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Several approaches have been proposed in recent literature to alleviate the long-tail problem, mainly in object classification tasks.
The population frequencies of species and the estimation of population parameters
I. J. Good · 1953
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On a class of skew distribution functions
Herbert A. Simon · 1955
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Word association norms, mutual information, and lexicography
Kenneth Ward Church and Patrick Hanks · 1990
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Wordnet: a lexical database for english
George A Miller · 1995
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Hubs in space: Popular nearest neighbors in high-dimensional data
Miloš Radovanović, Alexandros Nanopoulos, and Mirjana Ivanović · 2010
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The battle against the long tail
Samy Bengio · 2011
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Learning to share visual appearance for multiclass object detection
Ruslan Salakhutdinov, Antonio Torralba, and Josh Tenenbaum · 2011
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Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton · 2012
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
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Improving zero-shot learning by mitigating the hubness problem
Georgiana Dinu, Angeliki Lazaridou, and Marco Baroni · 2014
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Multimodal neural language models
Ryan Kiros, Ruslan Salakhutdinov, and Rich Zemel · 2014
Earlier work this paper cites.
Capturing long-tail distributions of object subcategories
Xiangxin Zhu, Dragomir Anguelov, and Deva Ramanan · 2014
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Hubness and pollution: Delving into cross-space mapping for zero-shot learning
Angeliki Lazaridou, Georgiana Dinu, and Marco Baroni · 2015
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Deep learning face attributes in the wild
Ziwei Liu, Ping Luo, Xiaogang Wang, and Xiaoou Tang · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Order-embeddings of images and language
Ivan Vendrov, Ryan Kiros, Sanja Fidler, and Raquel Urtasun · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Cited alongside, same era.
Densecap: Fully convolutional localization networks for dense captioning
Justin Johnson, Andrej Karpathy, and Li Fei-Fei · 2016
Cited alongside, same era.
Visual relationship detection with language priors
Cewu Lu, Ranjay Krishna, Michael Bernstein, and Li Fei-Fei · 2016
Cited alongside, same era.
Factors in finetuning deep model for object detection with long-tail distribution
Wanli Ouyang, Xiaogang Wang, Cong Zhang, and Xiaokang Yang · 2016
Cited alongside, same era.
Do we need more training data?
Xiangxin Zhu, Carl Vondrick, Charless C Fowlkes, and Deva Ramanan · 2016
Cited alongside, same era.
Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham Taylor · 2017
Cited alongside, same era.
Relationship proposal networks
Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, and Ahmed Elgammal · 2017
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Vse++: Improving visual-semantic embeddings with hard negatives
Fartash Faghri, David J Fleet, Jamie Ryan Kiros, and Sanja Fidler · 2018
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Meta-learning for semi-supervised few-shot classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B Tenenbaum, Hugo Larochelle, and Richard S Zemel · 2018
Later among the works it cites.
Zero-shot learning-a comprehensive evaluation of the good, the bad and the ugly
Yongqin Xian, Christoph H Lampert, Bernt Schiele, and Zeynep Akata · 2018
Later among the works it cites.
Feature generating networks for zero-shot learning
Yongqin Xian, Tobias Lorenz, Bernt Schiele, and Zeynep Akata · 2018
Later among the works it cites.
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Densely connected convolutional networks
Gao Huang, Zhuang Liu, Laurens Van Der Maaten, and Kilian Q Weinberger · 2017
Cited alongside, same era.
Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
Cited alongside, same era.
Vip-cnn: Visual phrase guided convolutional neural network
Yikang Li, Wanli Ouyang, Xiaogang Wang, and Xiao’ou Tang · 2017
Cited alongside, same era.
Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Cited alongside, same era.
Phrase localization and visual relationship detection with comprehensive image-language cues
Bryan A Plummer, Arun Mallya, Christopher M Cervantes, Julia Hockenmaier, and Svetlana Lazebnik · 2017
Cited alongside, same era.
Offline bilingual word vectors, orthogonal transformations and the inverted softmax
Samuel L Smith, David HP Turban, Steven Hamblin, and Nils Y Hammerla · 2017
Cited alongside, same era.
Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz · 2018
Later among the works it cites.
Metagan: An adversarial approach to few-shot learning
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, and Yangqiu Song · 2018
Later among the works it cites.
Hubless nearest neighbor search for bilingual lexicon induction
Jiaji Huang, Qiang Qiu, and Kenneth Church · 2019
Later among the works it cites.
Gqa: a new dataset for compositional question answering over real-world images
Drew A Hudson and Christopher D Manning · 2019
Later among the works it cites.
Large-scale long-tailed recognition in an open world
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, and Stella X Yu · 2019
Later among the works it cites.
Manifold mixup: Better representations by interpolating hidden states
Vikas Verma, Alex Lamb, Christopher Beckham, Amir Najafi, Ioannis Mitliagkas, David Lopez-Paz, and Yoshua Bengio · 2019
Later among the works it cites.
Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, and Junsuk Choe · 2019
Later among the works it cites.
Large-scale visual relationship understanding
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, and Mohamed Elhoseiny · 2019
Later among the works it cites.
Decoupling representation and classifier for long-tailed recognition
Bingyi Kang, Saining Xie, Marcus Rohrbach, Zhicheng Yan, Albert Gordo, Jiashi Feng, and Yannis Kalantidis · 2020
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The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
Alina Kuznetsova, Hassan Rom, Neil Alldrin, Jasper Uijlings, Ivan Krasin, Jordi Pont-Tuset, Shahab Kamali, Stefan Popov, Matteo Malloci, Alexander Kolesnikov, Tom Duerig, and Vittorio Ferrari · 2020
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Towards recognizing unseen categories in unseen domains
Massimiliano Mancini, Zeynep Akata, Elisa Ricci, and Barbara Caputo · 2020
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Equalization loss for long-tailed object recognition
J. Tan, C. Wang, B. Li, Q. Li, W. Ouyang, C. Yin, and J. Yan · 2020
Closest in time.