Hacker Papers
- 01
Neural Turing Machines
Hacker News threads
- Oct 2014Neural Turing Machines [pdf]
- Oct 2014Neural Turing Machines
- May 2016Neural Turing Machines (2014)
- Feb 2015A Brief Overview of Deep Learning
- Jul 2015The Cyborg Compulsion
- Jan 2016Turing Machines Are Recurrent Neural Networks (1996)
- Jul 2016How AI based programming could work
- Jul 2017The Limitations of Deep Learning
- Jun 2020GPT-3 and Scaling Trends
- Jan 2023GPT-3: Techniques to improve reliability
- Oct 2026Show HN: A working Nintendo in ~1GB of Qwen weights
- 02
Generative Adversarial Networks
Hacker News threads
- May 2023Generative Adversarial Networks
- Nov 2016Generative Adversarial Nets [pdf]
- Jun 2014Does Deep Learning Have Deep Flaws?
- Jan 2017Game Theory Reveals the Future of Deep Learning
- Aug 2017Ask HN: What is your favorite CS paper?
- Jan 2018AI System Sorts News Articles by Whether or Not They Contain Actual Information
- Jun 2020AI vs. AI
- May 2022Apple's director of machine learning resigns due to return to office work
- Nov 2023SDXL Turbo: A Real-Time Text-to-Image Generation Model
- Sep 2024Xkcd 1425 (Tasks) turns ten years old today
- 03
Deep Learning in Neural Networks: An Overview
Hacker News threads
- May 2014Deep learning in neural networks: An overview
- Dec 2023Deep Learning in Neural Networks: An Overview
- Dec 2014Unsupervised Feature Learning and Deep Learning Recommended Readings
- Dec 2014Technical Papers Every Programmer Should Read at Least Twice (2011)
- Sep 2016Artificial Intelligence Software Is Booming, But Why Now?
- Jan 2017AI Pioneer Wants to Build the Renaissance Machine of the Future
- Jul 2018Ernst Dickmanns, a German scientist who developed self-driving cars in the 1980s
- Jun 2019Ask HN: Please suggest review papers in CS topics
- Nov 2023Show HN: Tiny LLMs – Browser-based private AI models for a wide array of tasks
- Sep 2024OpenAI to become for-profit company
- 04
Intriguing properties of neural networks
Hacker News threads
- Feb 2015Intriguing Properties of Neural Networks [pdf]
- Jan 2019Intriguing properties of neural networks (2014)
- Jan 2015Intriguing properties of neural networks
- Apr 2014Neural Networks, Manifolds, and Topology
- Dec 2014Deep Neural Networks Are Easily Fooled
- Mar 2015Life Lessons from Machine Learning
- May 2016End to End Learning for Self-Driving Cars [pdf]
- Apr 2017Optical illusions that flummox computers
- Nov 2017How Adversarial Attacks Work
- Dec 2017Interview with Xavier Leroy
- Jan 2022Deep learning can’t be trusted, brain modelling pioneer says
- 05
Efficient Estimation of Word Representations in Vector Space
Hacker News threads
- Jan 2017Efficient Estimation of Word Representations in Vector Space (2013)
- Aug 2013Learning the Meaning of Words
- Sep 2013word2vec in yhat: Word vector similarity
- Jun 2015Abstractions my Deep Learning word2vec model made
- Dec 2015John Searle: Consciousness in Artificial Intelligence [video]
- Jul 2017When not to use deep learning
- Sep 2017What every software engineer should know about search
- Oct 2023Embeddings: What they are and why they matter
- May 2025A visual exploration of vector embeddings
- 06
Universal Intelligence: A Definition of Machine Intelligence
Hacker News threads
- Jun 2016Universal Intelligence: A Definition of Machine Intelligence
- Oct 2017Universal Intelligence: A Definition of Machine Intelligence (2007)
- Feb 2015Human-level control through deep reinforcement learning
- Aug 2016Will This “Neural Lace” Brain Implant Help Us Compete with AI?
- Sep 2017Where will artificial general intelligence come from?
- Aug 2018Artificial Intelligence Still Isn’t All That Smart
- Dec 2018Geoffrey Hinton and Demis Hassabis: AGI is nowhere close to being a reality
- Jan 2022Intuition is a “superpower”
- Apr 2022The singularity is close?
- Mar 2023And yet It Understands
- 07
Generating Sequences With Recurrent Neural Networks
Hacker News threads
- Jun 2015Extending “Let It Go” with recurrent neural network
- Mar 2016Dynamic Memory Networks for Visual and Textual Question Answering
- Apr 2016Neural Networks Are Impressively Good at Compression
- May 2016Neural Networks Are Impressively Good at Compression
- Apr 2017Lyrebird – An API to copy the voice of anyone
- Aug 2020An attempt to make a font look more handwritten
- Jan 2023Realistic Computer-Generated Handwriting
- Feb 2025Ghostwriter – use the reMarkable2 as an interface to vision-LLMs
- 08
Neural Machine Translation by Jointly Learning to Align and Translate
Hacker News threads
- Jan 2015Neural Machine Translation by Jointly Learning to Align and Translate
- Apr 2023Neural Machine Translation by Jointly Learning to Align and Translate (2015)
- Mar 2016Dynamic Memory Networks for Visual and Textual Question Answering
- Mar 2018Understanding word vectors
- Nov 2020A Primer in BERTology: What We Know About How Bert Works
- Nov 2023Google is not a tech company
- Dec 2023LLM Visualization
- Dec 2023"Attention", "Transformers", in Neural Network "Large Language Models"
- May 2025When ChatGPT broke the field of NLP: An oral history
- Jan 2026The Q, K, V Matrices
- 09
Visualizing and Understanding Convolutional Networks
Hacker News threads
- Oct 2014Visualizing and Understanding Convolutional Networks
- Aug 2020Visualizing and Understanding Convolutional Networks (2013)
- Aug 2020Visualizing and Understanding Convolutional Networks (2013)
- Jan 2015A.I. Has Grown Up and Left Home
- Jan 2015Image Kernels Explained Visually
- Aug 2016The Difference Between AI, Machine Learning, and Deep Learning
- Feb 2017Understanding deep learning requires rethinking generalization
- Feb 2018For AI to thrive, it must explain itself
- Sep 2023Gaussian Splatting is pretty cool
- Mar 2024How do neural networks learn?
- Oct 2026Feature Visualization – How neural networks build understanding of images (2017)
- 10
An exact mapping between the Variational Renormalization Group and Deep Learning
Hacker News threads
- Nov 2016Exact mapping between Variational Renormalization Group and Deep Learning (2014)
- Jul 2015An Exact Mapping Between the Variational Renormalization Group and Deep Learning
- Dec 2014Deep Learning and Renormalization Group Thery
- Dec 2014Renormalization: A Common Logic to Seeing Cats and Cosmos
- Dec 2014Renormalization: A Common Logic to Seeing Cats and Cosmos
- Sep 2016Link Between Deep Neural Networks and the Nature of the Universe
- Nov 2016Ask HN: What projects are you currently working on?
- Dec 2016OpenAI Universe
- Aug 2017Deep Learning and Quantum Entanglement [pdf]
- Jun 2024How Does GPT-4o Encode Images?
- May 2025Deep Learning Is Applied Topology
- 11
Sequence to Sequence Learning with Neural Networks
Hacker News threads
- Jan 2015New, more powerful Google Translate app
- Aug 2015Exploiting Similarities Among Languages for Machine Translation (2013)
- May 2016My path to OpenAI
- Jul 2017When not to use deep learning
- Dec 2020AlphaFold: a solution to a 50-year-old grand challenge in biology
- Jun 2023What Are Embeddings?
- Oct 2023Ask HN: Why is OpenAI still called OpenAI?
- Apr 2025The Leaderboard Illusion
- 12
One weird trick for parallelizing convolutional neural networks
Hacker News threads
- Jul 2014One weird trick for parallelizing convolutional neural networks
- Apr 2014Data Scientist Interviews
- Aug 2014ImageNet Large Scale Visual Recognition Competition
- Nov 2015TensorFlow: open-source library for machine intelligence
- Dec 2015Ask HN: Papers you read in 2015?
- May 2016NVIDIA Announces the GeForce GTX 1000 Series
- Jul 2016Nvidia CEO Reveals New TITAN X at Stanford Deep Learning Meetup
- Feb 2020Microsoft Zero and DeepSpeed: Memory Efficient Large Neural Network Training
- Jun 2022Techniques for Training Large Neural Networks
- 13
Identifying and attacking the saddle point problem in high-dimensional non-convex optimization
Hacker News threads
- Feb 2015Ask HN: How do you find important/interesting new papers
- Dec 2015Machine learning works spectacularly well, but mathematicians aren’t sure why
- Jan 2016New finding: 600M years ago, a single mutation changed everything
- Oct 2017The quest to evolve neural networks through evolutionary algorithms
- Mar 2019Backpropogation Is Just Steepest Descent with Automatic Differentiation (2013)
- Mar 2019Backpropogation Is Just Steepest Descent with Automatic Differentiation (2013)
- Oct 2020Why deep learning works even though it shouldn’t
- Jun 2026Puzzling Success of Overparameterization: Lottery Tickets or Escape Dimensions?
- 14
Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes
Hacker News threads
- Jan 2017Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity,
- Aug 2019Driven by Compression Progress (Schmidhuber, 2008)
- Apr 2023Driven By Compression Progress (2008)
- Sep 2017Ask HN: CS as a philosophy
- Oct 2017Intelligence Reconsidered
- Mar 2021Information Is Surprise (2015)
- Mar 2021Hutter Prize
- Jul 2024Creativity fundamentally comes from memorization?
- Mar 2025ARC-AGI without pretraining
- Aug 2026Compression Is Prediction
- Sep 2026Asking Authors About Their Own Papers
- 15
Playing Atari with Deep Reinforcement Learning
Hacker News threads
- Oct 2014Playing Atari with Deep Reinforcement Learning [pdf]
- Jan 2015Playing Atari with Deep Reinforcement Learning (2013) [pdf]
- Jan 2014Deep Mind's neural networks play 7 Atari 2600 games with more skill than a human
- Jan 2014Google to Buy Artificial Intelligence Startup DeepMind for $400M
- Jan 2014Applying Artificial Intelligence to Nintendo Tetris
- Dec 2014Google's Intelligence Designer
- Jan 2015Mario Lives: An AI for creating a living and conversing agent [video]
- Feb 2015Human-level control through deep reinforcement learning
- May 2016End to End Learning for Self-Driving Cars [pdf]
- Jan 2017CS 294 Deep Reinforcement Learning, Spring 2017
- Jan 2024Self-Rewarding Language Models
- 16
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Hacker News threads
- Dec 2014Deep Neural Networks Are Easily Fooled
- Dec 2014Deep Neural Networks Are Easily Fooled [pdf]
- Dec 2014Deep Learning Reading List
- Jun 2015Facial recognition technology is everywhere, and it may not be legal
- Nov 2015Impressive Demonstration of Facebook's AI by Yann LeCun
- May 2016IBM is not doing "cognitive computing" with Watson
- Jun 2016AI, Deep Learning, and Machine Learning: A Primer [video]
- Oct 2016Google AI invents its own cryptographic algorithm
- Jul 2017NO Need to Worry about Adversarial Examples for Autonomous Vehicles
- Jun 2019Why is Stack Overflow trying to start audio?
- 17
Explaining and Harnessing Adversarial Examples
Hacker News threads
- Dec 2015Explaining and Harnessing Adversarial Examples
- Apr 2015Adversarial examples – Machine Learning [pdf]
- Dec 2014Explaining and Harnessing Adversarial Examples [problem with deep networks]
- Mar 2015Images that fool computer vision raise security concerns
- Mar 2015By 2029 no computer or “machine intelligence” will have passed the Turing Test
- Apr 2015Breaking Linear Classifiers on ImageNet
- Jun 2015Suddenly, a leopard print sofa appears
- Nov 2016Real and Stealthy Attacks on State-Of-the-Art Face Recognition [pdf]
- Jul 2017Apollo – An open autonomous driving platform
- Jul 2017A Guide to Synthesizing Adversarial Examples
- Jul 2025Supabase MCP can leak your entire SQL database
- 18
Improving neural networks by preventing co-adaptation of feature detectors
Hacker News threads
- Nov 2012Improving neural networks by preventing co-adaptation of feature detectors [pdf]
- Dec 2012Why use SVM
- Feb 2014Computing 10,000X more efficiently (2010) [pdf]
- May 2014What does a neural network actually do?
- Oct 2015Theoretical Motivations for Deep Learning
- Aug 2016Some of the most important deep learning papers
- Nov 2016Learning about evolution from species who thrive without sexual reproduction
- Jul 2023What We Know About LLMs (A Primer)
- 19
Decoding billions of integers per second through vectorization
Hacker News threads
- Sep 2012Fast integer compression: decoding billions of integers per second
- Sep 2012Fast integer compression: decoding billions of integers per second
- Jul 2013Fast integer compression in Java
- Feb 2017Multihash – self-describing hashes
- Sep 2017Stream VByte: breaking new speed records for integer compression
- Jun 2021Sorted Integer Compression
- Oct 202586 GB/s bitpacking with ARM SIMD (single thread)
- 20
Distributed Representations of Sentences and Documents
Hacker News threads
- Dec 2016Distributed Representations of Sentences and Documents (2014) [pdf]
- Jan 2019Distributed Representations of Sentences and Documents
- May 2014Distributed Representations of Sentences and Documents
- Dec 2014Large Scale Deep Learning – Jeff Dean [pdf]
- Aug 2015Google Is Working on a New Type of Algorithm Called “Thought Vectors”
- Aug 2015Using Doc2Vec to Suggest SubReddits
- Nov 2015Why Neurons Have Thousands of Synapses: a Theory of Sequence Memory in Neocortex
- Mar 2018Understanding word vectors
- Dec 2023Word2Vec Received 'Strong Reject' Four Times at ICLR2013
- Aug 2026Jeff Dean leaving Alphabet
- 21
A Collection of Definitions of Intelligence
Hacker News threads
- Jul 2016[Legg, Hutter] a Collection of Definitions of Intelligence (2007)
- Nov 2022A Collection of Definitions of Intelligence
- Jul 2026A Collection of Definitions of Intelligence
- Mar 2016Yann LeCun's comment on AlphaGo and true AI
- Dec 2021Artificial Intelligence in the Cockpit
- Aug 2022John Carmack's new AGI company, Keen Technologies, has raised a $20M round
- May 2023Beware of AI pseudoscience and snake oil
- Oct 2023"We'll call it AI to sell it, Machine Learning to Build it"
- Oct 2025Andrej Karpathy – It will take a decade to work through the issues with agents
- Oct 2025Andrej Karpathy – It will take a decade to work through the issues with agents
- 22
Adam: A Method for Stochastic Optimization
Hacker News threads
- Oct 2015Adam's method for stochastic optimization
- Jan 2017A New Batch of Deep Learning Startups to Watch for in 2017
- Oct 2017Variational Inference and Deep Learning: A New Synthesis [pdf]
- Feb 2023Exclusive Q&A John Carmack’s ‘Different Path’ to Artificial General Intelligence
- Jul 2023A Theory on Adam Instability in Large-Scale Machine Learning
- May 2024xLSTM: Extended Long Short-Term Memory
- Oct 2024Anthropic hires OpenAI co-founder Durk Kingma
- Mar 2025The PhD Metagame: Don't try to reform science – not yet
- Oct 2025Researchers Discover the Optimal Way to Optimize
- 23
Twitter mood predicts the stock market
Hacker News threads
- May 2011Twitter mood predicts the stock market.
- Nov 2010Twitter mood predicts the stock market
- May 2011Twitter mood predicts the stock market
- Oct 2010Twitter Mood Predicts The Stock Market
- Nov 2010Can LinkedIn predict when companies are in trouble?
- Dec 2010Hedge fund to use Twitter to predict stock market
- Jul 2011MongoDB is the New MySQL
- Mar 2012What you could do if you were Google and had their databases
- May 2012Looking At The World Through Twitter Data
- Sep 2012Twitter is a tragic tale
- Mar 2014Can the Bloomberg Terminal be "Toppled"?
- 24
Practical Bayesian Optimization of Machine Learning Algorithms
Hacker News threads
- Apr 2015Practical Bayesian Optimization of Machine Learning Algorithms (2012)
- May 2015PRACTICAL BAYESIAN OPTIMIZATION OF MACHINE LEARNING ALGORITHMS [pdf]
- Jul 2012Machine learning for the impatient: algorithms tuning algorithms
- Nov 2012How deep learning on GPUs wins datamining contest without feature engineering
- Jan 2013Ersatz - Deep neural networks in the cloud
- Nov 2013Machine learning is easier than it looks
- Dec 2013Hyperopt: Optimize your machine learning parameters automagically
- Jun 2015Whetlab.com: API for Baysian optimization of hyperparameters
- Jan 2018Show HN: A radically more scalable alternative to Bayesian Optimization
- Jul 2018Troubling Trends in Machine Learning Scholarship
- 25
The Loss Surfaces of Multilayer Networks
Hacker News threads
- Jan 2019The Loss Surfaces of Multilayer Networks
- Mar 2015Deep Learning vs. Machine Learning vs. Pattern Recognition
- Jun 2015What's Wrong with Deep Learning?
- Aug 2015Machine Learning: Curse of Dimensionality
- Feb 2016AI is transforming Google search – the rest of the web is next
- Aug 2016What’s Next for Artificial Intelligence
- May 2017Breaking Glass in Infinite Dimensions
- Dec 2017An Interview with an Anonymous Data Scientist (2016)
- Aug 2020Differentiable Control Problems
Data from the Hacker News archive (ODC-By), arXiv and OpenAlex. Not affiliated with Hacker News or Y Combinator.