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| NO | Title, Author(s) (Publication Title, Volume Issue, Page, Issue Date) |
|---|---|
| Interpreting and Explaining Deep Neural Networks: A Perspective on Time Series Data Choi, Jaesik, 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2020, pp.3563 - 3564, Association for Computing Machinery, 2020-08-23 | |
| Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks Nam, Woo-Jeoung; Gur, Shir; Choi, Jaesik; Wolf, Lior; Lee, Seong-Whan, 34th AAAI Conference on Artificial Intelligence, AAAI 2020, pp.2501 - 2508, AAAI, 2020-02-11 | |
| An Efficient Explorative Sampling Considering the Generative Boundaries of Deep Generative Neural Networks Jeong, Giyoung; Jeong, Haedong; Choi, Jaesik, AAAI Conference on Artificial Intelligence, AAAI-20, pp.4288 - 4295, AAAI, 2020-02-11 | |
| HetPipe: Enabling large DNN training on (Whimpy) heterogeneous GPU clusters through integration of pipelined model parallelism and data parallelism Park, Jay H; Yun, Gyeongchan; Yi, Chang M; Nguyen, Nguyen T; Lee, Seungmin; Choi, Jaesik; Noh, Sam H; Choi, Young-Ri, USENIX Annual Technical Conference, ATC 2020, pp.307 - 321, USENIX Association, 2020-07-16 |
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