Browse "RIMS Conference Papers" by Issue Date
Showing results 301 to 320 of 3515
| Meta Dropout: Learning to Perturb Latent Features for Generalization Lee, Hae Beom; Nam, Taewook; Yang, Eunho; Hwang, Sung Ju, Eighth International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, 2020-04-27 |
| Scalable and Order-robust Continual Learning with Additive Parameter Decomposition Yoon, Jaehong; Kim, Saehoon; Yang, Eunho; Hwang, Sung Ju, 8th International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations, ICLR, 2020-04-26 |
| Body Follows Eye: Unobtrusive Posture Manipulation Through a Dynamic Content Position in Virtual Reality Shin, Joon Gi; Kim, Doheon; So, Chaehan; Saakes, Daniel, CHI '20: CHI Conference on Human Factors in Computing Systems, pp.1 - 14, ACM, 2020-04-21 |
| How Much and When Do We Need Higher-order Information in Hypergraphs? A Case Study on Hyperedge Prediction Yoon, Se-eun; Song, Hyungseok; Shin, Kijung; Yi, Yung, The Web Conference 2020, WWW 2020, pp.2627 - 2633, Association for Computing Machinery, 2020-04-20 |
| Developing Pilot-Scale Methane-Fueled Microbial Fuel Cells Myung, Jaewook, 2020 KSBB Spring Meeting and International Symposium, 한국생물공학회, 2020-04-10 |
| Analyzing the Role of Model Uncertainty for Electronic Health Records Dusenberry, Michael W.; Tran, Dustin; Choi, Edward; Kemp, Jonas; Nixon, Jeremy; Jerfel, Ghassen; Heller, Katherine; et al, 2020 ACM Conference on Health, Inference, and Learning, CHIL 2020, pp.204 - 213, Association for Computing Machinery, Inc, 2020-04 |
| NeurQuRI: Neural Question Requirement Inspector for Answerability Prediction in Machine Reading Comprehension Back, Seohyun; Chinthakindi, Sai; Kedia, Akhil; Lee, Haejun; Choo, Jaegul, 8th International Conference on Learning Representations, ICLR 2020, International Conference on Learning Representations Group, 2020-04 |
| Understanding Features on Evolutionary Policy Optimizations Lee, Sangyeop; Ha, Myoung Hoon; Moon, Byoungro, 35th Annual ACM Symposium on Applied Computing (SAC), pp.1112 - 1118, ASSOC COMPUTING MACHINERY, 2020-04 |
| Orbital Theory of Mo-Edge MoS2 Nanoclusters: Stability in Five Periods and the Magic Numbers Ryou, Junga; Kim, Yongsung, IEEE NANO 2018, IEEE, 2020-03-24 |
| Quantum key distribution solution over indoor visible light communication networks Dang, Ngoc T; Vu, Minh B; Pham, Thu A; Pham, Hien T; Mai, Vuong V, Fourth International Conference on Photonic Solutions (ICPS 2019), SPIE, 2020-03-11 |
| Millimeter-Wave Channel Characterization for Vehicle-to-Infrastructure Communication Wu, Lina; He, Danping; Guan, Ke; Ai, Bo; Kim, Junhyeong; Chung, Heesang, 14th European Conference on Antennas and Propagation (EuCAP), IEEE, 2020-03 |
| 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 |
| Residual Neural Processes Lee, Byung-Jun; Hong, Seunghoon; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4545 - 4552, Association for the Advancement of Artificial Intelligence, 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 |
| Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues Jang, Youngsoo; Lee, Jongmin; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.7994 - 8001, Association for the Advancement of Artificial Intelligence, 2020-02-11 |
| Learning the Graphical Structure of Electronic Health Records using Graph Convolutional Transformer Choi, Yoonjae; Xu, Zhen; Li, Yujia; Dusenberry, Michael W.; Flores, Gerardo; Xue, Emily; Dai, Andrew M, 34th AAAI Conference on Artificial Intelligence, AAAI, 2020-02-10 |
| TellTail: Fast Scoring and Detection of Dense Subgraphs Hooi, Bryan; Shin, Kijung; Lamba, Hemank; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.4150 - 4157, Association for the Advancement of Artificial Intelligence, 2020-02-10 |
| MIDAS: MIcrocluster-based Detector of Anomalies in Edge Streams Bhatia, Siddharth; Hooi, Bryan; Yoon, Minji; Shin, Kijung; Faloutsos, Christos, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), pp.3243 - 3250, Association for the Advancement of Artificial Intelligence, 2020-02-10 |
| Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients Lee, Jongmin; Jeon, Wonseok; Kim, Geon-Hyeong; Kim, Kee-Eung, 34th AAAI Conference on Artificial Intelligence (AAAI 2020), pp.4561 - 4568, Association for the Advancement of Artificial Intelligence, 2020-02-10 |
| Deep Mixed Effect Model Using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Chung, Ingyo; Kim, Saehoon; Lee, Juho; Kim, Kwang Joon; Hwang, Sung Ju; Yang, Eunho, 34th AAAI Conference on Artificial Intelligence / 32nd Innovative Applications of Artificial Intelligence Conference / 10th AAAI Symposium on Educational Advances in Artificial Intelligence, pp.3649 - 3657, ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE, 2020-02-07 |
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