Welcome to UTMIST’s paper reading group :)
This group is a guided discussion group on awesome machine learning research papers. We meet monthly to review a paper that we choose together. Overall, there is a lot of flexibility, and suggestions are more than welcome. The purpose of the reading group is to gently introduce undergraduates to the beauty of theory, expose people to the very frontier of research, and answer questions such as “but why? why the schmidhuber does this work?”. If you are interested, register here to receive email notifications!
Basically, papers are chosen at the start of each month, and meetings happen on the last Saturday of each month.
|2021/09/25||Deep Residual Learning for Image Recognition (He et al, 2016)||recording||slides|
|2021/10/30||Attention Is All You Need (Vaswani et al, 2017)||recording||slides||OpenAI Beta, GPT3 interview, more in slides|
|2021/11/27||Guest speaker talk||recording||N/A|
|2022/01/29||Highly accurate protein structure prediction with AlphaFold (Jumper et al, 2021)||recording||slides||Colab notebook|
|2022/02/26||Auto-encoding Variational Bayes (Kingma & Welling, 2013)||Zoom link|
If you have suggestions for the next paper to read, or any suggestions at all, please reach out to me on Discord!