Centroid-based deep metric learning for speaker recognition Feb 6, 2019 Few-Shot Image Classification Few-Shot Learning
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— Unverified 0Evaluating the Evaluators: Are Current Few-Shot Learning Benchmarks Fit for Purpose? Jul 6, 2023 Few-Shot Learning Model Selection
— Unverified 0Few-shot Learning for Domain-specific Fine-grained Image Classification Jul 23, 2019 Classification Few-Shot Learning
— Unverified 0Episodic-free Task Selection for Few-shot Learning Jan 31, 2024 Contrastive Learning Few-Shot Learning
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— Unverified 0A Novel Compact LLM Framework for Local, High-Privacy EHR Data Applications Dec 3, 2024 Few-Shot Learning
— Unverified 0Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring Jun 16, 2025 Benchmarking Few-Shot Learning
— Unverified 0Evaluation of the Automated Labeling Method for Taxonomic Nomenclature Through Prompt-Optimized Large Language Model Mar 8, 2025 Few-Shot Learning Language Modeling
— Unverified 0EPIC: Efficient Position-Independent Caching for Serving Large Language Models Oct 20, 2024 Chunking Few-Shot Learning
— Unverified 0EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition Sep 24, 2024 Domain Adaptation EEG
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— Unverified 0Evolutionary Pre-Prompt Optimization for Mathematical Reasoning Dec 5, 2024 Few-Shot Learning GSM8K
— Unverified 0Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning Aug 22, 2024 Few-Shot Learning
— Unverified 0Evolving Losses for Unsupervised Video Representation Learning Feb 26, 2020 Action Recognition Few-Shot Learning
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— Unverified 0Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization? Apr 27, 2022 Continual Learning Few-Shot Learning
— Unverified 0Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning Feb 5, 2022 class-incremental learning Class Incremental Learning
— Unverified 0Causal Interventions-based Few-Shot Named Entity Recognition May 3, 2023 Few-Shot Learning few-shot-ner
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— Unverified 0ExpertGenQA: Open-ended QA generation in Specialized Domains Mar 4, 2025 Diversity Few-Shot Learning
— Unverified 0Language-Guided Reinforcement Learning for Hard Attention in Few-Shot Learning Oct 11, 2023 Deep Reinforcement Learning Few-Shot Learning
— Unverified 0Explaining CLIP's performance disparities on data from blind/low vision users Nov 29, 2023 Few-Shot Learning zero-shot-classification
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— Unverified 0Few-Shot Learning for Clinical Natural Language Processing Using Siamese Neural Networks Aug 31, 2022 Deep Learning Few-Shot Learning
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— Unverified 0CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems Sep 10, 2021 dialog state tracking Few-Shot Learning
— Unverified 0Catalysis distillation neural network for the few shot open catalyst challenge May 31, 2023 Computational chemistry Few-Shot Learning
— Unverified 0Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning Jan 19, 2023 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs Jun 4, 2024 Benchmarking Fairness
— Unverified 0Exploiting the Potential of Seq2Seq Models as Robust Few-Shot Learners Jul 27, 2023 Decoder Few-Shot Learning
— Unverified 0Explore the Power of Dropout on Few-shot Learning Jan 26, 2023 Deep Learning Few-Shot Image Classification
— Unverified 0Active Object Manipulation Facilitates Visual Object Learning: An Egocentric Vision Study Jun 4, 2019 Few-Shot Learning Object
— Unverified 0AdaDurIAN: Few-shot Adaptation for Neural Text-to-Speech with DurIAN May 12, 2020 Few-Shot Learning text-to-speech
— Unverified 0Exploring Data Augmentation Methods on Social Media Corpora Mar 3, 2023 Data Augmentation Few-Shot Learning
— Unverified 0Few-shot Learning for Cross-Target Stance Detection by Aggregating Multimodal Embeddings Jan 11, 2023 Few-Shot Learning Stance Detection
— Unverified 0Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning Feb 3, 2024 Few-Shot Learning Learning-To-Rank
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— Unverified 0Exploring Generative AI Techniques in Government: A Case Study Apr 6, 2025 Few-Shot Learning Management
— Unverified 0Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Nov 21, 2023 Data Augmentation Few-Shot Learning
— Unverified 0Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning? Oct 10, 2024 Few-Shot Learning In-Context Learning
— Unverified 0Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning Feb 6, 2024 Few-Shot Learning image-classification
— Unverified 0Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Nov 8, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified 0Exploring representation learning for flexible few-shot tasks Jan 1, 2021 Few-Shot Learning Representation Learning
— Unverified 0Class Interference Regularization Sep 4, 2020 Face Verification Few-Shot Learning
— Unverified 0Exploring Sentiment Dynamics and Predictive Behaviors in Cryptocurrency Discussions by Few-Shot Learning with Large Language Models Sep 4, 2024 Decision Making Few-Shot Learning
— Unverified 0Enhancing News Summarization with ELearnFit through Efficient In-Context Learning and Efficient Fine-Tuning May 4, 2024 Articles Few-Shot Learning
— Unverified 0Can LLMs Assist Annotators in Identifying Morality Frames? -- Case Study on Vaccination Debate on Social Media Feb 4, 2025 Few-Shot Learning
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