Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Adaptive Submodular Optimization under Matroid Constraints
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints
Learning Algorithms for Active Learning
Incremental Stochastic Subgradient Algorithms for Convex Optimization
Noisy Submodular Maximization via Adaptive Sampling with Applications to Crowdsourced Image Collection Summarization
Near Optimal Bayesian Active Learning for Decision Making
Toward Optimal Active Learning through Sampling Estimation of Error Reduction
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Submodular Optimization under Noise
Deep Submodular Functions
Robust submodular observation selection
Active learning by learning
Discovering General-Purpose Active Learning Strategies
Does active learning work? A review of the research
Proactive learning: cost-sensitive active learning with multiple imperfect oracles
Submodular Function Maximization.
Adam: A Method for Stochastic Optimization
Analysis of Perceptron-Based Active Learning
Learning Active Learning from Data
Aging and motivated cognition : the positivity effect in attention and memory
Robust repair of polygonal models
A Survey on Survey of Migration of Legacy Systems
Focally folded myelin in Charcot-Marie-Tooth neuropathy type 1B with Ser49Leu in the myelin protein zero
an analysis of approximations for maximizing submodular set functions - i .