The ILP Lab @ UVa
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Software

Python Package

  1. Valda
    • A Python package of data valuation in machine learning.
  2. RSTParser
    • A shift-reduce based RST discourse parser.

Code from Research Projects

  1. HEDGE
    • for Generating Hierarchical Explanations on Text Classification via Feature Interaction Detection
  2. VMASK
    • for Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
  3. GMASK
    • for Explaining Neural Network Predictions on Sentence Pairs via Learning Word-Group Masks
  4. FLAT
    • for Adversarial Training for Improving Model Robustness? Look at Both Prediction and Interpretation
  5. SideControl
    • for SideControl: Controlled Open-domain Dialogue Generation via Additive Side Networks
  6. GP VAE
    • for Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors
  7. RL for Paraphrase Generation
    • for An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation

2021 UVa ILP Group.
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External Links:
- ILP Lab Github
Contact:
Rice Hall, University of Virginia
85 Engineer's Way
Charlottesville, VA 22903