Difference between revisions of "CSE 7300 Research Seminar"
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Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021. | Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021. | ||
https://arxiv.org/abs/2006.10562 | https://arxiv.org/abs/2006.10562 | ||
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Revision as of 16:59, 28 February 2023
- Theme: AI and IoT for Medicine (AIM)
- Instructor: Prof. Chenyang Lu
- Semester: Spring 2023
- Time: Wednesday at 11am-12pm
- Location: McKelvey 1030
- Guidelines:
- Recommended sources: NeurIPS ([1]), ICML ([2]), AAAI ([3]), SIGKDD ([4]), IJCAI ([5]), IMWUT ([6]), HEALTH ([7]), Digital Medicine ([8]), Lancet Digital Health ([9]), SenSys, MobiSys, MobiCom
Presentation Schedule
---Jan 25 ---
Jaehwan
Jeong, Joo Seong, et al. "Band: coordinated multi-DNN inference on heterogeneous mobile processors." Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services. 2022.[10]
---Feb 01 ---
Hanyang
Contrastive multiview learning and its applications
Tian, Yonglong, Dilip Krishnan, and Phillip Isola. "Contrastive multiview coding." Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16. Springer International Publishing, 2020.
Other related papers:
InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
Multi-level Feature Learning for Contrastive Multi-view Clustering
---Feb 08 ---
Ziqi
Mingcheng Chen. et al. Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD ’21). Association for Computing Machinery, New York, NY, USA, 2663–2673.[11]
---Feb 15 ---
Ruiqi
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer; MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022, pp. 13587-13597
---Feb 22 ---
Melanie
F. Cheng et al., "VBridge: Connecting the Dots Between Features and Data to Explain Healthcare Models," in IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 378-388, Jan. 2022, doi: 10.1109/TVCG.2021.3114836. https://arxiv.org/pdf/2108.02550.pdf
---Mar 01 ---
Jingwen
Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021. https://arxiv.org/abs/2006.10562
---Mar 08 ---
Andrew
---Mar 15 ---
Spring Break
---Mar 22 ---
Hangyue
---Mar 29 ---
---Apr 05 ---
Ye
---Apr 12 ---
Bing
---Apr 19 ---
---Apr 26 ---
Previous Semesters
- Fall 2022
- Summer 2022
- Spring 2022
- Fall 2021
- Summer 2021
- Spring 2021
- Fall 2020
- Summer 2020
- Spring 2020
- Fall 2019
- Summer 2019
- Spring 2019
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- Fall 1998
- Spring 1998
