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On the Principles of Parsimony and Self-Consistency for the Emergence of
  Intelligence

On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence

11 July 2022
Y. Ma
Doris Y. Tsao
H. Shum
ArXivPDFHTML

Papers citing "On the Principles of Parsimony and Self-Consistency for the Emergence of Intelligence"

14 / 14 papers shown
Title
Physics Informed Constrained Learning of Dynamics from Static Data
Physics Informed Constrained Learning of Dynamics from Static Data
Pengtao Dang
Tingbo Guo
Melissa Fishel
Guang Lin
Wenzhuo Wu
Sha Cao
Chi Zhang
PINN
AI4CE
49
0
0
17 Apr 2025
A mathematical framework of intelligence and consciousness based on
  Riemannian Geometry
A mathematical framework of intelligence and consciousness based on Riemannian Geometry
Meng Lu
AI4CE
19
0
0
02 Jul 2024
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Xinyi Shang
Peng Sun
Tao Lin
45
2
0
23 May 2024
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale
  Fine-Grained Image Retrieval
Attribute-Aware Deep Hashing with Self-Consistency for Large-Scale Fine-Grained Image Retrieval
Xiu-Shen Wei
Yang Shen
Xuhao Sun
Peng Wang
Yuxin Peng
22
10
0
21 Nov 2023
Clustering-based Domain-Incremental Learning
Clustering-based Domain-Incremental Learning
Christiaan Lamers
René Vidal
A. Belbachir
N. V. Stein
Thomas Baeck
Paris Giampouras
CLL
OOD
24
10
0
21 Sep 2023
Understanding the World to Solve Social Dilemmas Using Multi-Agent
  Reinforcement Learning
Understanding the World to Solve Social Dilemmas Using Multi-Agent Reinforcement Learning
Manuel Rios
Nicanor Quijano
Luis Felipe Giraldo
21
1
0
19 May 2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Can Qin
Ning Yu
Chen Xing
Shu Zhen Zhang
Zeyuan Chen
Stefano Ermon
Yun Fu
Caiming Xiong
Ran Xu
DiffM
30
19
0
17 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language
  Models
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
Matthew Trager
Pramuditha Perera
L. Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
CoGe
19
30
0
28 Feb 2023
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Minimalistic Unsupervised Learning with the Sparse Manifold Transform
Yubei Chen
Zeyu Yun
Y. Ma
Bruno A. Olshausen
Yann LeCun
37
8
0
30 Sep 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
174
1,103
0
27 Apr 2021
Deep Networks and the Multiple Manifold Problem
Deep Networks and the Multiple Manifold Problem
Sam Buchanan
D. Gilboa
John N. Wright
166
39
0
25 Aug 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces
A General Theory of Equivariant CNNs on Homogeneous Spaces
Taco S. Cohen
Mario Geiger
Maurice Weiler
MLT
AI4CE
149
308
0
05 Nov 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
288
10,214
0
16 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
1