Meta-Meta Classification for One-Shot Learning Apr 17, 2020 Classification Few-Shot Learning
Code Code Available Defining Benchmarks for Continual Few-Shot Learning Apr 15, 2020 continual few-shot learning Continual Learning
Code Code Available Few-Shot Single-View 3-D Object Reconstruction with Compositional Priors Apr 14, 2020 3D Reconstruction Decoder
Code Code Available Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL Apr 13, 2020 Few-Shot Learning General Classification
— Unverified Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Apr 13, 2020 Data Augmentation Diversity
Code Code Available Meta-Learning in Neural Networks: A Survey Apr 11, 2020 Few-Shot Learning Hyperparameter Optimization
Code Code Available MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Apr 10, 2020 Few-Shot Learning
Code Code Available From Generalized zero-shot learning to long-tail with class descriptors Apr 5, 2020 Few-Shot Learning Generalized Few-Shot Learning
Code Code Available Knowledge Guided Metric Learning for Few-Shot Text Classification Apr 4, 2020 Classification Few-Shot Learning
— Unverified Optimization of Image Embeddings for Few Shot Learning Apr 4, 2020 Few-Shot Learning Graph Neural Network
— Unverified Learning to Segment the Tail Apr 2, 2020 Few-Shot Learning Incremental Learning
Code Code Available Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Apr 1, 2020 Data Augmentation Few-Shot Learning
— Unverified Learning to Select Base Classes for Few-shot Classification Apr 1, 2020 Classification Few-Shot Learning
— Unverified FGN: Fully Guided Network for Few-Shot Instance Segmentation Mar 31, 2020 Few-shot Instance Segmentation Few-Shot Learning
— Unverified DPGN: Distribution Propagation Graph Network for Few-shot Learning Mar 31, 2020 Few-Shot Learning Meta-Learning
Code Code Available Adversarial Feature Hallucination Networks for Few-Shot Learning Mar 30, 2020 Data Augmentation Diversity
Code Code Available Improving out-of-distribution generalization via multi-task self-supervised pretraining Mar 30, 2020 Adversarial Robustness Domain Generalization
— Unverified Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining Mar 29, 2020 Few-Shot Learning Language Modeling
Code Code Available Negative Margin Matters: Understanding Margin in Few-shot Classification Mar 26, 2020 Classification Few-Shot Image Classification
Code Code Available Instance Credibility Inference for Few-Shot Learning Mar 26, 2020 Data Augmentation Few-Shot Image Classification
Code Code Available Learning What to Learn for Video Object Segmentation Mar 25, 2020 Few-Shot Learning Object
Code Code Available Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? Mar 25, 2020 All Few-Shot Image Classification
Code Code Available Auto-Ensemble: An Adaptive Learning Rate Scheduling based Deep Learning Model Ensembling Mar 25, 2020 Diversity Few-Shot Learning
— Unverified Additive Angular Margin for Few Shot Learning to Classify Clinical Endoscopy Images Mar 23, 2020 Few-Shot Learning
— Unverified Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Mar 20, 2020 feature selection Few-Shot Image Classification
Code Code Available Few-Shot Learning with Geometric Constraints Mar 20, 2020 Few-Shot Learning
— Unverified XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning Mar 19, 2020 Few-Shot Learning Novel Concepts
Code Code Available Domain-Adaptive Few-Shot Learning Mar 19, 2020 Domain Adaptation Few-Shot Learning
Code Code Available Semi-supervised few-shot learning for medical image segmentation Mar 18, 2020 Few-Shot Learning Image Segmentation
— Unverified An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients Mar 18, 2020 Few-Shot Learning Food Recognition
— Unverified Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Mar 18, 2020 Classification Few-Shot Learning
— Unverified Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification Mar 18, 2020 Classification Clustering
— Unverified CAFENet: Class-Agnostic Few-Shot Edge Detection Network Mar 18, 2020 Decoder Edge Detection
— Unverified Context-Transformer: Tackling Object Confusion for Few-Shot Detection Mar 16, 2020 Diversity Few-Shot Learning
Code Code Available DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Mar 15, 2020 Classification Few-Shot Image Classification
Code Code Available StarNet: towards Weakly Supervised Few-Shot Object Detection Mar 15, 2020 Classification Few-Shot Learning
Code Code Available TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification Mar 14, 2020 Diversity Few-Shot Learning
Code Code Available Meta-Learning Initializations for Low-Resource Drug Discovery Mar 12, 2020 Drug Discovery Few-Shot Learning
Code Code Available Incremental Few-Shot Object Detection Mar 10, 2020 Few-Shot Learning Few-Shot Object Detection
— Unverified Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Mar 9, 2020 Few-Shot Learning General Classification
Code Code Available On the Texture Bias for Few-Shot CNN Segmentation Mar 9, 2020 Few-Shot Learning Few-Shot Semantic Segmentation
Code Code Available Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study Mar 6, 2020 Few-Shot Learning Model Selection
Code Code Available PAC-Bayes meta-learning with implicit task-specific posteriors Mar 5, 2020 Few-Shot Image Classification Few-Shot Learning
— Unverified Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error Mar 4, 2020 Few-Shot Learning Meta-Learning
— Unverified Weakly-supervised Object Localization for Few-shot Learning and Fine-grained Few-shot Learning Mar 2, 2020 Classification Few-Shot Learning
— Unverified Learning to Compare Relation: Semantic Alignment for Few-Shot Learning Feb 29, 2020 Few-Shot Learning Metric Learning
— Unverified AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Feb 28, 2020 Denoising Few-Shot Learning
— Unverified Is the Meta-Learning Idea Able to Improve the Generalization of Deep Neural Networks on the Standard Supervised Learning? Feb 27, 2020 Few-Shot Learning Meta-Learning
— Unverified Few-shot Natural Language Generation for Task-Oriented Dialog Feb 27, 2020 Data-to-Text Generation Few-Shot Learning
Code Code Available Meta-Learned Confidence for Few-shot Learning Feb 27, 2020 Few-Shot Image Classification Few-Shot Learning
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