TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Jan 25, 2021 Few-Shot Learning Relation
— Unverified 0 Attacking Few-Shot Classifiers with Adversarial Support Sets Jan 1, 2021 Few-Shot Learning General Classification
— Unverified 0 Attention-based Few-Shot Person Re-identification Using Meta Learning Jun 24, 2018 Few-Shot Learning Meta-Learning
— Unverified 0 Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation Jul 1, 2019 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified 0 Attentive Graph Neural Networks for Few-Shot Learning Jul 14, 2020 Few-Shot Learning
— Unverified 0 Attentive Prototype Few-shot Learning with Capsule Network-based Embedding Aug 1, 2020 Classification Few-Shot Learning
— Unverified 0 A Two-phase Prototypical Network Model for Incremental Few-shot Relation Classification Dec 1, 2020 Few-Shot Learning Few-Shot Relation Classification
— Unverified 0 A Two-Stage Approach to Few-Shot Learning for Image Recognition Dec 10, 2019 Few-Shot Learning General Classification
— Unverified 0 Towards Practical Few-shot Federated NLP Dec 1, 2022 Data Augmentation Federated Learning
— Unverified 0 Augmented Bi-path Network for Few-shot Learning Jul 15, 2020 Few-Shot Learning
— Unverified 0 A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning Jun 27, 2017 Few-Shot Learning Generalized Zero-Shot Learning
— Unverified 0 A Conceptual Framework for Lifelong Learning Nov 21, 2019 Continual Learning Few-Shot Learning
— Unverified 0 A Unified Framework for Lifelong Learning in Deep Neural Networks Nov 28, 2019 Few-Shot Learning Lifelong learning
— Unverified 0 A Unified Framework with Meta-dropout for Few-shot Learning Oct 12, 2022 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 AutoConv: Automatically Generating Information-seeking Conversations with Large Language Models Aug 12, 2023 Few-Shot Learning Language Modeling
— Unverified 0 Auto-Demo Prompting: Leveraging Generated Outputs as Demonstrations for Enhanced Batch Prompting Oct 2, 2024 Computational Efficiency Few-Shot Learning
— Unverified 0 Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Mar 25, 2020 Diversity Few-Shot Learning
— Unverified 0 Automated Few-Shot Time Series Forecasting based on Bi-level Programming Mar 7, 2022 Decision Making Few-Shot Learning
— Unverified 0 Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning Jul 27, 2021 Classification Few-Shot Learning
— Unverified 0 Automate Knowledge Concept Tagging on Math Questions with LLMs Mar 26, 2024 Few-Shot Learning Math
— Unverified 0 Automatic Combination of Sample Selection Strategies for Few-Shot Learning Feb 5, 2024 Few-Shot Learning In-Context Learning
— Unverified 0 Automatic detection of rare pathologies in fundus photographs using few-shot learning Jul 22, 2019 Few-Shot Learning One-Shot Learning
— Unverified 0 Automatic Identification of Coal and Rock/Gangue Based on DenseNet and Gaussian Process Aug 31, 2022 Few-Shot Learning
— Unverified 0 Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data Jun 15, 2020 Attribute Few-Shot Learning
— Unverified 0 Autosen: improving automatic wifi human sensing through cross-modal autoencoder Jan 8, 2024 Few-Shot Learning Self-Supervised Learning
— Unverified 0 Auto-view contrastive learning for few-shot image recognition Jan 1, 2021 Contrastive Learning Few-Shot Learning
— Unverified 0 AutoWS: Automated Weak Supervision Framework for Text Classification Feb 7, 2023 Active Learning Classification
— Unverified 0 A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model May 17, 2024 Astronomy Few-Shot Learning
— Unverified 0 A Weakly Supervised Segmentation Network Embedding Cross-scale Attention Guidance and Noise-sensitive Constraint for Detecting Tertiary Lymphoid Structures of Pancreatic Tumors Jul 27, 2023 Few-Shot Learning Network Embedding
— Unverified 0 A Weak Supervision Approach for Few-Shot Aspect Based Sentiment May 19, 2023 Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)
— Unverified 0 Baby steps towards few-shot learning with multiple semantics Jun 5, 2019 Few-Shot Image Classification Few-Shot Learning
— Unverified 0 Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models Oct 1, 2019 Few-Shot Learning Form
— Unverified 0 Batch Group Normalization Dec 4, 2020 Domain Adaptation Few-Shot Learning
— Unverified 0 Bayesian Embeddings for Few-Shot Open World Recognition Jul 29, 2021 Decision Making Few-Shot Learning
— Unverified 0 BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization Sep 27, 2019 Few-Shot Learning Representation Learning
— Unverified 0 LAraBench: Benchmarking Arabic AI with Large Language Models May 24, 2023 Benchmarking Few-Shot Learning
— Unverified 0 Benchmarking Large Language Model Capabilities for Conditional Generation Jun 29, 2023 Benchmarking Few-Shot Learning
— Unverified 0 Benchmarking Toxic Molecule Classification using Graph Neural Networks and Few Shot Learning Nov 22, 2023 Benchmarking Drug Discovery
— Unverified 0 Better (pseudo-)labels for semi-supervised instance segmentation Mar 18, 2024 Few-Shot Learning image-classification
— Unverified 0 Beyond CLIP Generalization: Against Forward&Backward Forgetting Adapter for Continual Learning of Vision-Language Models May 12, 2025 Continual Learning Few-Shot Learning
— Unverified 0 Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting Nov 24, 2024 Few-Shot Learning Synthetic Data Generation
— Unverified 0 Beyond Deepfake Images: Detecting AI-Generated Videos Apr 24, 2024 Face Swapping Few-Shot Learning
— Unverified 0 Beyond English: Evaluating LLMs for Arabic Grammatical Error Correction Dec 13, 2023 Few-Shot Learning Grammatical Error Correction
— Unverified 0 Beyond Few-shot Object Detection: A Detailed Survey Aug 26, 2024 Few-Shot Learning Few-Shot Object Detection
— Unverified 0 Beyond Linearity: Squeeze-and-Recalibrate Blocks for Few-Shot Whole Slide Image Classification May 21, 2025 Few-Shot Learning image-classification
— Unverified 0 Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Jan 13, 2022 Active Learning continual few-shot learning
— Unverified 0 Bias Testing and Mitigation in LLM-based Code Generation Sep 3, 2023 Code Generation Fairness
— Unverified 0 Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation Nov 19, 2020 Few-Shot Learning Image Segmentation
— Unverified 0 Bi-Level Meta-Learning for Few-Shot Domain Generalization Jan 1, 2023 Domain Generalization Few-Shot Learning
— Unverified 0 Bilevel Programming for Hyperparameter Optimization and Meta-Learning Jun 13, 2018 Few-Shot Learning Hyperparameter Optimization
— Unverified 0 