Co-occurring keywords · papers mentioning both
Papers
Heuristic-inspired Reasoning Priors Facilitate Data-Efficient Referring Object Detection
CVPR 2026
Portable Active Learning for Object Detection
CVPR 2026
Benchmarking Debiasing Methods for LLM-based Parameter Estimates
EMNLP 2025
Heavy Labels Out! Dataset Distillation with Label Space Lightening
ICCV 2025
Limits to scalable evaluation at the frontier: LLM as judge won’t beat twice the data
ICLR 2025
MythTriage: Scalable Detection of Opioid Use Disorder Myths on a Video-Sharing Platform
EMNLP 2025
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024
Class Balancing for Efficient Active Learning in Imbalanced Datasets
EACL 2024
Contextual Active Model Selection
NeurIPS 2024
Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice
NeurIPS 2023
Adaptive Selective Sampling for Online Prediction with Experts
NeurIPS 2023
Entity Disambiguation on a Tight Labeling Budget
EMNLP 2023
LanSER: Language-Model Supported Speech Emotion Recognition
Interspeech 2023
Layer Grafted Pre-training: Bridging Contrastive Learning And Masked Image Modeling For Label-Efficient Representations
ICLR 2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
ICCV 2023
MCAL: Minimum Cost Human-Machine Active Labeling
ICLR 2023
Reducing Annotation Effort by Identifying and Labeling Contextually Diverse Classes for Semantic Segmentation Under Domain Shift
WACV 2023
Re-Thinking Federated Active Learning Based on Inter-Class Diversity
CVPR 2023
The Trade-off between Universality and Label Efficiency of Representations from Contrastive Learning
ICLR 2023
Unsupervised Active Learning: Optimizing Labeling Cost-Effectiveness for Automatic Speech Recognition
Interspeech 2023
A label efficient two-sample test
UAI 2022
Metric-Fair Active Learning
ICML 2022
Not All Labels Are Equal: Rationalizing the Labeling Costs for Training Object Detection
CVPR 2022
A Comparative Survey: Benchmarking for Pool-based Active Learning
IJCAI 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty
AISTATS 2021