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| | ==Presentation Schedule== | | ==Presentation Schedule== |
| − | === ---Jan 25 ---===
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| − | Jaehwan
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| − | 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]
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| − | === ---Feb 01 ---===
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| − | Hanyang
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| − | Contrastive multiview learning and its applications
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| − | 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]
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| − | Other related papers:
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| − | InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training
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| − | Contrastive Learning with Cross-Modal Knowledge Mining for Multimodal Human Activity Recognition
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| − | Multi-level Feature Learning for Contrastive Multi-view Clustering
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| − | === ---Feb 08 ---===
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| − | Ziqi
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| − | 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]
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| − | === ---Feb 15 ---===
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| − | Ruiqi
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| − | 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]
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| − |
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| − | === ---Feb 22 ---===
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| − | Melanie
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| − | 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.
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| − | [https://arxiv.org/pdf/2108.02550.pdf]
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| − |
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| − | === ---Mar 01 ---===
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| − | Jingwen
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| − | Malinin, Andrey, Liudmila Prokhorenkova, and Aleksei Ustimenko. “Uncertainty in Gradient Boosting via Ensembles.” International Conference on Learning Representations, 2021.
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| − | [https://arxiv.org/abs/2006.10562]
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| − |
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| − | === ---Mar 08 ---===
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| − | Andrew
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| − | 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].
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| − | === ---Mar 15 ---===
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| − | Spring Break
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| − |
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| − | === ---Mar 22 ---===
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| − | Bye Week
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| − |
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| − | === ---Mar 29 ---===
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| − | Hangyue
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| − |
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| − | === ---Apr 05 ---===
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| − | Ye
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| − | 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]
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| − |
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| − | === ---Apr 12 ---===
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| − | Charles
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| − |
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| − | 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/]
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| − | 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]
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| − |
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| − | === ---Apr 19 ---===
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| − | Bing
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| − | 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]
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| − |
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| − | === ---Apr 26 ---===
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| | ==Previous Semesters== | | ==Previous Semesters== |
