James Chang

James Chang

Data Scientist and AI researcher ❤️ Statistics, ML/DL, Decision Making

Papers

19. [BERT4Rec] Sequential Recommendation with Bidirectional Encoder Representations from Transformer

January 20 2023

18. [DeText] A Deep Neural Text Understanding Framework

January 12 2023

17. [LSTF-Linear] Are Transformers Effective for Time Series Forecasting

January 05 2023

16. [USAD] UnSupervised Anomaly Detection on Multivariate Time Series

October 03 2022

15. [U-Net] Convolutional Networks for Biomedical Image Segmentation

September 25 2022

14. [FM] Factorization Machines

September 23 2022

13. [NeuMF] Neural Collaborative Filtering

September 22 2022

12. [BERT] Pre-training of Deep Bidirectional Transformers for Language Understanding

September 21 2022

11. [AutoRec] Autoencoders Meet Collaborative Filtering

September 20 2022

10. [ViT] Transformers For Image Recognition at Scale

September 18 2022

9. [Transformer] Attention Is All You Need

September 15 2022

8. [Buy It Again] Modeling Repeat Purchase Recommendations

September 12 2022

7. [NMF] Non-negative Matrix Factorization

September 10 2022

6. [YOLOv3] An Incremental Improvement

September 09 2022

5. [Seq2Seq] Sequence to Sequence Learning with Neural Networks

September 09 2022

4. [GoogLeNet] Going Deeper with Convolutions

September 07 2022

3. [VGG] Very Deep Convolutional Networks For Large-Scale Image Recognition

September 05 2022

2. [Resnet] Deep Residual Learning for Image Recognition

September 03 2022

1. [Alexnet] ImageNet Classification with Deep Convolutional Neural Networks

September 01 2022