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Papers
LABERT: A Combination of Local Aggregation and Self-Supervised Speech Representation Learning for Detecting Informative Hidden Units in Low-Resource ASR Systems
Interspeech 2023
Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach
MLHC 2023
Learning Incoherent Light Emission Steering From Metasurfaces Using Generative Models
WACV 2023
Learning When to Advise Human Decision Makers
IJCAI 2023
Leveraging Importance Weights in Subset Selection
ICLR 2023
LLMaAA: Making Large Language Models as Active Annotators
EMNLP 2023
Local Context-Aware Active Domain Adaptation
ICCV 2023
Maestro: A Gamified Platform for Teaching AI Robustness
AAAI 2023
Making Your First Choice: To Address Cold Start Problem in Medical Active Learning
MIDL 2023
Margin-based sampling in high dimensions: When being active is less efficient than staying passive
ICML 2023
MCAL: Minimum Cost Human-Machine Active Labeling
ICLR 2023
MEAL: Stable and Active Learning for Few-Shot Prompting
EMNLP 2023
Memory-Based Dual Gaussian Processes for Sequential Learning
ICML 2023
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
CVPR 2023
Models Teaching Models: Improving Model Accuracy with Slingshot Learning
EACL 2023
Multi-Classifier Adversarial Optimization for Active Learning
AAAI 2023
Multi-Objective GFlowNets
ICML 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
NeurIPS 2023
Multi-View Active Fine-Grained Visual Recognition
ICCV 2023
Navigating the Pitfalls of Active Learning Evaluation: A Systematic Framework for Meaningful Performance Assessment
NeurIPS 2023
Neural Machine Translation through Active Learning on low-resource languages: The case of Spanish to Mapudungun
ACL 2023
NewsPanda: Media Monitoring for Timely Conservation Action
AAAI 2023
No Change, No Gain: Empowering Graph Neural Networks with Expected Model Change Maximization for Active Learning
NeurIPS 2023
Nonparametric Indirect Active Learning
AISTATS 2023
Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL
EMNLP 2023