@_arohan_ Nice work! I feel like versions of this keep appearing from time to time. For example from a few years ago sans the kernel interpretation https://t.co/y4mfaJHMGK & https://t.co/BUuE3U9UA8 & https://t.co/M1VAzZXs7j but closer to kernels, w
RT @dyamins: @neurograce @skornblith @AlGoulas @KordingLab @KriegeskorteLab @neuro_data And I recall that this was fairly directly inspired…
@neurograce @skornblith @AlGoulas @KordingLab @KriegeskorteLab @neuro_data And I recall that this was fairly directly inspired by what @npinto and @neurobongo and @JamesJDiCarlo did in https://t.co/tUR1BjzCes
RT @CSProfKGD: Great paper addressing the current complacency around object recognition. Reminiscent of @npinto seminal 2008 paper on obje…
RT @CSProfKGD: Great paper addressing the current complacency around object recognition. Reminiscent of @npinto seminal 2008 paper on obje…
Great paper addressing the current complacency around object recognition. Reminiscent of @npinto seminal 2008 paper on object recognition https://t.co/oogWkt3urQ
@deaneckles @stochastician reminiscent of this PLOSOne on the limits of machine vision: https://t.co/H0sL6NH7xd
#PLOSCompBio: Why is Real-World Visual Object Recognition Hard? https://t.co/8djfdkAQXc