Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer

Dennis Y. H. Wu, Dinan Lin, Vincent Chen, Hung-Hsuan Chen. Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer. In The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022. OpenReview.net, 2022. [doi]

@inproceedings{WuLCC22,
  title = {Associated Learning: an Alternative to End-to-End Backpropagation that Works on CNN, RNN, and Transformer},
  author = {Dennis Y. H. Wu and Dinan Lin and Vincent Chen and Hung-Hsuan Chen},
  year = {2022},
  url = {https://openreview.net/forum?id=4N-17dske79},
  researchr = {https://researchr.org/publication/WuLCC22},
  cites = {0},
  citedby = {0},
  booktitle = {The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022},
  publisher = {OpenReview.net},
}