8 citations · 17 across the 6 of their papers we have counts for
7 papers
Dual Student Networks for Data-Free Model Stealing
James Beetham, Navid Kardan, Ajmal Mian +1
Existing data-free model stealing methods use a generator to produce samples in order to train a student model to match the target model outputs. To this end, the two main challeng…
CDFSL-V: Cross-Domain Few-Shot Learning for Videos
Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan +1
Few-shot video action recognition is an effective approach to recognizing new categories with only a few labeled examples, thereby reducing the challenges associated with collectin…
Towards Realistic Semi-Supervised Learning
Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah
Deep learning is pushing the state-of-the-art in many computer vision applications. However, it relies on large annotated data repositories, and capturing the unconstrained nature…
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning
Mamshad Nayeem Rizve, Navid Kardan, Salman Khan +2
Semi-supervised learning (SSL) is one of the dominant approaches to address the annotation bottleneck of supervised learning. Recent SSL methods can effectively leverage a large re…
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar, Ajmal Mian, Navid Kardan +1
Deep Learning (DL) is the most widely used tool in the contemporary field of computer vision. Its ability to accurately solve complex problems is employed in vision research to lea…
Towards Consistent Predictive Confidence through Fitted Ensembles
Navid Kardan, Ankit Sharma, Kenneth O. Stanley
Deep neural networks are behind many of the recent successes in machine learning applications. However, these models can produce overconfident decisions while encountering out-of-d…
Fitted Learning: Models with Awareness of their Limits
Navid Kardan, Kenneth O. Stanley
Though deep learning has pushed the boundaries of classification forward, in recent years hints of the limits of standard classification have begun to emerge. Problems such as fool…