Stephen Tiedemann

Publication Activity (10 Years)

Years Active: 2018-2020
Publications (10 Years): 6

Top Topics

Precision Recall

Quantization Error

Neural Architecture

Top Venues

IEEE J. Sel. Top. Signal Process.

Publications

Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
Iteratively Training Look-Up Tables for Network Quantization. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Stefan Uhlich, Lukas Mauch, Fabien Cardinaux, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
Mixed Precision DNNs: All you need is a good parametrization. ICLR (2020)
Lukas Mauch, Stephen Tiedemann, Javier Alonso García, Bac Nguyen Cong, Kazuki Yoshiyama, Fabien Cardinaux, Thomas Kemp
Efficient Sampling for Predictor-Based Neural Architecture Search. CoRR (2020)
Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Lukas Mauch, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
Iteratively Training Look-Up Tables for Network Quantization. CoRR (2019)
Stefan Uhlich, Lukas Mauch, Kazuki Yoshiyama, Fabien Cardinaux, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
Differentiable Quantization of Deep Neural Networks. CoRR (2019)
Fabien Cardinaux, Stefan Uhlich, Kazuki Yoshiyama, Javier Alonso García, Stephen Tiedemann, Thomas Kemp, Akira Nakamura
Iteratively Training Look-Up Tables for Network Quantization. CoRR (2018)