2019 Summer Interns

Here is the proceedings document containing all the papers

  • Brendan Bena, Drury University, Springfield, MO: Injection of Creativity and Emotion-Elicitation in Poetry Generations
  • Tiffany Chien, University of California, Berkeley, CA: Adversarial Analysis of Natural Language Understanding Systems
  • Andrew Conley, Rensselaer Polytechnic Institute, Troy, NY: Enhancing Language Models with Knowledge Graph Embeddings
  • Joshua Frederick and Jonathan Ventura: PixelMRF: A Deep Markov Random Field for Image Generation
  • Kaden Griffith, University of Colorado, Colorado Springs, CO: Solving Arithmetic Word Problems Automatically Using Transformer and Unambiguous Representations
  • Justin Leo, University of Colorado, Colorado Springs, CO: Moving Towards Open Set Incremental Learning: Readily Discovering New Authorss
  • Sven Marnauzs, Boise State University, Boise, ID: A Domain Independent Social Media Depression Detection Model
  • Clare Minnerath, Providence College, Providence, RI: Self-Supervised Learning for Single-Molecule Localization Microscopy Denoising
  • Sonia Rao, University of Georgia, Athens, GA: Self-supervised Deep Learning for Fluorescence Microscopy Denoising
  • Jonathan Schwan, University of Colorado, Colorado Springs, CO: I-MOVE: Independent Moving Objects for Velocity Estimation