Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1902.07181
Cited By
Measuring Compositionality in Representation Learning
19 February 2019
Jacob Andreas
CoGe
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Measuring Compositionality in Representation Learning"
39 / 39 papers shown
Title
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
Devon Jarvis
Richard Klein
Benjamin Rosman
Andrew M. Saxe
MLT
66
1
0
08 Mar 2025
Unsupervised Translation of Emergent Communication
Ido Levy
Orr Paradise
Boaz Carmeli
Ron Meir
S. Goldwasser
Yonatan Belinkov
137
0
0
11 Feb 2025
A Complexity-Based Theory of Compositionality
Eric Elmoznino
Thomas Jiralerspong
Yoshua Bengio
Guillaume Lajoie
CoGe
64
4
0
18 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime
Jin Hwa Lee
Thomas Jiralerspong
Lei Yu
Yoshua Bengio
Emily Cheng
CoGe
84
0
0
02 Oct 2024
A Review of the Applications of Deep Learning-Based Emergent Communication
Brendon Boldt
David R. Mortensen
VLM
34
6
0
03 Jul 2024
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
Weixi Feng
Jiachen Li
Michael Stephen Saxon
Tsu-jui Fu
Wenhu Chen
William Yang Wang
EGVM
VGen
38
9
0
12 Jun 2024
Compositional Generalization with Grounded Language Models
Sondre Wold
Étienne Simon
Lucas Georges Gabriel Charpentier
Egor V. Kostylev
Erik Velldal
Lilja Øvrelid
KELM
31
0
0
07 Jun 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks
Jacob Russin
Sam Whitman McGrath
Danielle J. Williams
Lotem Elber-Dorozko
AI4CE
73
3
0
24 May 2024
On the generalization capacity of neural networks during generic multimodal reasoning
Takuya Ito
Soham Dan
Mattia Rigotti
James Kozloski
Murray Campbell
LRM
40
2
0
26 Jan 2024
Compositional Fusion of Signals in Data Embedding
Zhijin Guo
Zhaozhen Xu
Martha Lewis
N. Cristianini
19
0
0
18 Nov 2023
Does Visual Pretraining Help End-to-End Reasoning?
Chen Sun
Calvin Luo
Xingyi Zhou
Anurag Arnab
Cordelia Schmid
OCL
LRM
ViT
35
3
0
17 Jul 2023
Learning to Extrapolate: A Transductive Approach
Aviv Netanyahu
Abhishek Gupta
Max Simchowitz
Kaipeng Zhang
Pulkit Agrawal
49
15
0
27 Apr 2023
Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima
Julian Zubek
Tomasz Korbak
J. Rączaszek-Leonardi
28
2
0
08 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models
Matthew Trager
Pramuditha Perera
L. Zancato
Alessandro Achille
Parminder Bhatia
Stefano Soatto
CoGe
33
30
0
28 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
Verna Dankers
Ivan Titov
33
2
0
31 Jan 2023
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
38
1
0
22 Nov 2022
Neural Systematic Binder
Gautam Singh
Yeongbin Kim
Sungjin Ahn
OCL
32
36
0
02 Nov 2022
Transparency Helps Reveal When Language Models Learn Meaning
Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
19
9
0
14 Oct 2022
Robust and Controllable Object-Centric Learning through Energy-based Models
Ruixiang Zhang
Tong Che
Boris Ivanovic
Renhao Wang
Marco Pavone
Yoshua Bengio
Liam Paull
OCL
31
8
0
11 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models
Emmy Liu
Graham Neubig
CoGe
18
10
0
07 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification
Adrien Bennetot
Gianni Franchi
Javier Del Ser
Raja Chatila
Natalia Díaz Rodríguez
AAML
32
29
0
26 Sep 2022
Benchmarking Compositionality with Formal Languages
Josef Valvoda
Naomi Saphra
Jonathan Rawski
Adina Williams
Ryan Cotterell
NAI
CoGe
30
8
0
17 Aug 2022
Unit Testing for Concepts in Neural Networks
Charles Lovering
Ellie Pavlick
25
28
0
28 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition
Jorge Armando Mendez Mendez
Eric Eaton
KELM
CLL
32
27
0
15 Jul 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts?
Tian Yun
Usha Bhalla
Ellie Pavlick
Chen Sun
ReLM
CoGe
VLM
LRM
31
23
0
31 Mar 2022
Grounded Graph Decoding Improves Compositional Generalization in Question Answering
Yu Gai
Paras Jain
Wendi Zhang
Joseph E. Gonzalez
D. Song
Ion Stoica
BDL
OOD
29
8
0
05 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games
Kamal Gupta
Gowthami Somepalli
Anubhav Gupta
Vinoj Jayasundara
Matthias Zwicker
Abhinav Shrivastava
25
3
0
02 Nov 2021
Improving Compositional Generalization with Self-Training for Data-to-Text Generation
Sanket Vaibhav Mehta
J. Rao
Yi Tay
Mihir Kale
Ankur P. Parikh
Emma Strubell
AI4CE
38
30
0
16 Oct 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
Natalia Díaz Rodríguez
Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
S. Tabik
David Filliat
P. Cruz
Rosana Montes
Francisco Herrera
49
77
0
24 Apr 2021
Inductive Bias and Language Expressivity in Emergent Communication
Shangmin Guo
Yi Ren
A. Slowik
K. Mathewson
25
8
0
04 Dec 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
Róbert Csordás
Sjoerd van Steenkiste
Jürgen Schmidhuber
47
87
0
05 Oct 2020
Think before you act: A simple baseline for compositional generalization
C. Heinze-Deml
Diane Bouchacourt
CoGe
15
16
0
29 Sep 2020
Emergent Multi-Agent Communication in the Deep Learning Era
Angeliki Lazaridou
Marco Baroni
AI4CE
48
196
0
03 Jun 2020
The Unreasonable Volatility of Neural Machine Translation Models
Marzieh Fadaee
Christof Monz
25
16
0
25 May 2020
Compositional Languages Emerge in a Neural Iterated Learning Model
Yi Ren
Shangmin Guo
Matthieu Labeau
Shay B. Cohen
S. Kirby
16
96
0
04 Feb 2020
Locality and compositionality in zero-shot learning
Tristan Sylvain
Linda Petrini
R. Devon Hjelm
21
56
0
20 Dec 2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
21
347
0
20 Dec 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning
Cinjon Resnick
Abhinav Gupta
Jakob N. Foerster
Andrew M. Dai
Kyunghyun Cho
18
51
0
24 Oct 2019
Discovering the Compositional Structure of Vector Representations with Role Learning Networks
Paul Soulos
R. Thomas McCoy
Tal Linzen
P. Smolensky
CoGe
29
43
0
21 Oct 2019
1