activity
20142020
most citedDeep Learning: A Critical Appraisal

387 citations · 901 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2020★ 20 cited

A Review of Winograd Schema Challenge Datasets and Approaches

Vid Kocijan, Thomas Lukasiewicz, Ernest Davis +2

The Winograd Schema Challenge is both a commonsense reasoning and natural language understanding challenge, introduced as an alternative to the Turing test. A Winograd schema is a…

cs.AI2020★ 297 cited

The Next Decade in AI: Four Steps Towards Robust Artificial Intelligence

Gary Marcus

Recent research in artificial intelligence and machine learning has largely emphasized general-purpose learning and ever-larger training sets and more and more compute. In contrast…

cs.AI2018★ 99 cited

Innateness, AlphaZero, and Artificial Intelligence

Gary Marcus

The concept of innateness is rarely discussed in the context of artificial intelligence. When it is discussed, or hinted at, it is often the context of trying to reduce the amount…

cs.AI2018★ 387 cited

Deep Learning: A Critical Appraisal

Gary Marcus

Although deep learning has historical roots going back decades, neither the term "deep learning" nor the approach was popular just over five years ago, when the field was reignited…

cs.AI2015★ 8 cited

The Scope and Limits of Simulation in Cognitive Models

Ernest Davis, Gary Marcus

It has been proposed that human physical reasoning consists largely of running "physics engines in the head" in which the future trajectory of the physical system under considerati…

q-bio.NC2014★ 90 cited

Frequently Asked Questions for: The Atoms of Neural Computation

Gary F. Marcus, Adam H. Marblestone, Thomas L. Dean

Based on a survey of the literature, we attempt to answer Frequently Asked Questions on issues of cortical uniformity vs. non-uniformity, the neural mechanisms of symbolic variable…