helpResearch questionContextual Example Selection and Rare Pattern Coverage
How can dynamic pseudo-label augmentation improve model generalization in cross-domain environments?Data Annotation, Model Debugging, and Data Work / Contextual Example Selection and Rare Pattern Coverage
How can dynamic pseudo-label augmentation improve model generalization in cross-domain environments?
Similar questions
helpResearch questionContextual Example Selection and Rare Pattern Coverage
What regular patterns exist in design features of children's AI learning tools?helpResearch questionContextual Example Selection and Rare Pattern Coverage
How do these design features correspond to the 'four pillars of learning' (active, engaged, meaningful, and social interactive learning)?helpResearch questionContextual Example Selection and Rare Pattern Coverage
Do existing AI learning tools meet needs of children at different ages, especially younger children?helpResearch questionContextual Example Selection and Rare Pattern Coverage
How can video learning systems support students' transition from passive viewing to active learning?helpResearch questionContextual Example Selection and Rare Pattern Coverage
How can context-aware AI assistants improve the real-time interactivity and accuracy of online learning?helpResearch questionContextual Example Selection and Rare Pattern Coverage
Can integrating video, slides, and images effectively improve students' knowledge acquisition efficiency?Related papers
CHI 2025
Technologies for Children’s AI Learning: Design Features and Future Opportunities
Kaiyue Jia, Junnan Yu
CHI 2025
From Passive Watching to Active Learning: Empowering Proactive Participation in Digital Classrooms with AI Video Assistant
Anna Bodonhelyi, Enkeleda Thaqi, Süleyman Özdel
CHI 2025
Confirmation Bias: The Double-Edged Sword of Data Facts in Visual Data Communication
Shiyao Li, Thomas James Davidson, Cindy Xiong Bearfield
IUI 2024
Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer
Xiaoyu Zhang, Jorge H Piazentin Ono, Wenbin He
UbiComp 2024
MetaFormer: Domain-Adaptive WiFi Sensing with Only One Labelled Target Sample
Biyun Sheng, Rui Han, Fu Xiao
CHI 2024
Interrupting for Microlearning: Understanding Perceptions and Interruptibility of Proactive Conversational Microlearning Services
Minyeong Kim, Jiwook Lee, Youngji Koh
UbiComp 2023
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments
Shinan Liu, Tarun Mangla, Ted Shaowang
IUI 2022
A Dialogue-Based Interface for Active Learning of Activities of Daily Living
Ronnie Smith, Mauro Dragone