Kibok Lee

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 30

Top Topics

Incremental Learning

Linear Discriminant

Top Venues

Publications

Jeongheon Oh, Kibok Lee
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning. CoRR (2024)
Seongheon Park, Hyuk Kwon, Kwanghoon Sohn, Kibok Lee
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference. CoRR (2024)
Seunghan Lee, Taeyoung Park, Kibok Lee
Soft Contrastive Learning for Time Series. ICLR (2024)
Seunghan Lee, Taeyoung Park, Kibok Lee
Learning to Embed Time Series Patches Independently. CoRR (2023)
Seunghan Lee, Taeyoung Park, Kibok Lee
Soft Contrastive Learning for Time Series. CoRR (2023)
Achin Jain, Kibok Lee, Gurumurthy Swaminathan, Hao Yang, Bernt Schiele, Avinash Ravichandran, Onkar Dabeer
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers. CoRR (2022)
Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. CoRR (2022)
Kibok Lee, Hao Yang, Satyaki Chakraborty, Zhaowei Cai, Gurumurthy Swaminathan, Avinash Ravichandran, Onkar Dabeer
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark. ECCV (20) (2022)
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning. ICLR (2021)
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS (2021)
Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR (2021)
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR (2020)
Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. CoRR (2020)
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR (2020)
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops (2019)
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
Incremental Learning with Unlabeled Data in the Wild. CoRR (2019)
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
Robust Inference via Generative Classifiers for Handling Noisy Labels. CoRR (2019)
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV (2019)
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. CoRR (2019)
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML (2019)
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. ICLR (Poster) (2018)
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. NeurIPS (2018)
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
Hierarchical Novelty Detection for Visual Object Recognition. CVPR (2018)
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. CoRR (2018)
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee
Hierarchical Novelty Detection for Visual Object Recognition. CoRR (2018)
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. CoRR (2017)
Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee
Towards Understanding the Invertibility of Convolutional Neural Networks. IJCAI (2017)
Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee
Towards Understanding the Invertibility of Convolutional Neural Networks. CoRR (2017)
Yuting Zhang, Kibok Lee, Honglak Lee
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. CoRR (2016)
Yuting Zhang, Kibok Lee, Honglak Lee
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. ICML (2016)
Kibok Lee, Junmo Kim
On the Equivalence of Linear Discriminant Analysis and Least Squares. AAAI (2015)