Kibok Lee

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2023

Learning to Embed Time Series Patches Independently.

[BibT_eX]

[DOI]

Seunghan Lee

Taeyoung Park

Kibok Lee

CoRR, 2023

Soft Contrastive Learning for Time Series.

[BibT_eX]

[DOI]

Seunghan Lee

Taeyoung Park

Kibok Lee

CoRR, 2023

2022

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers.

[BibT_eX]

[DOI]

Achin Jain

Kibok Lee

Gurumurthy Swaminathan

CoRR, 2022

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark.

[BibT_eX]

[DOI]

Gurumurthy Swaminathan

Avinash Ravichandran

Onkar Dabeer

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Improving Transferability of Representations via Augmentation-Aware Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Robust Deep Learning in the Open World with Lifelong Learning and Representation Learning.

[BibT_eX]

[DOI]

Kibok Lee

PhD thesis, 2020

i-Mix: A Strategy for Regularizing Contrastive Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2020

ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds.

[BibT_eX]

[DOI]

CoRR, 2020

Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

A Simple Randomization Technique for Generalization in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Robust Inference via Generative Classifiers for Handling Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Incremental Learning with Unlabeled Data in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Hierarchical Novelty Detection for Visual Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Towards Understanding the Invertibility of Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification.

[BibT_eX]

[DOI]

Yuting Zhang

Kibok Lee

Honglak Lee

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

On the Equivalence of Linear Discriminant Analysis and Least Squares.

[BibT_eX]

[DOI]

Kibok Lee

Junmo Kim

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Kibok Lee

Known people with the same name:

Bibliography

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