Active Learning

Box-Level Active Detection CVPR 2023 Can Active Sampling Reduce Causal Confusion in Offline Reinforcement Learning? CLeaR 2023 CEMA – Cost-Efficient Machine-Assisted Document Annotations AAAI 2023 ChatBack: Investigating Methods of Providing Grammatical Error Feedback in a GUI-based Language Learning Chatbot ACL 2023 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ICML 2023 CoAnnotating: Uncertainty-Guided Work Allocation between Human and Large Language Models for Data Annotation EMNLP 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023 Combining Active Learning and Task Adaptation with BERT for Cost-Effective Annotation of Social Media Datasets ACL 2023 Context-Aware Analysis of Group Submissions for Group Anomaly Detection and Performance Prediction AAAI 2023 Contextual Bandits and Imitation Learning with Preference-Based Active Queries NeurIPS 2023 Continually Improving Extractive QA via Human Feedback EMNLP 2023 Cooperative Inverse Decision Theory for Uncertain Preferences AISTATS 2023 Counterfactual Active Learning for Out-of-Distribution Generalization ACL 2023 CS4ML: A general framework for active learning with arbitrary data based on Christoffel functions NeurIPS 2023 Curating Datasets for Better Performance with Example Training Dynamics ACL 2023 Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments ICML 2023 Data-efficient Active Learning for Structured Prediction with Partial Annotation and Self-Training EMNLP 2023 Dataset Pruning: Reducing Training Data by Examining Generalization Influence ICLR 2023 D-CALM: A Dynamic Clustering-based Active Learning Approach for Mitigating Bias ACL 2023 Deep Active Learning for Morphophonological Processing ACL 2023 Deep Anomaly Detection under Labeling Budget Constraints ICML 2023 Diagnosis, Feedback, Adaptation: A Human-in-the-Loop Framework for Test-Time Policy Adaptation ICML 2023 Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation NeurIPS 2023 Dirichlet-based Uncertainty Calibration for Active Domain Adaptation ICLR 2023