Whang, Steven Euijong
- A Survey on Data Collection for Machine Learning: a Big Data -- AI Integration Perspective
2018/11/08 by Roh, Yuji, Heo, Geon, Whang, Steven Euijong · 10 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Data Collection and Quality Challenges in Deep Learning: A Data-Centric AI Perspective
2021/12/13 by Steven Euijong Whang, Yuji Roh, Whang, Steven Euijong +5 · 12 citations
Decision Sciences · Computer Science · #Data Quality and Management #Privacy-Preserving Technologies in Data #Adversarial Robustness in Machine Learning
- Automated Data Slicing for Model Validation:A Big data - AI Integration\n Approach
2018/07/16 by Yeounoh Chung, Chung, Yeounoh, Tim Kraska +7 · 4 citations
Computer Science · Decision Sciences · #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Data Quality and Management
- FairBatch: Batch Selection for Model Fairness
2020/12/03 by Roh, Yuji, Lee, Kangwook, Whang, Steven Euijong +1 · 4 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
2020/02/24 by Yuji Roh, Roh, Yuji, Kangwook Lee +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems #Reinforcement Learning in Robotics
- ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
2024/03/08 by Jio Oh, Oh, Jio, Soyeon Kim +11 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Falcon: Fair Active Learning using Multi-armed Bandits
2024/01/23 by Tae, Ki Hyun, Zhang, Hantian, Park, Jaeyoung +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks
2024/05/28 by Seong-Hyeon Hwang, Hwang, Seong-Hyeon, Minsu Kim +3 · 2 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
- Sample Selection for Fair and Robust Training
2021/10/27 by Roh, Yuji, Lee, Kangwook, Whang, Steven Euijong +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- iFlipper: Label Flipping for Individual Fairness
2022/09/15 by Hantian Zhang, Zhang, Hantian, Ki Hyun Tae +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Computers and Society (cs.CY) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Improving Fair Training under Correlation Shifts
2023/02/05 by Yuji Roh, Roh, Yuji, Kangwook Lee +5 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data
- PFGuard: A Generative Framework with Privacy and Fairness Safeguards
2024/10/03 by Kim, Soyeon, Roh, Yuji, Heo, Geon +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Quilt: Robust Data Segment Selection against Concept Drifts
2023/12/15 by Kim, Minsu, Hwang, Seong-Hyeon, Whang, Steven Euijong · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views
2024/02/07 by Roh, Yuji, Liu, Qingyun, Gui, Huan +8 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
2025/03/28 by Seong-Hyeon Hwang, Minsu Kim, Hwang, Seong-Hyeon +3 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques