Reducing Data Motion to Accelerate the Training of Deep Neural Networks
- Sicong Zhuang
- Cristiano Malossi
- et al.
- 2020
- arXiv
Paper
Publications
238 results for Automated AI
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems
- Jaimie Drozdal
- Justin Weisz
- et al.
- 2020
- IUI 2020
Conference paperAutoAIViz: Opening the blackbox of automated artificial intelligence with conditional parallel coordinates
- Daniel Karl I. Weidele
- Justin Weisz
- et al.
- 2020
- IUI 2020
Conference paperTowards Automating the AI Operations Lifecycle
- Matthew Arnold
- Jeffrey Boston
- et al.
- 2020
- MLSys 2020
Workshop paperBuilding calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
Conference paperGaSPing for utility
- Mengyang Gu
- Debarun Bhattacharjya
- et al.
- 2020
- AAAI 2020
Conference paperAn ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
Conference paperJoint modeling of local and global temporal dynamics for multivariate time series forecasting with missing values
- Xianfeng Tang
- Huaxiu Yao
- et al.
- 2020
- AAAI 2020
Conference paperPursuit of low-rank models of time-varying matrices robust to sparse and measurement noise
- Albert Akhriev
- Jakub Marecek
- et al.
- 2020
- AAAI 2020
Conference paperWeighted sampling for combined model selection and hyperparameter tuning
- Dimitrios Sarigiannis
- Thomas Parnell
- et al.
- 2020
- AAAI 2020
Conference paper