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Disentangled Sequence to Sequence Learning for Compositional
  Generalization
v1v2 (latest)

Disentangled Sequence to Sequence Learning for Compositional Generalization

9 October 2021
Hao Zheng
Mirella Lapata
    CoGeDRL
ArXiv (abs)PDFHTML

Papers citing "Disentangled Sequence to Sequence Learning for Compositional Generalization"

33 / 33 papers shown
Title
Meta-Learning to Compositionally Generalize
Meta-Learning to Compositionally Generalize
Henry Conklin
Bailin Wang
Kenny Smith
Ivan Titov
OOD
102
76
0
08 Jun 2021
Lexicon Learning for Few-Shot Neural Sequence Modeling
Lexicon Learning for Few-Shot Neural Sequence Modeling
Ekin Akyürek
Jacob Andreas
79
33
0
07 Jun 2021
On Compositional Generalization of Neural Machine Translation
On Compositional Generalization of Neural Machine Translation
Yafu Li
Yongjing Yin
Yulong Chen
Yue Zhang
207
46
0
31 May 2021
Compositional Generalization via Semantic Tagging
Compositional Generalization via Semantic Tagging
Hao Zheng
Mirella Lapata
71
35
0
22 Oct 2020
Hierarchical Poset Decoding for Compositional Generalization in Language
Hierarchical Poset Decoding for Compositional Generalization in Language
Yinuo Guo
Zeqi Lin
Jian-Guang Lou
Dongmei Zhang
AI4CE
115
31
0
15 Oct 2020
Improving Compositional Generalization in Semantic Parsing
Improving Compositional Generalization in Semantic Parsing
I. Oren
Jonathan Herzig
Nitish Gupta
Matt Gardner
Jonathan Berant
73
63
0
12 Oct 2020
COGS: A Compositional Generalization Challenge Based on Semantic
  Interpretation
COGS: A Compositional Generalization Challenge Based on Semantic Interpretation
Najoung Kim
Tal Linzen
CoGe
48
281
0
12 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
72
81
0
08 Oct 2020
Improve Transformer Models with Better Relative Position Embeddings
Improve Transformer Models with Better Relative Position Embeddings
Zhiheng Huang
Davis Liang
Peng Xu
Bing Xiang
ViT
62
132
0
28 Sep 2020
Span-based Semantic Parsing for Compositional Generalization
Span-based Semantic Parsing for Compositional Generalization
Jonathan Herzig
Jonathan Berant
ReLMLRM
61
102
0
13 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
82
114
0
17 Jul 2020
The Pitfalls of Simplicity Bias in Neural Networks
The Pitfalls of Simplicity Bias in Neural Networks
Harshay Shah
Kaustav Tamuly
Aditi Raghunathan
Prateek Jain
Praneeth Netrapalli
AAML
69
361
0
13 Jun 2020
Improving Disentangled Text Representation Learning with
  Information-Theoretic Guidance
Improving Disentangled Text Representation Learning with Information-Theoretic Guidance
Pengyu Cheng
Martin Renqiang Min
Dinghan Shen
Christopher Malon
Yizhe Zhang
Yitong Li
Lawrence Carin
DRL
66
89
0
01 Jun 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
510
10,591
0
17 Feb 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
Tianlin Li
Marc van Zee
Olivier Bousquet
CoGe
68
354
0
20 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
479
20,317
0
23 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
677
24,541
0
26 Jul 2019
Invariant Risk Minimization
Invariant Risk Minimization
Martín Arjovsky
Léon Bottou
Ishaan Gulrajani
David Lopez-Paz
OOD
195
2,242
0
05 Jul 2019
Good-Enough Compositional Data Augmentation
Good-Enough Compositional Data Augmentation
Jacob Andreas
71
234
0
21 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
116
3,156
0
01 Apr 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
134
1,471
0
29 Nov 2018
Disentangled Representation Learning for Non-Parallel Text Style
  Transfer
Disentangled Representation Learning for Non-Parallel Text Style Transfer
V. John
Lili Mou
Hareesh Bahuleyan
Olga Vechtomova
DRL
75
302
0
13 Aug 2018
Improving Text-to-SQL Evaluation Methodology
Improving Text-to-SQL Evaluation Methodology
Catherine Finegan-Dollak
Jonathan K. Kummerfeld
Li Zhang
Karthik Ramanathan
Sesh Sadasivam
Rui Zhang
Dragomir R. Radev
83
279
0
23 Jun 2018
Towards Robust Neural Machine Translation
Towards Robust Neural Machine Translation
Yong Cheng
Zhaopeng Tu
Fandong Meng
Junjie Zhai
Yang Liu
AAML
52
161
0
16 May 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
155
1,180
0
06 Mar 2018
Self-Attention with Relative Position Representations
Self-Attention with Relative Position Representations
Peter Shaw
Jakob Uszkoreit
Ashish Vaswani
179
2,296
0
06 Mar 2018
Disentangling by Factorising
Disentangling by Factorising
Hyunjik Kim
A. Mnih
CoGeOOD
64
1,356
0
16 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Data Recombination for Neural Semantic Parsing
Data Recombination for Neural Semantic Parsing
Robin Jia
Percy Liang
91
466
0
11 Jun 2016
A Corpus and Evaluation Framework for Deeper Understanding of
  Commonsense Stories
A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories
N. Mostafazadeh
Nathanael Chambers
Xiaodong He
Devi Parikh
Dhruv Batra
Lucy Vanderwende
Pushmeet Kohli
James F. Allen
139
712
0
06 Apr 2016
Language to Logical Form with Neural Attention
Language to Logical Form with Neural Attention
Li Dong
Mirella Lapata
AI4CENAI
109
730
0
06 Jan 2016
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
446
20,590
0
10 Sep 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
278
12,458
0
24 Jun 2012
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