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Compositional generalization through meta sequence-to-sequence learning
v1v2 (latest)

Compositional generalization through meta sequence-to-sequence learning

12 June 2019
Brenden M. Lake
    CoGe
ArXiv (abs)PDFHTML

Papers citing "Compositional generalization through meta sequence-to-sequence learning"

50 / 133 papers shown
Title
Leveraging Systematic Knowledge of 2D Transformations
Leveraging Systematic Knowledge of 2D Transformations
Jiachen Kang
W. Jia
Xiangjian He
107
4
0
02 Jun 2022
The CLRS Algorithmic Reasoning Benchmark
The CLRS Algorithmic Reasoning Benchmark
Petar Velivcković
Adria Puigdomenech Badia
David Budden
Razvan Pascanu
Andrea Banino
Mikhail Dashevskiy
R. Hadsell
Charles Blundell
213
96
0
31 May 2022
Evaluating the Impact of Model Scale for Compositional Generalization in
  Semantic Parsing
Evaluating the Impact of Model Scale for Compositional Generalization in Semantic Parsing
Linlu Qiu
Peter Shaw
Panupong Pasupat
Tianze Shi
Jonathan Herzig
Emily Pitler
Fei Sha
Kristina Toutanova
AI4CELRM
158
54
0
24 May 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
RALMLRMAI4CE
109
1,137
0
21 May 2022
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts
  and Zero-shot Models
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
Jingfeng Yang
Haoming Jiang
Qingyu Yin
Danqing Zhang
Bing Yin
Diyi Yang
78
48
0
15 May 2022
SUBS: Subtree Substitution for Compositional Semantic Parsing
SUBS: Subtree Substitution for Compositional Semantic Parsing
Jingfeng Yang
Le Zhang
Diyi Yang
89
21
0
03 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
81
6
0
07 Apr 2022
Disentangling Abstraction from Statistical Pattern Matching in Human and
  Machine Learning
Disentangling Abstraction from Statistical Pattern Matching in Human and Machine Learning
Sreejan Kumar
Ishita Dasgupta
Nathaniel D. Daw
Jonathan Cohen
Thomas Griffiths
80
10
0
04 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
Leilei Gan
Yi Yang
Yueting Zhuang
Xinze Wang
95
75
0
24 Mar 2022
Structurally Diverse Sampling for Sample-Efficient Training and
  Comprehensive Evaluation
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation
Shivanshu Gupta
Sameer Singh
Matt Gardner
96
7
0
16 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
BDLCoGe
78
32
0
14 Mar 2022
Improving Systematic Generalization Through Modularity and Augmentation
Improving Systematic Generalization Through Modularity and Augmentation
Laura Ruis
Brenden M. Lake
107
18
0
22 Feb 2022
Understanding Robust Generalization in Learning Regular Languages
Understanding Robust Generalization in Learning Regular Languages
Soham Dan
Osbert Bastani
Dan Roth
OOD
62
4
0
20 Feb 2022
Recursive Decoding: A Situated Cognition Approach to Compositional
  Generation in Grounded Language Understanding
Recursive Decoding: A Situated Cognition Approach to Compositional Generation in Grounded Language Understanding
Matthew Setzler
Scott Howland
Lauren A. Phillips
LRM
67
5
0
27 Jan 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
98
57
0
14 Dec 2021
Systematic Generalization with Edge Transformers
Systematic Generalization with Edge Transformers
Leon Bergen
Timothy J. O'Donnell
Dzmitry Bahdanau
65
47
0
01 Dec 2021
Composing Partial Differential Equations with Physics-Aware Neural
  Networks
Composing Partial Differential Equations with Physics-Aware Neural Networks
Matthias Karlbauer
T. Praditia
S. Otte
S. Oladyshkin
Wolfgang Nowak
Martin Volker Butz
AI4CE
92
20
0
23 Nov 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
88
7
0
09 Nov 2021
In a Nutshell, the Human Asked for This: Latent Goals for Following
  Temporal Specifications
In a Nutshell, the Human Asked for This: Latent Goals for Following Temporal Specifications
Borja G. Leon
Murray Shanahan
Francesco Belardinelli
AI4CE
96
16
0
18 Oct 2021
Improving Compositional Generalization with Self-Training for
  Data-to-Text Generation
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
92
30
0
16 Oct 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
115
57
0
14 Oct 2021
Inducing Transformer's Compositional Generalization Ability via
  Auxiliary Sequence Prediction Tasks
Inducing Transformer's Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks
Yichen Jiang
Joey Tianyi Zhou
140
26
0
30 Sep 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in
  Symbolic Mathematics
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics
Sean Welleck
Peter West
Jize Cao
Yejin Choi
146
31
0
28 Sep 2021
ReaSCAN: Compositional Reasoning in Language Grounding
ReaSCAN: Compositional Reasoning in Language Grounding
Zhengxuan Wu
Elisa Kreiss
Desmond C. Ong
Christopher Potts
CoGeLRM
79
22
0
18 Sep 2021
Finding needles in a haystack: Sampling Structurally-diverse Training
  Sets from Synthetic Data for Compositional Generalization
Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization
I. Oren
Jonathan Herzig
Jonathan Berant
73
31
0
06 Sep 2021
Sequence-to-Sequence Learning with Latent Neural Grammars
Sequence-to-Sequence Learning with Latent Neural Grammars
Yoon Kim
162
40
0
02 Sep 2021
Survey of Low-Resource Machine Translation
Survey of Low-Resource Machine Translation
Barry Haddow
Rachel Bawden
Antonio Valerio Miceli Barone
Jindvrich Helcl
Alexandra Birch
AIMat
118
162
0
01 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
124
134
0
26 Aug 2021
The paradox of the compositionality of natural language: a neural
  machine translation case study
The paradox of the compositionality of natural language: a neural machine translation case study
Verna Dankers
Elia Bruni
Dieuwke Hupkes
CoGe
221
81
0
12 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
249
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
86
20
0
03 Jul 2021
Few-Shot Learning with a Strong Teacher
Few-Shot Learning with a Strong Teacher
Han-Jia Ye
Lu Ming
De-Chuan Zhan
Wei-Lun Chao
99
53
0
01 Jul 2021
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
104
76
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
230
46
0
31 May 2021
Complementary Structure-Learning Neural Networks for Relational
  Reasoning
Complementary Structure-Learning Neural Networks for Relational Reasoning
Jacob Russin
Maryam Zolfaghar
Seongmin A. Park
E. Boorman
R. C. O'Reilly
NAI
30
8
0
19 May 2021
Searchable Hidden Intermediates for End-to-End Models of Decomposable
  Sequence Tasks
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
Siddharth Dalmia
Brian Yan
Vikas Raunak
Florian Metze
Shinji Watanabe
89
31
0
02 May 2021
Few-shot Learning for Topic Modeling
Few-shot Learning for Topic Modeling
Tomoharu Iwata
BDL
151
7
0
19 Apr 2021
Unlocking Compositional Generalization in Pre-trained Models Using
  Intermediate Representations
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
Jonathan Herzig
Peter Shaw
Ming-Wei Chang
Kelvin Guu
Panupong Pasupat
Yuan Zhang
AI4CE
76
69
0
15 Apr 2021
Paired Examples as Indirect Supervision in Latent Decision Models
Paired Examples as Indirect Supervision in Latent Decision Models
Nitish Gupta
Sameer Singh
Matt Gardner
Dan Roth
84
7
0
05 Apr 2021
Relational Weight Priors in Neural Networks for Abstract Pattern
  Learning and Language Modelling
Relational Weight Priors in Neural Networks for Abstract Pattern Learning and Language Modelling
R. Kopparti
Tillman Weyde
53
0
0
10 Mar 2021
A Minimalist Dataset for Systematic Generalization of Perception,
  Syntax, and Semantics
A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Qing Li
Siyuan Huang
Yining Hong
Yixin Zhu
Ying Nian Wu
Song-Chun Zhu
AIMat
64
6
0
02 Mar 2021
Meta-learning One-class Classifiers with Eigenvalue Solvers for
  Supervised Anomaly Detection
Meta-learning One-class Classifiers with Eigenvalue Solvers for Supervised Anomaly Detection
Tomoharu Iwata
Atsutoshi Kumagai
46
2
0
01 Mar 2021
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor
Andrew C. Li
Rodrigo Toro Icarte
Sheila A. McIlraith
OffRLAI4CE
127
77
0
13 Feb 2021
Concepts, Properties and an Approach for Compositional Generalization
Concepts, Properties and an Approach for Compositional Generalization
Yuanpeng Li
OCLCoGe
26
0
0
08 Feb 2021
A Primer for Neural Arithmetic Logic Modules
A Primer for Neural Arithmetic Logic Modules
Bhumika Mistry
K. Farrahi
Jonathon S. Hare
40
8
0
23 Jan 2021
On (Emergent) Systematic Generalisation and Compositionality in Visual
  Referential Games with Straight-Through Gumbel-Softmax Estimator
On (Emergent) Systematic Generalisation and Compositionality in Visual Referential Games with Straight-Through Gumbel-Softmax Estimator
Kevin Denamganai
James Alfred Walker
123
11
0
19 Dec 2020
Few-shot Sequence Learning with Transformers
Few-shot Sequence Learning with Transformers
Lajanugen Logeswaran
Ann Lee
Myle Ott
Honglak Lee
MarcÁurelio Ranzato
Arthur Szlam
ViT
64
12
0
17 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
239
27
0
08 Dec 2020
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora
Robert Frank
Jackson Petty
23
2
0
02 Nov 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
87
187
0
24 Oct 2020
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