activity
20092020
most citedDeep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

919 citations · 1.5k across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2020

Experience Grounds Language

Yonatan Bisk, Ari Holtzman, Jesse Thomason +9

Language understanding research is held back by a failure to relate language to the physical world it describes and to the social interactions it facilitates. Despite the incredibl…

q-bio.NC2014★ 919 cited

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Charles F. Cadieu, Ha Hong, Daniel L. K. Yamins +5

The primate visual system achieves remarkable visual object recognition performance even in brief presentations and under changes to object exemplar, geometric transformations, and…

cs.SE2013★ 1 cited

GPU Scripting and Code Generation with PyCUDA

Andreas Klöckner, Nicolas Pinto, Bryan Catanzaro +3

High-level scripting languages are in many ways polar opposites to GPUs. GPUs are highly parallel, subject to hardware subtleties, and designed for maximum throughput, and they off…

cs.NE2013★ 27 cited

The Neural Representation Benchmark and its Evaluation on Brain and Machine

Charles F. Cadieu, Ha Hong, Dan Yamins +3

A key requirement for the development of effective learning representations is their evaluation and comparison to representations we know to be effective. In natural sensory domain…

cs.DC2009★ 588 cited

PyCUDA and PyOpenCL: A Scripting-Based Approach to GPU Run-Time Code Generation

Andreas Klöckner, Nicolas Pinto, Yunsup Lee +3

High-performance computing has recently seen a surge of interest in heterogeneous systems, with an emphasis on modern Graphics Processing Units (GPUs). These devices offer tremendo…