128 citations · 396 across the 49 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 4 cited
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
Paul Bertens, Seong-Whan Lee
Although Deep Neural Networks have seen great success in recent years through various changes in overall architectures and optimization strategies, their fundamental underlying des…
cs.CV2019★ 1 cited
Interpreting Undesirable Pixels for Image Classification on Black-Box Models
Sin-Han Kang, Hong-Gyu Jung, Seong-Whan Lee
In an effort to interpret black-box models, researches for developing explanation methods have proceeded in recent years. Most studies have tried to identify input pixels that are…
cs.CV2019★ 15 cited
Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks
Woo-Jeoung Nam, Shir Gur, Jaesik Choi +2
As Deep Neural Networks (DNNs) have demonstrated superhuman performance in a variety of fields, there is an increasing interest in understanding the complex internal mechanisms of…