Summary of Understanding Multimodal Deep Neural Networks: a Concept Selection View, by Chenming Shang et al.
Understanding Multimodal Deep Neural Networks: A Concept Selection Viewby Chenming Shang, Hengyuan Zhang, Hao Wen,…
Understanding Multimodal Deep Neural Networks: A Concept Selection Viewby Chenming Shang, Hengyuan Zhang, Hao Wen,…
MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypesby Bor-Shiun Wang, Chien-Yi Wang, Wei-Chen ChiuFirst submitted…
Concentration properties of fractional posterior in 1-bit matrix completionby Tien MaiFirst submitted to arxiv on:…
Computing distances and means on manifolds with a metric-constrained Eikonal approachby Daniel Kelshaw, Luca MagriFirst…
Training a Vision Language Model as Smartphone Assistantby Nicolai Dorka, Janusz Marecki, Ammar AnwarFirst submitted…
`Eyes of a Hawk and Ears of a Fox’: Part Prototype Network for Generalized Zero-Shot…
Under pressure: learning-based analog gauge reading in the wildby Maurits Reitsma, Julian Keller, Kenneth Blomqvist,…
CATS: Contextually-Aware Thresholding for Sparsity in Large Language Modelsby Donghyun Lee, Je-Yong Lee, Genghan Zhang,…
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoningby Junchi Wang, Lei KeFirst submitted to…
Towards Sim-to-Real Industrial Parts Classification with Synthetic Datasetby Xiaomeng Zhu, Talha Bilal, Pär Mårtensson, Lars…