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Kibok Lee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Kibok Lee 0001
— Incheon National University, Mechatronics Department, Korea (and 2 more)
- Kibok Lee 0002
— Samsung Electronics, DMC R&D Center, MultiMedia R&D Team, Korea (and 1 more)
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2020 – today
- 2024
- [c15]Seunghan Lee, Taeyoung Park, Kibok Lee:
Soft Contrastive Learning for Time Series. ICLR 2024 - [c14]Seunghan Lee, Taeyoung Park, Kibok Lee:
Learning to Embed Time Series Patches Independently. ICLR 2024 - [i17]Seongheon Park, Hyuk Kwon, Kwanghoon Sohn, Kibok Lee:
Rethinking Open-World Semi-Supervised Learning: Distribution Mismatch and Inductive Inference. CoRR abs/2405.20829 (2024) - [i16]Jeongheon Oh, Kibok Lee:
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning. CoRR abs/2406.10815 (2024) - 2023
- [i15]Seunghan Lee, Taeyoung Park, Kibok Lee:
Soft Contrastive Learning for Time Series. CoRR abs/2312.16424 (2023) - [i14]Seunghan Lee, Taeyoung Park, Kibok Lee:
Learning to Embed Time Series Patches Independently. CoRR abs/2312.16427 (2023) - 2022
- [c13]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: 366-382 - [i13]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 abs/2207.11169 (2022) - [i12]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 abs/2209.05654 (2022) - 2021
- [c12]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 - [c11]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. NeurIPS 2021: 17710-17722 - [i11]Hankook Lee, Kibok Lee, Kimin Lee, Honglak Lee, Jinwoo Shin:
Improving Transferability of Representations via Augmentation-Aware Self-Supervision. CoRR abs/2111.09613 (2021) - 2020
- [b1]Kibok Lee:
Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning. University of Michigan, USA, 2020 - [c10]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning. ICLR 2020 - [i10]Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer:
ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds. CoRR abs/2005.11626 (2020) - [i9]Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee:
i-Mix: A Strategy for Regularizing Contrastive Representation Learning. CoRR abs/2010.08887 (2020)
2010 – 2019
- 2019
- [c9]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CVPR Workshops 2019: 29-32 - [c8]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild. ICCV 2019: 312-321 - [c7]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. ICML 2019: 3763-3772 - [i8]Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin:
Robust Inference via Generative Classifiers for Handling Noisy Labels. CoRR abs/1901.11300 (2019) - [i7]Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee:
Incremental Learning with Unlabeled Data in the Wild. CoRR abs/1903.12648 (2019) - [i6]Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee:
A Simple Randomization Technique for Generalization in Deep Reinforcement Learning. CoRR abs/1910.05396 (2019) - 2018
- [c6]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CVPR 2018: 1034-1042 - [c5]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. ICLR (Poster) 2018 - [c4]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. NeurIPS 2018: 7167-7177 - [i5]Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee:
Hierarchical Novelty Detection for Visual Object Recognition. CoRR abs/1804.00722 (2018) - [i4]Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin:
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks. CoRR abs/1807.03888 (2018) - 2017
- [c3]Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee:
Towards Understanding the Invertibility of Convolutional Neural Networks. IJCAI 2017: 1703-1710 - [i3]Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee:
Towards Understanding the Invertibility of Convolutional Neural Networks. CoRR abs/1705.08664 (2017) - [i2]Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin:
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples. CoRR abs/1711.09325 (2017) - 2016
- [c2]Yuting Zhang, Kibok Lee, Honglak Lee:
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. ICML 2016: 612-621 - [i1]Yuting Zhang, Kibok Lee, Honglak Lee:
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification. CoRR abs/1606.06582 (2016) - 2015
- [c1]Kibok Lee, Junmo Kim:
On the Equivalence of Linear Discriminant Analysis and Least Squares. AAAI 2015: 2736-2742
Coauthor Index
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last updated on 2024-08-08 19:19 CEST by the dblp team
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