72 citations · 331 across the 26 of their papers we have counts for
26 papers
The Roles of Symbols in Neural-based AI: They are Not What You Think!
Daniel L. Silver, Tom M. Mitchell
We propose that symbols are first and foremost external communication tools used between intelligent agents that allow knowledge to be transferred in a more efficient and effective…
Read and Reap the Rewards: Learning to Play Atari with the Help of Instruction Manuals
Yue Wu, Yewen Fan, Paul Pu Liang +3
High sample complexity has long been a challenge for RL. On the other hand, humans learn to perform tasks not only from interaction or demonstrations, but also by reading unstructu…
Transferable Student Performance Modeling for Intelligent Tutoring Systems
Robin Schmucker, Tom M. Mitchell
Millions of learners worldwide are now using intelligent tutoring systems (ITSs). At their core, ITSs rely on machine learning algorithms to track each user's changing performance…
Coarse-to-Fine Curriculum Learning
Otilia Stretcu, Emmanouil Antonios Platanios, Tom M. Mitchell +1
When faced with learning challenging new tasks, humans often follow sequences of steps that allow them to incrementally build up the necessary skills for performing these new tasks…
Gender Bias, Social Bias and Representation: 70 Years of Bollywood
Kunal Khadilkar, Ashiqur R. KhudaBukhsh, Tom M. Mitchell
With an outreach in more than 90 countries, a market share of 2.1 billion dollars and a target audience base of at least 1.2 billion people, Bollywood, aka the Mumbai film industry…
Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election
Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet +1
The growing political polarization of the American electorate over the last several decades has been widely studied and documented. During the administration of President Donald Tr…