Junde Xu

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All published works

Action	Title	Year	Authors
+ PDF Chat	DPPMask: Masked Image Modeling with Determinantal Point Processes	2024	Junde Xu Zikai Lin Donghao Zhou Yaodong Yang Xiangyun Liao Qiong Wang Bian Wu Guangyong Chen Pheng‐Ann Heng

Common Coauthors

Coauthor	Papers Together
Xiangyun Liao	1
Pheng‐Ann Heng	1
Zikai Lin	1
Yaodong Yang	1
Qiong Wang	1
Donghao Zhou	1
Guangyong Chen	1
Bian Wu	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Unsupervised Learning of Spatiotemporally Coherent Metrics	2015	Ross Goroshin Joan Bruna Jonathan Tompson David Eigen Yann LeCun	1
+	The coincidence approach to stochastic point processes	1975	Odile Macchi	1
+	An Exact Algorithm for Maximum Entropy Sampling	1995	Chun-Wa Ko Jon Lee Maurice Queyranne	1
+ 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	1
+ PDF Chat	Determinantal Point Processes for Machine Learning	2012	Alex Kulesza	1
+	Near-Optimal MAP Inference for Determinantal Point Processes	2012	Jennifer Gillenwater Alex Kulesza Ben Taskar	1
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	1
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	1
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	1
+ PDF Chat	Self-Supervised Video Representation Learning with Odd-One-Out Networks	2017	Basura Fernando Hakan Bilen Efstratios Gavves Stephen Jay Gould	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	Learning Features by Watching Objects Move	2017	Deepak Pathak Ross Girshick Piotr Dollár Trevor Darrell Bharath Hariharan	1
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	1
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis	1
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	A determinantal point process for column subset selection	2018	Ayoub Belhadji R. Bardenet Pierre Chainais	1
+	Decoupled Weight Decay Regularization	2017	Ilya Loshchilov Frank Hutter	1
+	Proceedings of the 25th international conference on Machine learning	2008	William W. Cohen Andrew McCallum Sam T. Roweis	1
+	Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity	2017	Laming Chen Guoxin Zhang Hanning Zhou	1
+	Microsoft COCO: Common Objects in Context	2014	Tsung-Yi Lin Michael Maire Serge Belongie Lubomir Bourdev Ross Girshick James Hays Pietro Perona Deva Ramanan C. Lawrence Zitnick Piotr Dollár	1
+	SGDR: Stochastic Gradient Descent with Warm Restarts	2016	Ilya Loshchilov Frank Hutter	1
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	1
+ PDF Chat	Transitive Invariance for Self-Supervised Visual Representation Learning	2017	Xiaolong Wang Kaiming He Abhinav Gupta	1
+ PDF Chat	Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning	2019	Chen Wei Lingxi Xie Xutong Ren Yingda Xia Chi Su Jiaying Liu Qi Tian Alan Yuille	1
+	RoBERTa: A Robustly Optimized BERT Pretraining Approach	2019	Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy Mike Lewis Luke Zettlemoyer Veselin Stoyanov	1
+ 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	1
+	Determinantal Point Processes for Coresets	2018	Nicolas Tremblay Simon Barthelmé Pierre‐Olivier Amblard	1
+	What Makes for Good Views for Contrastive Learning?	2020	Yonglong Tian Chen Sun Ben Poole Dilip Krishnan Cordelia Schmid Phillip Isola	1
+ PDF Chat	Determinantal Point Processes for Image Processing	2021	Claire Launay Agnès Desolneux Bruno Galerne	1
+ PDF Chat	Momentum Contrast for Unsupervised Visual Representation Learning	2020	Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross Girshick	1
+ PDF Chat	Randaugment: Practical automated data augmentation with a reduced search space	2020	Ekin D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le	1
+	Unsupervised Learning of Visual Features by Contrasting Cluster Assignments	2020	Mathilde Caron Ishan Misra Julien Mairal Priya Goyal Piotr Bojanowski Armand Joulin	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+	Noise or Signal: The Role of Image Backgrounds in Object Recognition	2020	Kai Xiao Logan Engstrom Andrew Ilyas Aleksander Mądry	1
+ PDF Chat	Spatiotemporal Contrastive Video Representation Learning	2021	Rui Qian Tianjian Meng Boqing Gong Ming–Hsuan Yang Huisheng Wang Serge Belongie Yin Cui	1
+ PDF Chat	Emerging Properties in Self-Supervised Vision Transformers	2021	Mathilde Caron Hugo Touvron Ishan Misra Hervé Jeǵou Julien Mairal Piotr Bojanowski Armand Joulin	1
+ PDF Chat	A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning	2021	Christoph Feichtenhofer Haoqi Fan Bo Xiong Ross Girshick Kaiming He	1
+	BEiT: BERT Pre-Training of Image Transformers	2021	Hangbo Bao Dong Li Furu Wei	1
+ PDF Chat	Exploring Simple Siamese Representation Learning	2021	Xinlei Chen Kaiming He	1
+	iBOT: Image BERT Pre-Training with Online Tokenizer	2021	Jinghao Zhou Wei Chen Huiyu Wang Wei Shen Cihang Xie Alan Yuille Tao Kong	1
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	1
+ PDF Chat	Asymmetric Loss For Multi-Label Classification	2021	Tal Ridnik Emanuel Ben-Baruch Nadav Zamir Asaf Noy Itamar Friedman Matan Protter Lihi Zelnik‐Manor	1
+	SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders	2022	Gang Li Heliang Zheng Daqing Liu Chaoyue Wang Bing Su Changwen Zheng	1
+	SiT: Self-supervised vIsion Transformer	2021	Sara Atito Muhammad Awais Josef Kittler	1
+	ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators	2020	Kevin Clark Minh-Thang Luong Quoc V. Le Christopher D. Manning	1
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	1
+	How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders	2022	Qi Zhang Yifei Wang Yisen Wang	1
+ PDF Chat	What to Hide from Your Students: Attention-Guided Masked Image Modeling	2022	Ioannis Kakogeorgiou Spyros Gidaris Bill Psomas Yannis Avrithis Andrei Bursuc Κωνσταντίνος Καράντζαλος Nikos Komodakis	1
+ PDF Chat	Masked Feature Prediction for Self-Supervised Visual Pre-Training	2022	Chen Wei Haoqi Fan Saining Xie Chao-Yuan Wu Alan Yuille Christoph Feichtenhofer	1