Papers You Should Read – Machine Learning and Data Mining
Reading papers is an essential part of a Ph.D. student’s life, especially for junior students.
Here I provide a list of papers that I encourage you to read. I will also provide a reason to recommend the paper.
Hidasi, Balázs, et al. “Session-based recommendations with recurrent neural networks.” arXiv preprint arXiv:1511.06939 (2015).
Reason:
- High-citation work, first work on utilizing RNN for Recommender systems.
- Clear presentation on problem, challenge, SoTA, and opportunities
Vaswani, Ashish, et al. “Attention is all you need.” Advances in neural information processing systems 30 (2017).
He, Kaiming, et al. “Deep residual learning for image recognition.” Proceedings of the IEEE conference on computer vision and pattern recognition. 2016.
Reason:
- High-citation work.