A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification May 10, 2020 Few-Shot Learning General Classification
— Unverified Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study May 10, 2020 Dimensionality Reduction Domain Generalization
Code Code Available Memory-Augmented Relation Network for Few-Shot Learning May 9, 2020 Few-Shot Learning Metric Learning
— Unverified Incremental Few-Shot Object Detection for Robotics May 6, 2020 Classification Continual 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 Generalized Reinforcement Meta Learning for Few-Shot Optimization May 4, 2020 Decoder Few-Shot Learning
— Unverified Self-Training with Improved Regularization for Sample-Efficient Chest X-Ray Classification May 3, 2020 Data Augmentation Diagnostic
— Unverified Zero-Shot Learning and its Applications from Autonomous Vehicles to COVID-19 Diagnosis: A Review Apr 29, 2020 Autonomous Vehicles COVID-19 Diagnosis
— Unverified MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data Apr 26, 2020 Classification Few-Shot Learning
— Unverified Learning to Classify Intents and Slot Labels Given a Handful of Examples Apr 22, 2020 Few-Shot Learning Goal-Oriented Dialogue Systems
— Unverified Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Apr 21, 2020 Few-Shot Learning General Classification
— Unverified TAEN: Temporal Aware Embedding Network for Few-Shot Action Recognition Apr 21, 2020 3D Face Reconstruction Action Detection
— Unverified A Comprehensive Overview and Survey of Recent Advances in Meta-Learning Apr 17, 2020 BIG-bench Machine Learning Deep Learning
— Unverified Meta-Meta Classification for One-Shot Learning Apr 17, 2020 Classification Few-Shot Learning
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 MA 3 : Model Agnostic Adversarial Augmentation for Few Shot learning Apr 10, 2020 Few-Shot Learning
Code Code Available Optimization of Image Embeddings for Few Shot Learning Apr 4, 2020 Few-Shot Learning Graph Neural Network
— Unverified Knowledge Guided Metric Learning for Few-Shot Text Classification Apr 4, 2020 Classification Few-Shot Learning
— Unverified Learning to Select Base Classes for Few-shot Classification Apr 1, 2020 Classification Few-Shot Learning
— Unverified Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Apr 1, 2020 Data Augmentation Few-Shot Learning
— Unverified FGN: Fully Guided Network for Few-Shot Instance Segmentation Mar 31, 2020 Few-shot Instance Segmentation Few-Shot Learning
— Unverified 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 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 Few-Shot Learning with Geometric Constraints Mar 20, 2020 Few-Shot Learning
— Unverified An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients Mar 18, 2020 Few-Shot Learning Food Recognition
— 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 Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification Mar 18, 2020 Classification Few-Shot Learning
— Unverified Semi-supervised few-shot learning for medical image segmentation Mar 18, 2020 Few-Shot Learning Image Segmentation
— Unverified StarNet: towards Weakly Supervised Few-Shot Object Detection Mar 15, 2020 Classification Few-Shot Learning
Code Code Available Incremental Few-Shot Object Detection Mar 10, 2020 Few-Shot Learning Few-Shot Object Detection
— Unverified 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 Evolving Losses for Unsupervised Video Representation Learning Feb 26, 2020 Action Recognition Few-Shot Learning
— Unverified An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic Environments Feb 26, 2020 Face Recognition Few-Shot Learning
Code Code Available The Sample Complexity of Meta Sparse Regression Feb 22, 2020 Few-Shot Learning Meta-Learning
— Unverified Modelling Latent Skills for Multitask Language Generation Feb 21, 2020 Few-Shot Learning Text Generation
— Unverified Few-shot acoustic event detection via meta-learning Feb 21, 2020 Event Detection Few-Shot Learning
— Unverified Few-Shot Learning via Learning the Representation, Provably Feb 21, 2020 Few-Shot Learning Representation Learning
— Unverified Structured Prediction for Conditional Meta-Learning Feb 20, 2020 Few-Shot Learning Meta-Learning
Code Code Available Few-Shot Few-Shot Learning and the role of Spatial Attention Feb 18, 2020 Few-Shot Learning Meta-Learning
— Unverified Exploiting the Matching Information in the Support Set for Few Shot Event Classification Feb 13, 2020 Classification Few-Shot Learning
— Unverified Meta-Learning across Meta-Tasks for Few-Shot Learning Feb 11, 2020 Domain Adaptation Few-Shot Learning
— Unverified Task Augmentation by Rotating for Meta-Learning Feb 8, 2020 Data Augmentation Few-Shot Learning
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