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A Multi-Grained Self-Interpretable Symbolic-Neural Model For
  Single/Multi-Labeled Text Classification

A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification

International Conference on Learning Representations (ICLR), 2023
6 March 2023
Xiang Hu
Xinyu Kong
Kewei Tu
    MILMBDL
ArXiv (abs)PDFHTML

Papers citing "A Multi-Grained Self-Interpretable Symbolic-Neural Model For Single/Multi-Labeled Text Classification"

3 / 3 papers shown
Unsupervised Morphological Tree Tokenizer
Unsupervised Morphological Tree Tokenizer
Qingyang Zhu
Xiang Hu
Pengyu Ji
Wei Wu
Kewei Tu
294
0
0
21 Jun 2024
Perturbation-based Self-supervised Attention for Attention Bias in Text
  Classification
Perturbation-based Self-supervised Attention for Attention Bias in Text ClassificationIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2023
Hu Feng
Zhenxi Lin
Qianli Ma
178
4
0
25 May 2023
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,701
0
16 Feb 2016
1