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02/02/2023
RobustNeRF: Ignoring Distractors with Robust Losses
Neural radiance fields (NeRF) excel at synthesizing new views given mult...
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11/29/2022
Testing GLOM's ability to infer wholes from ambiguous parts
The GLOM architecture proposed by Hinton [2021] is a recurrent neural ne...
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11/03/2022
nerf2nerf: Pairwise Registration of Neural Radiance Fields
We introduce a technique for pairwise registration of neural fields that...
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12/08/2020
Canonical Capsules: Unsupervised Capsules in Canonical Pose
We propose an unsupervised capsule architecture for 3D point clouds. We ...
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11/27/2020
Unsupervised part representation by Flow Capsules
Capsule networks are designed to parse an image into a hierarchy of obje...
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07/05/2019
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
Adversarial examples raise questions about whether neural network models...
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06/17/2019
Stacked Capsule Autoencoders
An object can be seen as a geometrically organized set of interrelated p...
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02/21/2019
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Lingvo is a Tensorflow framework offering a complete solution for collab...
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11/16/2018
DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules
We present a simple technique that allows capsule models to detect adver...
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10/02/2018
Optimal Completion Distillation for Sequence Learning
We present Optimal Completion Distillation (OCD), a training procedure f...
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10/26/2017
Dynamic Routing Between Capsules
A capsule is a group of neurons whose activity vector represents the ins...
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11/16/2015