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Compositional generalization in a deep seq2seq model by separating
  syntax and semantics

Compositional generalization in a deep seq2seq model by separating syntax and semantics

22 April 2019
Jacob Russin
Jason Jo
R. C. O'Reilly
Yoshua Bengio
ArXivPDFHTML

Papers citing "Compositional generalization in a deep seq2seq model by separating syntax and semantics"

44 / 44 papers shown
Title
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
A Theoretical Analysis of Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition
Yuanpeng Li
CoGe
138
0
0
05 May 2025
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction
Yuncheng Hua
Yujin Huang
Shuo Huang
Tao Feng
Lizhen Qu
Chris Bain
R. Bassed
Gholamreza Haffari
CML
OOD
53
2
0
18 Jun 2024
Towards Equipping Transformer with the Ability of Systematic
  Compositionality
Towards Equipping Transformer with the Ability of Systematic Compositionality
Chen Huang
Peixin Qin
Wenqiang Lei
Jiancheng Lv
27
1
0
12 Dec 2023
Layer-wise Representation Fusion for Compositional Generalization
Layer-wise Representation Fusion for Compositional Generalization
Yafang Zheng
Lei Lin
Shantao Liu
Binling Wang
Zhaohong Lai
Wenhao Rao
Biao Fu
Yidong Chen
Xiaodon Shi
AI4CE
43
2
0
20 Jul 2023
Compositional Generalization from First Principles
Compositional Generalization from First Principles
Thaddäus Wiedemer
Prasanna Mayilvahanan
Matthias Bethge
Wieland Brendel
OCL
25
37
0
10 Jul 2023
Out-of-Distribution Generalization in Text Classification: Past,
  Present, and Future
Out-of-Distribution Generalization in Text Classification: Past, Present, and Future
Linyi Yang
Y. Song
Xuan Ren
Chenyang Lyu
Yidong Wang
Lingqiao Liu
Jindong Wang
Jennifer Foster
Yue Zhang
OOD
32
2
0
23 May 2023
Learning to Compose Representations of Different Encoder Layers towards
  Improving Compositional Generalization
Learning to Compose Representations of Different Encoder Layers towards Improving Compositional Generalization
Lei Lin
Shuangtao Li
Yafang Zheng
Biao Fu
Shantao Liu
Yidong Chen
Xiaodon Shi
CoGe
25
2
0
20 May 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
Da Xu
Bo Yang
22
3
0
09 Apr 2023
Information-Restricted Neural Language Models Reveal Different Brain
  Regions' Sensitivity to Semantics, Syntax and Context
Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context
Alexandre Pasquiou
Yair Lakretz
B. Thirion
Christophe Pallier
19
16
0
28 Feb 2023
A Short Survey of Systematic Generalization
A Short Survey of Systematic Generalization
Yuanpeng Li
AI4CE
38
1
0
22 Nov 2022
On the Compositional Generalization Gap of In-Context Learning
On the Compositional Generalization Gap of In-Context Learning
Arian Hosseini
Ankit Vani
Dzmitry Bahdanau
Alessandro Sordoni
Aaron C. Courville
19
24
0
15 Nov 2022
Neural-Symbolic Recursive Machine for Systematic Generalization
Neural-Symbolic Recursive Machine for Systematic Generalization
Qing Li
Yixin Zhu
Yitao Liang
Ying Nian Wu
Song-Chun Zhu
Siyuan Huang
NAI
38
9
0
04 Oct 2022
Equivariant Transduction through Invariant Alignment
Equivariant Transduction through Invariant Alignment
Jennifer C. White
Ryan Cotterell
16
4
0
22 Sep 2022
On a Built-in Conflict between Deep Learning and Systematic
  Generalization
On a Built-in Conflict between Deep Learning and Systematic Generalization
Yuanpeng Li
OOD
45
0
0
24 Aug 2022
Least-to-Most Prompting Enables Complex Reasoning in Large Language
  Models
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models
Denny Zhou
Nathanael Scharli
Le Hou
Jason W. Wei
Nathan Scales
...
Dale Schuurmans
Claire Cui
Olivier Bousquet
Quoc Le
Ed H. Chi
RALM
LRM
AI4CE
12
1,042
0
21 May 2022
Compositional Generalization and Decomposition in Neural Program
  Synthesis
Compositional Generalization and Decomposition in Neural Program Synthesis
Kensen Shi
Joey Hong
Manzil Zaheer
Pengcheng Yin
Charles Sutton
30
5
0
07 Apr 2022
Compositional Temporal Grounding with Structured Variational Cross-Graph
  Correspondence Learning
Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
Juncheng Li
Junlin Xie
Long Qian
Linchao Zhu
Siliang Tang
Fei Wu
Yi Yang
Yueting Zhuang
X. Wang
36
73
0
24 Mar 2022
Revisiting the Compositional Generalization Abilities of Neural Sequence
  Models
Revisiting the Compositional Generalization Abilities of Neural Sequence Models
Arkil Patel
S. Bhattamishra
Phil Blunsom
Navin Goyal
BDL
CoGe
23
32
0
14 Mar 2022
Improving Systematic Generalization Through Modularity and Augmentation
Improving Systematic Generalization Through Modularity and Augmentation
Laura Ruis
Brenden Lake
43
16
0
22 Feb 2022
Improving Compositional Generalization with Latent Structure and Data
  Augmentation
Improving Compositional Generalization with Latent Structure and Data Augmentation
Linlu Qiu
Peter Shaw
Panupong Pasupat
Pawel Krzysztof Nowak
Tal Linzen
Fei Sha
Kristina Toutanova
CoGe
23
57
0
14 Dec 2021
Learning to Generalize Compositionally by Transferring Across Semantic
  Parsing Tasks
Learning to Generalize Compositionally by Transferring Across Semantic Parsing Tasks
Wang Zhu
Peter Shaw
Tal Linzen
Fei Sha
32
7
0
09 Nov 2021
Grounded Graph Decoding Improves Compositional Generalization in
  Question Answering
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
The Neural Data Router: Adaptive Control Flow in Transformers Improves
  Systematic Generalization
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
AI4CE
27
55
0
14 Oct 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
33
40
0
02 Sep 2021
The Devil is in the Detail: Simple Tricks Improve Systematic
  Generalization of Transformers
The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
ViT
23
128
0
26 Aug 2021
Making Transformers Solve Compositional Tasks
Making Transformers Solve Compositional Tasks
Santiago Ontañón
Joshua Ainslie
Vaclav Cvicek
Zachary Kenneth Fisher
33
70
0
09 Aug 2021
Learning Algebraic Recombination for Compositional Generalization
Learning Algebraic Recombination for Compositional Generalization
Chenyao Liu
Shengnan An
Zeqi Lin
Qian Liu
Bei Chen
Jian-Guang Lou
Lijie Wen
Nanning Zheng
Dongmei Zhang
CoGe
194
36
0
14 Jul 2021
Can Transformers Jump Around Right in Natural Language? Assessing
  Performance Transfer from SCAN
Can Transformers Jump Around Right in Natural Language? Assessing Performance Transfer from SCAN
Rahma Chaabouni
Roberto Dessì
Eugene Kharitonov
19
20
0
03 Jul 2021
Improving Compositional Generalization in Classification Tasks via
  Structure Annotations
Improving Compositional Generalization in Classification Tasks via Structure Annotations
Juyong Kim
Pradeep Ravikumar
Joshua Ainslie
Santiago Ontañón
CoGe
16
18
0
19 Jun 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
26
73
0
08 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
153
44
0
31 May 2021
Emergent Symbols through Binding in External Memory
Emergent Symbols through Binding in External Memory
Taylor W. Webb
I. Sinha
J. Cohen
67
64
0
29 Dec 2020
Revisiting Iterative Back-Translation from the Perspective of
  Compositional Generalization
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization
Yinuo Guo
Hualei Zhu
Zeqi Lin
Bei Chen
Jian-Guang Lou
Dongmei Zhang
BDL
182
26
0
08 Dec 2020
Compositional Generalization and Natural Language Variation: Can a
  Semantic Parsing Approach Handle Both?
Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both?
Peter Shaw
Ming-Wei Chang
Panupong Pasupat
Kristina Toutanova
CoGe
25
182
0
24 Oct 2020
Learning to Recombine and Resample Data for Compositional Generalization
Learning to Recombine and Resample Data for Compositional Generalization
Ekin Akyürek
Afra Feyza Akyürek
Jacob Andreas
24
79
0
08 Oct 2020
Think before you act: A simple baseline for compositional generalization
Think before you act: A simple baseline for compositional generalization
C. Heinze-Deml
Diane Bouchacourt
CoGe
15
16
0
29 Sep 2020
Compositional Generalization in Semantic Parsing: Pre-training vs.
  Specialized Architectures
Compositional Generalization in Semantic Parsing: Pre-training vs. Specialized Architectures
Daniel Furrer
Marc van Zee
Nathan Scales
Nathanael Scharli
CoGe
13
113
0
17 Jul 2020
Compositional Generalization by Learning Analytical Expressions
Compositional Generalization by Learning Analytical Expressions
Qian Liu
Shengnan An
Jian-Guang Lou
Bei Chen
Zeqi Lin
Yan Gao
Bin Zhou
Nanning Zheng
Dongmei Zhang
CoGe
NAI
15
72
0
18 Jun 2020
Learning Compositional Rules via Neural Program Synthesis
Learning Compositional Rules via Neural Program Synthesis
Maxwell Nye
Armando Solar-Lezama
J. Tenenbaum
Brenden Lake
NAI
LRM
12
117
0
12 Mar 2020
Measuring Compositional Generalization: A Comprehensive Method on
  Realistic Data
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data
Daniel Keysers
Nathanael Scharli
Nathan Scales
Hylke Buisman
Daniel Furrer
...
Tibor Tihon
Dmitry Tsarkov
Xiao Wang
Marc van Zee
Olivier Bousquet
CoGe
21
347
0
20 Dec 2019
Discovering the Compositional Structure of Vector Representations with
  Role Learning Networks
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
Compositional generalization through meta sequence-to-sequence learning
Compositional generalization through meta sequence-to-sequence learning
Brenden Lake
CoGe
25
196
0
12 Jun 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
24
230
0
21 Apr 2019
Building machines that adapt and compute like brains
Building machines that adapt and compute like brains
Brenden Lake
J. Tenenbaum
AI4CE
FedML
NAI
AILaw
254
890
0
11 Nov 2017
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