Ryan Rabinowitz

15 papers A* 1B 1Journal 8Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adapting Feature Attenuation to NLP. CoRR Tianshuo Yang, Ryan Rabinowitz, Terrance E. Boult, Jugal Kalita
2025	J	`jnl`	2COOOL: 2nd Workshop on the Challenge Of Out-Of-Label Hazards in Autonomous Driving. CoRR Ali K. AlShami, Ryan Rabinowitz, Maged Shoman, Jianwu Fang, Lukás Picek, Shao-Yuan Lo, Steve Cruz, Khang Nhut Lam, Nachiket Kamod, Lei-Lei Li, Jugal Kalita, Terrance E. Boult
2025	—	`conf`	2COOOL: 2nd Workshop on the Challenge of Out-of-Label Hazards in Autonomous Driving. ICCVW Ali K. AlShami, Ryan Rabinowitz, Maged Shoman, Jianwu Fang, Lukás Picek, Shao-Yuan Lo, Steve Cruz, Khang Nhut Lam, Nachiket Kamod, Lei-Lei Li, Jugal Kalita, Terrance E. Boult
2025	J	`jnl`	COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition. CoRR Ryan Rabinowitz, Steve Cruz, Walter J. Scheirer, Terrance E. Boult
2025	A*	`conf`	GHOST: Gaussian Hypothesis Open-Set Technique. AAAI Ryan Rabinowitz, Steve Cruz, Manuel Günther, Terrance E. Boult
2025	J	`jnl`	GHOST: Gaussian Hypothesis Open-Set Technique. CoRR Ryan Rabinowitz, Steve Cruz, Manuel Günther, Terrance E. Boult
2025	J	`jnl`	SMART-Vision: Survey of Modern Action Recognition Techniques in Vision. CoRR Ali K. AlShami, Ryan Rabinowitz, Khang Nhut Lam, Yousra Shleibik, Melkamu Mersha, Terrance E. Boult, Jugal Kalita
2025	J	`jnl`	SMART-vision: survey of modern action recognition techniques in vision. Multim. Tools Appl. Ali K. AlShami, Ryan Rabinowitz, Khang Nhut Lam, Yousra Shleibik, Melkamu Mersha, Terrance E. Boult, Jugal Kalita
2024	J	`jnl`	COOOL: Challenge Of Out-Of-Label A Novel Benchmark for Autonomous Driving. CoRR Ali K. AlShami, Ananya Kalita, Ryan Rabinowitz, Khang Nhut Lam, Rishabh Bezbarua, Terrance E. Boult, Jugal Kalita
2024	—	`conf`	Operational Open-Set Recognition and PostMax Refinement. ECCV (6) Steve Cruz, Ryan Rabinowitz, Manuel Günther, Terrance E. Boult
2022	B	`conf`	Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. IJCNN Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult
2022	J	`jnl`	Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. CoRR Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult
2022	—	`conf`	Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. CVPR Workshops Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult
2022	—	`conf`	The Tragedy of the Miners. CCNC Vijay Banerjee, Ryan Rabinowitz, Mark Stidd, Rory A. Lewis, Philip N. Brown, Gedare Bloom
2022	—	`conf`	Variable Few Shot Class Incremental and Open World Learning. CVPR Workshops Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult