A Broad Dataset is All You Need for One-Shot Object Detection Nov 9, 2020 All Few-Shot Learning
— Unverified 0 Argumentative Stance Prediction: An Exploratory Study on Multimodality and Few-Shot Learning Oct 11, 2023 Argument Mining Few-Shot Learning
— Unverified 0 A Nested Bi-level Optimization Framework for Robust Few Shot Learning Nov 13, 2020 Few-Shot Learning Meta-Learning
— Unverified 0 Affinity Network Fusion and Semi-supervised Learning for Cancer Patient Clustering May 22, 2018 Clustering Few-Shot Learning
— Unverified 0 Fast visual grounding in interaction: bringing few-shot learning with neural networks to an interactive robot Jun 1, 2020 Few-Shot Learning Transfer Learning
— Unverified 0 Fast Task Adaptation for Few-Shot Learning Sep 25, 2019 Few-Shot Learning
— Unverified 0 Generalized Adaptation for Few-Shot Learning Nov 25, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Fast Adaptation with Kernel and Gradient based Meta Leaning Nov 1, 2024 Few-Shot Learning Meta-Learning
— Unverified 0 Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation May 23, 2025 Autonomous Driving cross-modal alignment
— Unverified 0 A Revision of Neural Tangent Kernel-based Approaches for Neural Networks Jul 2, 2020 Few-Shot Learning Learning Theory
— Unverified 0 Fair Few-shot Learning with Auxiliary Sets Aug 28, 2023 Fairness Few-Shot Learning
— Unverified 0 FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning May 13, 2025 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified 0 Clinical Risk Prediction Using Language Models: Benefits And Considerations Nov 29, 2023 Diagnostic Few-Shot Learning
— Unverified 0 Facial Landmark Correlation Analysis Nov 24, 2019 Facial Landmark Detection Few-Shot Learning
— Unverified 0 FACE: Few-shot Adapter with Cross-view Fusion for Cross-subject EEG Emotion Recognition Mar 24, 2025 Domain Adaptation EEG
— Unverified 0 Face Behavior a la carte: Expressions, Affect and Action Units in a Single Network Oct 15, 2019 Emotion Recognition Few-Shot Learning
— Unverified 0 EyeDAS: Securing Perception of Autonomous Cars Against the Stereoblindness Syndrome May 13, 2022 Autonomous Driving Decision Making
— Unverified 0 Are Large Language Models Good Essay Graders? Sep 19, 2024 Automated Essay Scoring Few-Shot Learning
— Unverified 0 A Few Shot Multi-Representation Approach for N-gram Spotting in Historical Manuscripts Sep 21, 2022 Few-Shot Learning Handwritten Text Recognition
— Unverified 0 External-Memory Networks for Low-Shot Learning of Targets in Forward-Looking-Sonar Imagery Jul 22, 2021 Few-Shot Learning Zero-Shot Learning
— Unverified 0 Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting Mar 20, 2024 Domain Adaptation Few-Shot Learning
— Unverified 0 Exploring the Space of Key-Value-Query Models with Intention May 17, 2023 Deep Learning Few-Shot Learning
— Unverified 0 A Reinforcement Learning-based Offensive semantics Censorship System for Chatbots Jul 13, 2022 Chatbot Few-Shot Learning
— Unverified 0 Generalizable Denoising of Microscopy Images using Generative Adversarial Networks and Contrastive Learning Mar 27, 2023 Contrastive Learning Denoising
— Unverified 0 Exploring the MIT Mathematics and EECS Curriculum Using Large Language Models Jun 15, 2023 Electrical Engineering Few-Shot Learning
— Unverified 0 Exploring the LLM Journey from Cognition to Expression with Linear Representations May 27, 2024 Few-Shot Learning
— Unverified 0 CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models Nov 15, 2023 Few-Shot Learning
— Unverified 0 Are Few-shot Learning Benchmarks Too Simple ? Sep 25, 2019 Classification Few-Shot Learning
— Unverified 0 Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers Across Diseases Mar 25, 2024 Few-Shot Learning
— Unverified 0 CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion Feb 22, 2024 Contrastive Learning Few-Shot Learning
— Unverified 0 Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding Apr 2, 2025 Activity Recognition Few-Shot Learning
— Unverified 0 Exploring structure diversity in atomic resolution microscopy with graph neural networks Oct 23, 2024 Diversity Few-Shot Learning
— Unverified 0 Class-Specific Channel Attention for Few-Shot Learning Sep 3, 2022 Few-Shot Classification and Segmentation Few-Shot Image Classification
— Unverified 0 Exploring 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 0 Exploring representation learning for flexible few-shot tasks Jan 1, 2021 Few-Shot Learning Representation Learning
— Unverified 0 Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation Sep 14, 2021 Few-Shot Learning
— Unverified 0 Class Interference Regularization Sep 4, 2020 Face Verification Few-Shot Learning
— Unverified 0 Class-Incremental Few-Shot Event Detection Apr 2, 2024 Event Detection Few-Shot Learning
— Unverified 0 Are Fewer Labels Possible for Few-shot Learning? Dec 10, 2020 Clustering Few-Shot Learning
— Unverified 0 AdaptAgent: Adapting Multimodal Web Agents with Few-Shot Learning from Human Demonstrations Nov 20, 2024 Few-Shot Learning Meta-Learning
— Unverified 0 A Closer Look at Benchmarking Self-Supervised Pre-training with Image Classification Jul 16, 2024 Benchmarking Few-Shot Learning
— Unverified 0 Evolution imposes an inductive bias that alters and accelerates learning dynamics May 15, 2025 Few-Shot Learning Inductive Bias
— Unverified 0 Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning Feb 6, 2024 Few-Shot Learning image-classification
— 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 Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Nov 21, 2023 Data Augmentation Few-Shot Learning
— Unverified 0 Exploring Generative AI Techniques in Government: A Case Study Apr 6, 2025 Few-Shot Learning Management
— Unverified 0 Class Imbalance in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified 0 AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing Jun 11, 2023 Few-Shot Learning
— Unverified 0 Exploring Factual Entailment with NLI: A News Media Study Jun 24, 2024 Articles 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 