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Probabilistic and Semantic Descriptions of Image Manifolds and Their
  Applications

Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications

6 July 2023
Peter Tu
Zhaoyuan Yang
Richard I. Hartley
Zhiwei Xu
Jing Zhang
Yiwei Fu
Dylan Campbell
Jaskirat Singh
Tianyu Wang
    DiffM
ArXivPDFHTML

Papers citing "Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications"

4 / 4 papers shown
Title
Compositional Generalization in Unsupervised Compositional
  Representation Learning: A Study on Disentanglement and Emergent Language
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Zhenlin Xu
Marc Niethammer
Colin Raffel
CoGe
OOD
OCL
DRL
39
38
0
02 Oct 2022
The Intrinsic Dimension of Images and Its Impact on Learning
The Intrinsic Dimension of Images and Its Impact on Learning
Phillip E. Pope
Chen Zhu
Ahmed Abdelkader
Micah Goldblum
Tom Goldstein
189
259
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
253
4,764
0
24 Feb 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
286
0
02 Dec 2018
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