Hacker Papers

1. 326
   

   Text Understanding from Scratch

   Xiang Zhang, Yann LeCun · 2015

   Hacker News threads

   • Feb 2015Text Understanding from Scratch Using Temporal Convolutional Networks
   • Mar 2015Text Understanding from Scratch [pdf]
   • Feb 2017Text Understanding from Scratch (2015)
   • Mar 2015A Word Is Worth a Thousand Vectors
   • Jun 2016DeepText: Facebook's text understanding engine
   • Jun 2016What is the difference between deep learning and usual machine learning?
   • Apr 2018IBM is not doing "cognitive computing" with Watson (2016)

   arXiv ↗
2. 327
   

   SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

   Dahyun Kim et al. · 2023

   Hacker News threads

   • Dec 2023Solar 10.7B
   • Dec 2023Solar 10.7B: Elevating AI, Effortlessly
   • Jun 2025Fine-tuning LLMs is a waste of time
   • Mar 2026Show HN: How I Topped the HuggingFace Open LLM Leaderboard on Two Gaming GPUs
   • Mar 2026

   arXiv ↗
3. 328
   

   Aligning Superhuman AI with Human Behavior: Chess as a Model System

   Reid McIlroy-Young et al. · 2020

   Hacker News threads

   • Feb 2023Aligning Superhuman AI with Human Behavior: Chess as a Model System (2020)
   • Feb 2021Aligning Superhuman AI with Human Behavior: Chess as a Model System
   • Dec 2020Show HN: Maia, a human-like neural network chess engine
   • Dec 2020MuZero: Mastering Go, chess, shogi and Atari without rules
   • Nov 2022Show HN: Noctie – A chess AI that predicts your rating
   • Sep 2025What Is Complexity in Chess?

   arXiv ↗
4. 329
   

   Tabular Data: Deep Learning is Not All You Need

   Ravid Shwartz-Ziv, Amitai Armon · 2021

   Hacker News threads

   • Jun 2021Tabular Data: Deep Learning Is Not All You Need [pdf]
   • Jun 2021Regularization is all you need: simple neural nets can excel on tabular data
   • Sep 2022Act-1: Transformer for Actions
   • Jul 2024My Python code is a neural network
   • Jul 2024Applied Machine Learning for Tabular Data

   arXiv ↗
5. 330
   

   How Community Feedback Shapes User Behavior

   Justin Cheng et al. · 2014

   Hacker News threads

   • May 2014Down-Vote Leads To A Vicious Circle Of Negative Feedback
   • May 2014Data Mining Shows How Down-Voting Leads To Vicious Circle of Negative Feedback
   • Oct 2017Facebook’s 2016 Election Team Gave Advertisers a Blueprint to a Divided US
   • Mar 2018Reddit and the Struggle to Detoxify the Internet

   arXiv ↗
6. 331
   

   Show and Tell: A Neural Image Caption Generator

   Oriol Vinyals et al. · 2014

   Hacker News threads

   • Nov 2014Google and Stanford build hybrid neural networks that can explain photos
   • May 2015The state of Computer Vision and AI: we are really, really far (2012)
   • May 2015Google Photos
   • Jun 2016Elasticsearch Based Image Search Using RGB Signatures

   arXiv ↗
7. 332
   

   Deep Learning and the Information Bottleneck Principle

   Naftali Tishby, Noga Zaslavsky · 2015

   Hacker News threads

   • Nov 2016Ask HN: What projects are you currently working on?
   • Nov 2016Exact mapping between Variational Renormalization Group and Deep Learning (2014)
   • Nov 2016Exact mapping between Variational Renormalization Group and Deep Learning (2014)
   • May 2018Why does deep and cheap learning work so well?
   • Aug 2023Do Machine Learning Models Memorize or Generalize?

   arXiv ↗
8. 333
   

   A Tour of Reinforcement Learning: The View from Continuous Control

   Benjamin Recht · 2018

   Hacker News threads

   • Jul 2018Evolutionary algorithm outperforms deep-learning machines at video games
   • Jul 2018An Introduction to Mathematical Optimal Control Theory [pdf]
   • Feb 2019Reinforcement Learning: An Introduction (2018) [pdf]
   • Jan 2021Algorithms for Decision Making

   arXiv ↗
9. 334
   

   Semantic Image Synthesis with Spatially-Adaptive Normalization

   Taesung Park et al. · 2019

   Hacker News threads

   • Mar 2019Nvidia AI turns sketches into photorealistic landscapes in seconds
   • Mar 2019Nvidia’s GauGAN Turns Doodles into Stunning, Photorealistic Landscapes
   • Feb 2020Understanding GauGAN Part 1
   • Jun 2021Nvidia Canvas

   arXiv ↗
10. 335
    

    Multiplying Matrices Without Multiplying

    Davis Blalock, John Guttag · 2021

    Hacker News threads

    • Sep 2021Multiplying Matrices Without Multiplying
    • Jun 2021Multiplying Matrices Without Multiplying
    • Jun 2022Bolt: Faster matrix and vector operations that run on compressed data
    • Jun 2022Bolt: Faster matrix and vector operations that run on compressed data
    • Nov 2023Show HN: Stella Nera – Maddness Hardware Accelerator
    • May 2024Reproducing GPT-2 in llm.c

    arXiv ↗
11. 336
    

    Demystifying Differentiable Programming: Shift/Reset the Penultimate Backpropagator

    Fei Wang et al. · 2018

    Hacker News threads

    • Feb 2020Demystifying Differentiable Programming (2018)
    • May 2018Demystifying Differentiable Programming (2018)
    • Aug 2019Demystifying Differentiable Programming: Shift/Reset, Penultimate Backpropagator
    • Nov 2018Automatic Differentiation in Machine Learning: A Survey [pdf]
    • Feb 2019What Is Differentiable Programming?
    • Feb 2019What Is Differentiable Programming?
    • Feb 2021Swift for TensorFlow Shuts Down

    arXiv ↗
12. 337
    

    A Comprehensive Survey on Graph Neural Networks

    Zonghan Wu et al. · 2019

    Hacker News threads

    • Jan 2019A Comprehensive Survey on Graph Neural Networks (2019)
    • Jan 2019Graph Neural Networks: A Review of Methods and Applications
    • Feb 2020Graph Neural Networks – An Overview
    • Feb 2020Graph Neural Networks – An Overview
    • May 2022Beyond message passing: A physics-inspired paradigm for graph neural networks

    arXiv ↗
13. 338
    

    Communication-Efficient Learning of Deep Networks from Decentralized Data

    H. Brendan McMahan et al. · 2016

    Hacker News threads

    • May 2017Communication-Efficient Learning of Deep Networks from Decentralized Data
    • Apr 2017Machine learning without centralized training data
    • Apr 2017Machine learning without centralized training data
    • Dec 2020Does GPT-2 Know Your Phone Number?
    • Apr 2023Thumb-Key: a privacy-conscious smart keyboard, made specifically for your thumbs

    arXiv ↗
14. 339
    

    Achieving Human Parity in Conversational Speech Recognition

    W. Xiong et al. · 2016

    Hacker News threads

    • Oct 2016Achieving Human Parity in Conversational Speech Recognition
    • Oct 2016Researchers reach human parity in conversational speech recognition
    • Oct 2016Researchers reach human parity in conversational speech recognition
    • Aug 2017Conversational Speech Recognition System [pdf]
    • Oct 2020AI outperforms humans in speech recognition

    arXiv ↗
15. 340
    

    Convolutional Neural Networks for Sentence Classification

    Yoon Kim · 2014

    Hacker News threads

    • Oct 2015Deep learning for NLP resources
    • Nov 2017Ask HN: Anyone using NLP to tag sentences?
    • Mar 2018Understanding word vectors
    • Mar 2018Understanding word vectors

    arXiv ↗
16. 341
    

    Long-term Recurrent Convolutional Networks for Visual Recognition and Description

    Jeff Donahue et al. · 2014

    Hacker News threads

    • Nov 2014Researchers Announce Advance in Image-Recognition Software
    • Nov 2014Researchers Announce Advance in Image-Recognition Software
    • Jan 2015A.I. Has Grown Up and Left Home
    • Apr 2019Alphabet Announces First Quarter 2019 Results

    arXiv ↗
17. 342
    

    Document Embedding with Paragraph Vectors

    Andrew M. Dai et al. · 2015

    Hacker News threads

    • Aug 2015Google Is Working on a New Type of Algorithm Called “Thought Vectors”
    • Aug 2015Using Doc2Vec to Suggest SubReddits
    • Dec 2016Distributed Representations of Sentences and Documents (2014) [pdf]
    • Nov 2025Word2vec-style vector arithmetic on docs embeddings

    arXiv ↗
18. 343
    

    Diffusion Models Beat GANs on Image Synthesis

    Prafulla Dhariwal, Alex Nichol · 2021

    Hacker News threads

    • May 2021Diffusion Models Beat GANs on Image Synthesis
    • Nov 2022Ten Years of Image Synthesis
    • May 2024Diffusion Models
    • Jun 2025Normalizing Flows Are Capable Generative Models

    arXiv ↗
19. 344
    

    A simple neural network module for relational reasoning

    Adam Santoro et al. · 2017

    Hacker News threads

    • Jun 2017Relational Reasoning with Neural Networks
    • Jun 2017Exploring LSTMs
    • Dec 2018The Machine Learning Race Is Really a Data Race
    • Feb 2023DeepMind AI is as fast as humans at solving previously unseen tasks

    arXiv ↗
20. 345
    

    Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning

    Julien Perolat et al. · 2022

    Hacker News threads

    • Jul 2022Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
    • Jul 2022(typo in URL, ignore)
    • Jul 2022DeepMind: Mastering the Game of Stratego with Model-Free Multiagent RL
    • Dec 2022Mastering Stratego, the classic game of imperfect information
    • Oct 2025Poker Tournament for LLMs
    • Oct 2026With most information hidden, the game Stratego had stumped AI until now

    arXiv ↗
21. 346
    

    GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

    Dmitry Lepikhin et al. · 2020

    Hacker News threads

    • Jul 2020GShard: Scaling giant models with conditional computation and automatic sharding
    • Jul 2020600B Parameters Model – GShard: Scaling Giant Models
    • Jul 2020GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
    • Jul 2020OpenAI's GPT-3 may be the biggest thing since Bitcoin
    • Dec 2021How to Go Beyond Data Parallelism and Model Parallelism: Starting from GShard
    • Dec 2023Google's Gemini: MIT Technology Review

    arXiv ↗
22. 347
    

    A Time Leap Challenge for SAT Solving

    Johannes K. Fichte et al. · 2020

    Hacker News threads

    • Sep 2020A Time Leap Challenge for Sat Solving
    • Sep 2020A Time Leap Challenge for Sat Solving
    • Feb 2022AlphaCode as a dog speaking mediocre English
    • May 2023The Silent (R)evolution of SAT
    • Aug 2025Does the Bitter Lesson Have Limits?

    arXiv ↗
23. 348
    

    Random feedback weights support learning in deep neural networks

    Timothy P. Lillicrap et al. · 2014

    Hacker News threads

    • Nov 2014Random feedback weights support learning in deep neural networks
    • Dec 2015How to trick a neural network into thinking a panda is a vulture
    • Aug 2016Decoupled Neural Interfaces Using Synthetic Gradients
    • Mar 2017Deep Learning without Backpropagation

    arXiv ↗
24. 349
    

    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 ↗
25. 350
    

    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 ↗

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