Chen‐Yu Lee

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All published works

Action	Title	Year	Authors
+ PDF Chat	Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization	2024	Cheng-Yu Hsieh Yung-Sung Chuang Chun‐Liang Li Zifeng Wang Long Tan Le Abhishek Kumar James M. Glass Alexander Ratner Chen‐Yu Lee Ranjay Krishna
+ PDF Chat	Unsupervised LLM Adaptation for Question Answering	2024	Kuniaki Saito Kihyuk Sohn Chen‐Yu Lee Yoshitaka Ushiku
+ PDF Chat	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+	Neural Spline Search for Quantile Probabilistic Modeling	2023	Ruoxi Sun Chun‐Liang Li Sercan Ö. Arık Michael W. Dusenberry Chen‐Yu Lee Tomas Pfister
+ PDF Chat	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	2023	Kihyuk Sohn Jinsung Yoon Chun‐Liang Li Chen‐Yu Lee Tomas Pfister
+	Multimodal Prompting with Missing Modalities for Visual Recognition	2023	Yi-Lun Lee Yi–Hsuan Tsai Wei-Chen Chiu Chen‐Yu Lee
+	Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes	2023	Cheng-Yu Hsieh Chun‐Liang Li Chih‐Kuan Yeh Hootan Nakhost Yasuhisa Fujii Alexander Ratner Ranjay Krishna Chen‐Yu Lee Tomas Pfister
+ PDF Chat	QueryForm: A Simple Zero-shot Form Entity Query Framework	2023	Zifeng Wang Zizhao Zhang Jacob Devlin Chen‐Yu Lee Guolong Su Hao Zhang Jennifer Dy Vinçent Pérot Tomas Pfister
+ PDF Chat	Learning from Weakly-Labeled Web Videos via Exploring Sub-concepts	2022	Kunpeng Li Zizhao Zhang Guanhang Wu Xuehan Xiong Chen‐Yu Lee Zhichao Lu Yun Fu Tomas Pfister
+ PDF Chat	Learning to Prompt for Continual Learning	2022	Zifeng Wang Zizhao Zhang Chen‐Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vincent Perot Jennifer Dy Tomas Pfister
+	Towards Group Robustness in the presence of Partial Group Labels	2022	Vishnu Suresh Lokhande Kihyuk Sohn Jinsung Yoon Madeleine Udell Chen‐Yu Lee Tomas Pfister
+	QueryForm: A Simple Zero-shot Form Entity Query Framework	2022	Zifeng Wang Zizhao Zhang Jacob Devlin Chen‐Yu Lee Guolong Su Hao Zhang Jennifer Dy Vinçent Pérot Tomas Pfister
+	VRDU: A Benchmark for Visually-rich Document Understanding	2022	Zilong Wang Yichao Zhou Wei Wei Chen‐Yu Lee Sandeep Tata
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	Self-Trained One-class Classification for Unsupervised Anomaly Detection.	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	Learning to Prompt for Continual Learning	2021	Zifeng Wang Zizhao Zhang Chen‐Yu Lee Han Zhang Ruoxi Sun Xiaoqi Ren Guolong Su Vinçent Pérot Jennifer Dy Tomas Pfister
+	Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types	2021	Kihyuk Sohn Jinsung Yoon Chun‐Liang Li Chen‐Yu Lee Tomas Pfister
+	ROPE: Reading Order Equivariant Positional Encoding for Graph-based Document Information Extraction	2021	Chen‐Yu Lee Chun‐Liang Li Chu Wang Renshen Wang Yasuhisa Fujii Siyang Qin Ashok C. Popat Tomas Pfister
+	Self-supervise, Refine, Repeat: Improving Unsupervised Anomaly Detection	2021	Jinsung Yoon Kihyuk Sohn Chun‐Liang Li Sercan Ö. Arık Chen‐Yu Lee Tomas Pfister
+	Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts	2021	Kunpeng Li Zizhao Zhang Guanhang Wu Xuehan Xiong Chen‐Yu Lee Zhichao Lu Yun Fu Tomas Pfister
+	Learning to Branch for Multi-Task Learning	2020	Pengsheng Guo Chen‐Yu Lee Daniel Ulbricht
+	A Simple Semi-Supervised Learning Framework for Object Detection	2020	Kihyuk Sohn Zizhao Zhang Chun‐Liang Li Han Zhang Chen‐Yu Lee Tomas Pfister
+	Learning to Branch for Multi-Task Learning	2020	Pengsheng Guo Chen‐Yu Lee Daniel Ulbricht
+ PDF Chat	Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	2019	Chen‐Yu Lee Tanmay Batra Mohammad Haris Baig Daniel Ulbricht
+	Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	2019	Chen‐Yu Lee Tanmay Batra Mohammad Haris Baig Daniel Ulbricht
+	Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation	2019	Chen‐Yu Lee Tanmay Batra Mohammad Haris Baig Daniel Ulbricht
+ PDF Chat	RoomNet: End-to-End Room Layout Estimation	2017	Chen‐Yu Lee Vijay Badrinarayanan Tomasz Malisiewicz Andrew Rabinovich
+	RoomNet: End-to-End Room Layout Estimation	2017	Chen‐Yu Lee Vijay Badrinarayanan Tomasz Malisiewicz Andrew Rabinovich
+	GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks	2017	Zhao Chen Vijay Badrinarayanan Chen‐Yu Lee Andrew Rabinovich
+	RoomNet: End-to-End Room Layout Estimation	2017	Chen‐Yu Lee Vijay Badrinarayanan Tomasz Malisiewicz Andrew Rabinovich
+ PDF Chat	Recursive Recurrent Nets with Attention Modeling for OCR in the Wild	2016	Chen‐Yu Lee Simon Osindero
+	Recursive Recurrent Nets with Attention Modeling for OCR in the Wild	2016	Chen‐Yu Lee Simon Osindero
+	Training Deeper Convolutional Networks with Deep Supervision	2015	Liwei Wang Chen‐Yu Lee Zhuowen Tu Svetlana Lazebnik
+	Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree	2015	Chen‐Yu Lee Patrick W. Gallagher Zhuowen Tu
+	Deeply-Supervised Nets	2014	Chen‐Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu
+	A fuzzy AHP application on evaluation of high-yield bond investment	2008	Chen‐Yu Lee Jao‐Hong Cheng

Common Coauthors

Coauthor	Papers Together
Tomas Pfister	19
Chun‐Liang Li	12
Kihyuk Sohn	7
Zizhao Zhang	6
Jinsung Yoon	5
Daniel Ulbricht	5
Andrew Rabinovich	4
Jennifer Dy	4
Vijay Badrinarayanan	4
Sercan Ö. Arık	4
Chu Wang	3
Tanmay Batra	3
Zhuowen Tu	3
Siyang Qin	3
Ruoxi Sun	3
Vinçent Pérot	3
Ashok C. Popat	3
Guolong Su	3
Tomasz Malisiewicz	3
Mohammad Haris Baig	3
Zifeng Wang	3
Renshen Wang	3
Yasuhisa Fujii	2
Yun Fu	2
Xiaoqi Ren	2
Cheng-Yu Hsieh	2
Zhichao Lu	2
Ranjay Krishna	2
Pengsheng Guo	2
Michael W. Dusenberry	2
Simon Osindero	2
Patrick W. Gallagher	2
Jacob Devlin	2
Alexander Ratner	2
Guanhang Wu	2
Yasuhisa Fujii	2
Han Zhang	2
Kunpeng Li	2
Xuehan Xiong	2
Vishnu Suresh Lokhande	1
Zifeng Wang	1
Yung-Sung Chuang	1
Madeleine Udell	1
Vincent Perot	1
Wei Wei	1
Zilong Wang	1
Hao Zhang	1
Hao Zhang	1
Long Tan Le	1
Han Zhang	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	9
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	5
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	4
+ PDF Chat	FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents	2019	Guillaume Jaume Hazım Kemal Ekenel Jean‐Philippe Thiran	3
+ PDF Chat	CloudScan - A Configuration-Free Invoice Analysis System Using Recurrent Neural Networks	2017	Rasmus Palm Ole Winther Florian Laws	3
+	Deeply-Supervised Nets	2014	Chen‐Yu Lee Saining Xie Patrick W. Gallagher Zhengyou Zhang Zhuowen Tu	3
+ PDF Chat	Chargrid: Towards Understanding 2D Documents	2018	Anoop R Katti Christian Reisswig Cordula Guder Sebastian Brarda Steffen Bickel Johannes Höhne Jean Baptiste Faddoul	3
+	Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree	2015	Chen‐Yu Lee Patrick W. Gallagher Zhuowen Tu	3
+	CUTIE: Learning to Understand Documents with Convolutional Universal Text Information Extractor	2019	Xiaohui Zhao Zhuo Wu Xiaoguang Wang	3
+	Attention Is All You Need	2017	Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N. Gomez Łukasz Kaiser Illia Polosukhin	3
+	CyCADA: Cycle-Consistent Adversarial Domain Adaptation	2017	Judy Hoffman Eric Tzeng Taesung Park Jun-Yan Zhu Phillip Isola Kate Saenko Alexei A. Efros Trevor Darrell	3
+ 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	3
+	Unsupervised Image-to-Image Translation Networks	2017	Ming-Yu Liu Thomas M. Breuel Jan Kautz	2
+	Deep Domain Confusion: Maximizing for Domain Invariance	2014	Eric Tzeng Judy Hoffman Ning Zhang Kate Saenko Trevor Darrell	2
+	Joint Distribution Optimal Transportation for Domain Adaptation	2017	Nicolas Courty Rémi Flamary Amaury Habrard Alain Rakotomamonjy	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	2
+ PDF Chat	Maximum Classifier Discrepancy for Unsupervised Domain Adaptation	2018	Kuniaki Saito Kohei Watanabe Yoshitaka Ushiku Tatsuya Harada	2
+ PDF Chat	Sliced Wasserstein Distance for Learning Gaussian Mixture Models	2018	Soheil Kolouri Gustavo K. Rohde H. Hoffmann	2
+ PDF Chat	Wasserstein Introspective Neural Networks	2018	Kwonjoon Lee Weijian Xu Fan Fan Zhuowen Tu	2
+	VisDA: The Visual Domain Adaptation Challenge	2017	Xingchao Peng Ben Usman Neela Kaushik Judy Hoffman Dequan Wang Kate Saenko	2
+ PDF Chat	Variational Wasserstein Clustering	2018	Liang Mi Wen Zhang Xianfeng Gu Yalin Wang	2
+ PDF Chat	Implicit 3D Orientation Learning for 6D Object Detection from RGB Images	2018	Martin Sundermeyer Zoltán-Csaba Márton Maximilian Durner Manuel Brucker Rudolph Triebel	2
+ PDF Chat	Graph Convolution for Multimodal Information Extraction from Visually Rich Documents	2019	Xiaojing Liu Feiyu Gao Qiong Zhang Huasha Zhao	2
+ PDF Chat	Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation	2018	Swami Sankaranarayanan Yogesh Balaji Arpit Jain Ser Nam Lim Rama Chellappa	2
+ PDF Chat	Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes	2017	Yang Zhang Philip David Boqing Gong	2
+ PDF Chat	Generate to Adapt: Aligning Domains Using Generative Adversarial Networks	2018	Swami Sankaranarayanan Yogesh Balaji Carlos D. Castillo Rama Chellappa	2
+	Iterative Reclassification Procedure for Constructing an Asymptotically Optimal Rule of Allocation in Discriminant Analysis	1975	Geoffrey J. McLachlan	2
+ PDF Chat	Graph Convolutional Networks for Text Classification	2019	Liang Yao Chengsheng Mao Yuan Luo	2
+ PDF Chat	Associative Domain Adaptation	2017	Philip Haeusser Thomas Frerix Alexander Mordvintsev Daniel Cremers	2
+ PDF Chat	Open Set Domain Adaptation by Backpropagation	2018	Kuniaki Saito Shohei Yamamoto Yoshitaka Ushiku Tatsuya Harada	2
+ PDF Chat	Pyramid Scene Parsing Network	2017	Hengshuang Zhao Jianping Shi Xiaojuan Qi Xiaogang Wang Jiaya Jia	2
+	Isolation Forest	2008	Fei Tony Liu Kai Ming Ting Zhi‐Hua Zhou	2
+	Optimal Mass Transport for Registration and Warping	2004	Steven Haker Lei Zhu Allen Tannenbaum Sigurd Angenent	2
+ PDF Chat	Playing for Data: Ground Truth from Computer Games	2016	Stephan R. Richter Vibhav Vineet Stefan Roth Vladlen Koltun	2
+	Domain Separation Networks	2016	Konstantinos Bousmalis George Trigeorgis Nathan Silberman Dilip Krishnan Dumitru Erhan	2
+	FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation	2016	Judy Hoffman Dequan Wang Fisher Yu Trevor Darrell	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+	Scikit-learn: Machine Learning in Python	2012	Fabián Pedregosa Gaël Varoquaux Alexandre Gramfort Vincent Michel Bertrand Thirion Olivier Grisel Mathieu Blondel Peter Prettenhofer Ron J. Weiss Vincent Dubourg	2
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	2
+ 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	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	2
+ PDF Chat	Domain-Adversarial Training of Neural Networks	2017	Yaroslav Ganin Evgeniya Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette Mario Marchand Victor Lempitsky	2
+	Self-ensembling for visual domain adaptation	2017	Geoffrey French Michał Mackiewicz Mark Fisher	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+	Stochastic Pooling for Regularization of Deep Convolutional Neural Networks	2013	Matthew D. Zeiler Rob Fergus	2
+	Improving predictive inference under covariate shift by weighting the log-likelihood function	2000	Hidetoshi Shimodaira	2
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	2