Accepted Papers

  • Accelerate Multivariate Time Series Labeling Using a Point Based Active Learning Solution, Ary Fagundes Bressane Neto, Patrice O'Carrol, David Blachon, Bartek Borowinski (PDF)
  • Automated Discovery and Classification of Training Videos for Career Progression, Alan Chern, Phuong Hoang, Madhav Sigdel, Janani Balaji, Mohammed Korayem (PDF)
  • Conditioning Neural Networks on Prediction-time Additional Evidence, Caner Komurlu, Ruo Yang, Mustafa Bilgic (PDF)
  • Contextual Data Quality Assessment and Recommending Data Sets, Nebula Alam, Kalapriya Kannan, Rema Ananthanarayanan, Khoi-Nguyen Tran, Simon Harris, Sameep Mehta (PDF)
  • Curating for Next-Generation Social Science, Erica Briscoe, Alexandra Trani, Scott Appling (PDF)
  • Deep Expectation-Maximization for Semi-Supervised Lung Cancer Screening, Sumeet Menon, David Chapman, Phuong Nguyen, Yelena Yesha, Michael Morris, Babak Saboury (PDF)
  • Framework for Analyzing and Improving Quality of Available Data for Enterprise Automation Tasks, Mohammad Shakir, Gargi Roy, Aninda Sukla, Tirthankar Dasgupta, Geetika Sharma, Lipika Dey (PDF)
  • Improving Consequential Decisions under Imperfect Predictions, Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera (PDF)
  • Improving ML Training Data with Gold-Standard Quality Metrics, Leslie Barrett, Michael W. Sherman (PDF)
  • Interactive Programmatic Labeling for Weak Supervision, Benjamin Cohen-Wang, Stephen Mussmann, Alex Ratner, Chris Ré (PDF)
  • Multi-modal Correlated Tag Propagation For Boosting Image Search Relevance, Ajinkya Kale, Baldo Faieta, Zhe Lin, Trung Bui, Tracy King (PDF)
  • Optimizing the Design and Cost for Crowdsourced Conversational Utterances, Phoebe Liu, Joan Xiao, Tong Liu, Dylan F. Glas (PDF)
  • Optimizing Training Data for Image Classifiers, Matthew Hagen, Ala Eddine Ayadi, Jiaqi Wang, Nikolaos Vasiloglou, Estelle Afshar (PDF)
  • Principled Methods to Improve Peer Review, Nihar B. Shah (PDF)
  • Quality Control Challenges in Crowdsourcing Medical Labeling, Miles Hutson, Olga Kanzheleva, Caitlin Taggart, Bilson J. L. Campana, Quang Duong (PDF)
  • Task-Driven Data Verification via Gradient Descent, Siavash Golkar, Kyunghyun Cho (PDF)
  • Towards Joint Segmentation and Active Learning for Block-Structured Data Streams, Conrad Holtsclaw, Meet P. Vadera, Benjamin M. Marlin (PDF)
  • Utilization of Instance Hardness in Multiple Annotations Active Learning, Yan Yu, Rob Weddell, Jabob Furst, Daniela Raicu (PDF)