Lee, Insup

24 publications

TMLR 2026 On Calibration of Multilingual Question Answering LLMs Yahan Yang, Soham Dan, Dan Roth, Insup Lee

AAAI 2025 Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language Models Jean Park, Kuk Jin Jang, Basam Alasaly, Sriharsha Mopidevi, Andrew Zolensky, Eric Eaton, Insup Lee, Kevin B. Johnson

ICLR 2025 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

CoRL 2025 RICL: Adding In-Context Adaptability to Pre-Trained Vision-Language-Action Models Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

NeurIPS 2024 AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal Properties Xiayan Ji, Anton Xue, Eric Wong, Oleg Sokolsky, Insup Lee

AAAI 2024 Conformal Prediction Regions for Time Series Using Linear Complementarity Programming Matthew Cleaveland, Insup Lee, George J. Pappas, Lars Lindemann

TMLR 2024 Credal Bayesian Deep Learning Michele Caprio, Souradeep Dutta, Kuk Jin Jang, Vivian Lin, Radoslav Ivanov, Oleg Sokolsky, Insup Lee

L4DC 2024 DC4L: Distribution Shift Recovery via Data-Driven Control for Deep Learning Models Vivian Lin, Kuk Jin Jang, Souradeep Dutta, Michele Caprio, Oleg Sokolsky, Insup Lee

ICLR 2024 Memory-Consistent Neural Networks for Imitation Learning Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee

ICLR 2024 PAC Prediction Sets Under Label Shift Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani

NeurIPSW 2024 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

NeurIPSW 2024 REGENT: A Retrieval-Augmented Generalist Agent That Can Act In-Context in New Environments Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, Insup Lee

CVPR 2023 Angelic Patches for Improving Third-Party Object Detector Performance Wenwen Si, Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

L4DC 2023 Guaranteed Conformance of Neurosymbolic Models to Natural Constraints Kaustubh Sridhar, Souradeep Dutta, James Weimer, Insup Lee

ICMLW 2023 TRAC: Trustworthy Retrieval Augmented Chatbot Shuo Li, Sangdon Park, Insup Lee, Osbert Bastani

CoRL 2022 Exploring with Sticky Mittens: Reinforcement Learning with Expert Interventions via Option Templates Souradeep Dutta, Kaustubh Sridhar, Osbert Bastani, Edgar Dobriban, James Weimer, Insup Lee, Julia Parish-Morris

ICLR 2022 PAC Prediction Sets Under Covariate Shift Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

NeurIPS 2022 PAC Prediction Sets for Meta-Learning Sangdon Park, Edgar Dobriban, Insup Lee, Osbert Bastani

ICML 2022 Sequential Covariate Shift Detection Using Classifier Two-Sample Tests Sooyong Jang, Sangdon Park, Insup Lee, Osbert Bastani

AAAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection Ramneet Kaur, Susmit Jha, Anirban Roy, Sangdon Park, Edgar Dobriban, Oleg Sokolsky, Insup Lee

AISTATS 2021 Improving Classifier Confidence Using Lossy Label-Invariant Transformations Sooyong Jang, Insup Lee, James Weimer

ICLR 2021 PAC Confidence Predictions for Deep Neural Network Classifiers Sangdon Park, Shuo Li, Insup Lee, Osbert Bastani

AISTATS 2020 Calibrated Prediction with Covariate Shift via Unsupervised Domain Adaptation Sangdon Park, Osbert Bastani, James Weimer, Insup Lee

ICLR 2020 PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park, Osbert Bastani, Nikolai Matni, Insup Lee