Sangdoo Yun

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All published works

Action	Title	Year	Authors
+ PDF Chat	Code-Switching Curriculum Learning for Multilingual Transfer in LLMs	2024	Haneul Yoo Cheonbok Park Sangdoo Yun Alice Oh Hwaran Lee
+ PDF Chat	Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models	2024	Haritz Puerto Martin Gubri Sangdoo Yun Seung‐June Oh
+ PDF Chat	Probabilistic Language-Image Pre-Training	2024	Sanghyuk Chun Wonjae Kim Song Park Sangdoo Yun
+ PDF Chat	Versatile Motion Langauge Models for Multi-Turn Interactive Agents	2024	Jeongeun Park Sungjoon Choi Sangdoo Yun
+ PDF Chat	DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation	2024	Changdae Oh Yixuan Li Kyungwoo Song Sangdoo Yun Dongyoon Han
+ PDF Chat	Targeted Cause Discovery with Data-Driven Learning	2024	Jang Hyun Kim Claudia Skok Gibbs Sangdoo Yun Hyun Oh Song Kyunghyun Cho
+ PDF Chat	Direct Unlearning Optimization for Robust and Safe Text-to-Image Models	2024	Yong-Hyun Park Sangdoo Yun Jin-Hwa Kim JunHo Kim Geonhui Jang Yonghyun Jeong Junghyo Jo Gayoung Lee
+ PDF Chat	TimeChara: Evaluating Point-in-Time Character Hallucination of Role-Playing Large Language Models	2024	Jae‐Woo Ahn T.H. Lee Junyoung Lim Jin-Hwa Kim Sangdoo Yun Hwaran Lee Gunhee Kim
+ PDF Chat	Unveiling Disparities in Web Task Handling Between Human and Web Agent	2024	Kihoon Son Jinhyeon Kwon DaEun Choi Tae Soo Kim Young‐Ho Kim Sangdoo Yun Juho Kim
+ PDF Chat	HYPE: Hyperbolic Entailment Filtering for Underspecified Images and Texts	2024	Wonjae Kim Sanghyuk Chun Taekyung Kim Dongyoon Han Sangdoo Yun
+ PDF Chat	Toward Interactive Regional Understanding in Vision-Large Language Models	2024	Jungbeom Lee Sanghyuk Chun Sangdoo Yun
+ PDF Chat	Rotary Position Embedding for Vision Transformer	2024	Byeongho Heo Song Park Dongyoon Han Sangdoo Yun
+ PDF Chat	Calibrating Large Language Models Using Their Generations Only	2024	Dennis Ulmer Martin Gubri Hwaran Lee Sangdoo Yun Seong Joon Oh
+ PDF Chat	TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification	2024	Martin Gubri Dennis Ulmer Hwaran Lee Sangdoo Yun Seong Joon Oh
+ PDF Chat	Toward Interactive Regional Understanding in Vision-Large Language Models	2024	Jungbeom Lee Sanghyuk Chun Sangdoo Yun
+ PDF Chat	SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage	2023	Song Park Sanghyuk Chun Byeongho Heo Wonjae Kim Sangdoo Yun
+ PDF Chat	Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts	2023	Dongyoon Han Junsuk Choe Seonghyeok Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Song Seung‐June Oh
+ PDF Chat	Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild	2023	Gyeongsik Moon Hongsuk Choi Sanghyuk Chun Jiyoung Lee Sangdoo Yun
+	Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data	2023	Jang-Hyun Kim Sangdoo Yun Hyun Oh Song
+	SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage	2023	Song Park Sanghyuk Chun Byeongho Heo Wonjae Kim Sangdoo Yun
+	CompoDiff: Versatile Composed Image Retrieval With Latent Diffusion	2023	Geonmo Gu Sanghyuk Chun Wonjae Kim HeeJae Jun Yoohoon Kang Sangdoo Yun
+	Neglected Free Lunch -- Learning Image Classifiers Using Annotation Byproducts	2023	Dongyoon Han Junsuk Choe Seonghyeok Chun John Joon Young Chung Minsuk Chang Sangdoo Yun Jean Song Seung‐June Oh
+	Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild	2023	Gyeongsik Moon Hongsuk Choi Sanghyuk Chun Jiyoung Lee Sangdoo Yun
+	RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models	2023	Seulki Park Daeho Um Hajung Yoon Sanghyuk Chun Sangdoo Yun Jin‐Young Choi
+	What Do Self-Supervised Vision Transformers Learn?	2023	Namuk Park Wonjae Kim Byeongho Heo Taekyung Kim Sangdoo Yun
+	Who Wrote this Code? Watermarking for Code Generation	2023	T. Paul Lee Seok‐Hee Hong Jae‐Woo Ahn Ilgee Hong Hwaran Lee Sangdoo Yun Jamin Shin Gunhee Kim
+	Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models	2023	Geewook Kim Hodong Lee Daehee Kim Haeji Jung Sanghee Park Yoonsik Kim Sangdoo Yun Taeho Kil Bado Lee Seunghyun Park
+	MPCHAT: Towards Multimodal Persona-Grounded Conversation	2023	Jaewoo Ahn Yeda Song Sangdoo Yun Gunhee Kim
+	Augmenting Sub-model to Improve Main Model	2023	Byeongho Heo Taekyung Kim Sangdoo Yun Dongyoon Han
+	ProPILE: Probing Privacy Leakage in Large Language Models	2023	Siwon Kim Sangdoo Yun Hwaran Lee Martin Gubri Sungroh Yoon Seung‐June Oh
+	MPCHAT: Towards Multimodal Persona-Grounded Conversation	2023	Jaewoo Ahn Yeda Song Sangdoo Yun Gunhee Kim
+	Prometheus: Inducing Fine-grained Evaluation Capability in Language Models	2023	Seungone Kim Jamin Shin Yejin Cho Joel Jang Shayne Longpre Hwaran Lee Sangdoo Yun Seongjin Shin Sungdong Kim James Thorne
+	Match me if you can: Semantic Correspondence Learning with Unpaired Images	2023	Jiwon Kim Byeongho Heo Sangdoo Yun Seungryong Kim Dongyoon Han
+	Language-only Efficient Training of Zero-shot Composed Image Retrieval	2023	Geonmo Gu Sanghyuk Chun Wonjae Kim Yoohoon Kang Sangdoo Yun
+	Compressed Context Memory For Online Language Model Interaction	2023	Jang-Hyun Kim Junyoung Yeom Sangdoo Yun Hyun Oh Song
+ PDF Chat	Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models	2023	Geewook Kim Hodong Lee Daehee Kim Haeji Jung Sanghee Park Yoonsik Kim Sangdoo Yun Taeho Kil Bado Lee Seunghyun Park
+ PDF Chat	The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification	2022	Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun Jin Young Choi
+ PDF Chat	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data	2022	Jungbeom Lee Seong Joon Oh Sangdoo Yun Junsuk Choe Eunji Kim Sungroh Yoon
+	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data	2022	Jungbeom Lee Seung‐June Oh Sangdoo Yun Junsuk Choe Eunji Kim Sungroh Yoon
+	Dataset Condensation with Contrastive Signals	2022	Saehyung Lee Sanghyuk Chun Sangwon Jung Sangdoo Yun Sungroh Yoon
+	Dataset Condensation via Efficient Synthetic-Data Parameterization	2022	Jang-Hyun Kim Jinuk Kim Seung‐June Oh Sangdoo Yun Hwanjun Song Joonhyun Jeong Jung-Woo Ha Hyun Oh Song
+	A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective	2022	Chanwoo Park Sangdoo Yun Sanghyuk Chun
+	Group Generalized Mean Pooling for Vision Transformer	2022	Byungsoo Ko Han‐Gyu Kim Byeongho Heo Sangdoo Yun Sanghyuk Chun Geonmo Gu Wonjae Kim
+ PDF Chat	OCR-Free Document Understanding Transformer	2022	Geewook Kim Teakgyu Hong Moonbin Yim Jeongyeon Nam Jinyoung Park Jinyeong Yim Wonseok Hwang Sangdoo Yun Dongyoon Han Seunghyun Park
+	Exploring Temporally Dynamic Data Augmentation for Video Recognition	2022	Taeoh Kim Jin-Hyung Kim Minho Shim Sangdoo Yun Myunggu Kang Dongyoon Wee Sangyoun Lee
+ PDF Chat	Progressive Transmission and Inference of Deep Learning Models	2021	Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi
+	Donut: Document Understanding Transformer without OCR	2021	Geewook Kim Teakgyu Hong Moonbin Yim Jinyoung Park Jinyeong Yim Wonseok Hwang Sangdoo Yun Dongyoon Han Seunghyun Park
+	Progressive Transmission and Inference of Deep Learning Models.	2021	Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi
+ PDF Chat	Normalization Matters in Weakly Supervised Object Localization	2021	Jeesoo Kim Junsuk Choe Sangdoo Yun Nojun Kwak
+ PDF Chat	Rethinking Spatial Dimensions of Vision Transformers	2021	Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh
+ PDF Chat	Rethinking Channel Dimensions for Efficient Model Design	2021	Dongyoon Han Sangdoo Yun Byeongho Heo Youngjoon Yoo
+ PDF Chat	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	2021	Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun
+	Rethinking Spatial Dimensions of Vision Transformers	2021	Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh
+ PDF Chat	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	2021	Sangdoo Yun Seung‐June Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun
+	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	2021	Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun
+	Rethinking Spatial Dimensions of Vision Transformers	2021	Byeongho Heo Sangdoo Yun Dongyoon Han Sanghyuk Chun Junsuk Choe Seong Joon Oh
+	Normalization Matters in Weakly Supervised Object Localization	2021	Jeesoo Kim Junsuk Choe Sangdoo Yun Nojun Kwak
+	Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective	2021	Luca Scimeca Seong Joon Oh Sanghyuk Chun Michael Poli Sangdoo Yun
+	Observations on K-image Expansion of Image-Mixing Augmentation for Classification	2021	Joonhyun Jeong Sungmin Cha Youngjoon Yoo Sangdoo Yun Taesup Moon Jongwon Choi
+	The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification	2021	Seulki Park Youngkyu Hong Byeongho Heo Sangdoo Yun Jin‐Young Choi
+	OCR-free Document Understanding Transformer	2021	Geewook Kim Teakgyu Hong Moonbin Yim Jeongyeon Nam Jinyoung Park Jinyeong Yim Wonseok Hwang Sangdoo Yun Dongyoon Han Seunghyun Park
+	Progressive Transmission and Inference of Deep Learning Models	2021	Youngsoo Lee Sangdoo Yun Yeonghun Kim Sunghee Choi
+	Influential Rank: A New Perspective of Post-training for Robust Model against Noisy Labels	2021	Seulki Park Hwanjun Song Daeho Um Dae Ung Jo Sangdoo Yun Jin‐Young Choi
+	ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network.	2020	Dongyoon Han Sangdoo Yun Byeongho Heo Young Joon Yoo
+	Slowing Down the Weight Norm Increase in Momentum-based Optimizers	2020	Byeongho Heo Sanghyuk Chun Seong Joon Oh Dongyoon Han Sangdoo Yun Youngjung Uh Jung-Woo Ha
+	An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods	2020	Sanghyuk Chun Seong Joon Oh Sangdoo Yun Dongyoon Han Junsuk Choe Youngjoon Yoo
+	AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights	2020	Byeongho Heo Sanghyuk Chun Seong Joon Oh Dongyoon Han Sangdoo Yun Gyuwan Kim Youngjung Uh Jung-Woo Ha
+	VideoMix: Rethinking Data Augmentation for Video Classification	2020	Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Jinhyung Kim
+	Rethinking Channel Dimensions for Efficient Model Design	2020	Dongyoon Han Sangdoo Yun Byeongho Heo Youngjoon Yoo
+ PDF Chat	A Comprehensive Overhaul of Feature Distillation	2019	Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak Jin Young Choi
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe
+ PDF Chat	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis	2019	Jeonghun Baek Geewook Kim Junyeop Lee Sungrae Park Dongyoon Han Sangdoo Yun Seong Joon Oh Hwalsuk Lee
+	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold	2019	Youngjoon Yoo Sangdoo Yun Hyung Jin Chang Yiannis Demiris Jin Young Choi
+ PDF Chat	Knowledge Distillation with Adversarial Samples Supporting Decision Boundary	2019	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi
+ PDF Chat	Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons	2019	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi
+ PDF Chat	Character Region Awareness for Text Detection	2019	Youngmin Baek Bado Lee Dongyoon Han Sangdoo Yun Hwalsuk Lee
+	What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis	2019	Jeonghun Baek Geewook Kim Junyeop Lee Sungrae Park Dongyoon Han Sangdoo Yun Seong Joon Oh Hwalsuk Lee
+	A Comprehensive Overhaul of Feature Distillation	2019	Byeongho Heo Jeesoo Kim Sangdoo Yun Hyojin Park Nojun Kwak Jin Young Choi
+	Character Region Awareness for Text Detection	2019	Youngmin Baek Bado Lee Dongyoon Han Sangdoo Yun Hwalsuk Lee
+	CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features	2019	Sangdoo Yun Dongyoon Han Seong Joon Oh Sanghyuk Chun Junsuk Choe Youngjoon Yoo
+	EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse	2019	Young Joon Yoo Dongyoon Han Sangdoo Yun
+	Neural Approximation of an Auto-Regressive Process through Confidence Guided Sampling	2019	Youngjoon Yoo Sanghyuk Chun Jaejun Yoo Sangdoo Yun Jung-Woo Ha
+	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold	2019	Youngjoon Yoo Sangdoo Yun Hyung Jin Chang Yiannis Demiris Jin Young Choi
+	Learning De-biased Representations with Biased Representations	2019	Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seung‐June Oh
+	Concentrated-Comprehensive Convolutions for lightweight semantic segmentation	2018	Hyojin Park Youngjoon Yoo Geonseok Seo Dongyoon Han Sangdoo Yun Nojun Kwak
+	C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation	2018	Hyojin Park Youngjoon Yoo Geonseok Seo Dongyoon Han Sangdoo Yun Nojun Kwak
+ PDF Chat	Context-Aware Deep Feature Compression for High-Speed Visual Tracking	2018	Jongwon Choi Hyung Jin Chang Tobias Fischer Sangdoo Yun Kyuewang Lee Jiyeoup Jeong Yiannis Demiris Jin Young Choi
+	Improving Knowledge Distillation with Supporting Adversarial Samples	2018	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi
+ PDF Chat	Unsupervised Holistic Image Generation from Key Local Patches	2018	Dong‐Hoon Lee Sangdoo Yun Sungjoon Choi Hwiyeon Yoo Ming–Hsuan Yang Songhwai Oh
+	Knowledge Distillation with Adversarial Samples Supporting Decision Boundary	2018	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi
+	Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons	2018	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi
+	C3: Concentrated-Comprehensive Convolution and its application to semantic segmentation	2018	Hyojin Park Youngjoon Yoo Geonseok Seo Dongyoon Han Sangdoo Yun Nojun Kwak
+ PDF Chat	Variational Autoencoded Regression: High Dimensional Regression of Visual Data on Complex Manifold	2017	Youngjoon Yoo Sangdoo Yun Hyung Jin Chang Yiannis Demiris Jin Young Choi
+	Unsupervised Holistic Image Generation from Key Local Patches	2017	Dong‐Hoon Lee Sangdoo Yun Sungjoon Choi Hwiyeon Yoo Ming–Hsuan Yang Songhwai Oh
+	Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation	2017	Young Joon Yoo Seonguk Park Junyoung Choi Sangdoo Yun Nojun Kwak
+	Unsupervised Holistic Image Generation from Key Local Patches	2017	Dong‐Hoon Lee Sangdoo Yun Sungjoon Choi Hwiyeon Yoo Ming–Hsuan Yang Songhwai Oh

Common Coauthors

Coauthor	Papers Together
Dongyoon Han	33
Sanghyuk Chun	28
Byeongho Heo	28
Seong Joon Oh	17
Junsuk Choe	15
Youngjoon Yoo	13
Jin Young Choi	11
Wonjae Kim	8
Nojun Kwak	8
Seung‐June Oh	8
Hwaran Lee	7
Geewook Kim	7
Minsik Lee	5
Hyojin Park	5
Seunghyun Park	5
Gunhee Kim	4
Seulki Park	4
Hwalsuk Lee	4
Jung-Woo Ha	4
Sungjoon Choi	4
Bado Lee	4
Sungroh Yoon	4
Martin Gubri	4
Yiannis Demiris	4
Hyung Jin Chang	4
Jeesoo Kim	4
Taekyung Kim	3
Young Joon Yoo	3
Jinyeong Yim	3
Hwiyeon Yoo	3
Geonseok Seo	3
Teakgyu Hong	3
Youngsoo Lee	3
Dong‐Hoon Lee	3
Jinyoung Park	3
Jin‐Young Choi	3
Jungbeom Lee	3
Wonseok Hwang	3
Yeonghun Kim	3
Songhwai Oh	3
Hyun Oh Song	3
Ming–Hsuan Yang	3
Geonmo Gu	3
Daeho Um	2
Yoohoon Kang	2
Taeho Kil	2
John Joon Young Chung	2
Seonghyeok Chun	2
Jongwon Choi	2
Gyeongsik Moon	2

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	36
+ 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	23
+ 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	19
+	NSML: Meet the MLaaS platform with a real-world case study	2018	Hanjoo Kim Minkyu Kim Dongjoo Seo Jinwoong Kim Heungseok Park Soeun Park Hyun‐Woo Jo KyungHyun Kim Youngil Yang Youngkwan Kim	18
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	13
+ PDF Chat	Deep Pyramidal Residual Networks	2017	Dongyoon Han Jiwhan Kim Junmo Kim	13
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	13
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	13
+	SSD: Single Shot MultiBox Detector	2016	Wei Liu Dragomir Anguelov Dumitru Erhan Christian Szegedy Scott Reed Cheng-Yang Fu Alexander C. Berg	13
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	12
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	11
+ PDF Chat	CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features	2019	Sangdoo Yun Dongyoon Han Sanghyuk Chun Seong Joon Oh Youngjoon Yoo Junsuk Choe	11
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	10
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	10
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	9
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	9
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	8
+	Improved Regularization of Convolutional Neural Networks with Cutout	2017	Terrance DeVries Graham W. Taylor	8
+ PDF Chat	Deep Networks with Stochastic Depth	2016	Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger	8
+ PDF Chat	Aggregated Residual Transformations for Deep Neural Networks	2017	Saining Xie Ross Girshick Piotr Dollár Zhuowen Tu Kaiming He	8
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	8
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	7
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	7
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	7
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba	7
+	EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks	2019	Mingxing Tan Quoc V. Le	7
+	FitNets: Hints for Thin Deep Nets	2014	Adriana Romero Nicolas Ballas Samira Ebrahimi Kahou Antoine Chassang Carlo Gatta Yoshua Bengio	6
+ PDF Chat	Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels	2021	Sangdoo Yun Seong Joon Oh Byeongho Heo Dongyoon Han Junsuk Choe Sanghyuk Chun	6
+ PDF Chat	Synthetic Data for Text Localisation in Natural Images	2016	Ankush Gupta Andrea Vedaldi Andrew Zisserman	6
+	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer	2016	Sergey Zagoruyko Nikos Komodakis	6
+ PDF Chat	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	5
+	Explaining and Harnessing Adversarial Examples	2014	Ian Goodfellow Jonathon Shlens Christian Szegedy	5
+	mixup: Beyond Empirical Risk Minimization	2017	Hongyi Zhang Moustapha Cissé Yann Dauphin David López-Paz	5
+ PDF Chat	Do Better ImageNet Models Transfer Better?	2019	Simon Kornblith Jonathon Shlens Quoc V. Le	5
+ PDF Chat	Identity Mappings in Deep Residual Networks	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices	2018	Xiangyu Zhang Xinyu Zhou Mengxiao Lin Jian Sun	5
+	Fixing the train-test resolution discrepancy	2019	Hugo Touvron Andrea Vedaldi Matthijs Douze Hervé Jeǵou	5
+ PDF Chat	Evaluating Weakly Supervised Object Localization Methods Right	2020	Junsuk Choe Seong Joon Oh Seungho Lee Sanghyuk Chun Zeynep Akata Hyunjung Shim	5
+ PDF Chat	Feature Pyramid Networks for Object Detection	2017	Tsung-Yi Lin Piotr Dollár Ross Girshick Kaiming He Bharath Hariharan Serge Belongie	5
+	ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware	2018	Han Cai Ligeng Zhu Song Han	5
+	Natural Adversarial Examples	2019	Dan Hendrycks Kevin Zhao Steven Basart Jacob Steinhardt Dawn Song	5
+ PDF Chat	Squeeze-and-Excitation Networks	2018	Jie Hu Li Shen Gang Sun	5
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	5
+	Towards Deep Learning Models Resistant to Adversarial Attacks.	2018	Aleksander Mądry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu	5
+ PDF Chat	Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	2018	Liang-Chieh Chen Yukun Zhu George Papandreou Florian Schroff Hartwig Adam	5
+ PDF Chat	Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons	2019	Byeongho Heo Minsik Lee Sangdoo Yun Jin Young Choi	4
+	Fine-Grained Visual Classification of Aircraft	2013	Subhransu Maji Esa Rahtu Juho Kannala Matthew B. Blaschko Andrea Vedaldi	4
+ PDF Chat	Robust Scene Text Recognition with Automatic Rectification	2016	Baoguang Shi Xinggang Wang Pengyuan Lyu Cong Yao Xiang Bai	4
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	4
+ PDF Chat	DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs	2017	Liang-Chieh Chen George Papandreou Iasonas Kokkinos Kevin Murphy Alan Yuille	4