Awesome List Updates on Jul 22, 2022

11 awesome lists updated today.

🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor

1. Awesome Browser Extensions for Github

github.expandinizr (⭐131)

Add breakpoints at 1400px, 1600px and 1800px for full GitHub experience on large screens. Also removes the truncating of file and directory names in the repository browser.

Installs: 2000 | Stars: 131 | Last update: n/a

2. Awesome Db Tools

SQL / Learning

• Advanced SQL Puzzles (⭐523) - Difficult set-based SQL puzzles.

• Hackerrank - Practice coding, prepare for interviews, and get hired.

• LeetCode - Enhance your skills, expand your knowledge and prepare for technical interviews.

• Select Star SQL - Free interactive book which aims to be the best place on the internet for learning SQL.

• StrataScratch - Data science educational resources.

• SQL Murder Mystery (⭐1.6k) - Self-directed lesson to learn SQL concepts and commands and a fun game for experienced SQL users to solve an intriguing crime.

SQL / Scripts

• DBA MultiTool (⭐88) - T-SQL scripts for the long haul: optimizing storage, on-the-fly documentation, and general administrative needs for SQL Server.

• pgx_scripts (⭐1.4k) - A collection of useful little scripts for database analysis and administration, created by our team at PostgreSQL Experts.

• pgsql-bloat-estimation (⭐490) - Queries to mesure statistical bloat in indexes and tables for PostgreSQL.

• pgWikiDont - SQL test that checks if your database follows rules from https://wiki.postgresql.org/wiki/Don't_Do_This.

• pg-utils (⭐972) - Useful PostgreSQL utilities.

• Postgres cheat sheet - Useful SQL-scripts and commands by <timescale.com>.

• postgres_dba (⭐1k) - The missing set of useful tools for Postgres DBAs and all engineers.

• postgres_queries_and_commands.sql - Useful PostgreSQL Queries and Commands.

• TPT (⭐632) - These sqlplus scripts are for Oracle Database performance optimization & troubleshooting.

3. Awesome Open Source Supporters

Miscellaneous

• Firezone requires-approval - Self-hosted remote access built on WireGuard.

4. Awesome Composer

Plugins / IRC

• Composer-Velocita (⭐28) - Fast and reliable Composer package downloads using Velocita (⭐61): a caching reverse proxy that does not require you to modify your projects.

5. Awesome Mac

Utilities / General Tools

• Etcher - Flash OS images to SD cards & USB drives, safely and easily.

6. Awesome Vue

Resources / Tutorials

• Developing a web application with Vue.js 3 and Vite.js (French) par Mickael Baron

• Deploying a web application powered by Vue.js 3 with Docker (French) par Mickael Baron

Components & Libraries / UI Utilities

• vorms (⭐516) - Vue Form Validate with Composition API.

7. Awesome Rust

Applications / Blockchain

• Holochain (⭐1.1k) - Scalable P2P alternative to blockchain for all those distributed apps you always wanted to build.

Applications / System tools

• pueue (⭐4.8k) - Manage your long running shell commands.

Libraries / Compression

• gzip
  • zopfli (⭐32) [zopfli] - implementation of the Zopfli compression algorithm for higher quality deflate or zlib compression

Libraries / Mobile

• Generic
  • Geal/rust_on_mobile (⭐172) - iOS CocoaPods / Android JNI
  • redbadger/crux (⭐1.6k) [crux_core] - Cross-platform app development. Crux helps you share your app's business logic and behavior across mobile (iOS/Android) and web - as a single reusable core.

8. Awesome Cpp

Websites

• C++ Tutorial for Beginners - A comprenhensive tutorial on C++ curated by trained experts.

9. Awesome Software Patreons

Open Source Projects

• Firezone - Self-hosted VPN server using WireGuard.

10. Awesome Zsh Plugins

Plugins / superconsole - Windows-only

• alehouse (⭐16) - Contains short aliases for brew commands, inspired by betterbrew.

• aws-cli-mfa (⭐20) - AWS CLI MFA plugin based on sweharris' aws-cli-mfa (⭐25). Supports specifying mfa_device in profile.

• aws-plugin (⭐2) - Adds helper functions for aws command. Includes mfa and assume-role helpers.

• boss-docker (⭐1) - Manages docker on macOS.

• bumblebee (⭐2) - A plugin to toggle prepending optirun in the command line.

• cdr (⭐16) - Easy setup of cdr for ZSH.

• chgo (⭐0) - Clone of chruby modified to make it easy to switch between multiple Go versions.

• declare-zsh (⭐7) - A parser for zinit (⭐2.9k) commands in .zshrc. It allows you to perform the following actions on .zshrc from the command-line - enable and disable plugins add or remove snippets.

• evil-registers (⭐40) - Extends ZLE vi commands to remotely access named registers of the vim and nvim editors, and system selection and clipboard.

• exa (zplugin) (⭐0) - replace ls with ogham/exa (⭐23k).

• f-shortcuts (⭐6) - Makes a shortcuts toolbar using F1 to F12 keys.

• fancy-ctrl-z (⭐19) - Broken out version of the version in oh-my-zsh so users of other frameworks don't have to import all of oh-my-zsh.

• get-jquery (⭐1) - Plugin for fast downloading the jQuery library from code.jquery.com.

• gimme (⭐2) - Manage Go installations with gimme (⭐702).

• git-aliases (mdumitru) (⭐30) - Broken out version of the version in oh-my-zsh so users of other frameworks don't have to import all of oh-my-zsh.

• git-is-clean (⭐1) - This function will return true or false depending on if it finds out your git repo is dirty or not.

• git-smart-commends-wrapper (⭐0) - Wraps git-smart-commands (⭐12) to make it compatible with the oh-my-zsh plugins system.

• history-popup (⭐0) - Captures the PageUp key and uses dialog to open a popup menu with the history, so the user can interactively navigate through it and pick the history line to bring back to the prompt.

• iterm2 (⭐10) - Packs iTerm 2's ZSH integration scripts into a ZSH plugin to avoid polluting your $HOME directory, with a negligible time increase of only 2ms.

• jenv-lazy (⭐6) - A ZSH plugin for lazy loading of jEnv.

• kitsunebook (⭐0) - KitsuneBook plugin for oh-my-zsh.

• last-working-dir-tmux (⭐1) - Keeps track of the last used working directory globally and per tmux (⭐34k) session and automatically jumps into it for new shells.

• lesaint-git (⭐0) - Replacement git plugin for oh-my-zsh-compatible frameworks.

• lesaint-mvn (⭐0) - Maven plugins for oh-my-zsh.

• lux (⭐32) - ZSH plugin to toggle the light & dark modes of macOS, iTerm 2, Visual Studio Code and other items and applications via the lux command. Highly customizable: included items can be configured by defining variables. Highly extensible: items can be added by defining functions. Includes a macos_is_dark helper function to determine if the macOS dark mode is active for use in theming.

• mercurial (⭐2) - Extracted from oh-my-zsh so you can use it without the rest of oh-my-zsh.

• pkenv (⭐1) - Installs and loads pkenv.

• plugin (⭐12) - Creates custom oh-my-zsh plugins from a boilerplate template. Very oh-my-zsh centric, the generated plugins will need editing to work with other frameworks.

• rvm (⭐2) - Initiates rvm (⭐5.1k) and adds rubygem binaries (like compass) accessible in the user's $PATH.

• virtualenv-mod (⭐1) - A modified virtualenv ZSH plugin for oh-my-zsh.

• virtualenv-prompt (⭐36) - A fork of the virtualenv plugin from upstream oh-my-zsh. Adds support for customizing the virtualenv prompt in oh-my-zsh themes.

• yadm (⭐9) - Displays a warning if there are local yadm configuration changes.

• yeoman (⭐40) - Edouard Lopez's Yeoman plugin for oh-my-zsh, compatible with yeoman version ≥1.0 (includes options and command auto-completion).

• zshmarks (⭐270) - A port of Bashmarks (by Todd Werth), a simple command line bookmarking plugin, for oh-my-zsh.

Themes / superconsole - Windows-only

• bearings (⭐195) - A fast, clean, super-customizable shell prompt. Includes decorators for current directory, git status, exit code of last command, duration of last command, background jobs & username.

• vehemence (⭐0) - Includes decorators for pwd, user@host, tty, time, last command exit code and git status.

11. Awesome Agi Cocosci

Abduction / Explanation

• Abduction - Plato Stanford. A computational philosophy account on Abduction, one of the three thinking patterns besides Induction and Deduction, being unique for its potential to introduce new ideas into current knowledge.

• Scientific Explanation - Plato Stanford. A computational philosophy account on Scientific Explanation, a canonical application of Abduction.

• Scientific Reduction - Plato Stanford. A computational philosophy account on Scientific Reduction, which comes with no explicit boundary with Explanation.

• Non-monotonic Logic - Plato Stanford. A computational philosophy account on Non-monotonic Logic, a family of formal frameworks devised to capture and represent defeasible inference.

• Philosophical Writings of Peirce - Courier Corporation, 1955. [All Versions]. Original writings by C. S. Peirce, the establisher of Abduction.

• The Inference to the Best Explanation - Philosophical Review, 1965. [All Versions]. Lipton's original paper on Inference to the Best Explanation as a special case of Abduction.

• Inference to the Best Explanation - Routledge, 1991. [All Versions]. Lipton's book on Inference to the Best Explanation as a special case of Abduction.

• A Study of Thinking - Routledge, 1956. [All Versions]. A classic book on thinking patterns.

• Abductive Reasoning and Learning - Springer, 2000. [All Versions]. An introductory account on abductive reasoning.

• Abductive Reasoning: Logical Investigations into Discovery and Explanation - Springer, 2006. [All Versions]. An introductory account on abductive reasoning.

• Explanation and Abductive Inference - The Oxford Handbook of Thinking and Reasoning, 2012. [All Versions]. A handbook on the formulations of Abduction.

• Probabilistic models of cognition: Conceptual foundations - Trends in Cognitive Sciences, 2006. [All Versions]. A Bayesian account of Abduction.

• The structure and function of explanations - Trends in Cognitive Sciences, 2006. [All Versions]. Basic computation modes of Abduction.

• Explanatory Preferences Shape Learning and Inference - Trends in Cognitive Sciences, 2016. [All Versions]. An account showing that inductive bias is critical for explanation.

• Explanation, updating, and accuracy - Journal of Cognitive Psychology, 2016. [All Versions].

• Best, second-best, and good-enough explanations: How they matter to reasoning - Journal of Experimental Psychology, 2018. [All Versions]. A subjective probability account of Abduction.

• How explanation guides belief change - Trends in Cognitive Sciences, 2021. [All Versions]. A review on the subjective probability account of Abduction.

• Patterns of abduction - Synthese, 2007. [All Versions]. A categorization for Abduction in the account of pure philosophy.

• On the distinction between Peirce's abduction and Lipton's Inference to the best explanation - Synthese, 2011. [All Versions].

• Probabilistic alternatives to Bayesianism: the case of explanationism - Frontiers in Psychology, 2015. [All Versions]. A non-Bayesian account of Abduction.

• A Probabilistic Theory of Abductive Reasoning - ICAART, 2021. [All Versions]. A probabilistic perspective for interpreting Abductive Reasoning.

• Abduction, Induction, and Analogy - Model-Based Reasoning in Science and Technology, 2010. [All Versions]. The distinctions and relations between Abduction, Induction, and Analogy.

• Remembrance of inferences past: Amortization in human hypothesis generation - Cognition, 2018. [All Versions]. A rational account of human hypothesis generation.

• Explanation-seeking curiosity in childhood - Current Opinion in Behavioral Sciences, 2020. [All Versions]. A piece of developmental pshchological evidence for Abduction in young children.

Abduction / Scientific Discovery

• Scientific Discovery - Plato Stanford. A computational philosophy account on Scientific Discovery, the process or product of successful scientific inquiry, sometimes an Abduction-like (Explanation) thinking pattern.

• Models of Discovery: And Other Topics in the Methods of Science - Springer, 1977. [All Versions]. The original book on search as scientific thinking.

• Scientific discovery: Computational explorations of the creative processes - MIT Press, 1987. [All Versions]. A computational account unifying Scientific Discovery with the creativity feature of Abduction.

• Induction: Processes of Inference, Learning, and Discovery - MIT Press, 1989. [All Versions]. An Induction account of Scientific Discovery.

• Dual Space Search During Scientific Reasoning - Cognitive Science, 1988. [All Versions]. The original paper on the dual space search as scientific thinking theory.

• Complexity Management in a Discovery Task - CogSci'92, 1992. [All Versions]. Advanced experiments on dual space search.

• A dual-space model of iteratively deepening exploratory learning - International Journal of Human-Computer Studies, 1996. [All Versions]. Iterative version (in depth and in width) of dual space search.

• Heuristics for Scientific Experimentation: A Developmental Study - Cognitive Psychology, 1993. [All Versions]. A piece of evidence on children have basic scientific thinking skills.

• A 4-Space Model of Scientific Discovery - CogSci'95, 1995. [All Versions]. Extending the dual space search.

• When to trust the data: Further investigations of system error in a scientific reasoning task - Memory & Cognition, 1996. [All Versions]. A behavioral account on the shift between bottom-up observation and top-down reasoning.

• Confirmation, disconfirmation, and information in hypothesis testing - Psychological Review, 1987. [All Versions]. A psychological account on hypothesis testing.

• Children and adults as intuitive scientists - Psychological Review, 1989. [All Versions]. A perspective against search as scientific thinking.

• Abduction and styles of scientific thinking - Synthese, 2021. [All Versions]. A computational philosophy account connecting Abduction and scientific thinking.

Abduction / Rationalization

• Imagination and the generation of new ideas - Cognitive Development, 2015. [All Versions]. A piece of evidence for rationalization in childhood.

• Coalescing the Vapors of Human Experience into a Viable and Meaningful Comprehension - CogSci'16, 2016. [All Versions]. Constrainted thinking as rationalization.

• How We Know What Not To Think - Trends in Cognitive Sciences, 2019. [All Versions]. A comprehensive review on rationalization.

• Rationalization is rational - Behavioral and Brain Sciences, 2020. [All Versions]. A rationality account on rationalization.

• Why Imaginary Worlds? The psychological foundations and cultural evolution of fictions with imaginary worlds - Behavioral and Brain Sciences, 2021. [All Versions]. A review of rationalization as imaginary worlds in fictions. The perspective proposes that imaginary worlds co-opt our preferences for exploration, which have evolved in humans and nonhuman animals alike, to propel individuals toward new environments and new sources of reward.

Abduction / Applications in AI

• Functional genomic hypothesis generation and experimentation by a robot scientist - Nature, 2004. [All Versions]. A canonical application of logical abduction on biodesign.

• Interpretation as abduction - Artificial Intelligence, 1993. [All Versions]. A computational account on interpretation as Abduction.

• Probabilistic Horn abduction and Bayesian networks - Artificial Intelligence, 1993. [All Versions]. Casual abduction in Bayesian networks.

• Abductive Logic Programming - Journal of Logic Computation, 1992. [All Versions]. The original paper in ALP.

• ACLP: Abductive Constraint Logic Programming - The Journal of Logic Programming, 1999. [All Versions]. The original paper in ACLP.

• Abduction in Logic Programming - Computational Logic, 2002. [All Versions]. The revised version of the ALP paper.

• Machine Translation Using Abductive Inference - COLING, 1990. [All Versions]. An application of abduction in language translating.

• Anomaly detection through explanations - Ph.D Dissertation MIT, 2018. [All Versions]. An application of abduction in anomaly detection.

Bayesian Modeling / Bayesian Induction

• Bayesian Epistemology - Plato Stanford. A computational philosophy account on the nature of uncertainty modeling in Bayesian Epistemology.

• Probabilistic machine learning and artificial intelligence - Nature, 2015. [All Versions]. Zoubin Ghahramani's review on Bayesian machine learning.

• Generalization, similarity, and Bayesian inference - Behavioral and Brain Sciences, 2001. [All Versions]. Josh Tenenbaum's review on Bayesian generalization.

• Bayesian modeling of human concept learning - NeurIPS'98, 1998. [All Versions]. Original paper on Bayesian generalization.

• Word learning as Bayesian inference - Psychological Review, 2007. [All Versions]. [APA]. Fei Xu's review on Bayesian word learning.

• Human-level concept learning through probabilistic program induction. - Science, 2015. [All Versions]. [Supplementary Material]. Bayesian program induction for few-shot learning.

Bayesian Modeling / Generative Model

• Filters, random fields and maximum entropy (FRAME): Towards a unified theory for texture modeling - International Journal of Computer Vision, 1998. [All Versions]. Song-Chun Zhu's original paper on energy-based generative texture modeling.

• Object Perception as Bayesian Inference - Annual Review of Psychology, 2004. [All Versions]. Alan Yuille's review on Bayesian object perception.

• A tale of three probabilistic families: Discriminative, descriptive, and generative models - Quarterly of Applied Mathematics, 2018. [All Versions]. Ying Nian Wu's review on three families of statistical modeling.

• From information scaling of natural images to regimes of statistical models - Quarterly of Applied Mathematics, 2008. [All Versions]. A statistical account for the shift from textons to texture.

• A Theory of Generative ConvNet - ICML'16, 2016. [All Versions].

• Learning Latent Space Energy-Based Prior Model - NeurIPS'20, 2020. [All Versions]. [Project]. [Code (⭐32)]. A milestone paper on Latent Energy-Based Model.

• Image segmentation by data-driven markov chain monte carlo - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2002. [All Versions]. Classic method for image segmentation via generative modeling.

• A Tutorial on Energy-Based Learning - Predicting Structured Data, MIT Press, 2006. [All Versiosn]. Yann LeCun's tutorial on energy-based learning.

• Analysis of Langevin Monte Carlo via Convex Optimization - Journal of Machine Learning Research, 2019. [All Versions].

• Where do hypotheses come from? - Cognitive Psychology, 2017. [All Versions]. A Bayesian account for modeling basic rules as the hypothesis space.

Bayesian Modeling / Nonparametric Model

• A Bayesian Analysis of Some Non-parametric Problems - The Annals of Statistics, 1973. [All Versions]. A classic review on non-parametric problems.

• Mixtures of Dirichlet Process with Applications to Bayesian Nonparametric Problems - The Annals of Statistics, 1974. [All Versions]. The original paper on Dirichlet Process modeling for non-parametric problems.

• Latent Semantic Indexing: A Probabilistic Analysis - Journal of Computer and System Sciences, 2000. [All Versions]. The original paper on hierarchical topic model.

• Finding scientific topics - Proceedings of the National Academy of Sciences, 2004. [All Versions]. Application on scientific paper ananlysis for hierarchical topic model.

• Hierarchical topic models and the nested Chinese restaurant process - NeurIPS'03, 2003. [All Versions]. The original paper for nested Chinese restaurant process.

• Infinite Latent Feature Models and the Indian Buffet Process - Gatsby Computational Neuroscience Unit Technical Report 2005-001, 2005. [All Versions].

• The Indian Buffet Process: An Introduction and Review - Journal of Machine Learning Research, 2011. [All Versions]. Tom Griffiths and Zoubin Ghahramani's review on infinite models, including the Chinese Restaurant Process (CRP) and the Indian Buffet Process (IBP).

• Nonparametric Bayesian Logic - UAI'05, 2005. [All Versions]. The first paper integrating logic into non-parametric model.

• Statistical Predicate Invention - ICML'07, 2007. [All Versions]. Treating predicate invention as a non-parametric problem, in the account of statistics.

Bayesian Modeling / Bayesian Optimization

• Practical Bayesian Optimization of Machine Learning Algorithms - NeurIPS'12, 2012. [All Versions]. The original paper for applying Bayesian optimization to machine learning hyperparameter selection.

• A Tutorial on Bayesian Optimization - 2018. [All Versions].

Complexity & Information Theory / Theory

• An introduction to Kolmogorov complexity and its applications - Springer, 2008. [All Versions]. The introductory book for Algorithmic Information Theory, especially the Kolmogorov complexity theory.

• Complexity and the representation of patterned sequences of symbols - Psychological Review, 1972. [All Versions]. Herbert Simon's review on subjective complexity.

• Algorithmic Information Theory - IBM Journal of Research and Development, 1977. [All Versions]. Chaitin's original paper on Algorithmic Information Theory.

Complexity & Information Theory / Dimensionality Reduction

• A global geometric framework for nonlinear dimensionality reduction - Science, 2000. [All Versions]. The original paper on spectrum clustering.

• Reducing the dimensionality of data with neural networks - Science, 2006. [All Versions]. The original paper on Variational Autoencoder.

• Representation Learning: A Review and New Perspectives - IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013. [All Versions]. Yoshua Bengio's review on representation learning.

• Representation Learning: A Statistical Perspective - Annual Review of Statistics and Its Application, 2020. [All Versions]. Song-Chun Zhu and Ying Nian Wu's review on representation learning, in an account of statistics.

• Deep Learning and the Information Bottleneck Principle - IEEE Information Theory Workshop'15, 2015. [All Versions]. The first paper identifying the problem of information bottleneck in representation learning.

• On the information bottleneck theory of deep learning - Journal of Statistical Mechanics: Theory and Experiment, 2019. [All Versions].

Complexity & Information Theory / Visual Complexity

• Visual complexity: a review - Psychological Bulletin, 2006. [All Versions]. [APA]. A psychological account on visual complexity.

• Seeing and speaking: How verbal “description length” encodes visual complexity - Journal of Experimental Psychology, 2022. [All Versions]. [APA]. Empirical evidencs showing the relation between visual complexity and description length.

• How variability shapes learning and generalization - Trends in Cognitive Sciences, 2022. [All Versions]. A comprehensive review on the trade-off between variability and generalization ability.

Communications / Non-Verbal Communication

• The Interactive Evolution of Human Communication Systems - Cognitive Science, 2010. [All Versions]. Nicolas Fay's original paper on iconicity.

• Iconicity: From sign to system in human communication and language - Pragmatics & Cognition, 2014. [All Versions]. This paper explores the role of iconicity in spoken language and other human communication systems.

• Graphical Language Games: Interactional Constraints on Representational Form - Cognitive Science, 2007. [All Versions]. The first paper introducing the graphical language game.

• Pixelor: A Competitive Sketching AI Agent. So you think you can beat me? - ACM SIGGRAPH'20, 2020. [All Versions]. [Project]. Rationality in feature sketching.

• Pragmatic Inference and Visual Abstraction Enable Contextual Flexibility During Visual Communication - Computational Brain & Behavior, 2020. [All Versions]. A computational account on the rational behavior in graphical language games.

• Communicating artificial neural networks develop efficient color-naming systems - Proceedings of the National Academy of Sciences, 2021. [All Versions]. Simulating the emergence of code as the communication bottleneck in color learning task.

• Bridging cultural and cognitive perspectives on similarity reasoning - CogSci'22, 2022. [All Versions].

• Twelve-month-olds communicate helpfully and appropriately for knowledgeable and ignorant partners - Cognition, 2008. [All Versions]. The original paper on child pointing.

Communications / Pragmatics

• Pragmatics - Plato Stanford. A computational philosophy account of Pragmatics, whilch studies utterances in specific contexts.

• Predicting Pragmatic Reasoning in Language Games - Science, 2012. [All Versions]. The original paper on Rational Speech Act (RSA).

• Pragmatic Language Interpretation as Probabilistic Inference - Trends in Cognitive Sciences, 2016. [All Versions]. Noah Goodman and Micheal Frank's review on Rational Speech Act.

• Processing gradable adjectives in context: A visual world study - Semantics and Linguistic Theory, 2016. [All Versions]. Adjective understanding as a rational inference in the context.

• Social Pragmatics: Preschoolers Rely on Commonsense Psychology to Resolve Referential Underspecification - Child Development, 2019. [All Versions]. A piece of evidence for children's capability on social pragmatics.

• Disentangling contributions of visual information and interaction history in the formation of graphical conventions - CogSci'19, 2019. [All Versions].

Communications / Language Compositionality

• Compositionality - Plato Stanford. A computational philosophy account on compositionality, one of the distinctive feature of language.

• The Principle of Semantic Compositionality - Topoi, 1994. [All Versions]. The original paper on the principle of semantic compositionality.

• On The Emergence Of Compositionality - Proceedings of the Evolution of Language Conference'06, 2006. [All Versions]. The original paper on the emergence of compositionality.

• Multi-Agent Cooperation and the Emergence of (Natural) Language - ICLR'17, 2017. [All Versions]. The original paper on the emergence of language in multi-agent reinforcement learning.

Problem Solving / Human-Level Problem Solving

• Elements of a theory of human problem solving - Psychological Review, 1958. [All Versions]. Herbert Simon's original idea on human problem solving.

• Human Problem Solving - Englewood Cliffs, NJ: Prentice-hall, 1972. [All Versions]. Herbert Simon's classic idea of human problem solving as search.

• Judgment under Uncertainty: Heuristics and Biases: Biases in judgments reveal some heuristics of thinking under uncertainty - Science, 1974. [All Versions]. Daniel Kahneman's classic idea of prospective theory.

• Computational evidence for hierarchically structured reinforcement learning in humans - Proceedings of the National Academy of Sciences, 2020. [All Versions]. A piece of evidence on hierarchical human planning.

• People construct simplified mental representations to plan - Nature, 2022. [All Versions]. A computational account on rational problem representation in human planning.

• Rapid trail-and-error learning with simulation supports flexible tool use and physical reasoning. - Proceedings of the National Academy of Sciences, 2020. [All Versions]. [Project]. [Appendix]. A computational account on rapid trail-and-error problem solving with a noisy prior model.

• Insightful problem solving and creative tool modification by captive nontool-using rooks - Proceedings of the National Academy of Sciences, 2009. [All Versions]. [Supplementary Material]. A piece of evidence on creative tool use in intelligent animals.

Problem Solving / Planning

• From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning - Journal of Artificial Intelligence Research, 2018. [All Versions]. Leslie Kaelbling's review on hierarchical Task-and-Motion-Planning (hierarchical TAMP).

• Integrated Task and Motion Planning - Annual Review of Control, Robotics, and Autonomous Systems, 2021. [All Versions]. Leslie Kaelbling's review on Task-and-Motion-Planning (TAMP).

• Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning - Robotics: Science and Systems, 2018. [All Versions].

Problem Solving / Intrinsic Motivation

• Intrinsically Motivated Reinforcement Learning - NeurIPS'04, 2004. [All Versions]. A comprehensive review on intrinsic reward functions in classic reinforcement learning.

• Adapting Behavior via Intrinsic Reward: A Survey and Empirical Study - Journal of Artificial Intelligence Research, 2020. [All Versions].

• Curiosity-driven Exploration by Self-supervised Prediction - ICML'17, 2017. [All Versions]. The original paper on curiosity as intrinsic motivation.

• UCB Exploration via Q-Ensembles - 2017. [All Versions].

• Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning - NeurIPS'15, 2015. [All Versions]. The original paper on empowerment as intrinsic motivation.

Problem Solving / Reinforcement Learning

• Reinforcement learning: An introduction - MIT Press, 2018. [All Versions]. Richard Sutton's comprehensive book on reinforcement learning.

• Reinforcement learning: A survey - Journal of Artificial Intelligence Research, 1996. [All Versions]. Leslie Kaelbling's review on reinforcement learning.

• Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning - Artificial Intelligence, 1999. [All Versions]. The original paper on operation reinforcement learning.

• On Monte Carlo Tree Search and Reinforcement Learning - Journal of Artificial Intelligence Research, 2017. [All Versions].

• Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review - 2018. [All Versions]. [Slides]. Sergey Levine's tutorial on treating reinforcement learning probabilisticly.

• Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability - NeurIPS'21, 2021. [All Versions]. A formal treatment on the generalization problem in reinforcement learning.

• Constrained Policy Optimization - ICML'17, 2017. [All Versions]. The original paper on constrained reinforcement learning (safe reinforcement learning).

• The Quest for a Common Model of the Intelligent Decision Maker - Multi-disciplinary Conference on Reinforcement Learning and Decision Making'22, 2022. [All Versions]. Richard Sutton's perspective on the future directions of reinforcement learning research.

Problem Solving / Inverse Reinforcement Learning

• Apprenticeship Learning via Inverse Reinforcement Learning - ICML'04, 2004. [All Versions]. Pieter Abbeel and Andrew Ng's original paper on inverse reinforcement learning (IRL).

Science Logology / AI Assisted Research

• Highly accurate protein structure prediction with AlphaFold - Nature, 2021. [All Versions]. This paper provides the first computational method that can regularly predict protein structures with atomic accuracy even in cases in which no similar structure is known. This approach is a canonical application of observation- and explanation- based method for protein structure prediction instead of first-principle-based methods.

Learning with Cognitive Plausibility / Commonsense Knowledgebase

• Accuracy and Precision - Wikipedia. Wikipedia on the distinctions and the trade-off between accuracy and precision.

• Recognition-by-Components: A Theory of Human Image Understanding - Psychological Review, 1987. [All Versions]. The original paper on the recognition-by-components theory.

• Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense - Engineering, 2020. [All Versions]. Yixin Zhu and Song-Chun Zhu's review on visual commonsense.

• Self-supervised Learning Through the eyes of a Child - NeurIPS'20, 2020. [All Versions]. Concept learning through near-natural co-occurrence frequency estimation.

• BONGARD-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning - NeurIPS'20, 2020. [All Versions].

• Learning and development in networks: The importance of starting small. - Cognition, 1993. [All Versions]. The original paper on the idea of curriculum learning.

• Curriculum Learning - ICML'09, 2009. [All Versions]. The original paper applying the idea of curriculum learning to machine learning.

• Inferring "Dark Matter" and "Dark Energy" from Videos - ICCV'13, 2013. [All Versions]. The original paper on latent state discovery from videos.

Paper Reading / Commonsense Knowledgebase

• How to Read a Paper - ACM SIGCOMM Computer Communication Review, 2007. [All Versions]. A comprehensive tutorial on reading scientific papers.

Literature Management / Commonsense Knowledgebase

• Construction of the Literature Graph in Semantic Scholar - NAACL'18, 2018. [All Versions]. Semantic Scholar with extracting feature and metadata from raw paper data.

• S2ORC: The Semantic Scholar Open Research Corpus - ACL'20, 2020. [All Versions]. An open corpus of academic papers released by Semantic Scholar.

• StateOfTheArt.AI - StateOfTheArtAI. For tracking, collecting and visualizing the development of AI research.

Knowledge Management / Commonsense Knowledgebase

• Knowledge organization - Wikipedia. Wikipedia on knowledge organization methods.

• Zettelkasten - Wikipedia. Wikipedia on the Zettelkasten method.

• Roam Research - Roam Research. For linked document management, visualization, and sharing.

• Foam - Foambubble. For linked document management, visualization, and sharing, opensourced softward built on VSCode.

• Building a Second Brain - Forte Labs, LLC. Connecting ideas in graphs.

• Prev: Jul 23, 2022
• Next: Jul 21, 2022