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Active Learning

1885 directly classified papers

Papers per year

Papers

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NIPS 2021
Adaptive Sampling for Minimax Fair Classification NIPS 2021
Gone Fishing: Neural Active Learning with Fisher Embeddings NIPS 2021
Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox ACML 2021
Active Deep Probabilistic Subsampling ICML 2021
The Active Sensing Testbed AAAI 2021
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning JMLR 2021
Selecting Informative Contexts Improves Language Model Fine-tuning ACL 2021
Cartography Active Learning EMNLP 2021
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation ICCV 2021
Multi-Anchor Active Domain Adaptation for Semantic Segmentation ICCV 2021
Confidence-Budget Matching for Sequential Budgeted Learning ICML 2021
Active Feature Acquisition with Generative Surrogate Models ICML 2021
Active Learning for Deep Object Detection via Probabilistic Modeling ICCV 2021
Fast active learning for pure exploration in reinforcement learning ICML 2021
Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs CVPR 2021
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition ICCV 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Corruption Robust Active Learning NIPS 2021
RIM: Reliable Influence-based Active Learning on Graphs NIPS 2021
Teaching via Best-Case Counterexamples in the Learning-with-Equivalence-Queries Paradigm NIPS 2021
On Margin-Based Cluster Recovery with Oracle Queries NIPS 2021
Active Learning of Convex Halfspaces on Graphs NIPS 2021
Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations NIPS 2021
Online Active Learning with Surrogate Loss Functions NIPS 2021