Below is a list of papers I've read at one point or another that are certified bangers. These are papers that I thought were well-written and enjoyable to read.

Obligatory Classics

• 1937 - On Computable Numbers, with an Application to the Entscheidungsproblem - A. M. Turing
• 1982 - Vision: A computational investigation into the human representation and processing of visual information (Ch. 1) - David Marr
• 1948 - A Mathematical Theory of Communication - C. E. Shannon
• 2016 - Mastering the game of Go with deep neural networks and tree search - Silver et al.
• 2018 - World Models - Ha & Schmidhuber
• 2020 - The Hardware Lottery - Sara Hooker
• 2022 - LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale - Dettmers et al.

Underrated All-Timers

• 2009 - Insect–Machine Interface Based Neurocybernetics - Bozkurt et al.
• 2018 - Machine Theory of Mind - Rabinowitz et al.
• 2023 - A playbook for systematically maximizing the performance of deep learning models - Godbole et al.
• 2023 - A Formal Perspective on Byte-Pair Encoding - Zouhar et al.
• 2023 - Architectures of Topological Deep Learning: A Survey of Message-Passing Topological Neural Networks - Papillon et al.
• 2023 - Are Emergent Abilities of Large Language Models a Mirage? - Schaeffer et al.