Reducing Data Motion to Accelerate the Training of Deep Neural Networks
- Sicong Zhuang
- Cristiano Malossi
- et al.
- 2020
- arXiv
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188 results for Automated AI
AutoAIViz: Opening the blackbox of automated artificial intelligence with conditional parallel coordinates
- Daniel Karl I. Weidele
- Justin Weisz
- et al.
- 2020
- IUI 2020
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems
- Jaimie Drozdal
- Justin Weisz
- et al.
- 2020
- IUI 2020
Towards Automating the AI Operations Lifecycle
- Matthew Arnold
- Jeffrey Boston
- et al.
- 2020
- MLSys 2020
Pursuit of low-rank models of time-varying matrices robust to sparse and measurement noise
- Albert Akhriev
- Jakub Marecek
- et al.
- 2020
- AAAI 2020
EvolveGCN: Evolving graph convolutional networks for dynamic graphs
- Aldo Pareja
- Giacomo Domeniconi
- et al.
- 2020
- AAAI 2020
Generalizable resource allocation in stream processing via deep reinforcement learning
- Xiang Ni
- Jing Li
- et al.
- 2020
- AAAI 2020
Weighted sampling for combined model selection and hyperparameter tuning
- Dimitrios Sarigiannis
- Thomas Parnell
- et al.
- 2020
- AAAI 2020
An ADMM based framework for AutoML pipeline configuration
- Sijia Liu
- Parikshit Ram
- et al.
- 2020
- AAAI 2020
Joint modeling of local and global temporal dynamics for multivariate time series forecasting with missing values
- Xianfeng Tang
- Huaxiu Yao
- et al.
- 2020
- AAAI 2020