MetaGAN: An Adversarial Approach to Few-Shot Learning Dec 1, 2018 Classification Few-Shot Image Classification
— Unverified MetaHistoSeg: A Python Framework for Meta Learning in Histopathology Image Segmentation Sep 29, 2021 Domain Generalization Few-Shot Learning
— Unverified MetaICL: Learning to Learn In Context Jan 16, 2022 Few-Shot Learning In-Context Learning
— Unverified Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors Apr 27, 2024 Few-Shot Learning In-Context Learning
— Unverified Meta-Learned Confidence for Transductive Few-shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified Meta-Learner with Linear Nulling Jun 4, 2018 Classification Few-Shot Learning
— Unverified Meta-Learning across Meta-Tasks for Few-Shot Learning Feb 11, 2020 Domain Adaptation Few-Shot Learning
— Unverified Meta Learning and Its Applications to Natural Language Processing Aug 1, 2021 Dialogue Generation Few-Shot Learning
— Unverified Meta-learning approaches for few-shot learning: A survey of recent advances Mar 13, 2023 Deep Learning Few-Shot Learning
— Unverified Meta-Learning by Hallucinating Useful Examples Sep 25, 2019 Few-Shot Learning Hallucination
— Unverified Meta-Learning for Multi-Label Few-Shot Classification Oct 26, 2021 Classification Few-Shot Learning
— Unverified Meta-Learning Divergences of Variational Inference Jul 6, 2020 Bayesian Inference Computational Efficiency
— Unverified Meta-Learning GNN Initializations for Low-Resource Molecular Property Prediction Jun 12, 2020 Drug Discovery Few-Shot Learning
— Unverified Meta-learning in healthcare: A survey Aug 5, 2023 Few-Shot Learning Meta-Learning
— Unverified Meta-Learning Neural Procedural Biases Jun 12, 2024 Few-Shot Learning Meta-Learning
— Unverified Meta-Learning of NAS for Few-shot Learning in Medical Image Applications Mar 16, 2022 AutoML Few-Shot Learning
— Unverified Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection Mar 1, 2021 Anomaly Detection Few-Shot Learning
— Unverified Meta-Learning to Detect Rare Objects Oct 1, 2019 Few-Shot Learning Few-Shot Object Detection
— Unverified Meta-Learning with Domain Adaptation for Few-Shot Learning under Domain Shift May 1, 2019 Domain Adaptation Few-Shot Learning
— Unverified Meta Learning with Minimax Regularization Sep 29, 2021 Few-Shot Learning Meta-Learning
— Unverified Meta-Learning with Network Pruning Jul 7, 2020 Few-Shot Learning Meta-Learning
— Unverified Meta-Learning with Network Pruning for Overfitting Reduction Sep 25, 2019 Few-Shot Learning Meta-Learning
— Unverified METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos Jun 1, 2020 Few-Shot Learning Relation Network
— Unverified MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization Sep 29, 2020 Few-Shot Learning Meta-Learning
— Unverified Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning Sep 13, 2021 AutoML Few-Shot Learning
— Unverified MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Jan 1, 2021 Domain Generalization Few-Shot Learning
— Unverified Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German Nov 16, 2021 Few-Shot Learning Word Embeddings
— Unverified Meta R-CNN : Towards General Solver for Instance-level Few-shot Learning Sep 28, 2019 Few-Shot Learning Few-Shot Object Detection
— Unverified Meta Reasoning over Knowledge Graphs Aug 13, 2019 Few-Shot Learning Knowledge Base Completion
— Unverified MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails Aug 22, 2022 Dimensionality Reduction Few-Shot Learning
— Unverified MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification Oct 1, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified Meta-Tasks: An alternative view on Meta-Learning Regularization Feb 27, 2024 Few-Shot Learning Meta-Learning
— Unverified Meta-training with Demonstration Retrieval for Efficient Few-shot Learning Jun 30, 2023 Few-Shot Learning GPU
— Unverified Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Apr 25, 2024 Data Augmentation Few-Shot Learning
— Unverified Meta-tuning Loss Functions and Data Augmentation for Few-shot Object Detection Apr 24, 2023 Data Augmentation Few-Shot Learning
— Unverified Meta-World Conditional Neural Processes Feb 20, 2023 Few-Shot Learning Hallucination
— Unverified Intelligent Repetition Counting for Unseen Exercises: A Few-Shot Learning Approach with Sensor Signals Oct 1, 2024 Few-Shot Learning Triplet
— Unverified Metric-Based Few-Shot Learning for Video Action Recognition Sep 14, 2019 Action Recognition Few-Shot Learning
— Unverified Feature Representation in Deep Metric Embeddings Feb 5, 2021 Few-Shot Learning Metric Learning
— Unverified Metric Learning with Background Noise Class for Few-shot Detection of Rare Sound Events Oct 30, 2019 Few-Shot Learning Metric Learning
— Unverified MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Oct 30, 2021 Few-Shot Learning Few-Shot Semantic Segmentation
— Unverified MFORT-QA: Multi-hop Few-shot Open Rich Table Question Answering Mar 28, 2024 Few-Shot Learning Question Answering
— Unverified MGIMN: Multi-Grained Interactive Matching Network for Few-shot Text Classification Apr 11, 2022 Few-Shot Learning Few-Shot Text Classification
— Unverified MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Sep 16, 2021 Few-Shot Learning
— Unverified MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data Apr 26, 2020 Classification Few-Shot Learning
— Unverified Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning Jun 17, 2024 Few-Shot Learning Relation
— Unverified Mining the Explainability and Generalization: Fact Verification Based on Self-Instruction May 21, 2024 Contrastive Learning Data Augmentation
— Unverified Misclassification Detection via Class Augmentation Jan 1, 2021 Few-Shot Learning
— Unverified MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning Apr 19, 2023 Data Augmentation Few-Shot Learning
— Unverified Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding Mar 17, 2024 Few-Shot Learning Language Modelling
— Unverified 