1. Davide Bacciu , Federico Errica , and Alessio Micheli . 2018 . Contextual graph markov model: A deep and generative approach to graph processing . In International Conference on Machine Learning. PMLR, 294--303 . Davide Bacciu, Federico Errica, and Alessio Micheli. 2018. Contextual graph markov model: A deep and generative approach to graph processing. In International Conference on Machine Learning. PMLR, 294--303.
2. Scheduling multithreaded computations by work stealing
3. Deep CTR Prediction in Display Advertising
4. Michaël Defferrard , Xavier Bresson , and Pierre Vandergheynst . 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems , Vol. 29 ( 2016 ). Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. Advances in neural information processing systems, Vol. 29 (2016).
5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).