← Learning Types
Machine Learning › Learning Types ›

Active Learning

1885 directly classified papers

Papers per year

Papers

Online Binary Space Partitioning Forests AISTATS 2020
Optimal sampling in unbiased active learning AISTATS 2020
Diameter-based Interactive Structure Discovery AISTATS 2020
Active Community Detection with Maximal Expected Model Change AISTATS 2020
Deep Active Learning: Unified and Principled Method for Query and Training AISTATS 2020
Contextual Combinatorial Volatile Multi-armed Bandit with Adaptive Discretization AISTATS 2020
Competing Bandits in Matching Markets AISTATS 2020
Randomized Exploration in Generalized Linear Bandits AISTATS 2020
Teaching with Limited Information on the Learner’s Behaviour ICML 2020
Interactive Refinement of Cross-Lingual Word Embeddings EMNLP 2020
Learning Structured Representations of Entity Names using Active Learning and Weak Supervision EMNLP 2020
HUMAN: Hierarchical Universal Modular ANnotator EMNLP 2020
Dynamic Data Selection for Curriculum Learning via Ability Estimation EMNLP 2020
On the Importance of Adaptive Data Collection for Extremely Imbalanced Pairwise Tasks EMNLP 2020
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space EMNLP 2020
CORA: A Deep Active Learning Covid-19 Relevancy Algorithm to Identify Core Scientific Articles EMNLP 2020
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature EMNLP 2020
ALICE: Active Learning with Contrastive Natural Language Explanations EMNLP 2020
An Imitation Game for Learning Semantic Parsers from User Interaction EMNLP 2020
The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons ICML 2020
Learning the Valuations of a $k$-demand Agent ICML 2020
State-Relabeling Adversarial Active Learning CVPR 2020
GPIRT: A Gaussian Process Model for Item Response Theory UAI 2020
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits UAI 2020
Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas AAAI 2020