Papers

Papers with Notes:

• Intention Conditioned Value Functions (ICVF)
• Neural Acceleration of Graph Based Utility Functions for Sparse Matrices
• Neural Acceleration for Incomplete Factorization Preconditioning
• Grokking - Generalization Beyond Overfitting on Small Algorithmic Datasets
• Grokfast - Accelerated Grokking by Ampilfying Slow Gradients
• Evaluation of Pre-training LLMs on Leadership Class Supercomputers
• Every Model Learned by Gradient Descent Is Approximately a Kernel Machine
• Converting Neural Networks to Symbolic Models
• Iterative alpha-(de)blending
• Learning to Reach Goals via Iterated Supervised Learning
• Goal-Conditioned Supervised Learning
• Reward Conditioned Policies
• What if Neural Networks had SVDs?
• The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games
• Theories of Artificial Intelligence
• Different Conceptions of Learning
• Assumptions of Decision Making Models in AGI
• YuNet (Face Detector)
• K-SVD - Sparse Representation using Overcomplete Dictionaries

Minimal notes:

• Patches Are All You Need?
• Solving Offline Reinforcement Learning with Decision Tree Regression

Other articles:

• Principles of Beautiful Figures for Research Papers
• How To Find, Read, And Master Research Papers