Hacker Papers

1. 201
   

   TerpreT: A Probabilistic Programming Language for Program Induction

   Alexander L. Gaunt et al. · 2016

   Hacker News threads

   • Aug 2016TerpreT: A Probabilistic Programming Language for Program Induction by MSR
   • Jan 2018Programming with a Differentiable Forth Interpreter (2016)
   • Sep 2021The Great AI Reckoning
   • Jun 2022Differentiable Finite State Machines
   • May 2024Show HN: Boldly go where Gradient Descent has never gone before with DiscoGrad

   arXiv ↗
2. 202
   

   Datasheets for Datasets

   Timnit Gebru et al. · 2018

   Hacker News threads

   • Oct 2019Datasheets for Datasets
   • May 2018Datasheets for Datasets
   • Aug 2020Datasheets for Datasets (2018)
   • Feb 2020Launch HN: Syndetic (YC W20) – Software for explaining datasets
   • Jul 2020Yann LeCun quits Twitter amid acrimonious exchanges on AI bias
   • Aug 2020Objective data doesn't go deep enough to engender trust
   • Dec 2020Templates similar to Datasheets for Datasets but for AI models

   arXiv ↗
3. 203
   

   Continuous control with deep reinforcement learning

   Timothy P. Lillicrap et al. · 2015

   Hacker News threads

   • Sep 2015Continuous control with deep reinforcement learning
   • Sep 2015DeepMind: Continuous control with deep reinforcement learning
   • Oct 2015A Peek Inside Google’s Efforts to Create a General-Purpose Robot
   • Dec 2015The first person to hack the iPhone is building a self-driving car
   • Mar 2016AlphaGo beats the world champion Lee Sedol in first of five matches
   • Dec 2020You might not need machine learning

   arXiv ↗
4. 204
   

   Generative Adversarial Text to Image Synthesis

   Scott Reed et al. · 2016

   Hacker News threads

   • Aug 2016Generative Adversarial Text to Image Synthesis
   • May 2016IBM is not doing "cognitive computing" with Watson
   • Jun 2016AI, Deep Learning, and Machine Learning: A Primer [video]
   • Oct 2016The McMansion Scale, Explained
   • Dec 2016Major advancements in Deep Learning in 2016

   arXiv ↗
5. 205
   

   Surveying the Attitudes of Physicists Concerning Foundational Issues of Quantum Mechanics

   Sujeevan Sivasundaram, Kristian Hvidtfelt Nielsen · 2016

   Hacker News threads

   • Dec 2016Surveying the Attitude of Physicists Concerning Foundations of Quantum Mechanics
   • Apr 2017Atomic Spins Evade Heisenberg Uncertainty Principle
   • Sep 2018Quantum observers with knowledge of quantum mechanics break reality
   • Feb 2019In the foundations of physics we haven't seen progress for the past four decades
   • Feb 2025When Bohr got it wrong: the impact of a little-known paper on quantum theory

   arXiv ↗
6. 206
   

   YOLOv3: An Incremental Improvement

   Joseph Redmon, Ali Farhadi · 2018

   Hacker News threads

   • May 2020YOLOv3: An Incremental Improvement
   • Jan 2019Consciousness as a State of Matter (2015)
   • Apr 2019YOLO: Real-Time Object Detection
   • Oct 2019My Favourite Git Commit
   • Nov 2022Ask HN: What piece of code/codebase blew your mind when you saw it?

   arXiv ↗
7. 207
   

   A postquantum theory of classical gravity?

   Jonathan Oppenheim · 2018

   Hacker News threads

   • Dec 2023A postquantum theory of classical gravity?
   • Jul 2023The Physicist Who’s Challenging the Quantum Orthodoxy
   • Dec 2023Show HN: Talk to any ArXiv paper just by changing the URL
   • Mar 2024The end of the dark universe?
   • Jun 2025Theory links Einstein's relativity and quantum mechanics

   arXiv ↗
8. 208
   

   A micro Lie theory for state estimation in robotics

   Joan Solà et al. · 2018

   Hacker News threads

   • Nov 2025Lie Group Theory for Robotics
   • Apr 2022Exponentially Better Rotations
   • Jan 2023Ask HN: Concepts that clicked only years after you first encountered them?
   • Jan 2024Higher Order Derivatives of Transforms
   • Jun 2024Lie Theory for the Roboticist (2020) [video]

   arXiv ↗
9. 209
   

   Semi-Supervised Learning with Ladder Networks

   Antti Rasmus et al. · 2015

   Hacker News threads

   • Sep 2015Towards universal neural nets: Gibbs machines and ACE
   • Oct 2016What is chemical intuition?
   • Dec 2016This AI Boom Will Also Bust
   • Mar 2025Ladder: Self-improving LLMs through recursive problem decomposition

   arXiv ↗
10. 210
    

    Learning to Generate Reviews and Discovering Sentiment

    Alec Radford et al. · 2017

    Hacker News threads

    • Apr 2017Unsupervised sentiment neuron
    • May 2017Which GPU(s) to Get for Deep Learning
    • Feb 2024Hi everyone yes, I left OpenAI yesterday
    • Jun 2024Legal models hallucinate in 1 out of 6 (or more) benchmarking queries

    arXiv ↗
11. 211
    

    The Curious Case of Neural Text Degeneration

    Ari Holtzman et al. · 2019

    Hacker News threads

    • Oct 2019Finetuning GPT-2 to Generate Beatles Lyrics
    • Nov 2019OpenAI Releases Largest GPT-2 Text Generation Model
    • Nov 2020TLDR: Extreme Summarization of Scientific Documents
    • Feb 2023What Is ChatGPT Doing and Why Does It Work?

    arXiv ↗
12. 212
    

    Insecure Until Proven Updated: Analyzing AMD SEV's Remote Attestation

    Robert Buhren et al. · 2019

    Hacker News threads

    • Jun 2020How SGX Fails in Practice
    • Jul 2020Confidential VMs
    • Aug 2020Why Confidential Computing Is a Game Changer
    • Oct 2025Trusted Execution Environments? More Like "Trust Us, Bro" Environments

    arXiv ↗
13. 213
    

    Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

    Bryan Lim et al. · 2019

    Hacker News threads

    • Jul 2021Is Facebook's “Prophet” the time-series Messiah or just a naughty boy?
    • Aug 2023Ask HN: If we train an LLM with “data” instead of “language” tokens
    • Jul 2024XLSTMTime: Long-Term Time Series Forecasting with xLSTM
    • Sep 2024Launch HN: Silurian (YC S24) – Simulate the Earth

    arXiv ↗
14. 214
    

    Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

    Jun-Yan Zhu et al. · 2017

    Hacker News threads

    • Jan 2018Unpaired Image-To-Image Translation Using Cycle-Consistent Adversarial Networks
    • Mar 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
    • Apr 2017Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
    • Jan 2019This clever AI hid data from its creators to cheat at its appointed task
    • May 2019TensorFlow Graphics: Computer Graphics Meets Deep Learning

    arXiv ↗
15. 215
    

    Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

    Maurizio Ferrari Dacrema et al. · 2019

    Hacker News threads

    • Jul 2019A Worrying Analysis of Recent Neural Recommendation Approaches
    • Aug 2019Are We Making Much Progress? Analysis of Recent Neural Recommendation Approaches
    • Jul 2019Are We Making Much Progress with Neural Networks?
    • Dec 2019Categories of deep recommendation systems
    • Aug 2020Language-Agnostic Bert Sentence Embedding
    • Mar 2021AI skills are worth less than you think (2019)
    • Jul 2021Deep reinforcement learning is a waste of time (2019)

    arXiv ↗
16. 216
    

    Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

    Sergey Ioffe, Christian Szegedy · 2015

    Hacker News threads

    • Feb 2015Batch Normalization: Accelerating Deep Network Training [pdf]
    • Feb 2015Ioffe and Szegedy get 4.8% top-5 test on ImageNet(beating recent MSR result)
    • Feb 2026Batch Normalization: Accelerating Deep Network Training (2015)
    • May 2015The state of Computer Vision and AI: we are really, really far (2012)
    • Apr 2016Tinker with a Neural Network in Your Browser
    • Aug 2016Some of the most important deep learning papers
    • Mar 2017Deep Forest: Towards an Alternative to Deep Neural Networks

    arXiv ↗
17. 217
    

    Resource Polymorphism

    Guillaume Munch-Maccagnoni · 2018

    Hacker News threads

    • Mar 2018Rust-style resource management in OCaml
    • Dec 2018Safe and Secure Drivers in High-Level Languages [video]
    • Dec 2019Monads, or Programmable Semicolons (2014)
    • Jun 2020Linear types are merged in GHC
    • Dec 2021Does the Bronze Garbage Collector Make Rust Easier to Use?

    arXiv ↗
18. 218
    

    EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

    Mingxing Tan, Quoc V. Le · 2019

    Hacker News threads

    • May 2019EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
    • Aug 2019OpenGPT-2: We Replicated GPT-2 Because You Can Too
    • Sep 2019Emergences: A Talk by Danny Hillis
    • Jul 2021Alphafold
    • May 2022I don't trust papers out of “Top Labs” anymore

    arXiv ↗
19. 219
    

    Fast exact summation using small and large superaccumulators

    Radford M. Neal · 2015

    Hacker News threads

    • Jan 2017Fast exact summation using small and large superaccumulators
    • Mar 2019Calculating the mean of a list of numbers (2016)
    • May 2020Things we learned about sums
    • May 2024Taming floating-point sums
    • Nov 2024How to Correctly Sum Up Numbers

    arXiv ↗
20. 220
    

    Teaching Machines to Read and Comprehend

    Karl Moritz Hermann et al. · 2015

    Hacker News threads

    • Jun 2015DeepMind: Teaching Machines to Read and Comprehend
    • Jun 2015Teaching Machines to Read and Comprehend – Deepmind [pdf]
    • Jun 2015Google Deepmind – Teaching Machines to Read and Comprehend [pdf]
    • Jun 2015DeepMind uses the Daily Mail as a huge training corpus for text comprehension
    • Dec 2015Teaching Machines to Read and Comprehend [pdf]
    • Feb 2016Go, Marvin Minsky, and the Chasm That AI Hasn’t yet Crossed
    • May 2016IBM is not doing "cognitive computing" with Watson

    arXiv ↗
21. 221
    

    Skip-Thought Vectors

    Ryan Kiros et al. · 2015

    Hacker News threads

    • Jun 2015Skip-Thought Vectors
    • Aug 2015Google Is Working on a New Type of Algorithm
    • Sep 2015Inferring Algorithmic Patterns with Stack
    • Nov 2015Why Neurons Have Thousands of Synapses: a Theory of Sequence Memory in Neocortex
    • Mar 2016Tensorflow Implementation of Deep Visual Analogy-Making

    arXiv ↗
22. 222
    

    The Design and Implementation of XiaoIce, an Empathetic Social Chatbot

    Li Zhou et al. · 2018

    Hacker News threads

    • Jan 2019Design and Implementation of XiaoIce, an Empathetic Social Chatbot (2018) [pdf]
    • Dec 2020An AI Girlfriend Seducing China’s Lonely Men
    • Jan 2023Ask HN: Can you crowdfund the compute for GPT?
    • Mar 2023Prompt to bypass the restrictions of Bing Chat or to restore the old “Sydney”
    • Nov 2023Grok

    arXiv ↗
23. 223
    

    The impossibility of "fairness": a generalized impossibility result for decisions

    Thomas Miconi · 2017

    Hacker News threads

    • Aug 2021The impossibility of fairness: a generalized impossibility result for decisions
    • Jul 2022The impossibility of “fairness”:a generalized impossibility result for decisions
    • Jun 2018AI at Google: our principles
    • Feb 2020Setting fairness goals with the TensorFlow constrained optimization library
    • Feb 2022How can minorities of regular individuals overturn social conventions?
    • Mar 2023Responsible AI Challenge

    arXiv ↗
24. 224
    

    CRN++: Molecular Programming Language

    Marko Vasic et al. · 2018

    Hacker News threads

    • Sep 2018CRN++: Molecular Programming Language
    • Nov 2018How Biologists Are Creating Life-Like Cells from Scratch
    • Apr 2020Deep Molecular Programming
    • Nov 20203D engine implemented in DNA code
    • May 2021What can mRNA treat next?

    arXiv ↗
25. 225
    

    Indexing dif/2

    Ulrich Neumerkel, Stefan Kral · 2016

    Hacker News threads

    • May 2018Pure efficient “if” in Prolog
    • May 2017Ask HN: Why isn't Prolog more popular?
    • Oct 2019Swish: SWI Prolog Notebook
    • Sep 2022Lunatic: Erlang-Inspired Runtime for WebAssembly
    • Dec 2022Prolog at Work

    arXiv ↗

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