Sangdon Park - RankMe

33 papers A* 10A 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	PAC Prediction Sets Under Label Shift. ICLR Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
2024	A*	`conf`	Selective Generation for Controllable Language Models. NeurIPS Minjae Lee, Kyungmin Kim, Taesoo Kim, Sangdon Park
2024	—	`conf`	TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction. NAACL-HLT Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
2024	J	`jnl`	Uncertainty Quantification for Neurosymbolic Programs via Compositional Conformal Prediction. CoRR Ramya Ramalingam, Sangdon Park, Osbert Bastani
2023	A*	`conf`	ACon USENIX Security Symposium Sangdon Park, Osbert Bastani, Taesoo Kim
2023	A*	`conf`	Angelic Patches for Improving Third-Party Object Detector Performance. CVPR Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
2023	—	`conf`	CODiT: Conformal Out-of-Distribution Detection in Time-Series Data for Cyber-Physical Systems. ICCPS Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Yahan Yang, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
2023	J	`jnl`	PAC Neural Prediction Set Learning to Quantify the Uncertainty of Generative Language Models. CoRR Sangdon Park, Taesoo Kim
2023	J	`jnl`	PAC Prediction Sets Under Label Shift. CoRR Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
2023	J	`jnl`	TRAC: Trustworthy Retrieval Augmented Chatbot. CoRR Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani
2022	J	`jnl`	ACon CoRR Sangdon Park, Osbert Bastani, Taesoo Kim
2022	J	`jnl`	CODiT: Conformal Out-of-Distribution Detection in Time-Series Data. CoRR Ramneet Kaur, Kaustubh Sridhar, Sangdon Park, Susmit Jha, Anirban Roy, Oleg Sokolsky, Insup Lee
2022	A*	`conf`	PAC Prediction Sets Under Covariate Shift. ICLR Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
2022	A*	`conf`	PAC Prediction Sets for Meta-Learning. NeurIPS Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
2022	J	`jnl`	PAC Prediction Sets for Meta-Learning. CoRR Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
2022	A*	`conf`	Sequential Covariate Shift Detection Using Classifier Two-Sample Tests. ICML Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani
2022	J	`jnl`	Towards PAC Multi-Object Detection and Tracking. CoRR Shuo Li, Sangdon Park, Xiayan Ji, Insup Lee, Osbert Bastani
2022	J	`jnl`	Unsafe's Betrayal: Abusing Unsafe Rust in Binary Reverse Engineering toward Finding Memory-safety Bugs via Machine Learning. CoRR Sangdon Park, Xiang Cheng, Taesoo Kim
2022	A*	`conf`	iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection. AAAI Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
2022	J	`jnl`	iDECODe: In-distribution Equivariance for Conformal Out-of-distribution Detection. CoRR Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee
2021	J	`jnl`	Detecting OODs as datapoints with High Uncertainty. CoRR Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Oleg Sokolsky, Insup Lee
2021	A*	`conf`	PAC Confidence Predictions for Deep Neural Network Classifiers. ICLR Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani
2021	J	`jnl`	PAC Prediction Sets Under Covariate Shift. CoRR Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani
2020	A	`conf`	Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. AISTATS Sangdon Park, Osbert Bastani, James Weimer, Insup Lee
2020	J	`jnl`	Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation. CoRR Sangdon Park, Osbert Bastani, James Weimer, Insup Lee
2020	J	`jnl`	PAC Confidence Predictions for Deep Neural Network Classifiers. CoRR Sangdon Park, Shuo Li, Osbert Bastani, Insup Lee
2020	A*	`conf`	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. ICLR Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
2020	J	`jnl`	PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction. CoRR Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee
2020	J	`jnl`	VisionGuard: Runtime Detection of Adversarial Inputs to Perception Systems. CoRR Yiannis Kantaros, Taylor J. Carpenter, Sangdon Park, Radoslav Ivanov, Sooyong Jang, Insup Lee, James Weimer
2017	J	`jnl`	Resilient Linear Classification: An Approach to Deal with Attacks on Training Data. CoRR Sangdon Park, James Weimer, Insup Lee
2017	—	`conf`	Resilient linear classification: an approach to deal with attacks on training data. ICCPS Sangdon Park, James Weimer, Insup Lee
2016	—	`conf`	Integrated Intelligence for Human-Robot Teams. ISER Jean Oh, Thomas M. Howard, Matthew R. Walter, Daniel Barber, Menglong Zhu, Sangdon Park, Arne Suppé, Luis E. Navarro-Serment, Felix Duvallet, Abdeslam Boularias, Oscar J. Romero, Jerry Vinokurov, Terence Keegan, Robert M. Dean, Craig Lennon, Barry A. Bodt, Marshal Childers, Jianbo Shi, Kostas Daniilidis, Nicholas Roy, Christian Lebiere, Martial Hebert, Anthony Stentz
2012	—	`conf`	Abnormal Object Detection by Canonical Scene-Based Contextual Model. ECCV (3) Sangdon Park, Wonsik Kim, Kyoung Mu Lee