AAAI2021.md

AAAI 2021

Year	Title	Author	Publication	Code	Tasks	Notes	Datasets	Notions
2021	Nearest Neighbor Classifier Embedded Network for Active Learning	Wan et al.	AAAI	-	image classification and object detection	Confidence,nearest neighbor classifier, None, Tra, Hard	CIFAR-10 and CIFAR-100
2021	Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment	Fu et al.	AAAI	-	Image Classification	agreement-discrepancy-selection, CNNs, Advesiral, Tra, Hard	CIFAR-10 and CIFAR-100
2021	Unsupervised Active Learning via Subspace Learning	Li et al.	AAAI	-	Classification	k most representative samples , Matrix Decomposition,Subspace Learning, Tra, Hard	HMDB51 (Kuehne et al. 2011) and UCF50, UTKFace (Zhang, Song, and Qi 2017), one med- ical image dataset HAM10000 (Tschandl, Rosendahl, and Kittler 2018), and one wine quality dataset
2021	Embodied Visual Active Learning for Semantic Segmentation	Nilsson et al.	AAAI	-	Semantic Segmentation	Existing, FCN-inspired deep network, None, Tra, Hard	Matterport3D
2021	An Information‐Theoretic Framework for Unifying Active Learning Problems	Nguyen et al.	AAAI	code	level set estimation (LSE), Bayesian optimization	Uncertainty, Gaussian NN, None, Tra, Hard	Synthetic, one real-world
2021	Dialog Policy Learning for Joint Clarification and Active Learning Queries	Padmakumar and Mooney	AAAI	-	natural language image retrieval, attribute-based clarification	Uncertainty, MLP, NOne, Tra, Hard	iMaterialist Fashion Attribute data, create a new dataset	jointly perform both clarification and active learning in the context of an in- teractive language-based image retrieval task
2021	MTAAL: Multi-Task Adversarial Active Learning for Medical Named Entity Recognition and Normalization	Zhou et al.	AAAI	code	Medical Named Entity Recognition	diversity, Adversarial+ Multi-task, Encoder-Decoder, Pre-FT, Hard	NCBI dataset, BC5CDR	How- ever, existing models do not take task-specific features for different tasks and diversity of query samples into account.