Hacker Papers

1. 701
   

   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 ↗
2. 702
   

   Synthesizing the preferred inputs for neurons in neural networks via deep generator networks

   Anh Nguyen et al. · 2016

   Hacker News threads

   • Jun 2016Impressive synthesized images in new paper
   • Jun 2016Generative Models
   • Aug 2016Text to Image Synthesis Using Thought Vectors
   • May 2017Deep Learning’s Impact on Image Processing, Mathematics, and Humanity

   arXiv ↗
3. 703
   

   Spatial Transformer Networks

   Max Jaderberg et al. · 2015

   Hacker News threads

   • Jan 2017Spatial Transformer Networks (2015)
   • Jun 2015Suddenly, a leopard print sofa appears
   • Apr 2016Deep3D: Automatic 2D-to-3D Video Conversion with CNNs
   • Apr 2017Have We Forgotten about Geometry in Computer Vision?

   arXiv ↗
4. 704
   

   Rethinking the Inception Architecture for Computer Vision

   Christian Szegedy et al. · 2015

   Hacker News threads

   • Dec 2015Rethinking the Inception Architecture for Computer Vision
   • Dec 2015Rethinking the Inception Architecture for Computer Vision
   • Jan 2016Emergent Chip Vastly Accelerates Deep Neural Networks
   • Jul 2016Neural Networks in iOS 10 and macOS
   • Aug 2016Uber’s First Self-Driving Fleet Arrives in Pittsburgh This Month
   • Apr 2017An In-Depth Look at Google's Tensor Processing Unit Architecture

   arXiv ↗
5. 705
   

   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 ↗
6. 706
   

   Exploiting Similarities among Languages for Machine Translation

   Tomas Mikolov et al. · 2013

   Hacker News threads

   • Aug 2015Exploiting Similarities Among Languages for Machine Translation (2013)
   • Oct 2013Stanford researchers to open source model they say has nailed sentiment analysis
   • Jun 2015Abstractions my Deep Learning word2vec model made
   • Mar 2017Facebook releases 300-dimensional pretrained Fasttext vectors for 90 languages

   arXiv ↗
7. 707
   

   Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks

   Ian J. Goodfellow et al. · 2013

   Hacker News threads

   • Jan 2014How Google Cracked House Number Identification in Street View
   • Apr 2014Google's Street View computer vision can beat reCAPTCHA with 99% accuracy
   • Apr 2014Google's Street View computer vision can beat reCAPTCHA with 99% accuracy
   • Jun 2014Captchas are Becoming Ridiculous
   • Jul 2014Inside Google Brain
   • Feb 2016Judge tosses proposed class action accusing Google of CAPTCHA fraud
   • Jun 2016Intro to Hidden Markov Models (2010) [pdf]
   • Mar 2017ReBreakCaptcha: Breaking Google’s ReCaptcha v2 Using Google

   arXiv ↗
8. 708
   

   Image Super-Resolution Using Deep Convolutional Networks

   Chao Dong et al. · 2014

   Hacker News threads

   • Aug 2015Image Scaling using Deep Convolutional Neural Networks
   • Oct 2016Neural Enhance – Super Resolution for images using deep learning
   • Nov 2016RAISR Sharp Images with Machine Learning
   • Nov 2016RAISR Sharp Images with Machine Learning
   • Jan 2017With Google's RAISR, images can be up to 75% smaller without losing detail
   • Feb 2017The Convex Geometry of Inverse Problems [video]

   arXiv ↗
9. 709
   

   Improved Techniques for Training GANs

   Tim Salimans et al. · 2016

   Hacker News threads

   • Jun 2016Improved Techniques for Training GANs – OpenAI's first paper
   • Jun 2016Generative Models
   • Aug 2016OpenAI Team Update
   • Jan 2017Game Theory Reveals the Future of Deep Learning

   arXiv ↗
10. 710
    

    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 ↗
11. 711
    

    Combining Markov Random Fields and Convolutional Neural Networks for Image Synthesis

    Chuan Li, Michael Wand · 2016

    Hacker News threads

    • Jan 2016Combining Markov Random Fields and Convolutional Neural Nets for Image Synthesis
    • Jan 2016Combining Markov Random Fields and Convolutional Neural Networks for Image Synth
    • Jan 2016Transfer Image Style -Combining Markov Random Fields and CNN for Image Synthesis
    • Mar 2016Pictures combined using Neural networks
    • Mar 2016Image Analogies using Neural Networks
    • Mar 2016Images analogies deep learning
    • Apr 2016Technologists have produced a 3D-printed painting in the style of Rembrandt
    • Sep 2016Show HN: Wave function collapse algorithm

    arXiv ↗
12. 712
    

    Antisocial Behavior in Online Discussion Communities

    Justin Cheng et al. · 2015

    Hacker News threads

    • Apr 2015Antisocial Behavior in Online Discussion Communities [pdf]
    • Apr 2015Internet trolls: Proactive policing
    • Apr 2015Internet trolls: Proactive policing
    • Apr 2015Internet trolls: Proactive policing
    • Jun 2015European court decision: Websites are liable for users’ comments
    • Jun 2015Fighting spam with Haskell
    • Aug 2016News Feed FYI: Further Reducing Clickbait in Feed

    arXiv ↗
13. 713
    

    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 ↗
14. 714
    

    Artistic style transfer for videos

    Manuel Ruder et al. · 2016

    Hacker News threads

    • May 2016Artistic Style Transfer for Video
    • Jul 2016Artistic style transfer for videos
    • May 2016Artistic style transfer for videos [video]
    • May 2016Artistic style transfer for videos
    • Jun 2016DeepArt.io introduces style transfer for videos
    • Jul 2016Prisma: neural-style instagram filters

    arXiv ↗
15. 715
    

    Multi-view Face Detection Using Deep Convolutional Neural Networks

    Sachin Sudhakar Farfade et al. · 2015

    Hacker News threads

    • Feb 2015Multi-View Face Detection Using Deep Convolutional Neural Networks
    • Feb 2015The Face Detection Algorithm Set to Revolutionize Image Search
    • Aug 2015Image Scaling using Deep Convolutional Neural Networks
    • Jun 2016Ask HN: Microsoft Computer Vision API or Google Cloud Vision API?

    arXiv ↗
16. 716
    

    Learning to Search Better Than Your Teacher

    Kai-Wei Chang et al. · 2015

    Hacker News threads

    • Mar 2016Lee Sedol Beats AlphaGo in Game 4
    • Mar 2016FlappyBird hack using Deep Q-Learning
    • May 2016SyntaxNet: Neural Models of Syntax
    • Jun 2016Intro to Hidden Markov Models (2010) [pdf]

    arXiv ↗
17. 717
    

    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 ↗
18. 718
    

    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 ↗
19. 719
    

    Do Deep Nets Really Need to be Deep?

    Lei Jimmy Ba, Rich Caruana · 2013

    Hacker News threads

    • Oct 2014Do Deep Nets Really Need to be Deep? [pdf]
    • Jan 2014Shallow neural networks as good as Deep Neural Networks
    • Jan 2014Do Deep Nets Really Need to be Deep?
    • Aug 2014IBM Chip Processes Data Similar to the Way Your Brain Does
    • Sep 2014A Revolutionary Technique That Changed Machine Vision
    • Jan 2015A Brief Overview of Deep Learning
    • Jun 2016The truth about deep learning

    arXiv ↗
20. 720
    

    Practical recommendations for gradient-based training of deep architectures

    Yoshua Bengio · 2012

    Hacker News threads

    • Nov 2013Deep Learning 101
    • May 2014Deep Learning From The Bottom Up
    • Dec 2014Deep Learning Reading List
    • May 2016Ask HN: What Is the Best Way to Tune Hyper Parameters for a Deep Neural Network?

    arXiv ↗
21. 721
    

    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 ↗
22. 722
    

    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 ↗
23. 723
    

    Teaching Deep Convolutional Neural Networks to Play Go

    Christopher Clark, Amos Storkey · 2014

    Hacker News threads

    • Dec 2014Teaching Deep Convolutional Neural Networks to Play Go
    • May 2015Show HN: Recurrent neural net plays 'neural slime volleyball' in JavaScript
    • Jul 2015How Google Translate squeezes deep learning onto a phone
    • Aug 2015IBM Adds Medical Images to Watson, Buying Merge Healthcare for $1B
    • Aug 2015IBM Adds Medical Images to Watson, Buying Merge Healthcare for $1B
    • Sep 2015AI Teaches Itself Chess in 72 Hours, Plays at International Master Level
    • Nov 2015Watch an AI bot play Go [video]

    arXiv ↗
24. 724
    

    Twitter mood predicts the stock market

    Johan Bollen et al. · 2010

    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"?

    arXiv ↗

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