Local Propagation for Few-Shot Learning Jan 5, 2021 Few-Shot Learning
— Unverified Fixed-MAML for Few Shot Classification in Multilingual Speech Emotion Recognition Jan 5, 2021 Emotion Recognition Few-Shot Learning
Code Code Available Z-Score Normalization, Hubness, and Few-Shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified A Theory of Self-Supervised Framework for Few-Shot Learning Jan 1, 2021 Few-Shot Learning Self-Supervised Learning
— Unverified Attacking Few-Shot Classifiers with Adversarial Support Sets Jan 1, 2021 Few-Shot Learning General Classification
— Unverified Auto-view contrastive learning for few-shot image recognition Jan 1, 2021 Contrastive Learning Few-Shot Learning
— Unverified Class Imbalance in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified Coarsely-Labeled Data for Better Few-Shot Transfer Jan 1, 2021 Few-Shot Learning Representation Learning
Code Code Available Context-Agnostic Learning Using Synthetic Data Jan 1, 2021 Classification Few-Shot Learning
— Unverified cross-modal knowledge enhancement mechanism for few-shot learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified Curvature Generation in Curved Spaces for Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified Cut out the annotator, keep the cutout: better segmentation with weak supervision Jan 1, 2021 Data Augmentation Few-Shot Learning
— Unverified Exploring representation learning for flexible few-shot tasks Jan 1, 2021 Few-Shot Learning Representation Learning
— Unverified Fewmatch: Dynamic Prototype Refinement for Semi-Supervised Few-Shot Learning Jan 1, 2021 Few-Shot Learning Pseudo Label
— Unverified Few-Round Learning for Federated Learning Jan 1, 2021 Federated Learning Few-Shot Learning
— Unverified Improve Novel Class Generalization By Adaptive Feature Distribution for Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified Incremental few-shot learning via vector quantization in deep embedded space Jan 1, 2021 class-incremental learning Class Incremental Learning
— Unverified Kernel Methods in Hyperbolic Spaces Jan 1, 2021 Few-Shot Learning image-classification
— Unverified Learning Semantic Similarities for Prototypical Classifiers Jan 1, 2021 Few-Shot Learning Metric Learning
— Unverified Learning To Hallucinate Examples From Extrinsic and Intrinsic Supervision Jan 1, 2021 Contrastive Learning Few-Shot Learning
— Unverified Learning to Learn with Smooth Regularization Jan 1, 2021 Decision Making Few-Shot Learning
— Unverified MASP: Model-Agnostic Sample Propagation for Few-shot learning Jan 1, 2021 Few-Shot Learning
— Unverified MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack Jan 1, 2021 Adversarial Attack Few-Shot Learning
— Unverified Meta-Learned Confidence for Transductive Few-shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified MetaNorm: Learning to Normalize Few-Shot Batches Across Domains Jan 1, 2021 Domain Generalization Few-Shot Learning
— Unverified Misclassification Detection via Class Augmentation Jan 1, 2021 Few-Shot Learning
— Unverified Multi-Representation Ensemble in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified On the Role of Pre-training for Meta Few-Shot Learning Jan 1, 2021 Disentanglement Few-Shot Learning
— Unverified Pseudo-Loss Confidence Metric for Semi-Supervised Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified Robust Meta-learning with Noise via Eigen-Reptile Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified Task-Aware Part Mining Network for Few-Shot Learning Jan 1, 2021 Few-Shot Learning Meta-Learning
— Unverified Towards Understanding the Cause of Error in Few-Shot Learning Jan 1, 2021 Few-Shot Learning
— Unverified A Closer Look at Few-Shot Crosslingual Transfer: The Choice of Shots Matters Dec 31, 2020 Few-Shot Learning
— Unverified C-Norm: a neural approach to few-shot entity normalization Dec 29, 2020 Few-Shot Learning Medical Concept Normalization
Code Code Available Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentation Dec 28, 2020 Few-Shot Learning Point Cloud Segmentation
— Unverified Power Normalizations in Fine-grained Image, Few-shot Image and Graph Classification Dec 27, 2020 Few-Shot Learning General Classification
— Unverified Few Shot Learning With No Labels Dec 26, 2020 Few-Shot Learning
— Unverified Personalized Adaptive Meta Learning for Cold-start User Preference Prediction Dec 22, 2020 Few-Shot Learning Meta-Learning
— Unverified PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning Dec 20, 2020 Contrastive Learning Few-Shot Learning
— Unverified Few-shot Sequence Learning with Transformers Dec 17, 2020 Few-Shot Learning Meta-Learning
— Unverified Direct multimodal few-shot learning of speech and images Dec 10, 2020 Few-Shot Learning Transfer Learning
Code Code Available Probing Few-Shot Generalization with Attributes Dec 10, 2020 Attribute Few-Shot Learning
— Unverified Are Fewer Labels Possible for Few-shot Learning? Dec 10, 2020 Clustering Few-Shot Learning
— Unverified RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation Dec 4, 2020 All Decoder
— Unverified Batch Group Normalization Dec 4, 2020 Domain Adaptation Few-Shot Learning
— Unverified Meta-Generating Deep Attentive Metric for Few-shot Classification Dec 3, 2020 Classification Few-Shot Learning
Code Code Available SB-MTL: Score-based Meta Transfer-Learning for Cross-Domain Few-Shot Learning Dec 3, 2020 Cross-Domain Few-Shot cross-domain few-shot learning
— Unverified A Study of Few-Shot Audio Classification Dec 2, 2020 Audio Classification BIG-bench Machine Learning
— Unverified 