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2020 – today
- 2024
[c2]Kevin Shen:
Multi-world Model in Continual Reinforcement Learning. AAAI 2024: 23757-23759- [i6]Kevin Shen, Bernhard Jobst
, Elvira Shishenina, Frank Pollmann:
Classification of the Fashion-MNIST Dataset on a Quantum Computer. CoRR abs/2403.02405 (2024) - [i5]Kevin Shen, Surabhi S. Nath, Aenne Brielmann, Peter Dayan:
Simplicity in Complexity. CoRR abs/2403.03134 (2024) - [i4]Michael E. Todhunter, Sheikh Jubair, Ruchika Verma, Rikard Saqe, Kevin Shen, Breanna Duffy:
Artificial intelligence and machine learning applications for cultured meat. CoRR abs/2407.09982 (2024) - 2020
- [j1]Caroline J. Jagtenberg, Oliver J. Maclaren, Andrew J. Mason, Andrea Raith, Kevin Shen, Michael Sundvick:
Columnwise neighborhood search: A novel set partitioning matheuristic and its application to the VeRoLog Solver Challenge 2019. Networks 76(2): 273-293 (2020) - [c1]Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez:
Predicting Twitter Engagement With Deep Language Models. RecSys Challenge 2020: 38-43
2010 – 2019
- 2018
- [i3]Harris Chan, Atef Chaudhury, Kevin Shen:
Are You Sure You Want To Do That? Classification with Verification. CoRR abs/1809.02652 (2018) - [i2]Nicholas Egan, Jeffrey Zhang, Kevin Shen:
Generalized Latent Variable Recovery for Generative Adversarial Networks. CoRR abs/1810.03764 (2018) - [i1]Kevin Shen, Amlan Kar, Sanja Fidler:
Lifelong Learning for Image Captioning by Asking Natural Language Questions. CoRR abs/1812.00235 (2018)
Coauthor Index
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