Kibok Lee

Generating author description...

All published works

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

Common Coauthors

Coauthor	Papers Together
Honglak Lee	24
Jinwoo Shin	22
Kimin Lee	20
Yuting Zhang	4
Taeyoung Park	3
Avinash Ravichandran	3
Sukmin Yun	3
Seunghan Lee	3
Bo Li	3
Kyle Min	3
Xinchen Yan	2
Onkar Dabeer	2
Chun‐Liang Li	2
Gurumurthy Swaminathan	2
Raquel Urtasun	2
Ersin Yumer	2
Zhuoyuan Chen	2
Yian Zhu	2
Kihyuk Sohn	2
Hankook Lee	2
Yuting Zhang	1
Satyaki Chakraborty	1
Onkar Dabeer	1
Achin Jain	1
Seongheon Park	1
Anna C. Gilbert	1
Bernt Schiele	1
Swaminathan Gurumurthy	1
Kwanghoon Sohn	1
Yi Zhang	1
Zhaowei Cai	1
Hao Yang	1
Hao Yang	1
Zhaowei Cai	1
Satyaki Chakraborty	1
Hao	1
Hyuk Jun Kwon	1
Jeongheon Oh	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	11
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	5
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	4
+	Incremental Classifier Learning with Generative Adversarial Networks	2018	Yue Wu Yinpeng Chen Lijuan Wang Yuancheng Ye Zicheng Liu Yandong Guo Zhengyou Zhang Yun Fu	4
+	A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets	2017	Patryk Chrabąszcz Ilya Loshchilov Frank Hutter	4
+	Generative replay with feedback connections as a general strategy for continual learning	2018	Gido M. van de Ven Andreas S. Tolias	3
+ PDF Chat	Memory Aware Synapses: Learning What (not) to Forget	2018	Rahaf Aljundi Francesca Babiloni Mohamed Elhoseiny Marcus Rohrbach Tinne Tuytelaars	3
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	3
+ PDF Chat	Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence	2018	Arslan Chaudhry Puneet K. Dokania Thalaiyasingam Ajanthan Philip H. S. Torr	3
+	Exploring the Limits of Weakly Supervised Pretraining	2018	Dhruv Mahajan Ross Girshick Vignesh Ramanathan Kaiming He Manohar Paluri Yixuan Li Ashwin Bharambe Laurens van der Maaten	3
+	On Calibration of Modern Neural Networks	2017	Chuan Guo Geoff Pleiss Yu Sun Kilian Q. Weinberger	3
+	Overcoming catastrophic forgetting in neural networks	2017	James Kirkpatrick Razvan Pascanu Neil C. Rabinowitz Joel Veness Guillaume Desjardins Andrei A. Rusu Kieran Milan John Quan Tiago Ramalho Agnieszka Grabska‐Barwińska	3
+ PDF Chat	Less-Forgetful Learning for Domain Expansion in Deep Neural Networks	2018	Heechul Jung Jeongwoo Ju Minju Jung Junmo Kim	3
+	AutoAugment: Learning Augmentation Policies from Data	2018	Ekin D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le	3
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	3
+ PDF Chat	Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning	2018	Takeru Miyato Shin‐ichi Maeda Masanori Koyama Shin Ishii	3
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	3
+ PDF Chat	Hierarchical Novelty Detection for Visual Object Recognition	2018	Kibok Lee Kimin Lee Kyle Min Yuting Zhang Jinwoo Shin Honglak Lee	3
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	3
+	Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples	2017	Kimin Lee Honglak Lee Kibok Lee Jinwoo Shin	3
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	3
+	SupportNet: solving catastrophic forgetting in class incremental learning with support data	2018	Li Yu Zhongxiao Li Lizhong Ding Yijie Pan Chao Huang Yuhui Hu Wei Chen Xin Gao	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+ PDF Chat	Learning Without Forgetting	2016	Zhizhong Li Derek Hoiem	3
+	Adversarial Attacks on Neural Network Policies	2017	Sandy H. Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel	2
+ PDF Chat	Dynamic Treatment Regimes	2013	Bibhas Chakraborty Susan A. Murphy	2
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	2
+	Domain Randomization for Active Pose Estimation	2019	Xinyi Ren Jianlan Luo Eugen Solowjow Juan Aparicio Ojea Abhishek Gupta Aviv Tamar Pieter Abbeel	2
+	Environment Probing Interaction Policies	2019	Wenxuan Zhou Lerrel Pinto Abhinav Gupta	2
+	Unsupervised Data Augmentation	2019	Qizhe Xie Zihang Dai Eduard Hovy Minh-Thang Luong Quoc V. Le	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Generalization and Regularization in DQN	2018	Jesse Farebrother Marlos C. Machado Michael Bowling	2
+	Assessing Generalization in Deep Reinforcement Learning	2018	Charles Packer Katelyn Gao Jernej Kos Philipp Krähenbühl Vladlen Koltun Dawn Song	2
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	2
+	A Dissection of Overfitting and Generalization in Continuous Reinforcement Learning	2018	Amy Zhang Nicolas Ballas Joëlle Pineau	2
+ PDF Chat	End-to-End Incremental Learning	2018	Francisco M. Castro Manuel J. Marín‐Jiménez Nicolás Guil Cordelia Schmid Karteek Alahari	2
+	ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness	2018	Robert Geirhos Patricia Rubisch Claudio Michaelis Matthias Bethge Felix A. Wichmann Wieland Brendel	2
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	2
+ PDF Chat	Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights	2018	Arun Mallya Dillon Davis Svetlana Lazebnik	2
+	Deep Speech 2: End-to-End Speech Recognition in English and Mandarin	2015	Dario Amodei Rishita Anubhai Eric Battenberg Carl Case Jared Casper Bryan Catanzaro Jingdong Chen Mike Chrzanowski Adam Coates Greg Diamos	2
+	Online Structured Laplace Approximations For Overcoming Catastrophic Forgetting	2018	Hippolyt Ritter Aleksandar Botev David Barber	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+	IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures	2018	Lasse Espeholt Hubert Soyer Rémi Munos Karen Simonyan Volodymir Mnih Tom Ward Yotam Doron Vlad Firoiu Tim Harley Iain Dunning	2
+	Variational Continual Learning	2017	Cuong V. Nguyen Yingzhen Li Thang D. Bui Richard E. Turner	2
+	Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks	2017	Shiyu Liang Yixuan Li R. Srikant	2
+	A Study on Overfitting in Deep Reinforcement Learning	2018	Chiyuan Zhang Oriol Vinyals Rémi Munos Samy Bengio	2
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	2