Difference between revisions of "CSE 7300 Research Seminar"

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==Presentation Schedule==
 
==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.[https://dl.acm.org/doi/10.1145/3498361.3538948]
 
 
=== ---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. [https://arxiv.org/abs/1906.05849]
 
 
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.[https://doi.org/10.1145/3447548.3467123]
 
 
=== ---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 [https://ieeexplore.ieee.org/document/9878640]
 
 
=== ---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
 
 
Martinez, Natalia, Martin Bertran, and Guillermo Sapiro. "Minimax pareto fairness: A multi objective perspective." International Conference on Machine Learning. PMLR, 2020. [http://proceedings.mlr.press/v119/martinez20a/martinez20a.pdf].
 
 
=== ---Mar 15 ---===
 
Spring Break
 
 
=== ---Mar 22 ---===
 
Bye Week
 
 
=== ---Mar 29 ---===
 
Hangyue
 
 
=== ---Apr 05 ---===
 
Ye
 
 
Rumi, Masuma Akter, et al. "Accelerating sparse cnn inference on gpus with performance-aware weight pruning." Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques. 2020. [https://dl.acm.org/doi/abs/10.1145/3410463.3414648]
 
 
=== ---Apr 12 ---===
 
Charles
 
 
Hao, B., Zhu, H., & Paschalidis, I. C. (2020, December). Enhancing clinical bert embedding using a biomedical knowledge base. In 28th International Conference on Computational Linguistics  [https://aclanthology.org/2020.coling-main.57/]
 
 
Logé, C., Ross, E., Dadey, D. Y. A., Jain, S., Saporta, A., Ng, A. Y., & Rajpurkar, P. (2021). Q-Pain: a question answering dataset to measure social bias in pain management. Neural Information Processing Systems 2021 [https://doi.org/10.13026/2tdv-hj07]
 
 
=== ---Apr 19 ---===
 
Bing
 
 
Poulain, Raphael, Mehak Gupta, and Rahmatollah Beheshti. "Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records." (2022). [https://proceedings.mlr.press/v182/poulain22a.html]
 
 
=== ---Apr 26 ---===
 
 
  
 
==Previous Semesters==
 
==Previous Semesters==

Revision as of 04:58, 29 August 2023