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i-Mix: A Strategy for Regularizing Contrastive Representation Learning

Oct 17, 2020
Kibok Lee, Yian Zhu, Kihyuk Sohn, Chun-Liang Li, Jinwoo Shin, Honglak Lee

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ShapeAdv: Generating Shape-Aware Adversarial 3D Point Clouds

May 24, 2020
Kibok Lee, Zhuoyuan Chen, Xinchen Yan, Raquel Urtasun, Ersin Yumer

* 3D Point Clouds, Adversarial Learning 

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A Simple Randomization Technique for Generalization in Deep Reinforcement Learning

Oct 11, 2019
Kimin Lee, Kibok Lee, Jinwoo Shin, Honglak Lee

* In NeurIPS Workshop on Deep RL, 2019 / First two authors are equally contributed 

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Incremental Learning with Unlabeled Data in the Wild

Mar 29, 2019
Kibok Lee, Kimin Lee, Jinwoo Shin, Honglak Lee

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Robust Inference via Generative Classifiers for Handling Noisy Labels

Jan 31, 2019
Kimin Lee, Sukmin Yun, Kibok Lee, Honglak Lee, Bo Li, Jinwoo Shin

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

Oct 27, 2018
Kimin Lee, Kibok Lee, Honglak Lee, Jinwoo Shin

* Accepted in NIPS 2018 

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Hierarchical Novelty Detection for Visual Object Recognition

Jun 15, 2018
Kibok Lee, Kimin Lee, Kyle Min, Yuting Zhang, Jinwoo Shin, Honglak Lee

* CVPR 2018 

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

Feb 23, 2018
Kimin Lee, Honglak Lee, Kibok Lee, Jinwoo Shin

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Towards Understanding the Invertibility of Convolutional Neural Networks

May 24, 2017
Anna C. Gilbert, Yi Zhang, Kibok Lee, Yuting Zhang, Honglak Lee

* IJCAI 2017 

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

Jun 21, 2016
Yuting Zhang, Kibok Lee, Honglak Lee

* PMLR 48:612-621, 2016 
* International Conference on Machine Learning (ICML), 2016 

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