GLAD: Generalizable Tuning for Vision-Language Models Jul 17, 2025 Domain Generalization Few-Shot Learning
— Unverified GDC- Generalized Distribution Calibration for Few-Shot Learning Apr 11, 2022 Few-Shot Learning
— Unverified Auto-view contrastive learning for few-shot image recognition Jan 1, 2021 Contrastive Learning Few-Shot Learning
— Unverified Improving Few-Shot Visual Classification with Unlabelled Examples Sep 28, 2020 Classification Clustering
— Unverified Global in Local: A Convolutional Transformer for SAR ATR FSL Aug 10, 2023 Few-Shot Learning
— Unverified Deep few-shot learning for bi-temporal building change detection Aug 25, 2021 Change Detection Few-Shot Learning
— Unverified Improving out-of-distribution generalization via multi-task self-supervised pretraining Mar 30, 2020 Adversarial Robustness Domain Generalization
— Unverified TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learning Mar 7, 2024 Continual Learning Definition Extraction
— Unverified In-BoXBART: Get Instructions into Biomedical Multi-task Learning Jan 16, 2022 Few-Shot Learning Multi-Task Learning
— Unverified GCCN: Global Context Convolutional Network Oct 22, 2021 Few-Shot Image Classification Few-Shot Learning
— Unverified DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-shot Learning Nov 18, 2022 Crowd Counting Few-Shot Learning
— Unverified Improving Few-Shot Learning using Composite Rotation based Auxiliary Task Jun 29, 2020 Classification Few-Shot Learning
— Unverified Autosen: improving automatic wifi human sensing through cross-modal autoencoder Jan 8, 2024 Few-Shot Learning Self-Supervised Learning
— Unverified Gaussian Process Conditional Density Estimation Oct 30, 2018 Density Estimation Few-Shot Learning
— Unverified Adaptive Prompt Tuning: Vision Guided Prompt Tuning with Cross-Attention for Fine-Grained Few-Shot Learning Dec 19, 2024 Few-Shot Learning Visual Prompt Tuning
— Unverified f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning Mar 25, 2019 Data Augmentation Few-Shot Learning
— Unverified GPTree: Towards Explainable Decision-Making via LLM-powered Decision Trees Nov 13, 2024 Decision Making Feature Engineering
— Unverified Fuzzy Simplicial Networks: A Topology-Inspired Model to Improve Task Generalization in Few-shot Learning Sep 23, 2020 Few-Shot Learning
— Unverified DA-FDFtNet: Dual Attention Fake Detection Fine-tuning Network to Detect Various AI-Generated Fake Images Dec 22, 2021 Few-Shot Learning
— Unverified Gradient Boosting Trees and Large Language Models for Tabular Data Few-Shot Learning Nov 6, 2024 Diversity Few-Shot Learning
— Unverified Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models Mar 12, 2023 Domain Generalization Few-Shot Learning
— Unverified Gradual Relation Network: Decoding Intuitive Upper Extremity Movement Imaginations Based on Few-Shot EEG Learning May 6, 2020 Brain Computer Interface EEG
— Unverified ALMA: Alignment with Minimal Annotation Dec 5, 2024 Few-Shot Learning Language Modeling
— Unverified Improving Few-shot Learning with Weakly-supervised Object Localization May 25, 2021 Few-Shot Learning Metric Learning
— Unverified FungiTastic: A multi-modal dataset and benchmark for image categorization Aug 24, 2024 Classification Few-Shot Learning
— Unverified Graph-DPEP: Decomposed Plug and Ensemble Play for Few-Shot Document Relation Extraction with Graph-of-Thoughts Reasoning Nov 5, 2024 Document-level Relation Extraction Few-Shot Learning
— Unverified Function-words Enhanced Attention Networks for Few-Shot Inverse Relation Classification Apr 26, 2022 Few-Shot Learning Meta-Learning
— Unverified A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text Worlds May 9, 2024 Few-Shot Learning Mixture-of-Experts
— Unverified CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Jan 24, 2025 Clustering Few-Shot Learning
— Unverified Graph Machine Learning in the Era of Large Language Models (LLMs) Apr 23, 2024 Few-Shot Learning Knowledge Graphs
— Unverified Function Contrastive Learning of Transferable Meta-Representations Oct 14, 2020 Contrastive Learning Decoder
— Unverified Graph Mining under Data scarcity Jun 7, 2024 Classification Few-Shot Learning
— Unverified Function Contrastive Learning of Transferable Representations Sep 28, 2020 Contrastive Learning Few-Shot Learning
— Unverified Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data Jun 15, 2020 Attribute Few-Shot Learning
— Unverified Fully Fine-tuned CLIP Models are Efficient Few-Shot Learners Jul 4, 2024 Domain Generalization Few-Shot Learning
— Unverified FS-SS: Few-Shot Learning for Fast and Accurate Spike Sorting of High-channel Count Probes Mar 23, 2025 Few-Shot Learning Meta-Learning
— Unverified Cut out the annotator, keep the cutout: better segmentation with weak supervision Jan 1, 2021 Data Augmentation Few-Shot Learning
— Unverified Customize Your Own Paired Data via Few-shot Way May 21, 2024 Few-Shot Learning
— Unverified Learning Multi-level Weight-centric Features for Few-shot Learning Nov 28, 2019 Few-Shot Learning
— Unverified Improving Few-shot Generalization of Safety Classifiers via Data Augmented Parameter-Efficient Fine-Tuning Oct 25, 2023 Data Augmentation Few-Shot Learning
— Unverified Improving Few-Shot Performance of Language Models via Nearest Neighbor Calibration Dec 5, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Growing from Exploration: A self-exploring framework for robots based on foundation models Jan 24, 2024 Few-Shot Learning
— Unverified FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing Sep 17, 2024 Clustering Few-Shot Learning
— Unverified Guided Deep Metric Learning Jun 4, 2022 Few-Shot Learning Knowledge Distillation
— Unverified Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts Jun 20, 2023 Few-Shot Learning
— Unverified Amortized Bayesian Meta-Learning May 1, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified FS-HGR: Few-shot Learning for Hand Gesture Recognition via ElectroMyography Nov 11, 2020 Domain Adaptation Few-Shot Learning
— Unverified HAVE-Net: Hallucinated Audio-Visual Embeddings for Few-Shot Classification with Unimodal Cues Sep 23, 2023 Few-Shot Learning
— Unverified HazardNet: Road Debris Detection by Augmentation of Synthetic Models Mar 14, 2023 Few-Shot Learning
— Unverified Curvature Generation in Curved Spaces for Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified 