conftrace_

uncertainty sampling

69 papers

Explore in graph

Co-occurring keywords

active learning (1301) text classification (6793) annotation cost (37) diversity sampling (20) neural machine translation (2310) domain adaptation (4595) batch active learning (14) acquisition function (129) uncertainty estimation (648) batch sampling (14)

Papers

Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract) AAAI 2026
Exploring Entropy-based Active Learning for Fair Brain Segmentation MIDL 2026
CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior ACL 2026
Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation WACV 2025
Enhancing LLM-as-a-Judge through Active-Sampling-based Prompt Optimization ACL 2025
A Semantic Uncertainty Sampling Strategy for Back-Translation in Low-Resources Neural Machine Translation ACL 2025
To Label or Not to Label: Hybrid Active Learning for Neural Machine Translation COLING 2025
Learnability Matters: Active Learning for Video Captioning NIPS 2024
Enhancing Text Classification through LLM-Driven Active Learning and Human Annotation EACL 2024
Plug and Play Active Learning for Object Detection CVPR 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024
Beyond Active Learning: Leveraging the Full Potential of Human Interaction via Auto-Labeling, Human Correction, and Human Verification WACV 2024
Class Balancing for Efficient Active Learning in Imbalanced Datasets EACL 2024
Streaming Active Learning with Deep Neural Networks ICML 2023
Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge EACL 2023
Investigating Multi-source Active Learning for Natural Language Inference EACL 2023
Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023
Beam Search Optimized Batch Bayesian Active Learning AAAI 2023
Understanding Compositional Data Augmentation in Typologically Diverse Morphological Inflection EMNLP 2023
Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models EMNLP 2023
Active Cost-aware Labeling of Streaming Data AISTATS 2023
Hybrid Active Learning via Deep Clustering for Video Action Detection CVPR 2023
GALAXY: Graph-based Active Learning at the Extreme ICML 2022
Adapting Coreference Resolution Models through Active Learning ACL 2022
Active Learning on Pre-trained Language Model with Task-Independent Triplet Loss AAAI 2022