Interpreting and Understanding Graph Convolutional Neural Network using Gradient-based Attribution Method Mar 9, 2019 Few-Shot Learning Node Classification
— Unverified 00 Intra-task Mutual Attention based Vision Transformer for Few-Shot Learning May 6, 2024 Few-Shot Learning Meta-Learning
— Unverified 00 Invariance-Guided Feature Evolution for Few-Shot Learning Sep 29, 2021 domain classification Few-Shot Learning
— Unverified 00 Invenio: Discovering Hidden Relationships Between Tasks/Domains Using Structured Meta Learning Nov 24, 2019 Few-Shot Learning Meta-Learning
— Unverified 00 Inverse is Better! Fast and Accurate Prompt for Slot Tagging Nov 16, 2021 Few-Shot Learning Prediction
— Unverified 00 Investigating Cost-Efficiency of LLM-Generated Training Data for Conversational Semantic Frame Analysis Oct 9, 2024 Few-Shot Learning
— Unverified 00 Investigating grammatical abstraction in language models using few-shot learning of novel noun gender Mar 15, 2024 Decoder Few-Shot Learning
— Unverified 00 Investigating Persuasion Techniques in Arabic: An Empirical Study Leveraging Large Language Models May 21, 2024 Binary Classification Few-Shot Learning
— Unverified 00 Investigating Vision-Language Model for Point Cloud-based Vehicle Classification Apr 10, 2025 Autonomous Driving Classification
— Unverified 00 IPNET:Influential Prototypical Networks for Few Shot Learning Aug 19, 2022 Few-Shot Learning Meta-Learning
— Unverified 00 Iris: An AI-Driven Virtual Tutor For Computer Science Education May 9, 2024 Few-Shot Learning
— Unverified 00 ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks Jan 30, 2025 Brain Computer Interface Classification
— Unverified 00 Is Meta-training Really Necessary for Molecular Few-Shot Learning ? Apr 2, 2024 Drug Discovery Few-Shot Learning
— Unverified 00 IsOBS: An Information System for Oracle Bone Script Oct 1, 2020 Few-Shot Learning Retrieval
— Unverified 00 Is Pre-training Truly Better Than Meta-Learning? Jun 24, 2023 Diversity Few-Shot Learning
— Unverified 00 Is Support Set Diversity Necessary for Meta-Learning? Nov 28, 2020 Diversity Few-Shot Learning
— Unverified 00 Is Temporal Prompting All We Need For Limited Labeled Action Recognition? Apr 2, 2025 Action Recognition All
— Unverified 00 Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? Feb 27, 2020 Few-Shot Learning Meta-Learning
— Unverified 00 Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles Nov 27, 2023 Few-Shot Learning Zero-Shot Learning
— Unverified 00 It's About Time: Incorporating Temporality in Retrieval Augmented Language Models Jan 24, 2024 Few-Shot Learning Hallucination
— Unverified 00 IUP: An Intelligent Utility Prediction Scheme for Solid-State Fermentation in 5G IoT Mar 28, 2021 Few-Shot Learning Prediction
— Unverified 00 JamPatoisNLI: A Jamaican Patois Natural Language Inference Dataset Dec 7, 2022 Cross-Lingual Transfer Few-Shot Learning
— Unverified 00 Japanese-English Sentence Translation Exercises Dataset for Automatic Grading Mar 6, 2024 Few-Shot Learning In-Context Learning
— Unverified 00 JASMINE: Arabic GPT Models for Few-Shot Learning Dec 21, 2022 Few-Shot Learning
— Unverified 00 KECP: Knowledge Enhanced Contrastive Prompting for Few-shot Extractive Question Answering May 6, 2022 Contrastive Learning Extractive Question-Answering
— Unverified 00 Kernel Methods in Hyperbolic Spaces Jan 1, 2021 Few-Shot Learning image-classification
— Unverified 00 KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting Feb 21, 2023 Entity Retrieval Few-Shot Learning
— Unverified 00 KNN Transformer with Pyramid Prompts for Few-Shot Learning Oct 14, 2024 Few-Shot Learning
— Unverified 00 Knowledge Acquisition on Mass-shooting Events via LLMs for AI-Driven Justice Apr 17, 2025 Articles Few-Shot Learning
— Unverified 00 Knowledge-augmented Few-shot Visual Relation Detection Mar 9, 2023 Diversity Few-Shot Learning
— Unverified 00 Knowledge Distillation Meets Few-Shot Learning: An Approach for Few-Shot Intent Classification Within and Across Domains May 1, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 00 Knowledge-Driven New Drug Recommendation Oct 11, 2022 Few-Shot Learning Multi-Label Classification
— Unverified 00 Knowledge-grounded Dialog State Tracking Oct 13, 2022 dialog state tracking Few-Shot Learning
— Unverified 00 Knowledge Guided Metric Learning for Few-Shot Text Classification Apr 4, 2020 Classification Few-Shot Learning
— Unverified 00 Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition Sep 20, 2020 Few-Shot Learning Multi-Label Image Recognition
— Unverified 00 L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout Apr 8, 2019 Few-Shot Learning Meta-Learning
— Unverified 00 L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models Feb 7, 2024 Few-Shot Learning In-Context Learning
— Unverified 00 Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting Jun 19, 2021 Few-Shot Learning
— Unverified 00 Labeled Memory Networks for Online Model Adaptation Jul 5, 2017 Few-Shot Learning Meta-Learning
— Unverified 00 Label-guided Data Augmentation for Prompt-based Few Shot Learners Jan 16, 2022 Data Augmentation Few-Shot Learning
— Unverified 00 LADs: Leveraging LLMs for AI-Driven DevOps Feb 28, 2025 Few-Shot Learning Retrieval-augmented Generation
— Unverified 00 Language-guided Few-shot Semantic Segmentation Nov 23, 2023 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified 00 Language Models are General-Purpose Interfaces Jun 13, 2022 Causal Language Modeling Few-Shot Learning
— Unverified 00 Language models are weak learners Jun 25, 2023 Few-Shot Learning Language Modelling
— Unverified 00 Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems Aug 14, 2020 Dialogue State Tracking Few-Shot Learning
— Unverified 00 Large Language Models: A New Approach for Privacy Policy Analysis at Scale May 31, 2024 Few-Shot Learning
— Unverified 00 Large Language Models are Unreliable for Cyber Threat Intelligence Mar 29, 2025 Few-Shot Learning Zero-Shot Learning
— Unverified 00 Large Language Models as Computable Approximations to Solomonoff Induction May 21, 2025 Few-Shot Learning In-Context Learning
— Unverified 00 Large Language Models for Patient Comments Multi-Label Classification Oct 31, 2024 De-identification Few-Shot Learning
— Unverified 00 Large Language Models for Solving Economic Dispatch Problem May 28, 2025 Few-Shot Learning
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