A Human-Centered Approach for Improving Supervised Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Bansal, Shubhi, Tendulkar, Atharva, Kumar, Nagendra |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024)
by: Shi, Tianhao, et al.
Published: (2024)
A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
by: Baidya, Nikita, et al.
Published: (2026)
by: Baidya, Nikita, et al.
Published: (2026)
Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction
by: Bansal, Shubhi, et al.
Published: (2024)
by: Bansal, Shubhi, et al.
Published: (2024)
A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond
by: Bansal, Shubhi, et al.
Published: (2025)
by: Bansal, Shubhi, et al.
Published: (2025)
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
by: Lin, Yuanguo, et al.
Published: (2023)
by: Lin, Yuanguo, et al.
Published: (2023)
What's happening in your neighborhood? A Weakly Supervised Approach to Detect Local News
by: Shah, Deven Santosh, et al.
Published: (2023)
by: Shah, Deven Santosh, et al.
Published: (2023)
Multi-view Attention Fusion of Heterogeneous Hypergraph with Dynamic Behavioral Profiling for Personalized Learning Resource Recommendation
by: Xie, Tao, et al.
Published: (2026)
by: Xie, Tao, et al.
Published: (2026)
A Tutorial On Intersectionality in Fair Rankings
by: Criscuolo, Chiara, et al.
Published: (2025)
by: Criscuolo, Chiara, et al.
Published: (2025)
Text mining in education
by: Ferreira-Mello, R., et al.
Published: (2024)
by: Ferreira-Mello, R., et al.
Published: (2024)
Harm Mitigation in Recommender Systems under User Preference Dynamics
by: Chee, Jerry, et al.
Published: (2024)
by: Chee, Jerry, et al.
Published: (2024)
Intersectional Two-sided Fairness in Recommendation
by: Wang, Yifan, et al.
Published: (2024)
by: Wang, Yifan, et al.
Published: (2024)
Social Choice for Heterogeneous Fairness in Recommendation
by: Aird, Amanda, et al.
Published: (2024)
by: Aird, Amanda, et al.
Published: (2024)
The trade-off between data minimization and fairness in collaborative filtering
by: Sonboli, Nasim, et al.
Published: (2024)
by: Sonboli, Nasim, et al.
Published: (2024)
Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)
by: Yoo, Hyunsik, et al.
Published: (2023)
Real-time Air Pollution prediction model based on Spatiotemporal Big data
by: Le, Van-Duc, et al.
Published: (2018)
by: Le, Van-Duc, et al.
Published: (2018)
Fairness in Ranking under Disparate Uncertainty
by: Rastogi, Richa, et al.
Published: (2023)
by: Rastogi, Richa, et al.
Published: (2023)
Synthetic CVs To Build and Test Fairness-Aware Hiring Tools
by: Saldivar, Jorge, et al.
Published: (2025)
by: Saldivar, Jorge, et al.
Published: (2025)
Properties of Group Fairness Metrics for Rankings
by: Schumacher, Tobias, et al.
Published: (2022)
by: Schumacher, Tobias, et al.
Published: (2022)
Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis
by: Gharahighehi, Alireza, et al.
Published: (2025)
by: Gharahighehi, Alireza, et al.
Published: (2025)
RouterKT: Mixture-of-Experts for Knowledge Tracing
by: Liao, Han, et al.
Published: (2025)
by: Liao, Han, et al.
Published: (2025)
When Fair Ranking Meets Uncertain Inference
by: Ghosh, Avijit, et al.
Published: (2021)
by: Ghosh, Avijit, et al.
Published: (2021)
Inference-time Stochastic Ranking with Risk Control
by: Guo, Ruocheng, et al.
Published: (2023)
by: Guo, Ruocheng, et al.
Published: (2023)
A Hybrid Filtering for Micro-video Hashtag Recommendation using Graph-based Deep Neural Network
by: Bansal, Shubhi, et al.
Published: (2024)
by: Bansal, Shubhi, et al.
Published: (2024)
Survey of Computerized Adaptive Testing: A Machine Learning Perspective
by: Zhuang, Yan, et al.
Published: (2024)
by: Zhuang, Yan, et al.
Published: (2024)
Enhancing Learning Path Recommendation via Multi-task Learning
by: Nasrin, Afsana, et al.
Published: (2025)
by: Nasrin, Afsana, et al.
Published: (2025)
SyllabusQA: A Course Logistics Question Answering Dataset
by: Fernandez, Nigel, et al.
Published: (2024)
by: Fernandez, Nigel, et al.
Published: (2024)
Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
by: Råmunddal, Justus
Published: (2025)
by: Råmunddal, Justus
Published: (2025)
Navigating the Peril of Generated Alternative Facts: A ChatGPT-4 Fabricated Omega Variant Case as a Cautionary Tale in Medical Misinformation
by: Sallam, Malik, et al.
Published: (2024)
by: Sallam, Malik, et al.
Published: (2024)
Probing Ranking LLMs: A Mechanistic Analysis for Information Retrieval
by: Chowdhury, Tanya, et al.
Published: (2024)
by: Chowdhury, Tanya, et al.
Published: (2024)
Lightweight Query Routing for Adaptive RAG: A Baseline Study on RAGRouter-Bench
by: Bansal, Prakhar, et al.
Published: (2026)
by: Bansal, Prakhar, et al.
Published: (2026)
Scalable Identification and Prioritization of Requisition-Specific Personal Competencies Using Large Language Models
by: Li, Wanxin, et al.
Published: (2026)
by: Li, Wanxin, et al.
Published: (2026)
DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
by: Ramezani, Maryam, et al.
Published: (2023)
by: Ramezani, Maryam, et al.
Published: (2023)
CausalCite: A Causal Formulation of Paper Citations
by: Kumar, Ishan, et al.
Published: (2023)
by: Kumar, Ishan, et al.
Published: (2023)
Evaluation of LLMs for Process Model Analysis and Optimization
by: Kumar, Akhil, et al.
Published: (2025)
by: Kumar, Akhil, et al.
Published: (2025)
Large Language Models Meet Stance Detection: A Survey of Tasks, Methods, Applications, Challenges and Future Directions
by: Pangtey, Lata, et al.
Published: (2025)
by: Pangtey, Lata, et al.
Published: (2025)
Consumer-side Fairness in Recommender Systems: A Systematic Survey of Methods and Evaluation
by: Vassøy, Bjørnar, et al.
Published: (2023)
by: Vassøy, Bjørnar, et al.
Published: (2023)
OGD4All: A Framework for Accessible Interaction with Geospatial Open Government Data Based on Large Language Models
by: Siebenmann, Michael, et al.
Published: (2025)
by: Siebenmann, Michael, et al.
Published: (2025)
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs
by: Nijasure, Atharva, et al.
Published: (2025)
by: Nijasure, Atharva, et al.
Published: (2025)
New Curriculum, New Chance -- Retrieval Augmented Generation for Lesson Planning in Ugandan Secondary Schools. Prototype Quality Evaluation
by: Kloker, Simon, et al.
Published: (2024)
by: Kloker, Simon, et al.
Published: (2024)
Recommender Systems for Good (RS4Good): Survey of Use Cases and a Call to Action for Research that Matters
by: Jannach, Dietmar, et al.
Published: (2024)
by: Jannach, Dietmar, et al.
Published: (2024)
Similar Items
-
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach
by: Shi, Tianhao, et al.
Published: (2024) -
A Counterfactual Approach for Addressing Individual User Unfairness in Collaborative Recommender System
by: Baidya, Nikita, et al.
Published: (2026) -
Sentiment and Hashtag-aware Attentive Deep Neural Network for Multimodal Post Popularity Prediction
by: Bansal, Shubhi, et al.
Published: (2024) -
A Comprehensive Review on Hashtag Recommendation: From Traditional to Deep Learning and Beyond
by: Bansal, Shubhi, et al.
Published: (2025) -
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining
by: Lin, Yuanguo, et al.
Published: (2023)