Hacker Papers

1. 651
   

   Mastering Diverse Domains through World Models

   Danijar Hafner et al. · 2023

   Hacker News threads

   • Jan 2023Mastering Diverse Domains Through World Models
   • Jan 2023Google’s DeepMind: Mastering Diverse Domains Through World Models
   • Jul 2023Ask HN: Who is hiring? (July 2023)
   • Apr 2025DeepMind program finds diamonds in Minecraft without being taught

   arXiv ↗
2. 652
   

   How Language Model Hallucinations Can Snowball

   Muru Zhang et al. · 2023

   Hacker News threads

   • May 2023How Language Model Hallucinations Can Snowball
   • May 2023A Logic for Expressing Transformers
   • Sep 2025An LLM is a lossy encyclopedia
   • Dec 2025Project Vend: Phase Two

   arXiv ↗
3. 653
   

   SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

   Tim Dettmers et al. · 2023

   Hacker News threads

   • Jun 2023SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
   • Jun 2023LLM.int8(): 8-Bit Matrix Multiplication for Transformers at Scale
   • Sep 2023ROCm Is AMD's #1 Priority, Executive Says
   • Mar 2024Fine tune a 70B language model at home

   arXiv ↗
4. 654
   

   In-Context Learning Creates Task Vectors

   Roee Hendel et al. · 2023

   Hacker News threads

   • Oct 2023In-Context Learning Creates Task Vectors
   • Oct 2023LLMs playing chess are sensitive to how the position came to be
   • Nov 2024Task Vectors [in Vision and Language Models (VLM's)] Are Cross-Modal
   • Dec 2025Ask HN: How can I get better at using AI for programming?

   arXiv ↗
5. 655
   

   A Monte Carlo AIXI Approximation

   Joel Veness et al. · 2009

   Hacker News threads

   • Mar 2010The Single Sign On
   • Nov 2018The impossibility of intelligence explosion
   • Jan 2024Learning Universal Predictors

   arXiv ↗
6. 656
   

   HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

   Feng Niu et al. · 2011

   Hacker News threads

   • Aug 2016Decoupled Neural Interfaces Using Synthetic Gradients
   • Mar 2018Concurrency I can finally understand and write correctly
   • Aug 2021Tesla Project Dojo Overview

   arXiv ↗
7. 657
   

   Fast Training of Convolutional Networks through FFTs

   Michael Mathieu et al. · 2013

   Hacker News threads

   • Apr 2015Why GEMM is at the heart of deep learning
   • May 2015A distributed supercomputer using Parallella boards
   • Sep 2020VkFFT – Vulkan Fast Fourier Transform Library

   arXiv ↗
8. 658
   

   Auto-Encoding Variational Bayes

   Diederik P Kingma, Max Welling · 2013

   Hacker News threads

   • Sep 2015A Brief Introduction to Graphical Models and Bayesian Networks (1998)
   • Oct 2017Variational Inference and Deep Learning: A New Synthesis [pdf]
   • Oct 2018Bayes’ Theorem in the 21st Century (2013) [pdf]

   arXiv ↗
9. 659
   

   Certifying and removing disparate impact

   Michael Feldman et al. · 2014

   Hacker News threads

   • Sep 2015Computer Scientists Find Bias in Algorithms
   • Mar 2016Microsoft chatbot is taught to swear on Twitter
   • Jul 2016Training Computers to Find Future Criminals

   arXiv ↗
10. 660
    

    Qualitatively characterizing neural network optimization problems

    Ian J. Goodfellow et al. · 2014

    Hacker News threads

    • Aug 2015Machine Learning: Curse of Dimensionality
    • Aug 2016What’s Next for Artificial Intelligence
    • May 2024Gradient descent visualization

    arXiv ↗
11. 661
    

    Trust Region Policy Optimization

    John Schulman et al. · 2015

    Hacker News threads

    • Mar 2016The Artificial Intelligence Revolution: A Special Report, Pt. 1
    • Jun 2016Generative Models
    • May 2017Roboschool: open-source software for robot simulation

    arXiv ↗
12. 662
    

    Effective Approaches to Attention-based Neural Machine Translation

    Minh-Thang Luong et al. · 2015

    Hacker News threads

    • Feb 2023Planning for AGI and Beyond
    • May 2023Google receives patent for attention-based sequence transduction neural networks
    • Jan 2026The Q, K, V Matrices

    arXiv ↗
13. 663
    

    Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning

    Shakir Mohamed, Danilo Jimenez Rezende · 2015

    Hacker News threads

    • Oct 2015Obstacles on the Path to AI
    • Dec 2015The A.I. Anxiety
    • Jun 2016Deep Mind Playing Montezuma's Revenge with Intrinsic Motivation [video]

    arXiv ↗
14. 664
    

    ACDC: A Structured Efficient Linear Layer

    Marcin Moczulski et al. · 2015

    Hacker News threads

    • Aug 2016Optical solutions to NP-Complete problems
    • Feb 2018Lessons from Optics, the Other Deep Learning
    • Jan 2019Dirty lenses (2016)

    arXiv ↗
15. 665
    

    Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions

    Chenhao Tan et al. · 2016

    Hacker News threads

    • Apr 2017How to change someone's mind, according to science
    • Jul 2019The human body is already close to thermal limits in many regions
    • Apr 2025Unauthorized experiment on r/changemyview involving AI-generated comments

    arXiv ↗
16. 666
    

    Automatic Differentiation Variational Inference

    Alp Kucukelbir et al. · 2016

    Hacker News threads

    • Sep 2016Design and Implementation of Probabilistic Programming Languages
    • Mar 2017An Introduction to Probabilistic Graphical Models (2003) [pdf]
    • Oct 2018Bayes’ Theorem in the 21st Century (2013) [pdf]

    arXiv ↗
17. 667
    

    Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs

    Yu. A. Malkov, D. A. Yashunin · 2016

    Hacker News threads

    • Jul 2022Ask HN: What are some cool but obscure data structures you know about?
    • May 2023Abusing Vector Search for Texts, Maps, and Chess ♟
    • Sep 2024Understanding Pgvector's HNSW Index Storage in Postgres

    arXiv ↗
18. 668
    

    Density estimation using Real NVP

    Laurent Dinh et al. · 2016

    Hacker News threads

    • Jun 2016Blade Runner re-encoded using neural networks
    • Jan 2019Deep Learning State of the Art (2019) [video]
    • Apr 2020Making an invertible function out of non-invertible parts

    arXiv ↗
19. 669
    

    Deep Learning with Differential Privacy

    Martín Abadi et al. · 2016

    Hacker News threads

    • Oct 2016Paul Erdős: a life that added up to something (1996)
    • Mar 2018The Algorithmic Foundations of Differential Privacy (2014) [pdf]
    • Mar 2022Launch HN: Sarus (YC W22) – Work on sensitive data with differential privacy

    arXiv ↗
20. 670
    

    Semi-Supervised Classification with Graph Convolutional Networks

    Thomas N. Kipf, Max Welling · 2016

    Hacker News threads

    • May 2020Symbolic mathematics finally yields to neural networks
    • Dec 2020Deep Graph Library: Easy Deep Learning on Graphs
    • Jan 2023Ask HN: ML Papers to Implement

    arXiv ↗
21. 671
    

    Image-to-Markup Generation with Coarse-to-Fine Attention

    Yuntian Deng et al. · 2016

    Hacker News threads

    • May 2017Pix2code: Generating Code from a GUI Screenshot
    • Dec 2017Accessibility Through Semantic HTML
    • Nov 2023Pix2tex: Using a ViT to convert images of equations into LaTeX code

    arXiv ↗
22. 672
    

    Speed/accuracy trade-offs for modern convolutional object detectors

    Jonathan Huang et al. · 2016

    Hacker News threads

    • Jun 2017Supercharge your Computer Vision models with the TensorFlow Object Detection API
    • Aug 2017YOLO: Real-Time Object Detection
    • Nov 2019Show HN: OpenCV based multi-object-tracker with various object detection models

    arXiv ↗
23. 673
    

    Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

    Chelsea Finn et al. · 2017

    Hacker News threads

    • Jan 2018Cloud AutoML: Making AI accessible to every business
    • Jun 2018Deep learning: a critical appraisal
    • Mar 2019Gödel Machine

    arXiv ↗
24. 674
    

    Massive Exploration of Neural Machine Translation Architectures

    Denny Britz et al. · 2017

    Hacker News threads

    • Mar 2017Google Team Refines GPU Powered Neural Machine Translation
    • Jun 2017Exploring LSTMs
    • Oct 2024Adobe's new image rotation tool is one of the most impressive AI tools seen

    arXiv ↗
25. 675
    

    Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

    Josh Tobin et al. · 2017

    Hacker News threads

    • Apr 2017Spam detection in the physical world
    • Feb 2021A better way to build ML: Why you should be using Active Learning
    • Apr 2021Massively Parallel Rendering of Complex Closed-Form Implicit Surfaces (2020)

    arXiv ↗

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