数理・データサイエンスセンターでは、「神戸大学CMDS論文セミナー」を開催し、データサイエンスやAI関係の先端的な論文紹介を行います。
みなさま奮ってご参加ください。前期の論文セミナーは電気電子工学専攻知的学習論研究室の学生が論文紹介を行います。
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| No. | 日程 | 論文情報 | 発表者・学年 |
|---|---|---|---|
| 1 | 2022/04/25(月) | W. Bi, H. Li, and J. Huang "Data Augmentation for Text Generation Without Any Augmented Data" Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, Vol. 1, pp. 2223–2237 (2021) |
高須 悠一朗・M1 |
| 2 | 2022/04/28(木) | S. Abdelnabi, K. Krombholz, and M. Fritz "VisualPhishNet: Zero-Day Phishing Website Detection by Visual Similarity" Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, pp. 1681–1698 (2020) |
中野 瑠人・M1 |
| 3 | 2022/05/02(月) | A. F. Gao, J. C. Castellanos, Y. Yue, Z. E. Ross, K. Bouman "DeepGEM: Generalized Expectation-Maximization for Blind Inversion" Advances in Neural Information Processing Systems 34 (2021) |
近江 勇斗・M1 |
| 4 | 2022/05/09(月) | Y. Kwon, D. Lee, Y. S. Choi, and S. Kang "Uncertainty-Aware Prediction of Chemical Reaction Yields with Graph Neural Networks" Journal of Cheminformatics, Vol. 14, No. 1, pp. 1–10 (2022) |
相部 剛司・M1 |
| 5 | 2022/05/12(木) | A. Moglia, L. Morelli, R. D’Ischia, et al. "Ensemble Deep Learning for the Prediction of Proficiency at a Virtual Simulator for Robot-Assisted Surgery" Surgical Endoscopy, pp. 1-7 (2022) |
南地 海音・M1 |
| 6 | 2022/05/16(月) | L. Aitchison "Bayesian Filtering Unifies Adaptive and Non-Adaptive Neural Network Optimization Methods" Advances in Neural Information Processing Systems 33 (2020) |
東海林 翼・M1 |
| 7 | 2022/05/19(木) | W. Li, J. Ma, N. Shende, et al. "Using Machine Learning of Clinical Data to Diagnose COVID-19: a Systematic Review and Meta-Analysis" BMC Medical Informatics and Decision Making, Vol. 20, No. 1, pp. 1–13 (2020) |
竹内 奏・M1 |
| 8 | 2022/05/23(月) | J. Lu, A. Jayakumari, F. Richter, Y. Li and M. C. Yip "SuPer Deep: A Surgical Perception Framework for Robotic Tissue Manipulation using Deep Learning for Feature Extraction" 2021 IEEE International Conference on Robotics and Automation (ICRA), pp. 4783-4789 (2021) |
服部 達也・M1 |
| 9 | 2022/05/26(木) | V. Satorras, E. Hoogeboom, and M. Welling "E(n) Equivariant Graph Neural Network" Proceedings of the 38th International Conference on Machine Learning (2021) |
中野 博三・M1 |
| 10 | 2022/05/30(月) | G. Pinter, I. Felde, A. Mosavi, P. Ghamisi, and R. Gloaguen "COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach" Mathematics, Vol. 8, No. 6, 890 (2020) |
三谷 祐貴・M1 |
| 11 | 2022/06/02(木) | L. Ruff, R. A. Vandermeulen, N. Görnitz, A. Binder, E. Müller, K. R. Müller, and M. Kloft "Deep Semi-Supervised Anomaly Detection" Proceedings of the International Conference on Learning Representations (2020) |
藤原 魁成・M1 |
| 12 | 2022/06/06(月) | A. Renda, J. Frankle, and M. Carbin "Comparing Rewinding and Fine-Tuning in Neural Network Pruning" International Conference on Learning Representations (2020) |
井阪 寛明・M2 |
| 13 | 2022/06/09(木) | R. Deng, M. A Brubaker, G. Mori, and A. Lehrmann "Continuous Latent Process Flows" Advances in Neural Information Processing Systems 34 (2021) |
稲葉 健允・M2 |
| 14 | 2022/06/13(月) | F. Ji, H. Shuai, and X. T. Yuan "A Globally Convergent Approximate Newton Method for Non-Convex Sparse Learning" Pattern Recognition, Vol. 126, 108560 (2022) |
野手 勇哉・M1 |
| 15 | 2022/06/16(木) | Liu, Ze, et al. "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 10012–10022 (2021) |
三宅 健太・M1 |
| 16 | 2022/06/20(月) | R.Irie, et al. "A Novel Deep Learning Approach with a 3D Convolutional Ladder Network for Differential Diagnosis of Idiopathic Normal Pressure Hydrocephalus and Alzheimer’s Disease" Magnetic Resonance in Medical Sciences, Vol. 19, No. 4, pp. 351–358 (2020) |
渡邊 斗夢・M1 |
| 17 | 2022/06/23(木) | T. Gao, X. Yao, and D. Chen "SimCSE: Simple Contrastive Learning of Sentence Embeddings" Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pp. 6894–6910 (2021) |
宮武 和咲・M1 |
| 18 | 2022/06/27(月) | Y. Wang, R. Huang, S. Song, Z. Huang, and G. Huang "Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition" Conference and Workshop on Neural Information Processing Systems (2021) |
龔 承乾・M1 |
| 19 | 2022/06/30(木) | H. Patel and K. P. Upla "A Shallow Network for Hyperspectral Image Classification Using an Autoencoder with Convolutional Neural Network" Multimedia Tools and Applications, Vol. 81, No. 1, pp. 695–714 (2022) |
中山 祐輔・M2 |
| 20 | 2022/07/04(月) | K. Mo, C. Chen, J. Li, H. Xu and C. J. Xue "Two-Dimensional Learning Rate Decay: Towards Accurate Federated Learning with Non-IID Data" 2021 International Joint Conference on Neural Networks (IJCNN), pp. 1–7 (2021) |
三浦 啓吾・M2 |
| 21 | 2022/07/07(木) | F. Maken, F. Ramos, and L. Ott "Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation" IEEE Robotics and Automation Letters, Vol. 7, No. 2, pp. 5421–5428 (2022) |
伊原 琢真・M2 |
| 22 | 2022/07/11(月) | S. Nakagome, T. P. Luu, Y. He, A. S. Ravindran, and J. L. Contreras-Vidal "An Empirical Comparison of Neural Networks and Machine Learning Algorithms for EEG Gait Decoding" Scientific Reports, Vol. 10, No. 1, pp. 1–17 (2020) |
薩井 篤・M2 |
| 23 | 2022/07/14(木) | C. H. Lin, H. Y. Lee, Y. C. Cheng, S. Tulyakov, and M. H. Yang "InfinityGAN: Towards Infinite-Pixel Image Synthesis" Proceedings of 10th International Conference on Learning Representations (2022) |
鈴木 聖惟・M2 |
| 24 | 2022/07/19(火) | R. Martin-Brualla, N. Radwan, M. S. M. Sajjadi, J. T. Barron, A. Dosovitskiy, and D. Duckworth "NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections" Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7210-7219 (2021) |
岸川 裕輝・M2 |
| 25 | 2022/07/21(木) | M. Chen, A. Radford, R. Child, J. Wu, H. Jun, D. Luan, and I. Sutskever "Generative Pretraining From Pixels" Proceedings of the 37th International Conference on Machine Learning (2020) |
須崎 貴史・M2 |
| 26 | 2022/07/25(月) | A. Holtzman, J. Buys, L. Du, M. Forbes, and Y. Choi "The Curious Case of Neural Text Degeneration" In International Conference on Learning Representations (2020) |
吉田 朋弘・M2 |
| 27 | 2022/07/28(木) | Z. Dai, H. Liu, Q. V. Le, and M. Tan "CoAtNet: Marrying Convolution and Attention for All Data Sizes" Advances in Neural Information Processing Systems 34 (2021) |
村中 建太・M2 |
| 28 | 2022/08/01(月) | M. Chen, N. Shlezinger, H. V. Poor, Y. C. Eldar, and S. Cui "Communication-Efficient Federated Learning" Proceedings of the National Academy of Sciences, Vol. 118, No. 17 (2021) |
ASRORI SEPTIVIANA SAVITRI・M2 |
| 29 | 2022/08/04(木) | M. Xu, H. Wang, B. Ni, H. Guo, and J. Tang "Self-supervised Graph-level Representation Learning with Local and Global Structure" International Conference on Machine Learning (ICML) (2021) |
Muhammad Fakhrur Rozi・D |
