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Active Learning

1885 directly classified papers

Papers per year

Papers

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data Regimes NIPS 2022
Designing a Human-in-the-Loop System for Object Detection in Floor Plans AAAI 2022
GALAXY: Graph-based Active Learning at the Extreme ICML 2022
Diversified Sampling for Batched Bayesian Optimization with Determinantal Point Processes AISTATS 2022
Active Learning Helps Pretrained Models Learn the Intended Task NIPS 2022
A Lagrangian Duality Approach to Active Learning NIPS 2022
Efficient PAC Learning from the Crowd with Pairwise Comparisons ICML 2022
Learning from a Learning User for Optimal Recommendations ICML 2022
Clustering with Queries under Semi-Random Noise COLT 2022
Linear Bandit Algorithms with Sublinear Time Complexity ICML 2022
Optimal Clustering with Noisy Queries via Multi-Armed Bandit ICML 2022
Cross-Space Active Learning on Graph Convolutional Networks ICML 2022
N-Penetrate: Active Learning of Neural Collision Handler for Complex 3D Mesh Deformations ICML 2022
Metric-Fair Active Learning ICML 2022
Efficiently Learning the Topology and Behavior of a Networked Dynamical System Via Active Queries ICML 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation AAAI 2022
Convergence of Uncertainty Sampling for Active Learning ICML 2022
Constants Matter: The Performance Gains of Active Learning ICML 2022
On the Finite-Time Performance of the Knowledge Gradient Algorithm ICML 2022
A Simple Unified Framework for High Dimensional Bandit Problems ICML 2022
ActiveHedge: Hedge meets Active Learning ICML 2022
SoQal: Selective Oracle Questioning for Consistency Based Active Learning of Cardiac Signals ICML 2022
Biological Sequence Design with GFlowNets ICML 2022
Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets ICML 2022
LOG: Active Model Adaptation for Label-Efficient OOD Generalization NIPS 2022