1 citations · 2 across the 6 of their papers we have counts for
3 papers · 1 filter
Reversible designs for extreme memory cost reduction of CNN training
Tristan Hascoet, Quentin Febvre, Yasuo Ariki +1
Training Convolutional Neural Networks (CNN) is a resource intensive task that requires specialized hardware for efficient computation. One of the most limiting bottleneck of CNN t…
Assisting human experts in the interpretation of their visual process: A case study on assessing copper surface adhesive potency
Tristan Hascoet, Xuejiao Deng, Kiyoto Tai +6
Deep Neural Networks are often though to lack interpretability due to the distributed nature of their internal representations. In contrast, humans can generally justify, in natura…
On zero-shot recognition of generic objects
Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi
Many recent advances in computer vision are the result of a healthy competition among researchers on high quality, task-specific, benchmarks. After a decade of active research, zer…