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Tensorflow implementation of Invariant Rationalization

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Bumps [tensorflow-gpu](https://github.com/tensorflow/tensorflow) from 1.14.0 to 2.9.3. Release notes Sourced from tensorflow-gpu's releases. TensorFlow 2.9.3 Release 2.9.3 This release introduces several vulnerability fixes: Fixes an overflow in tf.keras.losses.poisson (CVE-2022-41887) Fixes a...

dependencies

Bumps [protobuf](https://github.com/protocolbuffers/protobuf) from 3.12.2 to 3.18.3. Release notes Sourced from protobuf's releases. Protocol Buffers v3.18.3 C++ Reduce memory consumption of MessageSet parsing This release addresses a Security Advisory for C++...

dependencies

Bumps [numpy](https://github.com/numpy/numpy) from 1.19.0 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...

dependencies

Hi I am trying to run the codes with the specified versions. got this error. thanks for your help WARNING:tensorflow: The TensorFlow contrib module will not be included in TensorFlow...

The link of the IMDB dataset (in download_data.sh) (http://people.csail.mit.edu/chang87/files/imdb.zip) cannot be accessed (403 Forbidden) if whom did not a member of MIT. So May I ask you how to get...

Hi could you explain what is the goal of "_contrastive_straight_through_sampling"? I could not find this in the paper. thanks.

In our ICML paper, we relied on two datasets to demonstrate the effectiveness of our method: an IMDB dataset, and a collection of reviews from the BeerAdvocate website. Both datasets...

Please assist in reproducing your results, this is not ethical to argue we share the codes before publication and avoid any help afterwards. Also rewrite your README, write we do...

Hi, thanks for sharing the codes. The main results of this paper are beer review results which is not shared, could you please assist me with sharing codes and data...

Hi, if I want to apply your method to a new dataset, how should I prepare the environments? Are there any general tricks?