ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.16391
  4. Cited By
When does compositional structure yield compositional generalization? A kernel theory

When does compositional structure yield compositional generalization? A kernel theory

26 May 2024
Samuel Lippl
Kim Stachenfeld
    NAI
    CoGe
ArXivPDFHTML

Papers citing "When does compositional structure yield compositional generalization? A kernel theory"

10 / 10 papers shown
Title
Compositional Generalization Requires More Than Disentangled Representations
Compositional Generalization Requires More Than Disentangled Representations
Qiyao Liang
Daoyuan Qian
Liu Ziyin
Ila Fiete
DRL
OCL
CoGe
126
0
0
30 Jan 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural
  Kernel Theory
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Andrea Perin
Stéphane Deny
80
1
0
16 Dec 2024
Quantifying artificial intelligence through algebraic generalization
Quantifying artificial intelligence through algebraic generalization
Takuya Ito
Murray Campbell
L. Horesh
Tim Klinger
Parikshit Ram
ELM
41
0
0
08 Nov 2024
A Complexity-Based Theory of Compositionality
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
45
3
0
18 Oct 2024
On The Specialization of Neural Modules
On The Specialization of Neural Modules
Devon Jarvis
Richard Klein
Benjamin Rosman
Andrew M. Saxe
53
12
0
23 Sep 2024
Transformers generalize differently from information stored in context
  vs in weights
Transformers generalize differently from information stored in context vs in weights
Stephanie C. Y. Chan
Ishita Dasgupta
Junkyung Kim
D. Kumaran
Andrew Kyle Lampinen
Felix Hill
90
45
0
11 Oct 2022
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
33
38
0
02 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell
  Types
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
James C. R. Whittington
W. Dorrell
Surya Ganguli
Timothy Edward John Behrens
29
39
0
30 Sep 2022
Fast Neural Kernel Embeddings for General Activations
Fast Neural Kernel Embeddings for General Activations
Insu Han
A. Zandieh
Jaehoon Lee
Roman Novak
Lechao Xiao
Amin Karbasi
28
13
0
09 Sep 2022
Memorization vs. Generalization: Quantifying Data Leakage in NLP
  Performance Evaluation
Memorization vs. Generalization: Quantifying Data Leakage in NLP Performance Evaluation
Aparna Elangovan
Jiayuan He
Karin Verspoor
TDI
FedML
150
89
0
03 Feb 2021
1