Kimin Lee

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Kimin Lee, Kibok Lee, Honglak Lee et al. · arXiv (Cornell University) · 2018 · 976 citations · Full text

Engineering, Machine Learning, Information Forensics +22

Decision Transformer: Reinforcement Learning via Sequence Modeling

Lili Chen, Kevin Lü, Aravind Rajeswaran et al. · arXiv (Cornell University) · 2021 · 463 citations · Full text

Artificial Intelligence, Large Ai Model, Engineering +9

Using Pre-Training Can Improve Model Robustness and Uncertainty

Dan Hendrycks, Kimin Lee, Mantas Mazeika · arXiv (Cornell University) · 2019 · 429 citations · Full text

Artificial Intelligence, Adversarial Robustness, Pre-training +15

Regularizing Class-Wise Predictions via Self-Knowledge Distillation

Sukmin Yun, Jongjin Park, Kimin Lee et al. · 2020 · 303 citations

Artificial Intelligence, Convolutional Neural Network, Engineering +17

Reinforcement Learning with Augmented Data

Michael Laskin, Kimin Lee, Adam Stooke et al. · arXiv (Cornell University) · 2020 · 246 citations · Full text

Artificial Intelligence, Data Augmentation, Convolutional Neural Network +15