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Research papers I've read.

A running log of papers I've studied.

14 papers

  • MapReduce: Simplified Data Processing on Large Clusters

    Jeffrey Dean, Sanjay Ghemawat

    OSDI · 2004

  • Bigtable: A Distributed Storage System for Structured Data

    Fay Chang et al.

    OSDI · 2006

  • The Google File System

    Sanjay Ghemawat et al.

    SOSP · 2003

  • Dynamo: Amazon's Highly Available Key-value Store

    Giuseppe DeCandia et al.

    SOSP · 2007

  • In Search of an Understandable Consensus Algorithm (Raft)

    Diego Ongaro, John Ousterhout

    ATC · 2014

  • Paxos Made Simple

    Leslie Lamport

    SIGACT News · 2001

  • Attention Is All You Need

    Ashish Vaswani et al.

    NeurIPS · 2017

  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

    Jacob Devlin et al.

    NAACL · 2019

  • Improving Language Understanding by Generative Pre-Training (GPT)

    Alec Radford et al.

    OpenAI · 2018

  • Language Models are Unsupervised Multitask Learners (GPT-2)

    Alec Radford et al.

    OpenAI · 2019

  • ImageNet Classification with Deep Convolutional Neural Networks

    Alex Krizhevsky et al.

    NeurIPS · 2012

  • Long Short-Term Memory

    Sepp Hochreiter, Jürgen Schmidhuber

    Neural Computation · 1997

  • A Few Useful Things to Know About Machine Learning

    Pedro Domingos

    CACM · 2012

  • The Unreasonable Effectiveness of Data

    Alon Halevy et al.

    IEEE Intelligent Systems · 2009