Co-occurring keywords · papers mentioning both
Papers
Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides of the Same Coin?
WACV 2022
Best Arm Identification with Safety Constraints
AISTATS 2022
Bigger Data or Fairer Data? Augmenting BERT via Active Sampling for Educational Text Classification
COLING 2022
Biological Sequence Design with GFlowNets
ICML 2022
Boosting Active Learning via Improving Test Performance
AAAI 2022
BoostMIS: Boosting Medical Image Semi-Supervised Learning With Adaptive Pseudo Labeling and Informative Active Annotation
CVPR 2022
Chernoff Sampling for Active Testing and Extension to Active Regression
AISTATS 2022
CHIA: CHoosing Instances to Annotate for Machine Translation
EMNLP 2022
Class-Balanced Active Learning for Image Classification
WACV 2022
Clean or Annotate: How to Spend a Limited Data Collection Budget
NAACL 2022
Clustering with Queries under Semi-Random Noise
COLT 2022
Coherence-based Label Propagation over Time Series for Accelerated Active Learning
ICLR 2022
COMET-QE and Active Learning for Low-Resource Machine Translation
EMNLP 2022
Constants Matter: The Performance Gains of Active Learning
ICML 2022
Convergence of Uncertainty Sampling for Active Learning
ICML 2022
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation
AAAI 2022
Cross-Space Active Learning on Graph Convolutional Networks
ICML 2022
Deep Active Learning by Leveraging Training Dynamics
NeurIPS 2022
Deep Multi-Fidelity Active Learning of High-Dimensional Outputs
AISTATS 2022
Designing a Human-in-the-Loop System for Object Detection in Floor Plans
AAAI 2022
Detecting Minority Arguments for Mutual Understanding: A Moderation Tool for the Online Climate Change Debate
COLING 2022
Differential Assessment of Black-Box AI Agents
AAAI 2022
Discrepancy-Based Active Learning for Domain Adaptation
ICLR 2022
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer
NAACL 2022
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model Bias
WACV 2022