Joel Schlosser

According to our database, Joel Schlosser authored at least 7 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Characterizing and Efficiently Accelerating Multimodal Generation Model Inference.

Yejin Lee, Anna Y. Sun, Basil Hosmer, Bilge Acun, Can Balioglu, Changhan Wang, Charles David Hernandez, Christian Puhrsch, Daniel Haziza, Driss Guessous, Francisco Massa, Jacob Kahn, Jeffrey Wan, Jeremy Reizenstein, Jiaqi Zhai, Joe Isaacson, Joel Schlosser, Juan Pino, Kaushik Ram Sadagopan, Leonid Shamis, Linjian Ma, Min-Jae Hwang, Mingda Chen, Mostafa Elhoushi, Pedro Rodriguez, Ram Pasunuru, Scott Yih, Sravya Popuri, Xing Liu, Carole-Jean Wu

CoRR, 2024

2019

Multi-class classification without multi-class labels.

Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A probabilistic constrained clustering for transfer learning and image category discovery.

Yen-Chang Hsu, Zhaoyang Lv, Joel Schlosser, Phillip Odom, Zsolt Kira

CoRR, 2018

Deep Reinforcement Learning Methods for Navigational Aids.

Bijan Fakhri, Aaron Keech, Joel Schlosser, Ethan Brooks, Hemanth Venkateswara, Sethuraman Panchanathan, Zsolt Kira

Proceedings of the Smart Multimedia - First International Conference, 2018

2016

Technology Futures From Passive Crowdsourcing.

Erica Briscoe, Darren Scott Appling, Joel Schlosser

IEEE Trans. Comput. Soc. Syst., 2016

Fusing LIDAR and images for pedestrian detection using convolutional neural networks.

Joel Schlosser, Christopher K. Chow, Zsolt Kira

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Passive Crowd Sourcing for Technology Prediction.

Erica J. Briscoe, D. Scott Appling, Joel Schlosser

Proceedings of the Social Computing, Behavioral-Cultural Modeling, and Prediction, 2015