Fetching the paper…
Reading the bibliography…
Online media outlets adopt clickbait techniques to lure readers to click on articles in a bid to expand their reach and subsequently increase revenue through ad monetization.
Federated reinforcement learning
Hankz Hankui Zhuo, Wenfeng Feng, Qian Xu, Qiang Yang, and Yufeng Lin. 2019 · 1901
Earlier work this paper cites.
How accurate are the headlines?
F. T. Marquez. 1980 · 1980
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Learning phrase representations using RNN encoder-decoder for statistical machine translation
Kyunghyun Cho, Bart van Merrienboer, Çaglar Gülçehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Convolutional neural networks for sentence classification
Yoon Kim. 2014 · 2014
Earlier work this paper cites.
Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Stop clickbait: Detecting and preventing clickbaits in online news media
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. 2016 · 2016
Earlier work this paper cites.
Federated learning of deep networks using model averaging
H. Brendan McMahan, Eider Moore, Daniel Ramage, and Blaise Agüera y Arcas. 2016 · 2016
Cited alongside, same era.
Hierarchical attention networks for document classification
Zichao Yang, Diyi Yang, Chris Dyer, Xiaodong He, Alexander J. Smola, and Eduard H. Hovy. 2016 · 2016
Cited alongside, same era.
We used neural networks to detect clickbaits: You won’t believe what happened next!
Ankesh Anand, Tanmoy Chakraborty, and Noseong Park. 2017 · 2017
Cited alongside, same era.
Tabloids in the era of social media?: Understanding the production and consumption of clickbaits in twitter
Abhijnan Chakraborty, Rajdeep Sarkar, Ayushi Mrigen, and Niloy Ganguly. 2017 · 2017
Cited alongside, same era.
Bag of tricks for efficient text classification
Edouard Grave, Tomas Mikolov, Armand Joulin, and Piotr Bojanowski. 2017 · 2017
Cited alongside, same era.
Federated multi-task learning
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi, and Ameet S. Talwalkar. 2017 · 2017
Later among the works it cites.
Learning to identify ambiguous and misleading news headlines
Wei Wei and Xiaojun Wan. 2017 · 2017
Later among the works it cites.
Clickbait detection in tweets using self-attentive network
Yiwei Zhou. 2017 · 2017
Later among the works it cites.
Identifying clickbait: A multi-strategy approach using neural networks
Vaibhav Kumar, Dhruv Khattar, Siddhartha Gairola, Yash Kumar Lal, and Vasudeva Varma. 2018 · 2018
Later among the works it cites.
Clickbait convolutional neural network
Hai-Tao Zheng, Jin-Yuan Chen, Xin Yao, Arun Kumar Sangaiah, Yong Jiang, and Cong-Zhi Zhao. 2018 · 2018
Later among the works it cites.
Federated machine learning: Concept and applications
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, and Yoshua Bengio. 2017 · 2017
Cited alongside, same era.
Diving deep into clickbaits: Who use them to what extents in which topics with what effects?
Md Main Uddin Rony, Naeemul Hassan, and Mohammad Yousuf. 2017 · 2017
Cited alongside, same era.
Federated optimization: Distributed machine learning for on-device intelligence
Jakub Konecný, H. Brendan McMahan, Daniel Ramage, and Peter Richtárik. 2016a
Cited in the paper.
Federated learning: Strategies for improving communication efficiency
Jakub Konecný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, and Dave Bacon. 2016b
Cited in the paper.
Qiang Yang, Yang Liu, Tianjian Chen, and Yongxin Tong. 2019 · 2019
Closest in time.