Now showing items 1-10 of 10

    • A Definition of General Problem Solving 

      Liao, Qianli (2020-07-13)
      What is general intelligence? What does it mean by general problem solving? We attempt to give a definition of general problem solving, characterize the common process of problem solving and provide a basic algorithm that ...
    • Flexible Intelligence 

      Liao, Qianli (2020-06-18)
      We discuss the problem of flexibility in intelligence, a relatively little-studied topic in machine learning and AI. Flexibility can be understood as out-of-distribution generalization, and it can be achieved by converting ...
    • 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.
    • 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 ...
    • 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 ...
    • Technical Report: Building a Neural Ensemble Decoder by Extracting Features Shared Across Multiple Populations 

      Chang, Chia-Jung (2019-09-05)
      To understand whether and how a certain population of neurons represent behavioral-relevant vari- ables, building a neural ensemble decoder has been used to extract information from the recorded activity. Among different ...
    • Universal Format Conversions 

      Liao, Qianli (2020-06-05)
      Information is the fuel for intelligence. Any competitive intelligence system should be information hungry. “Formats” on the other hand, is the container for information. Accessing information without the ability to decipher ...
    • Universal Metaphysics 

      Liao, Qianli (2019-12-31)
      The development of natural science especially physics allows us to understand to a large extent the material world. However, the world also contains a large amount of concepts that are non-material and abstract, which are ...
    • 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 ...