3 papers
cs.LG2025
A Rigorous Behavior Assessment of CNNs Using a Data-Domain Sampling Regime
Shuning Jiang, Wei-Lun Chao, Daniel Haehn +2
We present a data-domain sampling regime for quantifying CNNs' graphic perception behaviors. This regime lets us evaluate CNNs' ratio estimation ability in bar charts from three pe…
cs.HC2025
Enhancing User Performance and Human Factors through Visual Guidance in AR Assembly Tasks
Leon Pietschmann, Michel Schimpf, Zhu-Tian Chen +2
This study investigates the influence of Visual Guidance (VG) on user performance and human factors within Augmented Reality (AR) via a between-subjects experiment. VG is a crucial…
cs.LG2024
GPT-2 Through the Lens of Vector Symbolic Architectures
Johannes Knittel, Tushaar Gangavarapu, Hendrik Strobelt +1
Understanding the general priniciples behind transformer models remains a complex endeavor. Experiments with probing and disentangling features using sparse autoencoders (SAE) sugg…