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--- image_embedding:meeting [2019/09/11 05:47] – stonelu
+++ image_embedding:meeting [2020/02/24 23:14] (current) – calvinchan
@@ Line 1: / Line 1: @@
-=====meeting schedule=====
+=====Meeting Schedule=====
+[[image_embedding:top | < Back to Embedding Project Home]]
 -----------------------
 ===2019/09/03===
-  * S. Chopra, R. Hadsell and Y. LeCun, "Learning a similarity metric discriminatively, with application to face verification," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, USA, 2005, pp. 539-546 vol. "[[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1467314&isnumber=31472]]"
+  * S. Chopra, R. Hadsell and Y. [[http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1467314&isnumber=31472 | LeCun, Learning a similarity metric discriminatively, with application to face verification]]," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, USA, 2005, pp. 539-546 vol.
-Abstract:Early version of contrastive loss and Smilarity metric
+  * Presenter: Shi Lu
+Abstract: Early version of contrastive loss and Smilarity metric
 ===2019/09/11===
-  *  Wu C Y , Manmatha R , Smola A J , et al. Sampling Matters in Deep Embedding Learning[J]. 2017."[[https://arxiv.org/abs/1706.07567v1]]"
+  *  Wu C Y , Manmatha R , Smola A J , et al. [[https://arxiv.org/abs/1706.07567v1 | Sampling Matters in Deep Embedding Learning]]. 2017.
-Abstract:distance weighted sampling,different version of triplet loss
+  * Presenter: Yicong
+Abstract: distance weighted sampling,different version of triplet loss
+===2019/09/17===
+  * David Qiu, [[https://dspace.mit.edu/handle/1721.1/108977 | Embedding and latent variable models using maximal correlation]], 2016
+  * Presenter: Jiarong
+===2019/09/28===
+  * Monath, N., Zaheer, M., Silva, D., McCallum, A., & Ahmed, A. (2019, July). [[https://dl.acm.org/citation.cfm?id=3330997 | Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space]]. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 714-722). ACM.
+  * Presenter: Runpeng
+  * Wang, L., Wu, J., Huang, S. L., Zheng, L., Xu, X., Zhang, L., & Huang, J. (2019, July). [[https://aaai.org/ojs/index.php/AAAI/article/view/4464 | An efficient approach to informative feature extraction from multimodal data]]. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 5281-5288).
+  * Presenter: Calvin
+===2019/10/13===
+  * Christos Louizos, Kevin Swersky, Yujia Li, Max Welling, Richard Zemel. [[https://arxiv.org/abs/1511.00830 | The Variational Fair Autoencoder]].
+  * Presenter: Shi Lu
+===2019/10/17===
+  * Narayanaswamy, S., Paige, T. B., Van de Meent, J. W., Desmaison, A., Goodman, N., Kohli, P., ... & Torr, P. (2017). [[http://papers.nips.cc/paper/7174-learning-disentangled-representations-with-semi-supervised-deep-generative-models | Learning disentangled representations with semi-supervised deep generative models]]. In Advances in Neural Information Processing Systems (pp. 5925-5935).
+  * Presenter: Shi Lu
+===2019/10/24===
+  * Diederik P Kingma, Max Welling. [[https://arxiv.org/abs/1312.6114 | Auto-Encoding Variational Bayes]].
+  * Presenter: Yicong Li
+===2019/11/5===
+  * Yao Xu, Xueshuang Xiang, Meiyu Huang. [[https://www.aaai.org/ojs/index.php/AAAI/article/view/4499 | Task-Driven Common Representation Learning via Bridge Neural Network]], AAAI 2019
+  * Presenter: Mingyang Li
+===2019/11/20===
+  * Sun, Q., Liu, Y., Chua, T. S., & Schiele, B. (2019). [[http://openaccess.thecvf.com/content_CVPR_2019/html/Sun_Meta-Transfer_Learning_for_Few-Shot_Learning_CVPR_2019_paper.html | Meta-transfer learning for few-shot learning]]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 403-412).
+  * Presenter: Yang Tan
+===2019/11/28===
+  *  Li, A., Luo, T., Lu, Z., Xiang, T., & Wang, L. (2019). [[http://openaccess.thecvf.com/content_CVPR_2019/html/Li_Large-Scale_Few-Shot_Learning_Knowledge_Transfer_With_Class_Hierarchy_CVPR_2019_paper.html | Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy]]. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (pp. 7212-7220).
+  * Presenter: Yicong Li
+===2019/12/6===
+  * Joshua Lee, Prasanna Sattigeri, Gregory Wornell, [[https://papers.nips.cc/paper/8688-learning-new-tricks-from-old-dogs-multi-source-transfer-learning-from-pre-trained-networks | Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks]], NIPS 2019
+  * Presenter: Jingge Wang
+===2019/12/13===
+  * Pandhre, S., Mittal, H., Gupta, M., & Balasubramanian, V. N. (2018). [[https://arxiv.org/abs/1711.04150 | STWalk: Learning trajectory representations in temporal graphs]]. ACM International Conference Proceeding Series, 210–219.
+  * Presenter: Calvin Chan
+[[image_embedding:top | < Back to Embedding Project Home]]