Patrick Haffner
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View article: Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling
Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling Open
Object detection tasks are central to the development of datasets and algorithms in computer vision and machine learning. Despite its centrality, object detection remains tedious and time-consuming due to the inherent interactions that are…
View article: The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models
The Role of Linguistic Priors in Measuring Compositional Generalization of Vision-Language Models Open
Compositionality is a common property in many modalities including natural languages and images, but the compositional generalization of multi-modal models is not well-understood. In this paper, we identify two sources of visual-linguistic…
View article: Deep Clustering with Measure Propagation
Deep Clustering with Measure Propagation Open
Deep models have improved state-of-the-art for both supervised and unsupervised learning. For example, deep embedded clustering (DEC) has greatly improved the unsupervised clustering performance, by using stacked autoencoders for represent…
View article: Exploiting Network Structure for Proactive Spam Mitigation
Exploiting Network Structure for Proactive Spam Mitigation Open
E-mail has become indispensable in today’s networked society. However, the huge and ever-growing volume of spam has become a serious threat to this important communication medium. It not only affects e-mail recipients, but also causes a si…
View article: Learning to Adapt by Minimizing Discrepancy
Learning to Adapt by Minimizing Discrepancy Open
We explore whether useful temporal neural generative models can be learned from sequential data without back-propagation through time. We investigate the viability of a more neurocognitively-grounded approach in the context of unsupervised…