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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Mixture-Based Feature Space Learning for Few-Shot Image Classification ICCV 2021
Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning ICCV 2021
Airbert: In-Domain Pretraining for Vision-and-Language Navigation ICCV 2021
Learning Unsupervised Metaformer for Anomaly Detection ICCV 2021
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021
Sparse-Shot Learning With Exclusive Cross-Entropy for Extremely Many Localisations ICCV 2021
A Unified Objective for Novel Class Discovery ICCV 2021
Few-Shot Semantic Segmentation With Cyclic Memory Network ICCV 2021
Query Adaptive Few-Shot Object Detection With Heterogeneous Graph Convolutional Networks ICCV 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning NIPS 2021
One-Shot Affordance Detection IJCAI 2021
Incentive-Aware PAC Learning AAAI 2021
Few-shot Learning for Multi-label Intent Detection AAAI 2021
Multi-label Few-shot Learning with Semantic Inference (Student Abstract) AAAI 2021
Raven's Progressive Matrices Completion with Latent Gaussian Process Priors AAAI 2021
MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification IJCAI 2021
CURI: A Benchmark for Productive Concept Learning Under Uncertainty ICML 2021
StarNet: towards Weakly Supervised Few-Shot Object Detection AAAI 2021
Attributes-Guided and Pure-Visual Attention Alignment for Few-Shot Recognition AAAI 2021
Learning a Few-shot Embedding Model with Contrastive Learning AAAI 2021
Tailoring Embedding Function to Heterogeneous Few-Shot Tasks by Global and Local Feature Adaptors AAAI 2021
Task Cooperation for Semi-Supervised Few-Shot Learning AAAI 2021
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021
Few-Shot One-Class Classification via Meta-Learning AAAI 2021
Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph AAAI 2021