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View Code? Open in Web Editor NEWA pytorch implementation of FMRT (Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines) [SIGIR20]
A pytorch implementation of FMRT (Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines) [SIGIR20]
Great code, thanks !
Plese help to understand
1
will it work for third order categorical features interaction ?
2
will it run on Windows computer ?
3
will it work for sparse data ?
could you provide the data format?
Hi,
in line 10 of dataset.py file, it reshapes the feature to (1+neg_num, feature.shape[-1]).
What is neg_num? and why there is a need to reshape feature?
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