Active Learning

Batch Active Learning at Scale NeurIPS 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021 Beyond Marginal Uncertainty: How Accurately can Bayesian Regression Models Estimate Posterior Predictive Correlations? AISTATS 2021 Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ICML 2021 Bounded Memory Active Learning through Enriched Queries COLT 2021 Bridge-Based Active Domain Adaptation for Aspect Term Extraction ACL 2021 Budgeted Heterogeneous Treatment Effect Estimation ICML 2021 Cartography Active Learning EMNLP 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 CLAIM: curriculum learning policy for influence maximization in unknown social networks UAI 2021 Collaborative Causal Discovery with Atomic Interventions NeurIPS 2021 Combinatorial Blocking Bandits with Stochastic Delays ICML 2021 Combinatorial Gaussian Process Bandits with Probabilistically Triggered Arms AISTATS 2021 Combinatorial Pure Exploration with Bottleneck Reward Function NeurIPS 2021 Conditioning Sparse Variational Gaussian Processes for Online Decision-making NeurIPS 2021 Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021 Contrastive Coding for Active Learning Under Class Distribution Mismatch ICCV 2021 Convexified Graph Neural Networks for Distributed Control in Robotic Swarms IJCAI 2021 Corruption Robust Active Learning NeurIPS 2021 Crowdsourcing Natural Language Data at Scale: A Hands-On Tutorial NAACL 2021 Curriculum Learning by Optimizing Learning Dynamics AISTATS 2021 Decentralized multi-agent active search for sparse signals UAI 2021 Deep Active Learning for Joint Classification & Segmentation With Weak Annotator WACV 2021 Deep Learning on a Data Diet: Finding Important Examples Early in Training NeurIPS 2021 DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization IJCAI 2021