Zero-Shot Learning相关资源大列表

2019 年 1 月 1 日 专知
Zero-Shot Learning相关资源大列表

【导读】前几天深度学习工程师Shrisha Bharadwaj在Github罗列了Zero-Shot Learning相关资源大列表,主要是零样本物体识别系列,列出了近几年顶级会议上关于这一话题的相关论文,零样本学习系列还有其他话题,作者应该还会继续更新,期待中。



请关注专知公众号(扫一扫最下面专知二维码,或者点击上方蓝色专知

  • 后台回复“ZSOC2018” 就可以获取零样本物体识别2018年论文集pdf的下载链接~ 

  • 专知2019年1月将开设一门《深度学习:算法到实战》讲述相关ML2018论文,欢迎关注报名!

专知开课啦!《深度学习: 算法到实战》, 中科院博士为你讲授!


链接:

https://github.com/chichilicious/awesome-zero-shot-learning

Zero-Shot Object Classification(零样本物体识别)

Papers

NeurIPS 2018

  • DCN: Shichen Liu, Mingsheng Long, Jianmin Wang, Michael I. Jordan."Generalized Zero-Shot Learning with Deep Calibration Network" NeurIPS (2018) [pdf]

  • S2GA: Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang."Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning." NeurIPS (2018) [pdf]

  • DIPL: An Zhao, Mingyu Ding, Jiechao Guan, Zhiwu Lu, Tao Xiang, Ji-Rong Wen "Domain-Invariant Projection Learning for Zero-Shot Recognition." NeurIPS (2018) [pdf]

ECCV 2018

  • SZSL: Jie Song, Chengchao Shen, Jie Lei, An-Xiang Zeng, Kairi Ou, Dacheng Tao, Mingli Song. "Selective Zero-Shot Classification with Augmented Attributes." ECCV (2018). [pdf]

  • LCP-SA: Huajie Jiang, Ruiping Wang, Shiguang Shan, Xilin Chen. "Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition." ECCV (2018). [pdf]

  • MC-ZSL: Rafael Felix, Vijay Kumar B. G., Ian Reid, Gustavo Carneiro. "Multi-modal Cycle-consistent Generalized Zero-Shot Learning." ECCV (2018). [pdf] [code]

CVPR 2018

  • GCN: Xiaolong Wang, Yufei Ye, Abhinav Gupta. "Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs." CVPR (2018). [pdf] [code]

  • PSR: Yashas Annadani, Soma Biswas. "Preserving Semantic Relations for Zero-Shot Learning." CVPR (2018). [pdf]

  • GAN-NT: Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal. "A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts." CVPR (2018). [pdf]

  • TUE: Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song. "Transductive Unbiased Embedding for Zero-Shot Learning." CVPR (2018). [pdf]

  • SP-AEN: Long Chen, Hanwang Zhang, Jun Xiao, Wei Liu, Shih-Fu Chang. "Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks." CVPR (2018). [pdf] [code]

  • ML-SKG: Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang. "Multi-Label Zero-Shot Learning With Structured Knowledge Graphs." CVPR (2018). [pdf] [project]

  • GZSL-SE: Vinay Kumar Verma, Gundeep Arora, Ashish Mishra, Piyush Rai. "Generalized Zero-Shot Learning via Synthesized Examples." CVPR (2018). [pdf]

  • FGN: Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata. "Feature Generating Networks for Zero-Shot Learning." CVPR (2018). [pdf] [code] [project]

  • LDF: Yan Li, Junge Zhang, Jianguo Zhang, Kaiqi Huang. "Discriminative Learning of Latent Features for Zero-Shot Recognition." CVPR (2018). [pdf]

  • WSL: Li Niu, Ashok Veeraraghavan, and Ashu Sabharwal. "Webly Supervised Learning Meets Zero-shot Learning: A Hybrid Approach for Fine-grained Classification." CVPR (2018). [pdf]

TPAMI 2018

  • C-GUB: Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata. "Zero-shot learning-A comprehensive evaluation of the good, the bad and the ugly." TPAMI (2018). [pdf] [project]

ICCV 2017

  • A2C: Berkan Demirel, Ramazan Gokberk Cinbis, Nazli Ikizler-Cinbis. "Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning." ICCV (2017). [pdf] [code]

  • PVE: Soravit Changpinyo, Wei-Lun Chao, Fei Sha. "Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning." ICCV (2017). [pdf][code]

  • LDL: Huajie Jiang, Ruiping Wang, Shiguang Shan, Yi Yang, Xilin Chen. "Learning Discriminative Latent Attributes for Zero-Shot Classification." ICCV (2017). [pdf]]

CVPR 2017

  • GUB: Yongqin Xian, Bernt Schiele, Zeynep Akata. "Zero-Shot learning - The Good, the Bad and the Ugly." CVPR (2017). [pdf] [code]

  • Deep-SCoRe: Pedro Morgado, Nuno Vasconcelos."Semantically Consistent Regularization for Zero-Shot Recognition." CVPR (2017). [pdf] [code]

  • DEM: Li Zhang, Tao Xiang, Shaogang Gong. "Learning a Deep Embedding Model for Zero-Shot Learning." CVPR (2017). [pdf] [code]

  • VDS: Yang Long, Li Liu, Ling Shao, Fumin Shen, Guiguang Ding, Jungong Han. "From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis." CVPR (2017). [pdf]

  • ESD: Zhengming Ding, Ming Shao, Yun Fu. "Low-Rank Embedded Ensemble Semantic Dictionary for Zero-Shot Learning." CVPR (2017). [pdf]

  • SAE: Elyor Kodirov, Tao Xiang, Shaogang Gong. "Semantic Autoencoder for Zero-Shot Learning." CVPR (2017). [pdf] [code]

  • DVSM: Yanan Li, Donghui Wang, Huanhang Hu, Yuetan Lin, Yueting Zhuang. "Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths". CVPR (2017). [pdf]

  • MTF-MR: Xing Xu, Fumin Shen, Yang Yang, Dongxiang Zhang, Heng Tao Shen, Jingkuan Song. "Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning." CVPR (2017). [pdf]

CVPR 2016

  • MC-ZSL: Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele. "Multi-Cue Zero-Shot Learning With Strong Supervision." CVPR (2016). [pdf]

  • LATEM: Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele. "Latent Embeddings for Zero-Shot Classification." CVPR (2016). [pdf][code]

  • LIM: Ruizhi Qiao, Lingqiao Liu, Chunhua Shen, Anton van den Hengel. "Less Is More: Zero-Shot Learning From Online Textual Documents With Noise Suppression." CVPR (2016). [pdf]

  • SYNC: Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha. "Synthesized Classifiers for Zero-Shot Learning." CVPR (2016). [pdf][code]

  • RML: Ziad Al-Halah, Makarand Tapaswi, Rainer Stiefelhagen. "Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning." CVPR (2016). [pdf]

  • SLE: Ziming Zhang, Venkatesh Saligrama. "Zero-Shot Learning via Joint Latent Similarity Embedding." CVPR (2016). [pdf] [code]

ECCV 2016

  • Wei-Lun Chao, Soravit Changpinyo, Boqing Gong2, Fei Sha. "An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild." ECCV (2016). [pdf]

  • MTE: Xun Xu, Timothy M. Hospedales, Shaogang Gong. "Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation." ECCV (2016). [pdf]

  • Ziming Zhang, Venkatesh Saligrama."Zero-Shot Recognition via Structured Prediction." ECCV (2016). [pdf]

  • Maxime Bucher, Stephane Herbin, Frederic Jurie."Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classification." ECCV (2016). [pdf]

CVPR 2015

  • Zhenyong Fu, Tao Xiang, Elyor Kodirov, Shaogang Gong. "Zero-Shot Object Recognition by Semantic Manifold Distance." CVPR (2015). [pdf]

NIPS 2014, 2013, 2009

  • Dinesh Jayram, Kristen Grauman."Zero-Shot Recognition with Unreliable Attributes" NIPS (2014) [pdf]

  • Richard Socher, Milind Ganjoo, Christopher D. Manning, Andrew Y. Ng. "Zero-Shot Learning Through Cross-Modal Transfer" NIPS (2013) [pdf]

  • DeViSE: Andrea Frome, Greg S. Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, Tomas Mikolov."DeViSE: A Deep Visual-Semantic Embedding Model" NIPS (2013) [pdf]

  • Mark Palatucci, Dean Pomerleau, Geoffrey Hinton, Tom M. Mitchell. "Zero-Shot Learning with Semantic Output Codes" NIPS (2009) [pdf]

Other Papers

  • AEZSL: "Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement" IEEE SPS (2018). [pdf]

  • ZSGD: Tiancheng Zhao, Maxine Eskenazi. "Zero-Shot Dialog Generation with Cross-Domain Latent Actions" SIGDIAL (2018). [pdf] [code]

  • Recent Advances in Zero-shot Recognition [arXiv, 2017]

  • Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing "Rethinking Knowledge Graph Propagation for Zero-Shot Learning" arXiv (2018). [pdf] [code]

  • An embarrassingly simple approach to zero-shot learning [ICML, 2015] (Code)

Datasets

  • Large-scale attribute Dataset

Other resources

  • https://medium.com/@alitech_2017/from-zero-to-hero-shaking-up-the-field-of-zero-shot-learning-c43208f71332

  • https://www.analyticsindiamag.com/what-is-zero-shot-learning/

  • https://medium.com/@cetinsamet/zero-shot-learning-53080995d45f



专 · 知


   专知开课啦!《深度学习: 算法到实战》, 中科院博士为你讲授!

请加专知小助手微信(扫一扫如下二维码添加),咨询《深度学习:算法到实战》参团限时优惠报名~

欢迎微信扫一扫加入专知人工智能知识星球群,获取专业知识教程视频资料和与专家交流咨询!

请PC登录www.zhuanzhi.ai或者点击阅读原文,注册登录专知,获取更多AI知识资料!

点击“阅读原文”,了解报名专知《深度学习:算法到实战》课程

登录查看更多
42

相关内容

零次学习是AI识别方法之一。简单来说就是识别从未见过的数据类别,即训练的分类器不仅仅能够识别出训练集中已有的数据类别,还可以对于来自未见过的类别的数据进行区分。这是一个很有用的功能,使得计算机能够具有知识迁移的能力,并无需任何训练数据,很符合现实生活中海量类别的存在形式。

We present one-shot federated learning, where a central server learns a global model over a network of federated devices in a single round of communication. Our approach - drawing on ensemble learning and knowledge aggregation - achieves an average relative gain of 51.5% in AUC over local baselines and comes within 90.1% of the (unattainable) global ideal. We discuss these methods and identify several promising directions of future work.

0
6
下载
预览
小贴士
相关资讯
【资源】机器学习资源大列表
专知
48+阅读 · 2019年10月16日
元学习(Meta Learning)最全论文、视频、书籍资源整理
深度学习与NLP
14+阅读 · 2019年6月20日
Github项目推荐 | 图神经网络(GNN)相关资源大列表
人脸相关算法、数据集、文献资源大列表
专知
16+阅读 · 2019年3月16日
领域自适应学习论文大列表
专知
56+阅读 · 2019年3月2日
图像分类论文与代码大列表
专知
6+阅读 · 2019年2月16日
【推荐】SLAM相关资源大列表
机器学习研究会
10+阅读 · 2017年8月18日
相关论文
A Survey on Bayesian Deep Learning
Hao Wang,Dit-Yan Yeung
38+阅读 · 2020年7月2日
Matthias Fey,Jan-Gin Yuen,Frank Weichert
4+阅读 · 2020年6月22日
Meta-Transfer Learning for Zero-Shot Super-Resolution
Jae Woong Soh,Sunwoo Cho,Nam Ik Cho
25+阅读 · 2020年2月27日
Yash Srivastava,Vaishnav Murali,Shiv Ram Dubey,Snehasis Mukherjee
4+阅读 · 2019年8月27日
One-Shot Federated Learning
Neel Guha,Ameet Talwalkar,Virginia Smith
6+阅读 · 2019年3月5日
Claudio Gambella,Bissan Ghaddar,Joe Naoum-Sawaya
7+阅读 · 2019年1月16日
Learning Embedding Adaptation for Few-Shot Learning
Han-Jia Ye,Hexiang Hu,De-Chuan Zhan,Fei Sha
8+阅读 · 2018年12月10日
Adversarial Transfer Learning
Garrett Wilson,Diane J. Cook
9+阅读 · 2018年12月6日
Khuong Vo,Dang Pham,Mao Nguyen,Trung Mai,Tho Quan
3+阅读 · 2018年6月22日
Chung-Wei Lee,Wei Fang,Chih-Kuan Yeh,Yu-Chiang Frank Wang
7+阅读 · 2018年5月26日
Top