Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines May 8, 2025 Contrastive Learning Few-Shot Learning
— Unverified 0 Enhancing AI microscopy for foodborne bacterial classification via adversarial domain adaptation across optical and biological variability Nov 29, 2024 Domain Adaptation domain classification
— Unverified 0 Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation Jul 29, 2024 Code Translation Few-Shot Learning
— Unverified 0 Enhancing Few-Shot Learning with Integrated Data and GAN Model Approaches Nov 25, 2024 Data Augmentation Drug Discovery
— Unverified 0 Enhancing Instance-Level Image Classification with Set-Level Labels Nov 9, 2023 Classification Few-Shot Learning
— Unverified 0 Enhancing Multi-hop Reasoning in Vision-Language Models via Self-Distillation with Multi-Prompt Ensembling Mar 3, 2025 Answer Generation Computational Efficiency
— Unverified 0 Enhancing NER Performance in Low-Resource Pakistani Languages using Cross-Lingual Data Augmentation Apr 7, 2025 Data Augmentation Few-Shot Learning
— Unverified 0 Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning May 4, 2024 Articles Few-Shot Learning
— Unverified 0 Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Nov 8, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Enhancing TCR-Peptide Interaction Prediction with Pretrained Language Models and Molecular Representations Apr 22, 2025 Benchmarking Few-Shot Learning
— Unverified 0 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 0 Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs Jun 4, 2024 Benchmarking Fairness
— Unverified 0 Ensemble Making Few-Shot Learning Stronger May 12, 2021 Few-Shot Learning Relation
— Unverified 0 Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Aug 22, 2024 Few-Shot Learning
— Unverified 0 EPIC: Efficient Position-Independent Caching for Serving Large Language Models Oct 20, 2024 Chunking Few-Shot Learning
— Unverified 0 Episodic-free Task Selection for Few-shot Learning Jan 31, 2024 Contrastive Learning Few-Shot Learning
— Unverified 0 Eureka: Neural Insight Learning for Knowledge Graph Reasoning Oct 1, 2022 Few-Shot Learning
— Unverified 0 Evaluating Data Influence in Meta Learning Jan 27, 2025 Bilevel Optimization Computational Efficiency
— Unverified 0 Evaluating Linguistic Capabilities of Multimodal LLMs in the Lens of Few-Shot Learning Jul 17, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Evaluating the Effectiveness of the Foundational Models for Q&A Classification in Mental Health care Jun 23, 2024 Classification Few-Shot Learning
— Unverified 0 Evaluating the Energy Efficiency of Few-Shot Learning for Object Detection in Industrial Settings Mar 11, 2024 Few-Shot Learning object-detection
— Unverified 0 Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Jul 6, 2023 Few-Shot Learning Model Selection
— Unverified 0 Evaluation of Few-Shot Learning for Classification Tasks in the Polish Language Apr 27, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model Mar 8, 2025 Few-Shot Learning Language Modeling
— Unverified 0 EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Sep 24, 2024 Domain Adaptation EEG
— Unverified 0 Evolutionary Pre-Prompt Optimization for Mathematical Reasoning Dec 5, 2024 Few-Shot Learning GSM8K
— Unverified 0 Evolving Losses for Unlabeled Video Representation Learning Jun 7, 2019 Few-Shot Learning Multi-Task Learning
— Unverified 0 Evolving Losses for Unsupervised Video Representation Learning Feb 26, 2020 Action Recognition Few-Shot Learning
— Unverified 0 Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization? Apr 27, 2022 Continual Learning Few-Shot Learning
— Unverified 0 Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning Feb 5, 2022 class-incremental learning Class Incremental Learning
— Unverified 0 Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning Oct 18, 2023 Compressive Sensing Few-Shot Learning
— Unverified 0 ExpertGenQA: Open-ended QA generation in Specialized Domains Mar 4, 2025 Diversity Few-Shot Learning
— Unverified 0 Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning Oct 11, 2023 Deep Reinforcement Learning Few-Shot Learning
— Unverified 0 Explaining CLIP's performance disparities on data from blind/low vision users Nov 29, 2023 Few-Shot Learning zero-shot-classification
— Unverified 0 Explaining Representation by Mutual Information Mar 28, 2021 BIG-bench Machine Learning Few-Shot Learning
— Unverified 0 Explicit Knowledge Transfer for Weakly-Supervised Code Generation Nov 30, 2022 Code Generation Few-Shot Learning
— Unverified 0 Exploiting Language Model Prompts Using Similarity Measures: A Case Study on the Word-in-Context Task May 1, 2022 Few-Shot Learning In-Context Learning
— Unverified 0 Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Jan 19, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Exploiting the Matching Information in the Support Set for Few Shot Event Classification Feb 13, 2020 Classification Few-Shot Learning
— Unverified 0 Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners Jul 27, 2023 Decoder Few-Shot Learning
— Unverified 0 Explore the Power of Dropout on Few-shot Learning Jan 26, 2023 Deep Learning Few-Shot Image Classification
— Unverified 0 Exploring Data Augmentation Methods on Social Media Corpora Mar 3, 2023 Data Augmentation Few-Shot Learning
— Unverified 0 Exploring Example Selection for Few-shot Text-to-SQL Semantic Parsing Jan 16, 2022 Few-Shot Learning In-Context Learning
— Unverified 0 Exploring Factual Entailment with NLI: A News Media Study Jun 24, 2024 Articles Few-Shot Learning
— Unverified 0 Exploring Generative AI Techniques in Government: A Case Study Apr 6, 2025 Few-Shot Learning Management
— Unverified 0 Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Nov 21, 2023 Data Augmentation Few-Shot Learning
— Unverified 0 Exploring internal representation of self-supervised networks: few-shot learning abilities and comparison with human semantics and recognition of objects Apr 29, 2025 Contrastive Learning Few-Shot Learning
— Unverified 0 Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning Feb 6, 2024 Few-Shot Learning image-classification
— Unverified 0 Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation Sep 14, 2021 Few-Shot Learning
— Unverified 0 Exploring representation learning for flexible few-shot tasks Jan 1, 2021 Few-Shot Learning Representation Learning
— Unverified 0 