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Active Learning

1885 directly classified papers

Papers per year

Papers

Matching a Desired Causal State via Shift Interventions NIPS 2021
Teaching an Active Learner with Contrastive Examples NIPS 2021
Fuzzy Clustering with Similarity Queries NIPS 2021
Deep Learning on a Data Diet: Finding Important Examples Early in Training NIPS 2021
Active clustering for labeling training data NIPS 2021
Practical, Provably-Correct Interactive Learning in the Realizable Setting: The Power of True Believers NIPS 2021
Online Selective Classification with Limited Feedback NIPS 2021
Interactive Label Cleaning with Example-based Explanations NIPS 2021
Learning with Labeling Induced Abstentions NIPS 2021
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing NIPS 2021
Batch Active Learning at Scale NIPS 2021
Efficient Active Learning for Gaussian Process Classification by Error Reduction NIPS 2021
Neural Active Learning with Performance Guarantees NIPS 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Hierarchical Semantic Segmentation using Psychometric Learning ACML 2021
Directing Human Attention in Event Localization for Clinical Timeline Creation MLHC 2021
Investigating label suggestions for opinion mining in German Covid-19 social media ACL 2021
Online Limited Memory Neural-Linear Bandits with Likelihood Matching ICML 2021
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021
Combinatorial Blocking Bandits with Stochastic Delays ICML 2021
Problem Dependent View on Structured Thresholding Bandit Problems ICML 2021
Learning Reward Functions from Scale Feedback CORL 2021
Multiple Instance Active Learning for Object Detection CVPR 2021
Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CORL 2021
Multi-accent Speech Separation with One Shot Learning ACL 2021