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Commits on Nov 27, 2019
Improve the docstring of `nsl.estimator.add_adversarial_regularization`.
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Commits on Nov 25, 2019
Remove project metadata files from docs/ directory.
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Commits on Nov 23, 2019
Reduce logging frequency for warnings of non-perturbable features.
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Commits on Nov 21, 2019
Minor documentation edits to Estimator and Keras APIs for graph regularization.
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Commits on Nov 19, 2019
Replaced references to tf.contrib with equivalents. No guarantee of identical behavior.
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Commits on Nov 14, 2019
Add feature value constraints for adversarial neighbors.
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Commits on Nov 11, 2019
Use the correct spelling for 'perturbation'.
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Commits on Nov 8, 2019
Merge pull request #34 from otiliastr:gcn
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Fix broken graph-NSL example trainer for the Cora data set.
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Commits on Nov 5, 2019
Refactor adversarial_neighbor to be more readable.
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Merge branch 'master' into gcn
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Fixed documentation for adversarial loss on sparse inputs.
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Added documentation to GCN.
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Merged master into gcn.
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Commits on Nov 1, 2019
Merge pull request #32 from otiliastr:import-fixes
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Commits on Oct 31, 2019
Updated GAM readme.
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Added missing license header in one of the init files.
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Resolved merge conflict.
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Moved the 'research' directory out of the 'neural-structured-learning' directory.
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Restructured the gam module.
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Resolved merge conflict.
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Moved research folder to match upstream.
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Updated GAM readme.
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Updated GAM readme.
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Updated documentation for GAM.
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Created a Python package for GAM.
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Commits on Oct 30, 2019
Add the feedback form to the README.md in NSL Github.
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Commits on Oct 28, 2019
Moving 'Research' section post 'Contributing to NSL'.
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Update lib/utils_test.py to not use Session.
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Commits on Oct 26, 2019
Fixed adversarial sparse to compute adversarial loss only by perturbing unlabeled data.
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Commits on Oct 25, 2019
Support multiple tensors in maximize_within_unit_norm.
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Adding a Research section to main README and updating research READMEs.
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Commits on Oct 24, 2019
Added support for robustness experiments for GCN.
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Merge branch 'master' of github.com:otiliastr/neural-structured-learning into gcn
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Made all imports relative to gam folder.
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