| A Simple Neural Network Module for Relational Reasoning - Adam Santoro | Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap | NeurIPS | 2017 | to be read | — | https://arxiv.org/abs/1706.01427 |
| A Tutorial Introduction to the Minimum Description Length Principle - Peter Grunwald | Peter Grunwald | arXiv | 2004 | to be read | — | https://arxiv.org/abs/math/0406077 |
| Attention Is All You Need - Ashish Vaswani | Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin | NeurIPS | 2017 | to be read | — | https://arxiv.org/abs/1706.03762 |
| Computing Machinery and Intelligence - Alan Turing | Alan Turing | Mind | 1950 | read | 8.5 | https://courses.cs.umbc.edu/471/papers/turing.pdf |
| Deep Residual Learning for Image Recognition - Kaiming He | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | CVPR | 2016 | to be read | — | https://arxiv.org/abs/1512.03385 |
| Deep Speech 2 End-to-End Speech Recognition in English and Mandarin - Dario Amodei | Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Shubho Sengupta, Jonathan Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu | ICML | 2016 | to be read | — | https://arxiv.org/abs/1512.02595 |
| E(n) Equivariant Graph Neural Networks - Victor Garcia Satorras | Victor Garcia Satorras, Emiel Hoogeboom, Max Welling | ICML | 2021 | to be read | — | https://proceedings.mlr.press/v139/satorras21a.html |
| Exploring Transition States of Protein Conformational Changes via Out-of-Distribution Detection in the Hyperspherical Latent Space | Bojun Liu, Jordan G. Boysen, Ilona Christy Unarta, Xuefeng Du, Yixuan Li, Xuhui Huang | Nature Communications | 2025 | to be read | — | https://doi.org/10.1038/s41467-024-55228-4 |
| GotenNet Rethinking Efficient 3D Equivariant Graph Neural Networks - Sarp Aykent | Sarp Aykent, Tian Xia | ICLR | 2025 | to be read | — | https://openreview.net/forum?id=5wxCQDtbMo |
| GPipe Easy Scaling with Micro-Batch Pipeline Parallelism - Yanping Huang | Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen | NeurIPS | 2019 | to be read | — | https://arxiv.org/abs/1811.06965 |
| Identity Mappings in Deep Residual Networks - Kaiming He | Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun | ECCV | 2016 | to be read | — | https://arxiv.org/abs/1603.05027 |
| ImageNet Classification with Deep Convolutional Neural Networks - Alex Krizhevsky | Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton | NeurIPS | 2012 | to be read | — | https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks |
| Keeping Neural Networks Simple by Minimizing the Description Length of the Weights - Geoffrey E Hinton | Geoffrey E. Hinton, Drew van Camp | COLT | 1993 | to be read | — | https://www.cs.toronto.edu/~hinton/absps/colt93.pdf |
| Machine Super Intelligence - Shane Legg | Shane Legg | PhD thesis, Universita della Svizzera italiana | 2008 | to be read | — | https://www.vetta.org/documents/Machine_Super_Intelligence.pdf |
| Multi-Scale Context Aggregation by Dilated Convolutions - Fisher Yu | Fisher Yu, Vladlen Koltun | ICLR | 2016 | to be read | — | https://arxiv.org/abs/1511.07122 |
| Neural Machine Translation by Jointly Learning to Align and Translate - Dzmitry Bahdanau | Dzmitry Bahdanau, Kyunghyun Cho, Yoshua Bengio | ICLR | 2015 | to be read | — | https://arxiv.org/abs/1409.0473 |
| Neural Message Passing for Quantum Chemistry - Justin Gilmer | Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl | ICML | 2017 | to be read | — | https://arxiv.org/abs/1704.01212 |
| Neural Turing Machines - Alex Graves | Alex Graves, Greg Wayne, Ivo Danihelka | arXiv | 2014 | to be read | — | https://arxiv.org/abs/1410.5401 |
| Order Matters Sequence to Sequence for Sets - Oriol Vinyals | Oriol Vinyals, Samy Bengio, Manjunath Kudlur | ICLR | 2016 | to be read | — | https://arxiv.org/abs/1511.06391 |
| Pointer Networks - Oriol Vinyals | Oriol Vinyals, Meire Fortunato, Navdeep Jaitly | NeurIPS | 2015 | to be read | — | https://arxiv.org/abs/1506.03134 |
| Quantifying the Rise and Fall of Complexity in Closed Systems The Coffee Automaton - Scott Aaronson | Scott Aaronson, Sean M. Carroll, Lauren Ouellette | arXiv | 2014 | to be read | — | https://arxiv.org/abs/1405.6903 |
| Recurrent Neural Network Regularization - Wojciech Zaremba | Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals | arXiv | 2014 | to be read | — | https://arxiv.org/abs/1409.2329 |
| Relational Recurrent Neural Networks - Adam Santoro | Adam Santoro, Ryan Faulkner, David Raposo, Jack Rae, Mike Chrzanowski, Theophane Weber, Daan Wierstra, Oriol Vinyals, Razvan Pascanu, Timothy Lillicrap | NeurIPS | 2018 | to be read | — | https://arxiv.org/abs/1806.01822 |
| Scaling Laws for Neural Language Models - Jared Kaplan | Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, Dario Amodei | arXiv | 2020 | to be read | — | https://arxiv.org/abs/2001.08361 |
| VAMPnets for Deep Learning of Molecular Kinetics - Andreas Mardt | Andreas Mardt, Luca Pasquali, Hao Wu, Frank Noé | Nature Communications | 2018 | to be read | — | https://doi.org/10.1038/s41467-017-02388-1 |
| Variational Lossy Autoencoder - Xi Chen | Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel | ICLR | 2017 | to be read | — | https://arxiv.org/abs/1611.02731 |