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CBMM Publications - Other

Research and Teaching Output of the MIT Community

CBMM Publications - Other

 

Recent Submissions

  • The Language of Fake News: Opening the Black-Box of Deep Learning Based Detectors 
    O'Brien, Nicole; Latessa, Sophia; Evangelopoulos, Georgios; Boix, Xavier (Center for Brains, Minds and Machines (CBMM), 2018-11-01)
    The digital information age has generated new outlets for content creators to publish so-called “fake news”, a new form of propaganda that is intentionally designed to mislead the reader. With the widespread effects of the ...
  • Representations That Learn vs. Learning Representations 
    Liao, Qianli; Poggio, Tomaso (2018-12-31)
    During the last decade, we have witnessed tremendous progress in Machine Learning and especially the area of Deep Learning, a.k.a. “Learning Representations” (LearnRep for short). There is even an International Conference ...
  • When Is Handcrafting Not a Curse? 
    Liao, Qianli; Poggio, Tomaso (2018-12-31)
    Recently, with the proliferation of deep learning, there is a strong trend of abandoning handcrafted sys- tems/features in machine learning and AI by replacing them with “end-to-end” systems “learned from scratch”. These ...
  • Spatial IQ Test for AI 
    Hilton, Erwin; Liao, Qianli; Poggio, Tomaso (2017-12-31)
    We introduce SITD (Spatial IQ Test Dataset), a dataset used to evaluate the capabilities of computational models for pattern recognition and visual reasoning. SITD is a generator of images in the style of the Raven Progressive ...
  • Human-like Learning: A Research Proposal 
    Liao, Qianli; Poggio, Tomaso (2017-09-28)
    We propose Human-like Learning, a new machine learning paradigm aiming at training generalist AI systems in a human-like manner with a focus on human-unique skills.
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