Papers from the computer science community to read and discuss.
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Updated
Nov 8, 2024 - Shell
Papers from the computer science community to read and discuss.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
List of telegram groups, channels & bots // Список интересных групп, каналов и ботов телеграма // Список чатов для программистов
📚 A Collection of Free & Open Resources for University Coursework in Computer Science.
Reinforcement learning theory book about foundations of deep RL algorithms with proofs.
Course materials for Dartmouth course: Human Memory (PSYC 51.09)
A ReasonML/Ocaml library for category theory and abstract algebra
Coq formalizations of functional languages.
Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
Chromatone is a digital garden of visual music theory and a collection of visual music instruments
A structured collection of notes (mostly, on machine learning) and a Flask app for reading and searching them.
Codebase to accompany the book: A Hitchhiker’s Guide to Multiple Scattering
This paper list focuses on the theoretical and empirical analysis of language models, especially large language models (LLMs). The papers in this list investigate the learning behavior, generalization ability, and other properties of language models through theoretical analysis, empirical analysis, or a combination of both.
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