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Active Learning

1885 directly classified papers

Papers per year

Papers

The Power of Comparisons for Actively Learning Linear Classifiers NIPS 2020
Efficient active learning of sparse halfspaces with arbitrary bounded noise NIPS 2020
Finding the Homology of Decision Boundaries with Active Learning NIPS 2020
Exact Recovery of Mangled Clusters with Same-Cluster Queries NIPS 2020
Exemplar Guided Active Learning NIPS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Active Invariant Causal Prediction: Experiment Selection through Stability NIPS 2020
Stopping criterion for active learning based on deterministic generalization bounds AISTATS 2020
High-contrast “gaudy” images improve the training of deep neural network models of visual cortex NIPS 2020
Optimal Best-arm Identification in Linear Bandits NIPS 2020
Thompson Sampling for Linearly Constrained Bandits AISTATS 2020
From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains ACL 2020
Frugal Paradigm Completion ACL 2020
Active Learning for Coreference Resolution using Discrete Annotation ACL 2020
Heart Failure Education of African American and Hispanic/Latino Patients: Data Collection and Analysis ACL 2020
Interactive Task Learning from GUI-Grounded Natural Language Instructions and Demonstrations ACL 2020
Efficient Pairwise Annotation of Argument Quality ACL 2020
Cold-start Active Learning through Self-supervised Language Modeling EMNLP 2020
Active Learning for BERT: An Empirical Study EMNLP 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports EMNLP 2020
CoRefi: A Crowd Sourcing Suite for Coreference Annotation EMNLP 2020
Graph Policy Network for Transferable Active Learning on Graphs NIPS 2020
Information-theoretic Task Selection for Meta-Reinforcement Learning NIPS 2020
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NIPS 2020