Papers discussed in 2021
|
Date |
Title |
Authors |
Grade Science |
Grade Readability |
|
17.12.2021 |
Turing lecture: Deep Learning for AI |
Yoshua Bengio, Yann Lecun, Geoffrey Hinton |
no vote |
no vote |
|
03.12.2021 |
Jaakko Lehtinen, Jacob Munkberg, Jon Hasselgren, Samuli Laine, Tero Karras, Miika Aittala, Timo Aila |
5.63 |
5.13 |
|
19.11.2021 |
Sayash Kapoor, Arvind Narayanan |
5.38 |
5.92 |
|
12.11.2021 |
Reconciling modern machine-learning practice and the classical bias–variance trade-off |
Mikhail Belkin, Daniel Hsu, Siyuan Ma, and Soumik Mandal |
5.31 |
5.5 |
|
16.07.2021 |
Wang, Skerry-Ryan, Stanton, Wu, Weiss, Jaitly, Yang, Xiao, Chen, Bengio, Le, Agiomyrgiannakis,Clark, Saurous |
2.3 |
2 |
|
16.07.2021 |
Pennington, Socher, Manning |
6 |
4.89 |
|
18.06.2021 |
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks |
Tan, Le |
3.36 |
4.09 |
|
04.06.2021 |
CNN Fixations: An unraveling approach to visualize the discriminative image regions |
Mopuri, Garg, Babu |
3.09 |
4 |
|
21.05.2021 |
Kirkpatrick, Pascanu, Rabinowitz, Veness, Desjardins, Rusu, Milan, Quan, Ramalho, Grabska-Barwinska, Hassabis, Clopath, Kumaran, Hadsell |
4.92 |
5.2 |
|
30.04.2021 |
Cong, Xi, De Man, Wang |
3.33 |
3.92 |