TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification Dec 12, 2023 Few-Shot Learning image-classification
— Unverified Efficient few-shot learning for pixel-precise handwritten document layout analysis Oct 27, 2022 Document Layout Analysis Few-Shot Learning
— Unverified Efficient Few-Shot Medical Image Analysis via Hierarchical Contrastive Vision-Language Learning Jan 16, 2025 Contrastive Learning Few-Shot Learning
— Unverified Efficient Meta Learning via Minibatch Proximal Update Dec 1, 2019 Few-Shot Learning Meta-Learning
— Unverified Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering May 23, 2023 Fact Verification Few-Shot Learning
— Unverified EICO: Improving Few-Shot Text Classification via Explicit and Implicit Consistency Regularization May 1, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Embedding Adaptation is Still Needed for Few-Shot Learning Apr 15, 2021 Clustering Few-Shot Learning
— Unverified Embedding Space Allocation with Angle-Norm Joint Classifiers for Few-Shot Class-Incremental Learning Nov 14, 2024 class-incremental learning Class Incremental Learning
— Unverified EMO: Episodic Memory Optimization for Few-Shot Meta-Learning Jun 8, 2023 Few-Shot Learning Meta-Learning
— Unverified Empirical Evaluation of Topic Zero- and Few-Shot Learning for Stance Dissonance Detection Nov 16, 2021 Few-Shot Learning Stance Detection
— Unverified Empowering Large Language Models for Textual Data Augmentation Apr 26, 2024 Data Augmentation Diversity
— Unverified EMR Coding with Semi-Parametric Multi-Head Matching Networks Jun 1, 2018 Few-Shot Learning General Classification
— Unverified Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values Oct 14, 2022 Classification Few-Shot Learning
— Unverified Enabling hand gesture customization on wrist-worn devices Mar 29, 2022 Few-Shot Learning Transfer Learning
— Unverified Enabling ISP-less Low-Power Computer Vision Oct 11, 2022 Demosaicking Few-Shot Learning
— Unverified Enabling the Network to Surf the Internet Feb 24, 2021 Few-Shot Learning Self-Supervised Learning
— Unverified English-Malay Word Embeddings Alignment for Cross-lingual Emotion Classification with Hierarchical Attention Network May 1, 2022 Cross-Lingual Word Embeddings Emotion Classification
— Unverified Enhanced Few-shot Learning for Intrusion Detection in Railway Video Surveillance Nov 9, 2020 Few-Shot Learning Intrusion Detection
— Unverified Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines May 8, 2025 Contrastive Learning Few-Shot Learning
— Unverified Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability Nov 29, 2024 Domain Adaptation domain classification
— Unverified Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation Jul 29, 2024 Code Translation Few-Shot Learning
— Unverified Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Nov 25, 2024 Data Augmentation Drug Discovery
— Unverified Enhancing Instance-Level Image Classification with Set-Level Labels Nov 9, 2023 Classification Few-Shot Learning
— Unverified Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling Mar 3, 2025 Answer Generation Computational Efficiency
— Unverified Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation Apr 7, 2025 Data Augmentation Few-Shot Learning
— Unverified Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning May 4, 2024 Articles Few-Shot Learning
— Unverified Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Nov 8, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations Apr 22, 2025 Benchmarking Few-Shot Learning
— Unverified Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning Feb 3, 2024 Few-Shot Learning Learning-To-Rank
— Unverified Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs Jun 4, 2024 Benchmarking Fairness
— Unverified Ensemble Making Few-Shot Learning Stronger May 12, 2021 Few-Shot Learning Relation
— Unverified Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Aug 22, 2024 Few-Shot Learning
— Unverified EPIC: Efficient Position-Independent Caching for Serving Large Language Models Oct 20, 2024 Chunking Few-Shot Learning
— Unverified Episodic-free Task Selection for Few-shot Learning Jan 31, 2024 Contrastive Learning Few-Shot Learning
— Unverified Eureka: Neural Insight Learning for Knowledge Graph Reasoning Oct 1, 2022 Few-Shot Learning
— Unverified Evaluating Data Influence in Meta Learning Jan 27, 2025 Bilevel Optimization Computational Efficiency
— Unverified Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning Jul 17, 2024 Few-Shot Learning In-Context Learning
— Unverified Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care Jun 23, 2024 Classification Few-Shot Learning
— Unverified Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings Mar 11, 2024 Few-Shot Learning object-detection
— Unverified Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Jul 6, 2023 Few-Shot Learning Model Selection
— Unverified Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language Apr 27, 2024 Few-Shot Learning In-Context Learning
— Unverified Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model Mar 8, 2025 Few-Shot Learning Language Modeling
— Unverified EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Sep 24, 2024 Domain Adaptation EEG
— Unverified Evolutionary Pre-Prompt Optimization for Mathematical Reasoning Dec 5, 2024 Few-Shot Learning GSM8K
— Unverified Evolving Losses for Unlabeled Video Representation Learning Jun 7, 2019 Few-Shot Learning Multi-Task Learning
— Unverified Evolving Losses for Unsupervised Video Representation Learning Feb 26, 2020 Action Recognition Few-Shot Learning
— Unverified Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization? Apr 27, 2022 Continual Learning Few-Shot Learning
— Unverified Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning Feb 5, 2022 class-incremental learning Class Incremental Learning
— Unverified Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning Oct 18, 2023 Compressive Sensing Few-Shot Learning
— Unverified ExpertGenQA: Open-ended QA generation in Specialized Domains Mar 4, 2025 Diversity Few-Shot Learning
— Unverified 