learning-theory

#计算机科学#Fast and flexible AutoML with learning guarantees.

#计算机科学#Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

🔬 Research Framework for Single and Multi-Players 🎰 Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-playe...

#Awesome#Repository for collection of research papers on privacy.

Distributional Generalization in NLP. A roadmap.

#计算机科学#AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

#计算机科学#Model Zoos for Continual Learning (ICLR 22)

#学习与技能提升#Formal Psychological Models of Categorization and Learning

#计算机科学#Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)

#计算机科学#Scinis-learn is a package of non-OOP functions for Machine Learning developed by young Moroccan AI engineering students from scratch.

Code for paper "Efficient Sparse Coding using Hierarchical Riemannian Pursuit," in IEEE Transactions on Signal Processing, Y. Xue, V. K. N. Lau and S. Cai, doi: 10.1109/TSP.2021.3093769.

#UAI2020 Codes for PAC-Bayesian Contrastive Unsupervised Representation Learning

#计算机科学#Solutions and Codes Example for Assignments of Machine Learning Foundation, Fall 2020, National Taiwan University

Official implementation of On-Demand Sampling: Learning Optimally from Multiple Distributions (Neurips 2022)

A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)

Implementation of https://arxiv.org/abs/2106.03027

Official code for Paper: "Can One Modality Model Synergize Training of Other Modality Models?" implemented in PyTorch

source code of NeurIPS 2021 paper: "Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound"

A program that learns your polynomial using just two queries

#计算机科学#PAC-Bayesian Binary Activated Deep Neural Networks