Search Results for author: Josh H. McDermott

Found 6 papers, 4 papers with code

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

1 code implementation NeurIPS 2021 Joel Dapello, Jenelle Feather, Hang Le, Tiago Marques, David D. Cox, Josh H. McDermott, James J. DiCarlo, SueYeon Chung

Adversarial examples are often cited by neuroscientists and machine learning researchers as an example of how computational models diverge from biological sensory systems.

Adversarial Robustness

Speech Denoising with Auditory Models

1 code implementation21 Nov 2020 Mark R. Saddler, Andrew Francl, Jenelle Feather, Kaizhi Qian, Yang Zhang, Josh H. McDermott

Contemporary speech enhancement predominantly relies on audio transforms that are trained to reconstruct a clean speech waveform.

Denoising Speech Denoising +1

Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning

no code implementations20 Dec 2017 Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

The sound of crashing waves, the roar of fast-moving cars -- sound conveys important information about the objects in our surroundings.

Ambient Sound Provides Supervision for Visual Learning

1 code implementation25 Aug 2016 Andrew Owens, Jiajun Wu, Josh H. McDermott, William T. Freeman, Antonio Torralba

We show that, through this process, the network learns a representation that conveys information about objects and scenes.

Object Recognition

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