Hacker Papers

1. 276
   

   Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

   Felipe Petroski Such et al. · 2017

   Hacker News threads

   • Dec 2017Genetic Algorithms for Training Deep Neural Networks for Reinforcement Learning
   • Dec 2017Evolving Simple Organisms
   • Jun 2018Playing Atari with Six Neurons
   • Jul 2018Deep Learning and Free Software

   arXiv ↗
2. 277
   

   BrainNet: A Multi-Person Brain-to-Brain Interface for Direct Collaboration Between Brains

   Linxing Preston Jiang et al. · 2018

   Hacker News threads

   • Sep 2018BrainNet: A Multi-Person Brain-To-Brain Interface for Direct Collaboration
   • Oct 2018BrainNet: A Brain-To-Brain Interface for Direct Collaboration Between Brains
   • Oct 2018BrainNet: A Multi-Person Brain-To-Brain Interface
   • Jul 2019Three people play a Tetris-like game using a brain-to-brain interface
   • Apr 2021Is it true? Can Covid-19 vaccines connect me to the internet?
   • Aug 2022Lex Fridman Podcast #309 – John Carmack

   arXiv ↗
3. 278
   

   SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

   Po-Wei Wang et al. · 2019

   Hacker News threads

   • Jun 2019SATNet: Bridging deep learning and logical reasoning with differentiable SAT
   • May 2020Symbolic mathematics finally yields to neural networks
   • Jun 2020Deep Learning – The “Why” Question (2018)
   • Dec 2022Do Simpler Machine Learning Models Exist and How Can We Find Them?

   arXiv ↗
4. 279
   

   Chaff Bugs: Deterring Attackers by Making Software Buggier

   Zhenghao Hu et al. · 2018

   Hacker News threads

   • Aug 2018Chaff Bugs: Deterring Attackers by Making Software Buggier
   • Apr 2022Chaff Bugs: Deterring Attackers by Making Software Buggier (2018)
   • Jan 2021Chaff Bugs: Deterring Attackers by Making Software Buggier
   • Aug 2018Ask HN: What are the most interesting emerging fields in computer science?
   • Feb 2021The U.S. Spent $2.2M on Security System That Wasn’t Implemented
   • Jul 2022On the use of a life (2020)

   arXiv ↗
5. 280
   

   Robust Physical-World Attacks on Deep Learning Models

   Kevin Eykholt et al. · 2017

   Hacker News threads

   • Jul 2017Robust Physical-World Attacks on Machine Learning Models
   • Mar 2020Robust Physical-World Attacks on Deep Learning Models (2018)
   • Feb 2018Chinese police don high-tech glasses to nab suspects
   • Mar 2018LiDAR scans are finding hidden Roman roads and cutting crime
   • Feb 2020Hackers tricked Teslas into speeding with 2-inch strip of tape on a 35-MPH sign

   arXiv ↗
6. 281
   

   A Fast x86 Implementation of Select

   Prashant Pandey et al. · 2017

   Hacker News threads

   • Oct 2018A Fast x86 Implementation of Select (2017) [pdf]
   • Jun 2017A Fast X86 Implementation of Select
   • May 2020Broadword Implementation of Rank/Select Queries [pdf]
   • Jun 2021The NSA Instruction (2019)
   • Mar 2025Succinct data structures

   arXiv ↗
7. 282
   

   The Spy in the Sandbox -- Practical Cache Attacks in Javascript

   Yossef Oren et al. · 2015

   Hacker News threads

   • Mar 2015The Spy in the Sandbox: Practical Cache Attacks in JavaScript
   • Apr 2015The Spy in the Sandbox – Practical Cache Attacks in JavaScript
   • Apr 2015Using JavaScript to Read L3 CPU Cache [pdf]
   • Jul 2016The Browser Is the Worst Sandbox Ever Designed
   • Apr 2017Blink-dev – Intent to Ship: SharedArrayBuffer
   • Sep 2017LLVM 5.0.0 Release

   arXiv ↗
8. 283
   

   Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution

   Judea Pearl · 2018

   Hacker News threads

   • Jan 2018Theoretical Impediments to Machine Learning with Seven Sparks from Causality
   • Jan 2018Alibaba neural network defeats human in global reading test
   • Apr 2018Artificial Intelligence with Erlang: The Domain of Relatives (2007)
   • Jul 2025AGI Is Mathematically Impossible (3): Kolmogorov Complexity

   arXiv ↗
9. 284
   

   Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex

   Jeff Hawkins, Subutai Ahmad · 2015

   Hacker News threads

   • Nov 2015Why Neurons Have Thousands of Synapses: a Theory of Sequence Memory in Neocortex
   • Nov 2015Single Artificial Neuron Taught to Recognize Hundreds of Patterns
   • Jun 2019Ask HN: New Neural Network Primitives?
   • Apr 2022How to Pursue a Career in Brain-Based AI

   arXiv ↗
10. 285
    

    Scalable Bayesian Optimization Using Deep Neural Networks

    Jasper Snoek et al. · 2015

    Hacker News threads

    • Sep 2015Scalable Bayesian Optimization Using Deep Neural Networks
    • Feb 2015Scalable Bayesian Optimization Using Deep Neural Networks
    • Dec 2015Likelihood for Gaussian Processes
    • Jun 2016Computer Vision Research: The deep “depression”
    • Jan 2019A Visual Exploration of Gaussian Processes

    arXiv ↗
11. 286
    

    Fansmitter: Acoustic Data Exfiltration from (Speakerless) Air-Gapped Computers

    Mordechai Guri et al. · 2016

    Hacker News threads

    • Jun 2016Fansmitter: Acoustic Data Exfiltration from Speakerless Air-Gapped Computers
    • Jul 2017The Adventures of AV and the Leaky Sandbox [pdf]
    • Jul 2025AI comes up with bizarre physics experiments, but they work
    • Dec 2025How I discovered a hidden microphone on a Chinese NanoKVM

    arXiv ↗
12. 287
    

    PathNet: Evolution Channels Gradient Descent in Super Neural Networks

    Chrisantha Fernando et al. · 2017

    Hacker News threads

    • Feb 2017PathNet: Evolution Channels Gradient Descent in Super Neural Networks
    • Feb 2017PathNet: Evolution Channels Gradient Descent in Super Neural Networks
    • Mar 2017DeepMind's PathNet – potentially describing how general AI will look like
    • Feb 2017DeepMind just published a mind blowing paper: PathNet
    • Mar 2017Elon Musk’s Neuralink wants to boost the brain to keep up with AI
    • Jun 2020Neurons that fire together, wire together, but how?

    arXiv ↗
13. 288
    

    Deep Voice: Real-time Neural Text-to-Speech

    Sercan O. Arik et al. · 2017

    Hacker News threads

    • Mar 2017Deep Voice: Real-Time Neural Text-To-Speech (2017)
    • Feb 2017Deep Voice: Real-Time Neural Text-To-Speech
    • Feb 2017Deep Voice: Real-Time Neural Text-To-Speech for Production
    • Mar 2017Deep Voice: Real-Time Neural Text-To-Speech
    • Oct 2024Were RNNs all we needed?

    arXiv ↗
14. 289
    

    Gradient-based Hyperparameter Optimization through Reversible Learning

    Dougal Maclaurin et al. · 2015

    Hacker News threads

    • Feb 2016Gradient-Based Hyperparameter Optimization Through Reversible Learning
    • May 2015Keras: Fast Deep Learning Prototyping for Python
    • Oct 2019Gradient Descent: The Ultimate Optimizer
    • Jun 2025How can AI researchers save energy? By going backward

    arXiv ↗
15. 290
    

    Consistently faster and smaller compressed bitmaps with Roaring

    Daniel Lemire et al. · 2016

    Hacker News threads

    • Nov 2024Consistently faster and smaller compressed bitmaps with Roaring (2016)
    • Aug 2020Simdjson: Parsing gigabytes of JSON per second
    • Apr 2022A Better Compressed Bitset
    • Jan 2025Lossless Compression of Vector IDs for Approximate Nearest Neighbor Search

    arXiv ↗
16. 291
    

    Ternary circuits: why R=3 is not the Optimal Radix for Computation

    Daniel Etiemble · 2019

    Hacker News threads

    • Jan 2024Ternary circuits: R=3 is not the Optimal Radix for Computation (2019)
    • Feb 2020Iota cryptocurrency shuts down entire network after wallet hack
    • Feb 2021The Ternary Manifesto (2012)
    • Aug 2024Base 3 Computing Beats Binary

    arXiv ↗
17. 292
    

    When Will AI Exceed Human Performance? Evidence from AI Experts

    Katja Grace et al. · 2017

    Hacker News threads

    • May 2017When Will Machines Exceed Human Performance? Survey of ML Researchers.
    • May 2017When Will AI Exceed Human Performance? Evidence from AI Experts
    • May 2017AlphaGo's next move
    • Oct 2017There's No Fire Alarm for Artificial General Intelligence
    • Mar 2021Multimodal Neurons in Artificial Neural Networks

    arXiv ↗
18. 293
    

    Relational inductive biases, deep learning, and graph networks

    Peter W. Battaglia et al. · 2018

    Hacker News threads

    • Oct 2018Relational inductive biases, deep learning, and graph networks
    • Dec 2024Relational inductive biases, deep learning, and graph networks
    • Jun 2018Chatbots were the next big thing: what happened?
    • Aug 20182018 Fields Medal and Nevanlinna Prize Winners
    • Aug 2019Model-Based Reinforcement Learning for Atari

    arXiv ↗
19. 294
    

    Behavior Trees in Robotics and AI: An Introduction

    Michele Colledanchise, Petter Ögren · 2017

    Hacker News threads

    • Mar 2021Behavior Trees in Robotics and AI
    • Jan 2021Behavior Trees in Robotics and AI: An Introduction
    • Dec 2023Behavior trees in robotics and AI: An Introduction [book]
    • Mar 2021FSL: A programming language to make complex finite state machines easy to create
    • Apr 2024Survey Study on AI Agent Architectures (2024)
    • Nov 2025Creating Rimworld Mods to Add LLM PCG and LLM NPCs to Enhance Its RPG Elements

    arXiv ↗
20. 295
    

    Do be do be do

    Sam Lindley et al. · 2016

    Hacker News threads

    • Mar 2024Do be do be do (2017) [pdf]
    • Aug 2018Do Be Do Be Do
    • May 2019The C language is purely functional (2009)
    • Mar 2023Effing-mad, an effect library for Rust
    • Jan 2024scrapscript.py

    arXiv ↗
21. 296
    

    On the statistical properties and tail risk of violent conflicts

    Pasquale Cirillo, Nassim Nicholas Taleb · 2015

    Hacker News threads

    • Feb 2017Violence Has Not Been Declining Over Time
    • Nov 2015On the statistical properties and tail risk of violent conflicts
    • Mar 2018The PowerPoint Philosophe: Waiting for Steven Pinker’s Enlightenment
    • Jul 2022Voyager suspends trading, deposits, withdrawals, and loyalty rewards
    • Feb 2024Stephen Wolfram – 4-Hour Conversational Documentary on My Entire Arc of Life [video]

    arXiv ↗
22. 297
    

    DRAW: A Recurrent Neural Network For Image Generation

    Karol Gregor et al. · 2015

    Hacker News threads

    • Feb 2015DRAW: A Recurrent Neural Network For Image Generation [pdf]
    • Feb 2015DRAW: A Recurrent Neural Network for Image Generation [pdf]
    • Sep 2015Towards universal neural nets: Gibbs machines and ACE
    • Sep 2016Image Compression with Neural Networks
    • Feb 2020JPEG Committee releases a call for evidence for image compression based on AI

    arXiv ↗
23. 298
    

    An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

    Shaojie Bai et al. · 2018

    Hacker News threads

    • Mar 2018TCNs are better than RNNs
    • Mar 2018Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling
    • Aug 2018An Empirical Evaluation of Generic CNN and RNN for Sequence Modeling
    • Jun 2018Keras vs PyTorch
    • Aug 2018Ask HN: Convolutional VS Recurrent/LSTM/GRU neural networks
    • Dec 2018What Kagglers Are Using for Text Classification

    arXiv ↗
24. 299
    

    Reinforcement Learning Neural Turing Machines - Revised

    Wojciech Zaremba, Ilya Sutskever · 2015

    Hacker News threads

    • May 2015Reinforcement Learning Neural Turing Machines
    • Jun 2015Reinforcement Learning Neural Turing Machines
    • May 2015The Unreasonable Effectiveness of Recurrent Neural Networks
    • May 2016Neural Turing Machines (2014)
    • Oct 2020Why traditional reinforcement learning will probably not yield AGI [pdf]

    arXiv ↗
25. 300
    

    Multi-view Face Detection Using Deep Convolutional Neural Networks

    Sachin Sudhakar Farfade et al. · 2015

    Hacker News threads

    • Feb 2015Multi-View Face Detection Using Deep Convolutional Neural Networks
    • Feb 2015The Face Detection Algorithm Set to Revolutionize Image Search
    • Aug 2015Image Scaling using Deep Convolutional Neural Networks
    • Jun 2016Ask HN: Microsoft Computer Vision API or Google Cloud Vision API?

    arXiv ↗

Data from the Hacker News archive (ODC-By), arXiv and OpenAlex. Not affiliated with Hacker News or Y Combinator.