Are You Sure You Want To Do That? Classification with Verification. - Harris Chan; Atef Chaudhury; Kevin Shen (CoRR, 2018)

Generalized Latent Variable Recovery for Generative Adversarial Networks. - Nicholas Egan; Jeffrey Zhang 007; Kevin Shen (CoRR, 2018)

Lifelong Learning for Image Captioning by Asking Natural Language Questions. - Kevin Shen; Amlan Kar; Sanja Fidler (CoRR, 2018)

Predicting Twitter Engagement With Deep Language Models. - 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; et al. (RecSys Challenge, 2020)

Columnwise neighborhood search: A novel set partitioning matheuristic and its application to the VeRoLog Solver Challenge 2019. - Caroline J. Jagtenberg; Oliver J. Maclaren; Andrew J. Mason; Andrea Raith; Kevin Shen; Michael Sundvick (Networks, 2020)

Multi-world Model in Continual Reinforcement Learning. - Kevin Shen (AAAI, 2024)

Classification of the Fashion-MNIST Dataset on a Quantum Computer. - Kevin Shen; Bernhard Jobst; Elvira Shishenina; Frank Pollmann (CoRR, 2024)

Simplicity in Complexity. - Kevin Shen; Surabhi S. Nath; Aenne Brielmann; Peter Dayan (CoRR, 2024)

Artificial intelligence and machine learning applications for cultured meat. - Michael E. Todhunter; Sheikh Jubair; Ruchika Verma; Rikard Saqe; Kevin Shen; Breanna Duffy (Frontiers Artif. Intell., 2024)

Efficient MPS representations and quantum circuits from the Fourier modes of classical image data. - Bernhard Jobst; Kevin Shen; Carlos A. Riofrío; Elvira Shishenina; Frank Pollmann (Quantum, 2024)