Hyundo Lee

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All published works

Action	Title	Year	Authors
+ PDF Chat	DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning	2024	Wonseok Choi Hyundo Lee Dong-Sig Han Junseok Park Heeyeon Koo Byoung‐Tak Zhang
+ PDF Chat	DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning	2024	Wonseok Choi Hyundo Lee Dong-Sig Han Junseok Park Heeyeon Koo Byoung‐Tak Zhang
+ PDF Chat	Learning Geometry-aware Representations by Sketching	2023	Hyundo Lee Inwoo Hwang Hyunsung Go Wonseok Choi Kibeom Kim Byoung Tak Zhang
+	Learning Geometry-aware Representations by Sketching	2023	Hyundo Lee Inwoo Hwang Hyunsung Go Wonseok Choi Kibeom Kim Byoung‐Tak Zhang
+	L-SA: Learning Under-Explored Targets in Multi-Target Reinforcement Learning	2023	Kibeom Kim Hyundo Lee Min Whoo Lee Moonheon Lee Minsu Lee Byoung‐Tak Zhang
+	Robust Imitation via Mirror Descent Inverse Reinforcement Learning	2022	Dong-Sig Han Hyunseo Kim Hyundo Lee Je-Hwan Ryu Byoung‐Tak Zhang
+	DUEL: Adaptive Duplicate Elimination on Working Memory for Self-Supervised Learning	2022	Wonseok Choi Dong-Sig Han Hyundo Lee Junseok Park Byoung‐Tak Zhang
+	Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning	2020	Taehyeong Kim In‐June Hwang Hyundo Lee Hyunseo Kim Wonseok Choi Joseph J. Lim Byoung‐Tak Zhang
+ PDF Chat	Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning	2020	Taehyeong Kim In‐June Hwang Hyundo Lee Hyunseo Kim Wonseok Choi Joseph J. Lim Byoung‐Tak Zhang
+	Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning	2020	Taehyeong Kim In‐June Hwang Hyundo Lee Hyunseo Kim Wonseok Choi Joseph J. Lim Byoung‐Tak Zhang
+	Encoder-Powered Generative Adversarial Networks.	2019	Jiseob Kim Seungjae Jung Hyundo Lee Byoung‐Tak Zhang
+	Encoder-Powered Generative Adversarial Networks	2019	Jiseob Kim Seungjae Jung Hyundo Lee Byoung‐Tak Zhang

Common Coauthors

Coauthor	Papers Together
Wonseok Choi	8
Byoung‐Tak Zhang	7
Byoung‐Tak Zhang	4
Hyunseo Kim	4
Dong-Sig Han	4
In‐June Hwang	3
Junseok Park	3
Taehyeong Kim	3
Joseph J. Lim	3
Kibeom Kim	3
Inwoo Hwang	2
Jiseob Kim	2
Hyunsung Go	2
Heeyeon Koo	2
Moonheon Lee	1
Seungjae Jung	1
Seungjae Jung	1
Min Whoo Lee	1
Je-Hwan Ryu	1
Byoung Tak Zhang	1
Minsu Lee	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A Simple Framework for Contrastive Learning of Visual Representations	2020	Ting Chen Simon Kornblith Mohammad Norouzi Geoffrey E. Hinton	2
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	2
+	Supervised Contrastive Learning	2020	Prannay Khosla Piotr Teterwak Chen Wang Aaron Sarna Yonglong Tian Phillip Isola Aaron Maschinot Ce Liu Dilip Krishnan	2
+	The Unity and Diversity of Executive Functions and Their Contributions to Complex “Frontal Lobe” Tasks: A Latent Variable Analysis	2000	Akira Miyake Naomi P. Friedman Michael J. Emerson Alexander Witzki Amy Howerter Tor D. Wager	1
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Unrolled Generative Adversarial Networks	2016	Luke Metz Ben Poole David Pfau Jascha Sohl‐Dickstein	1
+ PDF Chat	CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning	2017	Justin Johnson Bharath Hariharan Laurens van der Maaten Li Fei-Fei C. Lawrence Zitnick Ross Girshick	1
+ PDF Chat	Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval	2017	Li Liu Fumin Shen Yuming Shen Xianglong Liu Ling Shao	1
+	BEGAN: Boundary Equilibrium Generative Adversarial Networks	2017	David Berthelot Thomas Schumm Luke Metz	1
+	A Neural Representation of Sketch Drawings	2017	David Ha Douglas Eck	1
+	Multi-Agent Diverse Generative Adversarial Networks	2017	Arnab Ghosh Viveka Kulharia Vinay P. Namboodiri Philip H. S. Torr Puneet K. Dokania	1
+ PDF Chat	DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data	2017	Swaminathan Gurumurthy Ravi Kiran Sarvadevabhatla R. Venkatesh Babu	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Sketch-pix2seq: a Model to Generate Sketches of Multiple Categories	2017	Yajing Chen Shikui Tu Yuqi Yi Lei Xu	1
+ PDF Chat	A systematic study of the class imbalance problem in convolutional neural networks	2018	Mateusz Buda Atsuto Maki Maciej A. Mazurowski	1
+	The Riemannian Geometry of Deep Generative Models	2017	Hang Shao Abhishek Kumar P. Thomas Fletcher	1
+	Disentangling by Factorising	2018	Hyunjik Kim Andriy Mnih	1
+	Synthesizing Programs for Images using Reinforced Adversarial Learning	2018	Yaroslav Ganin Tejas Kulkarni I. Babuschkin S. M. Ali Eslami Oriol Vinyals	1
+ PDF Chat	Superpixel Sampling Networks	2018	Varun Jampani Deqing Sun Mingyu Liu Ming–Hsuan Yang Jan Kautz	1
+	Towards a Definition of Disentangled Representations	2018	Irina Higgins David Amos David Pfau Sébastien Racanière Löıc Matthey Danilo Jimenez Rezende Alexander Lerchner	1
+	Graph Neural Networks: A Review of Methods and Applications	2018	Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Edge-Labeling Graph Neural Network for Few-Shot Learning	2019	Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo	1
+	Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks	2019	Rohan Ghosh Anupam K. Gupta	1
+	Overcoming Catastrophic Forgetting by Incremental Moment Matching	2017	Sang-Woo Lee Jin-Hwa Kim Jae-Hyun Jun Jung-Woo Ha Byoung‐Tak Zhang	1
+	Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders	2017	Jesse Engel Cinjon Resnick Adam P. Roberts Sander Dieleman Douglas Eck Karen Simonyan Mohammad Norouzi	1
+	A Theoretical Analysis of Contrastive Unsupervised Representation Learning	2019	Sanjeev Arora Hrishikesh Khandeparkar Mikhail Khodak Orestis Plevrakis Nikunj Saunshi	1
+	Deep Bayesian Active Learning with Image Data	2017	Yarin Gal Riashat Islam Zoubin Ghahramani	1
+ PDF Chat	Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection	2018	David Novotný Samuel Albanie Diane Larlus Andrea Vedaldi	1
+ PDF Chat	Learning to Sketch with Shortcut Cycle Consistency	2018	Jifei Song Kaiyue Pang Yi-Zhe Song Tao Xiang Timothy M. Hospedales	1
+ PDF Chat	Low-Shot Learning with Large-Scale Diffusion	2018	Matthijs Douze Arthur Szlam Bharath Hariharan Hervé Jeǵou	1
+ PDF Chat	Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks	2017	Jun-Yan Zhu Taesung Park Phillip Isola Alexei A. Efros	1
+ PDF Chat	Learning a shared shape space for multimodal garment design	2018	Tuanfeng Y. Wang Duygu Ceylan Jovan Popović Niloy J. Mitra	1
+ PDF Chat	Large-Scale Long-Tailed Recognition in an Open World	2019	Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu	1
+	InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets	2016	Xi Chen Yan Duan Rein Houthooft John Schulman Ilya Sutskever Pieter Abbeel	1
+	Representation Learning on Graphs: Methods and Applications	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+ PDF Chat	Photo-Sketching: Inferring Contour Drawings From Images	2019	Mengtian Li Zhe Lin Radomír Měch Ersin Yumer Deva Ramanan	1
+ PDF Chat	Class-Balanced Loss Based on Effective Number of Samples	2019	Yin Cui Menglin Jia Tsung-Yi Lin Yang Song Serge Belongie	1
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	1
+	BourGAN: Generative Networks with Metric Embeddings	2018	Chang Xiao Peilin Zhong Changxi Zheng	1
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	1
+	Isolating Sources of Disentanglement in Variational Autoencoders	2018	Ricky T. Q. Chen Xuechen Li Roger Grosse David Duvenaud	1
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	1
+ PDF Chat	Explainable and Explicit Visual Reasoning Over Scene Graphs	2019	Jiaxin Shi Hanwang Zhang Juanzi Li	1
+	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss	2019	Kaidi Cao Colin Wei Adrien Gaidon Nikos Aréchiga Tengyu Ma	1
+	Unsupervised Doodling and Painting with Improved SPIRAL	2019	John F. J. Mellor Eunbyung Park Yaroslav Ganin I. Babuschkin Tejas Kulkarni Dan Rosenbaum Andy Ballard Théophane Weber Oriol Vinyals S. M. Ali Eslami	1
+ PDF Chat	Label Propagation for Deep Semi-Supervised Learning	2019	Ahmet İşcen Giorgos Tolias Yannis Avrithis Ondřej Chum	1
+ PDF Chat	SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color	2019	Youngjoo Jo Jongyoul Park	1
+ PDF Chat	Learning to Paint With Model-Based Deep Reinforcement Learning	2019	Zhewei Huang Shuchang Zhou Wen Heng	1