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This page lists a frequently updated collection of sources I've encountered and deemed valuable. Each page includes a title that links to the original source, along with any notes I've taken during reading.
An Architecture for Deep, Hierarchical Generative Models Neural Geometric Level of Detail Switch Transformers Github1s paint.wtf - A CLIP-based art contest WordsEye Mining gold from implicit models to improve likelihood-free inference Simulation-based inference: interpretability and experimental design Learning to Localize in New Environments from Synthetic Training Data DALL-E Contrastive Language–Image Pre-training (CLIP) BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference NeuralSim Augmenting Differentiable Simulators with Neural Networks Domain Randomization and Generative Models for Robotic Grasping Deep Transformers with Latent Depth Learning Structured Output Representation using Deep Conditional Generative Models An Interactive Introduction to Fourier Transforms - Great visual introduction to Fourier transforms A Hierarchical Multi-task Approach for Learning Embeddings from Semantic Tasks Decoupling Representation Learning from Reinforcement Learning Text-to-Image Generation Grounded by Fine-Grained User Attention Conditional Density Estimation with Neural Networks: Best Practices Fast non-parametric conditional density estimation Mastering Atari with Discrete World Models Learning Semantic-aware Normalization for Generative Adversarial Networks - Introduces SariGAN, new SOTA unconditional image generation A Survival Guide to a PhD - Advice from Andrej regarding PhD programs Metacontrol for Adaptive Imagination-Based Optimization Reinforcement Learning with Multi-Fidelity Simulators How McDonald's Really Makes Money Lex Podcast: Eric Weinstein 3 - Lex Fridman’s third interview with Eric Weinstein A Wholistic View of Continual Learning with Deep Neural Networks A Bayesian Perspective on Q-Learning DREAM Camera Calibration without Fiducial Markers Bezier Curves from the Ground Up Requests for Research 2.0 Discrete Latent Space World Models for Reinforcement Learning How to Pick a Career 9 months after my ICLR spotlight award, as an Independent Researcher - An update from independent research Andreas Madsen Likelihood-free MCMC with Amortized Approximate Likelihood Ratios On Contrastive Learning for Likelihood-free Inference The frontier of simulation-based inference Deep Ensemble Bayesian Active Learning Recurrent environment simulators Pyro (probabilistic programming language) Knowing What to Ask: Bayesian Active Learning Bayesian Active Learning for Posterior Estimation Hell yeah or no What might deep learners learn from probabilistic programming Adversarially Learned Inference Transformers for Image Recognition at Scale PixelCNN Sequential Neural Likelihood Automatic Posterior Transformation for Likelihood-free Inference What I learned from looking at 200 machine learning tools sbi package - SBI Python package Selenium Flexible statistical inference for mechanistic models Fast free inference of simulation models Uncyclopedia The Death of Corporate Research Labs Introduction to Learning to Trade with Reinforcement Learning TaBERT Pretraining for Joint Understanding of Textual and Tabular Data Undirected Graphical Models as Approximate Posteriors Hemingway Editor Lossless Compression of English Short Messages What is GPT-3 Differentiable Image Parameterizations Secular Stagnation and Why It Matters Geometric unity - AI Podcast NVAE Stock and Flow Hitting 100k On Github Sponsors Do the Real Thing Building AI Trading Systems GPT-3 Creative Fiction - Gwern’s writeup on experimentation with GPT-3 An Opinionated Guide to ML Research Hypothes.is The Bitter Lesson Image GPT GPT-3 You Weren't Meant to Have a Boss SageMath Penrose Avoiding the Global Lobotomy Agent57: Outperforming the human Atari benchmark Ask HN: What startup or technology is on your to watch list? Quantum Country Godel, Escher, Bach: An Eternal Golden Braid Reddit place Idea generation TikZJax Andys working notes How to Beat Procrastination When SimCity got serious The AI Economist Virtual creatures competition The Church of the Subgenius Toward Deep Reinforcement Learning without a Simulator: An Autonomous Steering Example Ask HN: How do you learn complex, dense technical information Nothing in Biology Makes Sense Except in the Light of Evolution matter.js Sparse transformers Sub-policy Adaptation for Hierarchical Reinforcement Learning Why You Should Start a Blog Right Now Local first software Meta-learning curiosity algorithms Neural radiance fields Writing a Book with Pandoc, Make, and Vim Ask HN: What is your blog and why should I read it How to Take Smart Notes With Org Mode ECON1021 Roam as a slip box Introducing Org Roam CSE511A Evil Mode Or, How I Learned to Stop Worrying and Love Emacs Roam Why I Love It and How I Use It How to Take Smart Notes The Zettelkasten Method How To Think Building a Second Brain - Notes from Tiago Forte’s popular approach to knowledge management Building a Second Brain in Roam Growing Neural Cellular Automata Seven Habits of Highly Effective People Evolving Floorplans Evolutionary Computation Bestiary pwn.college