Sangdon Park
15 papers · 2020–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Triple Crown
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Dynamic Duo
(10)
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Keyword Champion
(2)
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Century Club Β· Bronze
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(69)
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Research topics
Machine Learning
(15)
Artificial Intelligence
(10)
Optimization & Theory
(10)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Application Areas
(6)
Core Methods
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Models
(2)
Computer Vision
(1)
Analysis
(1)
Applications
(1)
Keywords
uncertainty quantification
(6)
conformal prediction
(3)
large language model
(3)
retrieval-augmented generation
(3)
prediction set
(3)
domain adaptation
(2)
pac learning
(2)
calibrated prediction
(2)
distribution shift
(2)
covariate shift
(2)
importance weighting
(2)
deep neural network
(2)
model evaluation
(1)
question answering
(1)
online learning
(1)
batch normalization
(1)
object detection
(1)
false discovery rate
(1)
adversarial robustness
(1)
unsupervised domain adaptation
(1)
Papers
ChronoBias: A Benchmark for Evaluating Time-conditional Group Bias in the Time-sensitive Knowledge of Large Language Models
EMNLP 2025
Holistic Unlearning Benchmark: A Multi-Faceted Evaluation for Text-to-Image Diffusion Model Unlearning
ICCV 2025
Retrieval-Augmented Generation with Estimation of Source Reliability
EMNLP 2025
MedBN: Robust Test-Time Adaptation against Malicious Test Samples
CVPR 2024
PAC Prediction Sets Under Label Shift
ICLR 2024
Selective Generation for Controllable Language Models
NeurIPS 2024
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction
NAACL 2024
Angelic Patches for Improving Third-Party Object Detector Performance
CVPR 2023
iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection
AAAI 2022
PAC Prediction Sets for Meta-Learning
NeurIPS 2022
PAC Prediction Sets Under Covariate Shift
ICLR 2022
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
ICML 2022
PAC Confidence Predictions for Deep Neural Network Classifiers
ICLR 2021
Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation
AISTATS 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction
ICLR 2020