglement Few-Shot Learning
— Unverified 0 On the Subspace Structure of Gradient-Based Meta-Learning Jul 8, 2022 Few-Shot Learning image-classification
— Unverified 0 On the Utility of Active Instance Selection for Few-Shot Learning Oct 16, 2020 Active Learning Few-Shot Learning
— Unverified 0 Ontology-enhanced Prompt-tuning for Few-shot Learning Jan 27, 2022 Event Extraction Few-Shot Learning
— Unverified 0 On Transfer in Classification: How Well do Subsets of Classes Generalize? Mar 6, 2024 Few-Shot Learning Transfer Learning
— Unverified 0 OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification Dec 1, 2020 Few-Shot Learning General Classification
— Unverified 0 OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data Feb 20, 2024 Few-Shot Learning Hallucination
— Unverified 0 Open-Ended Content-Style Recombination Via Leakage Filtering Sep 28, 2018 Few-Shot Learning Metric Learning
— Unverified 0 Open Long-Tailed Recognition in a Dynamic World Aug 17, 2022 Active Learning Classification
— Unverified 0 Open Set Chinese Character Recognition using Multi-typed Attributes Aug 27, 2018 Attribute Few-Shot Learning
— Unverified 0 Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models May 4, 2024 Few-Shot Learning Text to SQL
— Unverified 0 OpineSum: Entailment-based self-training for abstractive opinion summarization Dec 21, 2022 Abstractive Text Summarization Articles
— Unverified 0 Optimal and Efficient Binary Questioning for Human-in-the-Loop Annotation Jul 4, 2023 Active Learning Binary Classification
— Unverified 0 Optimal Strategies to Perform Multilingual Analysis of Social Content for a Novel Dataset in the Tourism Domain Nov 20, 2023 Few-Shot Learning named-entity-recognition
— Unverified 0 Optimization of Image Embeddings for Few Shot Learning Apr 4, 2020 Few-Shot Learning Graph Neural Network
— Unverified 0 Optimizing Large Language Models for Detecting Symptoms of Comorbid Depression or Anxiety in Chronic Diseases: Insights from Patient Messages Mar 14, 2025 Binary Classification Few-Shot Learning
— Unverified 0 Ortho-Shot: Low Displacement Rank Regularization with Data Augmentation for Few-Shot Learning Oct 18, 2021 Data Augmentation Diversity
— Unverified 0 Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Apr 13, 2023 Domain Generalization Few-Shot Learning
— Unverified 0 Overcoming Data Scarcity in Scanning Tunnelling Microscopy Image Segmentation Jun 2, 2025 Few-Shot Learning Image Segmentation
— Unverified 0 PAC-Bayes meta-learning with implicit task-specific posteriors Mar 5, 2020 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent Oct 26, 2023 Data Augmentation Few-Shot Learning
— Unverified 0 PALM: Few-Shot Prompt Learning for Audio Language Models Sep 29, 2024 Few-Shot Learning Prompt Learning
— Unverified 0 Pareto Self-Supervised Training for Few-Shot Learning Apr 16, 2021 Auxiliary Learning Few-Shot Learning
— Unverified 0 PARMESAN: Parameter-Free Memory Search and Transduction for Dense Prediction Tasks Mar 18, 2024 Continual Learning Few-Shot Learning
— Unverified 0 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning Feb 8, 2021 All Few-Shot Learning
— Unverified 0 Partitioning Image Representation in Contrastive Learning Mar 20, 2022 Contrastive Learning Data Augmentation
— Unverified 0 Partner-Assisted Learning for Few-Shot Image Classification Sep 15, 2021 Classification Few-Shot Image Classification
— Unverified 0 PatchMix Augmentation to Identify Causal Features in Few-shot Learning Nov 29, 2022 Data Augmentation Few-Shot Learning
— Unverified 0 PatchProto Networks for Few-shot Visual Anomaly Classification Oct 7, 2023 Anomaly Classification Classification
— Unverified 0 Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition May 26, 2020 Few-Shot Learning Handwriting Recognition
— Unverified 0 PeerArg: Argumentative Peer Review with LLMs Sep 25, 2024 Decision Making Few-Shot Learning
— Unverified 0 PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC Apr 30, 2024 Few-Shot Learning
— Unverified 0 PEMNET: A Transfer Learning-based Modeling Approach of High-Temperature Polymer Electrolyte Membrane Electrochemical Systems May 7, 2021 Few-Shot Learning Transfer Learning
— Unverified 0 PennSyn2Real: Training Object Recognition Models without Human Labeling Sep 22, 2020 4k Few-Shot Learning
— Unverified 0 Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Dec 22, 2020 Few-Shot Learning Meta-Learning
— Unverified 0 Personalizing Pre-trained Models Jun 2, 2021 Continual Learning Few-Shot Learning
— Unverified 0 PETapter: Leveraging PET-style classification heads for modular few-shot parameter-efficient fine-tuning Dec 6, 2024 Few-Shot Learning Language Modeling
— Unverified 0 PEVA-Net: Prompt-Enhanced View Aggregation Network for Zero/Few-Shot Multi-View 3D Shape Recognition Apr 30, 2024 3D Shape Recognition Few-Shot Learning
— Unverified 0 Physics-Driven Local-Whole Elastic Deformation Modeling for Point Cloud Representation Learning May 20, 2025 Few-Shot Learning Representation Learning
— Unverified 0 PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision Jul 18, 2024 Few-Shot Learning
— Unverified 0 P4E: Few-Shot Event Detection as Prompt-Guided Identification and Localization Feb 15, 2022 Event Detection Event Extraction
— Unverified 0 PLOT-TAL -- Prompt Learning with Optimal Transport for Few-Shot Temporal Action Localization Mar 27, 2024 Action Localization Diversity
— Unverified 0 Plug-and-Play Feature Generation for Few-Shot Medical Image Classification Oct 14, 2023 Few-Shot Learning image-classification
— Unverified 0 Plug-and-Play Multilingual Few-shot Spoken Words Recognition May 3, 2023 Few-Shot Learning Keyword Spotting
— Unverified 0 PM2: A New Prompting Multi-modal Model Paradigm for Few-shot Medical Image Classification Apr 13, 2024 Classification Few-Shot Learning
— Unverified 0 PNN: A Novel Progressive Neural Network for Fault Classification in Rotating Machinery under Small Dataset Constraint Mar 24, 2025 Fault Detection Few-Shot Learning
— Unverified 0 Point Cloud Understanding via Attention-Driven Contrastive Learning Nov 22, 2024 Contrastive Learning Few-Shot Learning
— Unverified 0 POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection Nov 16, 2021 Articles Few-Shot Learning
— Unverified 0 Pose Adaptive Dual Mixup for Few-Shot Single-View 3D Reconstruction Dec 23, 2021 3D Reconstruction Few-Shot Learning
— Unverified 0 Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling Apr 7, 2022 Few-Shot Learning
— Unverified 0 