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The Devil is in the Detail: Simple Tricks Improve Systematic
  Generalization of Transformers
v1v2v3v4 (latest)

The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
26 August 2021
Róbert Csordás
Kazuki Irie
Jürgen Schmidhuber
    ViT
ArXiv (abs)PDFHTML

Papers citing "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers"

4 / 104 papers shown
Choose a Transformer: Fourier or Galerkin
Choose a Transformer: Fourier or GalerkinNeural Information Processing Systems (NeurIPS), 2021
Shuhao Cao
437
344
0
31 May 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
265
6
0
02 Mar 2021
Enhancing the Transformer Decoder with Transition-based Syntax
Enhancing the Transformer Decoder with Transition-based SyntaxConference on Computational Natural Language Learning (CoNLL), 2021
Leshem Choshen
Omri Abend
378
1
0
29 Jan 2021
Revisit Systematic Generalization via Meaningful Learning
Revisit Systematic Generalization via Meaningful LearningBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020
Ning Shi
Wei Ping
Wei Wang
Xiangyu Liu
Zhouhan Lin
490
2
0
14 Mar 2020
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