Hacker Papers

1. 226
   

   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 ↗
2. 227
   

   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 ↗
3. 228
   

   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 ↗
4. 229
   

   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 ↗
5. 230
   

   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 ↗
6. 231
   

   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 ↗
7. 232
   

   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 ↗
8. 233
   

   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 ↗
9. 234
   

   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 ↗
10. 235
    

    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 ↗
11. 236
    

    Deep Learning is Robust to Massive Label Noise

    David Rolnick et al. · 2017

    Hacker News threads

    • Mar 2022Deep learning on electronic medical records is doomed to fail
    • Oct 2022Why we chose not to release Stable Diffusion 1.5 as quickly
    • Jul 2024A multimodal dataset with one trillion tokens

    arXiv ↗
12. 237
    

    Recurrent Relational Networks

    Rasmus Berg Palm et al. · 2017

    Hacker News threads

    • Dec 2018The Machine Learning Race Is Really a Data Race
    • Feb 2019Neural Networks Are Essentially Polynomial Regression (2018)
    • Jul 2023Code Interpreter will be available to all ChatGPT Plus users over the next week

    arXiv ↗
13. 238
    

    Deep Image Prior

    Dmitry Ulyanov et al. · 2017

    Hacker News threads

    • Aug 2018This AI is bad at drawing but will try anyways
    • Feb 2021Adversarial.io – Fighting mass image recognition
    • Dec 2021HyperNeRF

    arXiv ↗
14. 239
    

    A Multi-Horizon Quantile Recurrent Forecaster

    Ruofeng Wen et al. · 2017

    Hacker News threads

    • Nov 2019Ask HN: Why do so many startups claim machine learning is their long game?
    • Jul 2021Is Facebook's “Prophet” the time-series Messiah or just a naughty boy?
    • Dec 2022Statistical vs. Deep Learning forecasting methods

    arXiv ↗
15. 240
    

    Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

    Timur Garipov et al. · 2018

    Hacker News threads

    • Feb 2023Knowledge Is a Region in Weight Space for Fine-Tuned Language Models
    • Jun 2024Grokfast: Accelerated Grokking by Amplifying Slow Gradients
    • Jun 2026Rio de Janeiro's "homegrown" LLM appears to be a merge of an existing model

    arXiv ↗
16. 241
    

    Investigating Human Priors for Playing Video Games

    Rachit Dubey et al. · 2018

    Hacker News threads

    • Oct 2019Machines Beat Humans on a Reading Test
    • May 2020Pac-Man recreated with a GAN trained on 50k game episodes
    • Oct 2021Megatron-Turing NLG 530B, the World’s Largest Generative Language Model

    arXiv ↗
17. 242
    

    Delayed Impact of Fair Machine Learning

    Lydia T. Liu et al. · 2018

    Hacker News threads

    • Jan 2019Alexandria Ocasio-Cortez Is Absolutely Right About Racist Algorithms
    • Sep 2020Algorithm Helps New York Decide Who Goes Free Before Trial
    • Dec 2020AI researcher Timnit Gebru resigns from Google

    arXiv ↗
18. 243
    

    Averaging Weights Leads to Wider Optima and Better Generalization

    Pavel Izmailov et al. · 2018

    Hacker News threads

    • Jan 2020An idea from physics helps AI see in higher dimensions
    • Jul 2020The Overfitted Brain: Dreams evolved to assist generalization
    • Apr 2024Schedule-Free Learning – A New Way to Train

    arXiv ↗
19. 244
    

    AutoAugment: Learning Augmentation Policies from Data

    Ekin D. Cubuk et al. · 2018

    Hacker News threads

    • Jun 2018Improving Deep Learning Performance with AutoAugment
    • Aug 2018Current state of the art in objects classification
    • May 2019Show HN: DeepSwarm – Optimising CNNs Using Swarm Intelligence

    arXiv ↗
20. 245
    

    Neural Guided Constraint Logic Programming for Program Synthesis

    Lisa Zhang et al. · 2018

    Hacker News threads

    • Jun 2023Compilers for the Future
    • Aug 2023Show HN: LLMs can generate valid JSON 100% of the time
    • Jan 2025What Is miniKanren?

    arXiv ↗
21. 246
    

    ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

    Robert Geirhos et al. · 2018

    Hacker News threads

    • Sep 2019People Recognize Objects by Visualizing Their “Skeletons”
    • Feb 2021What Inception Net Doesn't See
    • May 2024AI vs. a giraffe with no spots (2023)

    arXiv ↗
22. 247
    

    Lessons from Building Acoustic Models with a Million Hours of Speech

    Sree Hari Krishnan Parthasarathi, Nikko Strom · 2019

    Hacker News threads

    • Apr 2019Alexa researchers train speech recognizer on 1M hours of unlabeled speech
    • Dec 2019Common Voice: A Massively-Multilingual Speech Corpus
    • Apr 2020Building an end-to-end Speech Recognition model in PyTorch

    arXiv ↗
23. 248
    

    BERT Rediscovers the Classical NLP Pipeline

    Ian Tenney et al. · 2019

    Hacker News threads

    • Mar 2021Self-supervised learning: The dark matter of intelligence
    • Feb 2023We Found an Neuron in GPT-2
    • May 2023Show HN: Visual intuitive explanations of LLM concepts (LLM University)

    arXiv ↗
24. 249
    

    Deep Learning Recommendation Model for Personalization and Recommendation Systems

    Maxim Naumov et al. · 2019

    Hacker News threads

    • Mar 2020Smart Algorithms beat Hardware Acceleration for Large-Scale Deep Learning
    • Mar 2024Building Meta's GenAI infrastructure
    • Mar 2025Strobelight: A profiling service built on open source technology

    arXiv ↗
25. 250
    

    Hamiltonian Neural Networks

    Sam Greydanus et al. · 2019

    Hacker News threads

    • Feb 2020Sometimes, requiring explanability is counterproductive
    • Jun 2020Teaching physics to neural networks removes 'chaos blindness'
    • Jul 2020AI in physics: are we facing a scientific revolution?

    arXiv ↗

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