Videoes

PaperView - Meta Pseudo Labels

PaperView - going over the paper titled "Meta Pseudo Labels" by H Pham, Z Dai, Q Xie, QV Le

PaperView - Pay attention to MLPs

PaperView - going over the paper titled "Pay attention to MLPs" by Hanxiao Liu, Zihang Dai, David R. So, Quoc V. Le.

PaperView - Panoptic segmentation with a joint semantic and instance segmentation network

PaperView - going over the paper titled "Panoptic segmentation with a joint semantic and instance segmentation network" by De Geus, Daan, Panagiotis Meletis, and Gijs Dubbelman.

PaperView - Complementary Relation Contrastive Distillation

PaperView - going over the paper Zhu, Jinguo, et al. "Complementary relation contrastive distillation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2021.

PaperView: Generalized Wasserstein Dice Score for Imbalanced Segmentation

PaperView - going over the paper titled "Generalised wasserstein dice score for imbalanced multi-class segmentation using holistic convolutional networks" by Fidon, Lucas, et al.

PaperView: TabNN: A Universal Neural Network Solution for Tabular Data

PaperView - going over the paper titled "TabNN - A Universal Neural Network Solution for Tabular Data" by G Ke, J Zhang, Z Xu, J Bian, TY Liu

PaperView: Transferable Adversarial Training - A General Approach to Adapting Deep Classifiers

PaperView - going over the paper titled "Transferable Adversarial Training - A General Approach to Adapting Deep Classifiers" by Hong Liu, Mingsheng Long,Jianmin Wang, and Michael I. Jordan

PaperView: On the Importance of Text Analysis for Stock Price Prediction

Analyzing the Role of Model Uncertainty for Electronic Health Records

Paper Explained: Deep Patient - An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Paper Explained: Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer