TAAFT
Free mode
100% free
Freemium
Free Trial
Deals

Papers

  • The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
    IBM / Kyoto University
    Published on: 2019-04-26 1 author
  • DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks
    Amazon / Amazon Research
    Published on: 2019-02-22 1 author
  • AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias
    IBM
    Published on: 2018-10-03 1 author
  • Improving Language Understanding by Generative Pre-Training (GPT-1)
    Published on: 2018-06-10 1 author
  • Language Models are Unsupervised Multitask Learners
    Published on: 2018-02-01 1 author
  • Mask R-CNN
    Meta Platforms / Facebook AI Research
    Published on: 2018-01-24 1 author
  • Billion-scale similarity search with GPUs
    Meta Platforms / Facebook AI Research
    Published on: 2017-12-28 1 author
  • Learning with Privacy at Scale
    Published on: 2017-12-01 1 author
  • Proximal Policy Optimization Algorithms
    Published on: 2017-08-28 1 author
  • Attention Is All You Need
    Google / Google DeepMind, Google Research
    Published on: 2017-06-12 Venue: NeurIPS 2017 8 authors
  • BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
    Published on: 2017-05-24 1 author
  • Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    Published on: 2016-12-06 1 author
  • Bag of Tricks for Efficient Text Classification
    Meta Platforms / Facebook AI Research
    Published on: 2016-08-09 1 author
  • Concrete Problems in AI Safety
    Google / Stanford University
    Published on: 2016-07-25 1 author
  • Deep Residual Learning for Image Recognition
    Microsoft / Microsoft Research
    Published on: 2015-12-10 1 author
  • Performance of Large Language Models in Answering Critical Care Medicine Questions
    Meta Platforms / Duke University
    Published on: 0005-02-20 1 author
0 AIs selected
Clear selection
#
Name
Task