research
∙
08/14/2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts
The visual object category reports of artificial neural networks (ANNs) ...
share
research
∙
11/12/2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Adversarial examples are often cited by neuroscientists and machine lear...
research
∙
10/20/2021
Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs
While some convolutional neural networks (CNNs) have surpassed human vis...
research
∙
03/25/2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
We introduce a visually-guided and physics-driven task-and-motion planni...
research
∙
07/09/2020
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal p...
research
∙
09/13/2019
Brain-Like Object Recognition with High-Performing Shallow Recurrent ANNs
Deep convolutional artificial neural networks (ANNs) are the leading cla...
research
∙
08/04/2018
Teacher Guided Architecture Search
Strong improvements in network performance in vision tasks have resulted...
research
∙
06/20/2018
Task-Driven Convolutional Recurrent Models of the Visual System
Feed-forward convolutional neural networks (CNNs) are currently state-of...
research
∙
06/12/2014
Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition
The primate visual system achieves remarkable visual object recognition ...
research
∙
01/15/2013