What Makes Data-to-Text Generation Hard for Pretrained Language Models? May 23, 2022 Data-to-Text Generation Few-Shot Learning
— Unverified 00 What Makes Good Few-shot Examples for Vision-Language Models? May 22, 2024 Active Learning Few-Shot Learning
— Unverified 00 What's in a Measurement? Using GPT-3 on SemEval 2021 Task 8 -- MeasEval Jun 28, 2021 Few-Shot Learning Language Modelling
— Unverified 00 When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework Jan 18, 2022 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 00 When hard negative sampling meets supervised contrastive learning Aug 28, 2023 Contrastive Learning Few-Shot Learning
— Unverified 00 When the Few Outweigh the Many: Illicit Content Recognition with Few-Shot Learning Nov 28, 2023 Few-Shot Learning
— Unverified 00 Where2Explore: Few-shot Affordance Learning for Unseen Novel Categories of Articulated Objects Sep 14, 2023 Efficient Exploration Few-Shot Learning
— Unverified 00 Which images to label for few-shot medical landmark detection? Dec 7, 2021 Few-Shot Learning
— Unverified 00 Will Multi-modal Data Improves Few-shot Learning? Jul 25, 2021 Few-Shot Learning
— Unverified 00 WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles May 20, 2024 Articles Few-Shot Learning
— Unverified 00 WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV May 18, 2024 Few-Shot Learning Text Generation
— Unverified 00 Wordcraft: a Human-AI Collaborative Editor for Story Writing Jul 15, 2021 Few-Shot Learning
— Unverified 00 xCoT: Cross-lingual Instruction Tuning for Cross-lingual Chain-of-Thought Reasoning Jan 13, 2024 Few-Shot Learning Language Modelling
— Unverified 00 Zero and Few-shot Learning for Author Profiling Apr 22, 2022 Author Profiling Few-Shot Learning
— Unverified 00 Zero and Few Shot Learning with Semantic Feature Synthesis and Competitive Learning Oct 19, 2018 Attribute Few-Shot Learning
— Unverified 00 Zero- and Few-Shot NLP with Pretrained Language Models May 1, 2022 Few-Shot Learning
— Unverified 00 Zero-Shot and Few-Shot Learning for Lung Cancer Multi-Label Classification using Vision Transformer May 30, 2022 Few-Shot Learning Lung Cancer Diagnosis
— Unverified 00 Zero-shot and Few-shot Learning with Instruction-following LLMs for Claim Matching in Automated Fact-checking Jan 18, 2025 Binary Classification Fact Checking
— Unverified 00 Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning Mar 5, 2024 Event Causality Identification Few-Shot Learning
— Unverified 00 Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Apr 29, 2020 Autonomous Vehicles COVID-19 Diagnosis
— Unverified 00 Zero-Shot Learning via Class-Conditioned Deep Generative Models Nov 15, 2017 Few-Shot Learning Zero-Shot Learning
— Unverified 00 Z-Score Normalization, Hubness, and Few-Shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified 00 Incremental Few-Shot Learning for Pedestrian Attribute Recognition Jun 2, 2019 Attribute Few-Shot Learning
— Unverified 00 Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach Sep 20, 2019 Few-Shot Learning Logical Reasoning
— Unverified 00 A Rational Model of Dimension-reduced Human Categorization May 22, 2023 Few-Shot Learning model
— Unverified 00 A deep learning-enabled smart garment for accurate and versatile sleep conditions monitoring in daily life Aug 1, 2024 Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
— Unverified 00 Granting GPT-4 License and Opportunity: Enhancing Accuracy and Confidence Estimation for Few-Shot Event Detection Aug 1, 2024 Event Detection Few-Shot Learning
— Unverified 00 Cross-domain Named Entity Recognition via Graph Matching Aug 2, 2024 Cross-Domain Named Entity Recognition Few-Shot Learning
— Unverified 00 GNN-SKAN: Harnessing the Power of SwallowKAN to Advance Molecular Representation Learning with GNNs Aug 2, 2024 Computational Efficiency Drug Design
— Unverified 00 Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process Aug 4, 2024 Diversity Few-Shot Learning
— Unverified 00 Recent Advances in Multi-Choice Machine Reading Comprehension: A Survey on Methods and Datasets Aug 4, 2024 Few-Shot Learning Machine Reading Comprehension
— Unverified 00 Evolution imposes an inductive bias that alters and accelerates learning dynamics May 15, 2025 Few-Shot Learning Inductive Bias
— Unverified 00 FlowBERT: Prompt-tuned BERT for variable flow field prediction May 20, 2025 Dimensionality Reduction Few-Shot Learning
— Unverified 00 On The Impact of Merge Request Deviations on Code Review Practices Jun 10, 2025 Feature Importance Few-Shot Learning
— Unverified 00 3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve Dec 23, 2021 Action Recognition Dynamic Time Warping
— Unverified 00 3D-VirtFusion: Synthetic 3D Data Augmentation through Generative Diffusion Models and Controllable Editing Aug 25, 2024 Data Augmentation Diversity
— Unverified 00 A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment Jan 1, 2025 Few-Shot Learning Prompt Learning
— Unverified 00 A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task Apr 18, 2025 Attribute Binary Classification
— Unverified 00 Accelerating Neural Self-Improvement via Bootstrapping May 2, 2023 Few-Shot Learning Meta-Learning
— Unverified 00 A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification Jul 16, 2024 Benchmarking Few-Shot Learning
— Unverified 00 A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Dec 31, 2020 Few-Shot Learning
— Unverified 00 A Closer Look at Prototype Classifier for Few-shot Image Classification Oct 11, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified 00 A Comparative Analysis of Fine-Tuned LLMs and Few-Shot Learning of LLMs for Financial Sentiment Analysis Dec 14, 2023 Few-Shot Learning In-Context Learning
— Unverified 00 A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification May 10, 2020 Few-Shot Learning General Classification
— Unverified 00 A comprehensive and easy-to-use multi-domain multi-task medical imaging meta-dataset (MedIMeta) Apr 24, 2024 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 00 A Comprehensive Evaluation of Large Language Models on Mental Illnesses in Arabic Context Jan 12, 2025 Binary Classification Diagnostic
— Unverified 00 A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Apr 17, 2020 BIG-bench Machine Learning Deep Learning
— Unverified 00 A Comprehensive Review of Few-shot Action Recognition Jul 20, 2024 Action Recognition Few-Shot action recognition
— Unverified 00 A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities May 13, 2022 Few-Shot Learning Meta-Learning
— Unverified 00 A Contrastive Self-Supervised Learning scheme for beat tracking amenable to few-shot learning Nov 6, 2024 Beat Tracking Few-Shot Learning
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