Navid Kardan - RankMe

16 papers A* 3B 3Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	CDFSL-V: Cross-Domain Few-Shot Learning for Videos. ICCV Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2023	J	`jnl`	CDFSL-V: Cross-Domain Few-Shot Learning for Videos. CoRR Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2023	A*	`conf`	Dual Student Networks for Data-Free Model Stealing. ICLR James Beetham, Navid Kardan, Ajmal Saeed Mian, Mubarak Shah
2023	J	`jnl`	Dual Student Networks for Data-Free Model Stealing. CoRR James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah
2022	B	`conf`	Detecting Compromised Architecture/Weights of a Deep Model. ICPR James Beetham, Navid Kardan, Ajmal Mian, Mubarak Shah
2022	—	`conf`	OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. ECCV (31) Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
2022	J	`jnl`	OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning. CoRR Mamshad Nayeem Rizve, Navid Kardan, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah
2022	A*	`conf`	Self-Joint Supervised Learning. ICLR Navid Kardan, Mubarak Shah, Mitch Hill
2022	J	`jnl`	Towards Realistic Semi-Supervised Learning. CoRR Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2022	—	`conf`	Towards Realistic Semi-supervised Learning. ECCV (31) Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
2021	J	`jnl`	Advances in Adversarial Attacks and Defenses in Computer Vision: A Survey. IEEE Access Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
2021	J	`jnl`	Threat of Adversarial Attacks on Deep Learning in Computer Vision: Survey II. CoRR Naveed Akhtar, Ajmal Mian, Navid Kardan, Mubarak Shah
2021	B	`conf`	Towards Consistent Predictive Confidence through Fitted Ensembles. IJCNN Navid Kardan, Ankit Sharma, Kenneth O. Stanley
2021	J	`jnl`	Towards Consistent Predictive Confidence through Fitted Ensembles. CoRR Navid Kardan, Ankit Sharma, Kenneth O. Stanley
2017	B	`conf`	Mitigating fooling with competitive overcomplete output layer neural networks. IJCNN Navid Kardan, Kenneth O. Stanley
2016	J	`jnl`	Fitted Learning: Models with Awareness of their Limits. CoRR Navid Kardan, Kenneth O. Stanley