Towards an Unsupervised Method for Model Selection in Few-Shot Learning Jun 15, 2020 Few-Shot Learning Meta-Learning
— Unverified 0 Towards Automatic Cetacean Photo-Identification: A Framework for Fine-Grain, Few-Shot Learning in Marine Ecology Dec 7, 2022 Few-Shot Learning
— Unverified 0 Towards a vision foundation model for comprehensive assessment of Cardiac MRI Oct 2, 2024 Few-Shot Learning
— Unverified 0 Towards Evaluating Large Language Models for Graph Query Generation Nov 13, 2024 Few-Shot Learning Knowledge Graphs
— Unverified 0 Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View Feb 17, 2021 Few-Shot Learning Table-to-Text Generation
— Unverified 0 Towards Few-Shot Fact-Checking via Perplexity Mar 17, 2021 Fact Checking Few-Shot Learning
— Unverified 0 Towards Few-Shot Learning in the Open World: A Review and Beyond Aug 19, 2024 Few-Shot Learning
— Unverified 0 Towards Generalized and Incremental Few-Shot Object Detection Sep 23, 2021 Autonomous Driving Continual Learning
— Unverified 0 CAM-loss: Towards Learning Spatially Discriminative Feature Representations Sep 3, 2021 Few-Shot Learning image-classification
— Unverified 0 Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach Sep 17, 2024 Few-Shot Learning Language Modelling
— Unverified 0 Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language Models Jan 23, 2025 Few-Shot Learning In-Context Learning
— Unverified 0 Towards Understanding the Cause of Error in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified 0 Towards Understanding the Relationship between In-context Learning and Compositional Generalization Mar 18, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Towards Unified Prompt Tuning for Few-shot Learning Nov 16, 2021 Few-Shot Learning Language Modeling
— Unverified 0 Towards Unified Prompt Tuning for Few-shot Text Classification May 11, 2022 Classification Few-Shot Learning
— Unverified 0 TPLLM: A Traffic Prediction Framework Based on Pretrained Large Language Models Mar 4, 2024 Few-Shot Learning Graph Embedding
— Unverified 0 TraHGR: Transformer for Hand Gesture Recognition via ElectroMyography Mar 28, 2022 Few-Shot Learning Gesture Recognition
— Unverified 0 Trainable Class Prototypes for Few-Shot Learning Jun 21, 2021 Few-Shot Learning Metric Learning
— Unverified 0 Training Data Generating Networks: Shape Reconstruction via Bi-level Optimization Oct 16, 2020 3D Shape Reconstruction 3D Shape Representation
— Unverified 0 Training microrobots to swim by a large language model Jan 21, 2024 Decision Making Few-Shot Learning
— Unverified 0 TRAM: Benchmarking Temporal Reasoning for Large Language Models Oct 2, 2023 Benchmarking Few-Shot Learning
— Unverified 0 Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning Oct 5, 2019 Few-Shot Learning Meta-Learning
— Unverified 0 A Transductive Maximum Margin Classifier for Few-Shot Learning Jul 26, 2021 Few-Shot Learning
— Unverified 0 Transferable Multi-Agent Reinforcement Learning with Dynamic Participating Agents Aug 4, 2022 Few-Shot Learning Multi-agent Reinforcement Learning
— Unverified 0 Transfer Learning Application of Self-supervised Learning in ARPES Aug 23, 2022 Few-Shot Learning Self-Supervised Learning
— Unverified 0 Transfer Learning for Power Outage Detection Task with Limited Training Data May 28, 2023 Few-Shot Learning Transfer Learning
— Unverified 0 Transfer Learning in a Transductive Setting Dec 1, 2013 Activity Recognition Attribute
— Unverified 0 Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning Oct 19, 2018 Attribute Clustering
— Unverified 0 Transformer Based Self-Context Aware Prediction for Few-Shot Anomaly Detection in Videos Mar 2, 2025 Anomaly Detection Few-Shot Learning
— Unverified 0 On Understanding Attention-Based In-Context Learning for Categorical Data May 27, 2024 Few-Shot Learning image-classification
— Unverified 0 Transformers for Supervised Online Continual Learning Mar 3, 2024 Continual Learning Few-Shot Learning
— Unverified 0 Transforming Multimodal Models into Action Models for Radiotherapy Feb 6, 2025 Anatomy Few-Shot Learning
— Unverified 0 TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning Dec 19, 2019 Few-Shot Learning Meta-Learning
— Unverified 0 TransPrompt v2: A Transferable Prompting Framework for Cross-task Text Classification Aug 29, 2023 Few-Shot Learning Few-Shot Text Classification
— Unverified 0 TREC: APT Tactic / Technique Recognition via Few-Shot Provenance Subgraph Learning Feb 23, 2024 Few-Shot Learning
— Unverified 0 True Few-Shot Learning with Prompts -- A Real-World Perspective Nov 26, 2021 Few-Shot Learning
— Unverified 0 TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking May 11, 2025 Fact Checking Few-Shot Learning
— Unverified 0 TSAL: Few-shot Text Segmentation Based on Attribute Learning Apr 15, 2025 Attribute Few-Shot Learning
— Unverified 0 Turkish Universal Conceptual Cognitive Annotation Jun 1, 2022 Few-Shot Learning
— Unverified 0 Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Mar 28, 2025 All Classification
— Unverified 0 Uncertainty-Aware Few-Shot Image Classification Oct 9, 2020 Classification Few-Shot Image Classification
— Unverified 0 Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion Mar 7, 2024 Few-Shot Learning Graph Neural Network
— Unverified 0 Uncertainty-based Network for Few-shot Image Classification May 17, 2022 Classification Few-Shot Image Classification
— Unverified 0 Uncertainty in Model-Agnostic Meta-Learning using Variational Inference Jul 27, 2019 BIG-bench Machine Learning Classification
— Unverified 0 Uncertainty in Multitask Transfer Learning Jun 20, 2018 Few-Shot Learning Transfer Learning
— Unverified 0 Understanding Benign Overfitting in Gradient-Based Meta Learning Jun 27, 2022 Few-Shot Learning Learning Theory
— Unverified 0 Understanding Few-Shot Multi-Task Representation Learning Theory Jan 17, 2022 Few-Shot Learning Learning Theory
— Unverified 0 Understanding In-context Learning of Addition via Activation Subspaces May 8, 2025 Few-Shot Learning In-Context Learning
— Unverified 0 Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models Jun 3, 2024 Action Recognition Cross-Domain Few-Shot
— Unverified 0 UniAP: Towards Universal Animal Perception in Vision via Few-shot Learning Aug 19, 2023 Decoder Diversity
— Unverified 0 