Room C4.8, Level 4, ICC Sydney

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  • Use a web browser and go to
  • Enter event code #hitl2017


  • 08.45-09.00 : Opening remarks
  • 09.00-09.45 : Invited Speaker: Been Kim,
    • Interactive and Interpretable Machine Learning Models for Human Machine Collaboration
    • Google Brain
  • 09.45-10.45 : Contributed talks
    • Xinkun Nie, Xiaoying Tian, Jonathan Taylor, James Zou, Why adaptively collected data have negative bias and how to correct for it
    • Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, Adam Kalai, Man is to Computer Programmer as Woman is to Homemaker? Debiasing Word Embeddings
  • 10.45-11.00 : Coffee break + poster setup
  • 11.00-12.30 : Poster and demo session


  • 14.00-14.45 : Invited Speaker: Dragos Margineantu,
    • Expert-in-the-loop scalable inverse reinforcement learning for intent recognition
    • Boeing Research and Technology
  • 14.45-15.15 : Coffee break
  • 15.15-16.15 : Contributed talks
    • Pedram Daee, Tomi Peltola, Marta Soare, Samuel Kaski, Probabilistic Expert Knowledge Elicitation of Feature Relevances in Sparse Linear Regression
    • Ilias Flaounas, Beyond the technical challenges for deploying Machine Learning solutions in a software company
  • 16.15-16:45 : Discussion and closing remarks
    • where to stand in the loop and how to manage it
    • design, interface, sanity checking and privacy at large.


  • Antti Kangasrääsiö and Samuel Kaski. Modelling Human Decision-making based on Aggregate Observation Data
  • Aneesha Bakharia. Design Guidelines for Interactive Topic Modeling
  • Bo Han, Yuangang Pan and Ivor Tsang. Guess with Hints: Hint-guided Mechanism for Crowdsourcing
  • Syed Z. Arshad, Jianlong Zhou, Shlomo Berkovsky and Fang Chen. Human-In-The-Loop Machine Learning with Intelligent Multimodal Interfaces
  • Meg Pirrung, Nathan Hilliard, Artëm Yankov, Paul Weidert, Nancy O’Brien, Courtney Corley and Nathan Hodas. Sharkzor: Interactive Deep Learning for Image Triage, Sort and Summary
  • Kevin Tee, Michael McCourt, Ruben Martinez-Cantin, Ian Dewancker and Frank Liu. Active Preference Learning for Personalized Portfolio Construction
  • Christian A Hammerschmidt, Radu State and Sicco Verwer. Human in the Loop: Interactive Passive Automata Learning via EDSM State-Merging