Denouden, T. . (2020). An Application of Out-of-Distribution Detection for Two-Stage Object Detection Networks. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15646 (Original work published 2020)
Publications
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Gaurav, A. . (2020). Safety-Oriented Stability Biases for Continual Learning. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15579 (Original work published 2020)
Jhunjhunwala, A. ., Lee, J. ., Sedwards, S. ., Abdelzad, V. ., & Czarnecki, K. . (2020). Improved Policy Extraction via Online Q-Value Distillation. Improved Policy Extraction via Online Q-Value Distillation. Presented at the. Glasgow: IEEE.
Chen, H. ., Cohen, R. ., Dautenhahn, K. ., Law, E. ., & Czarnecki, K. . (2020). Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. Autonomous Vehicle Visual Signals for Pedestrians: Experiments and Design Recommendations. Presented at the. Retrieved from https://arxiv.org/abs/2010.05115
Gaurav, A. ., Vernekar, S. ., Lee, J. ., Sedwards, S. ., Abdelzad, V. ., & Czarnecki, K. . (2020). Simple Continual Learning Strategies for Safer Classifers. Simple Continual Learning Strategies for Safer Classifers. Presented at the. CEUR. Retrieved from http://ceur-ws.org/Vol-2560/paper6.pdf (Original work published 2020)
Dillen, N. ., Ilievski, M. ., Law, E. ., Nacke, L. E., Czarnecki, K. ., & Schneider, O. . (2020). Keep Calm and Ride Along: Passenger Comfort and Anxiety as Physiological Responses to Autonomous Driving Styles. Keep Calm and Ride Along: Passenger Comfort and Anxiety As Physiological Responses to Autonomous Driving Styles. Presented at the. ACM. https://doi.org/10.1145/3313831.3376247 (Original work published 2020)
Chen, H. . (2020). Autonomous Vehicles with Visual Signals for Pedestrians: Experiments and Design Recommendations. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/15534 (Original work published 2020)
Vernekar, S. . (2020). Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation. Waterloo. Retrieved from http://hdl.handle.net/10012/15582 (Original work published 2020)
Antkiewicz, M. ., Kahn, M. ., Ala, M. ., Czarnecki, K. ., Wells, P. ., Acharya, A. ., & Beiker, S. . (2020). Modes of Automated Driving System Scenario Testing: Experience Report and Recommendations. SAE Int. J. Adv. & Curr. Prac. In Mobility, 2, 2248-2266. https://doi.org/10.4271/2020-01-1204 (Original work published 2020)
Li, C. . (2019). Autonomous Driving: A Multi-Objective Deep Reinforcement Learning Approach. Waterloo. Retrieved from https://uwspace.uwaterloo.ca/handle/10012/14697 (Original work published 2019)