Maya Kabkab

13 papers A* 2B 1Misc 2Journal 5Unranked 2

Year	Rank	Type	Title / Venue / Authors
2022	A*	`conf`	R4D: Utilizing Reference Objects for Long-Range Distance Estimation. ICLR Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
2022	J	`jnl`	R4D: Utilizing Reference Objects for Long-Range Distance Estimation. CoRR Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
2018	—	`conf`	Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. ICLR (Poster) Pouya Samangouei, Maya Kabkab, Rama Chellappa
2018	J	`jnl`	Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models. CoRR Pouya Samangouei, Maya Kabkab, Rama Chellappa
2018	—	`—`	Learning Along the Edge of Deep Neural Networks. Maya Kabkab
2018	A*	`conf`	Task-Aware Compressed Sensing With Generative Adversarial Networks. AAAI Maya Kabkab, Pouya Samangouei, Rama Chellappa
2018	J	`jnl`	Task-Aware Compressed Sensing with Generative Adversarial Networks. CoRR Maya Kabkab, Pouya Samangouei, Rama Chellappa
2017	Misc	`conf`	The case for spatial pooling in deep convolutional sparse coding. ACSSC Maya Kabkab
2016	J	`jnl`	DCNNs on a Diet: Sampling Strategies for Reducing the Training Set Size. CoRR Maya Kabkab, Azadeh Alavi, Rama Chellappa
2016	B	`conf`	On the size of Convolutional Neural Networks and generalization performance. ICPR Maya Kabkab, Emily M. Hand, Rama Chellappa
2015	J	`jnl`	A New Random Graph Model with Self-Optimizing Nodes: Connectivity and Diameter. Internet Math. Richard J. La, Maya Kabkab
2013	—	`conf`	A new graph model with random edge values: Connectivity and diameter. Allerton Richard J. La, Maya Kabkab
2012	Misc	`conf`	Long run equilibria in social games with coordination reward. CISS Maya Kabkab, Richard J. La