conftrace_
← Learning Types
Machine Learning › Learning Types ›

Active Learning

1,911 papers

Papers per year

4
20
39
156
120
'05
'10
'15
'20
'25

Papers

RIM: Reliable Influence-based Active Learning on Graphs NIPS 2021
Iterative Teacher-Aware Learning NIPS 2021
Corruption Robust Active Learning NIPS 2021
Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NIPS 2021
Learning Reward Functions from Scale Feedback CORL 2021
ThriftyDAgger: Budget-Aware Novelty and Risk Gating for Interactive Imitation Learning CORL 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021
Embodied Visual Active Learning for Semantic Segmentation AAAI 2021
Parallel Constraint Acquisition AAAI 2021
Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure AAAI 2021
A Hybrid Bandit Framework for Diversified Recommendation AAAI 2021
Disposable Linear Bandits for Online Recommendations AAAI 2021
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021
Preference Elicitation as Average-Case Sorting AAAI 2021
Teaching Active Human Learners AAAI 2021
AI-Assisted Scientific Data Collection with Iterative Human Feedback AAAI 2021
Agreement-Discrepancy-Selection: Active Learning with Progressive Distribution Alignment AAAI 2021
Active Bayesian Assessment of Black-Box Classifiers AAAI 2021
GLISTER: Generalization based Data Subset Selection for Efficient and Robust Learning AAAI 2021
Unsupervised Active Learning via Subspace Learning AAAI 2021
An Information-Theoretic Framework for Unifying Active Learning Problems AAAI 2021
Top-k Ranking Bayesian Optimization AAAI 2021
Improving Model Robustness by Adaptively Correcting Perturbation Levels with Active Queries AAAI 2021
Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021