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2310.18777
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Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings
28 October 2023
Yi Ren
Samuel Lavoie
Mikhail Galkin
Danica J. Sutherland
Aaron Courville
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Papers citing
"Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings"
21 / 21 papers shown
Title
A Communication Framework for Compositional Generation
Rafael Elberg
Mircea Petrache
Denis Parra
90
0
0
17 Feb 2025
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
61
4
0
18 Oct 2024
Understanding Simplicity Bias towards Compositional Mappings via Learning Dynamics
Yi Ren
Danica J. Sutherland
CoGe
32
3
0
15 Sep 2024
Emergence of Hidden Capabilities: Exploring Learning Dynamics in Concept Space
Core Francisco Park
Maya Okawa
Andrew Lee
Ekdeep Singh Lubana
Hidenori Tanaka
62
7
0
27 Jun 2024
Eliciting the Priors of Large Language Models using Iterated In-Context Learning
Jian-Qiao Zhu
Thomas L. Griffiths
BDL
42
2
0
04 Jun 2024
When does compositional structure yield compositional generalization? A kernel theory
Samuel Lippl
Kim Stachenfeld
NAI
CoGe
73
5
0
26 May 2024
A General Theory for Compositional Generalization
Jingwen Fu
Zhizheng Zhang
Yan Lu
Nanning Zheng
AI4CE
CoGe
29
2
0
20 May 2024
Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning
Rafael Elberg
Denis Parra
Mircea Petrache
MedIm
DiffM
28
2
0
02 May 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
Markus Frey
Sichu Liang
Wentao Hu
Matthias Nau
Ju Jia
Shilin Wang
AAML
36
3
0
21 Apr 2024
Iterated Learning Improves Compositionality in Large Vision-Language Models
Chenhao Zheng
Jieyu Zhang
Aniruddha Kembhavi
Ranjay Krishna
VLM
CoGe
54
9
0
02 Apr 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin
Tong Che
Hongwu Peng
Yiyuan Li
Dimitris N. Metaxas
Marco Pavone
44
43
0
05 Feb 2024
Towards Principled Graph Transformers
Luis Muller
Daniel Kusuma
Blai Bonet
Christopher Morris
33
3
0
18 Jan 2024
Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language
Zhenlin Xu
Marc Niethammer
Colin Raffel
CoGe
OOD
OCL
DRL
46
38
0
02 Oct 2022
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
93
180
0
16 May 2022
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Iterated learning for emergent systematicity in VQA
Ankit Vani
Max Schwarzer
Yucheng Lu
Eeshan Gunesh Dhekane
Aaron C. Courville
70
24
0
03 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
317
5,785
0
29 Apr 2021
Benchmarking Graph Neural Networks
Vijay Prakash Dwivedi
Chaitanya K. Joshi
Anh Tuan Luu
T. Laurent
Yoshua Bengio
Xavier Bresson
189
916
0
02 Mar 2020
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
175
1,778
0
02 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,198
0
01 Sep 2014
Measuring and testing dependence by correlation of distances
G. Székely
Maria L. Rizzo
N. K. Bakirov
177
2,577
0
28 Mar 2008
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