References
- R.A. Ahuja, K. Mehlhorn, J.B. Orlin. "Faster algorithm for the shortest path problem," Journal of the Association for Computing Machinery, Vol. 37, pp. 213-223, 1990. https://doi.org/10.1145/77600.77615
- Y. Bengio, J. Louradour, R. Collobert, and J. Weston. "Curriculum learning," Proceedings of the 26th International Conference on Machine Learning, pp. 41-48, Montreal, Canada, June 2009.
- B. Bahdanau, K. Cho, and Y. Bengio. "Neural machine translation by jointly learning to align and translate." Proceedings of 3rd International Conference on Learning Representations, San Diego, USA, May, 2015.
- T. Chilimbi, Y. Suzue, J. Apacible, and K. Kalyanaraman. "Project ADAM: Building an efficient and scalable deep learning training system." Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, pp. 571-582, CO, USA, October. 2014.
- B.C. Choi, Y.H. Min, and M.J. Park. "Strong NP-hardness of minimizing total deviation with generalized and periodic due dates," Operations Research Letters, Vol. 47, pp. 433-437, Sep. 2019. https://doi.org/10.1016/j.orl.2019.08.002
- B.C. Choi, K.M Kim, Y.H. Min, and M.J. Park. "A single machine scheduling with generalized and periodic due dates," Submitted to Discrete Applied Mathematics.
- B.C. Choi, and M.J. Park. "Just-in-time scheduling with generalized due dates and identical due date intervals," Asian-Pacific Journal of Operational Research, Vol. 6, pp. 1-13, Nov. 2018.
- J. Dean, G. Corrado, R. Monga, K. Chen, M. Devin, Q. Le, M. Mao, M. Ranzato, A. Senior, P. Tucker, K. Yang, and A.Y. Ng. "Large scale distributed deep networks," Proceedings of the 25th International Conference on Advances in Neural Information Processing Systems, pp. 1223-1231, Nevada, USA. December, 2012.
- C. Farabet, C. Couprie, L. Najman, and Y. LeCun. "Learning hierarchical features for scene labeling," IEEE Transactions in Pattern Aanlysis and Machine Intelligence, Vol. 35, pp. 1915-1929, 2013. https://doi.org/10.1109/TPAMI.2012.231
- Y. Gao and J. Yuan. "Unary NP-hardness of minimizing total weighted tardiness with generalized due dates," Operations Research Letters, Vol. 44, pp. 92-95, 2006. https://doi.org/10.1016/j.orl.2015.12.006
- N.G. Hall. "Scheduling problems with generalized due dates," IIE Transactions, Vol. 18, pp. 220-222, 1986. https://doi.org/10.1080/07408178608975351
- N.G. Hall, W. Kubiak, S.P. Sethi. "Earliness-tardiness scheduling problems II: Deviation of completion times about a restrictive common due date," Operations Research, Vol. 39, pp. 847-856, 1991. https://doi.org/10.1287/opre.39.5.847
- G.E. Hinton, S. Osindero, and Y.W. The. "A fast learning algorithm for deep belief nets," Neural Computation, Vol. 18, pp. 1527-1554, 2006. https://doi.org/10.1162/neco.2006.18.7.1527
- N.G. Hall and M.E. Posner. "Earliness-tardiness scheduling problems I: Weighted deviation of completion times about a common due date," Operations Research, Vol. 39, pp. 836-846, 1991. https://doi.org/10.1287/opre.39.5.836
- N.G. Hall, S.P. Sethi, and S. Srikandarajah. "On the complexity of generalized due date scheduling problems," European Journal of Operational Research, Vol. 51, pp. 100-109, 1991. https://doi.org/10.1016/0377-2217(91)90149-P
- K. He, X. Zhang, S. Ren, and J. Sun. "Delving deep into rectifiers: Surpassing human-level performance on ImageNet classification," Proceedings of the 2015 International Conference on Computer Vision, pp. 1026-1034, Santiago, Chile, December, 2015.
- A. Krizhevsky, I. Sutskever, and G. Hinton. "ImageNet classification with deep convolutional neural networks," Proceedings of 25th International Conference on Advances in Neural Information Processing Systems, pp. 1090-1098, Nevada, USA. December, 2012.
- Y. LeCun, Y. Bengio, and G. Hinton. "Deep learning," Nature, Vol. 521, pp. 436-444, 2015. https://doi.org/10.1038/nature14539
- V. Nair and G. Hinton. "Rectified linear units improve restricted Boltzmann machines," Proceedings of the 27th International Conference on Machine Learning, pp. 807-814, Haifa, Israel, June. 2010.
- S. Srikandarajah. "A note on the generalized due dates scheduling problem," Naval Research Logistics, Vol. 37, pp. 587-597, 1990. https://doi.org/10.1002/1520-6750(199008)37:4<587::AID-NAV3220370411>3.0.CO;2-O
- N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov. "Dropout: A simply way to prevent neural networks from overfitting," Journal of Machine Learning Research, Vol. 15, pp. 1929-1958, 2014.
- J. Tsitsiklis, D. Bertsekas, M. Athans. "Distributed asynchronous deterministic and stochastic gradient optimization algorithms," IEEE Transactions on Automatic Control, Vol. 31, pp. 803-812, 1986. https://doi.org/10.1109/TAC.1986.1104412
- L. Wa and J. Yuan. "Single-machine scheduling to minimize the total earliness and tardiness is strongly NP-hard," Operations Research Letters, Vol. 41, pp. 363-365, 2013. https://doi.org/10.1016/j.orl.2013.04.007
- W. Zhang, S. Gupta, X. Lian, and J. Liu. "Staleness-aware async-SGD for distributed deep learning," Proceedings of the 25th International Joint Conference on Artificial Intelligence, pp. 2350-2356, New York, USA, July. 2016.