Schedule
Room C4.8, Level 4, ICC Sydney
We are using sli.do for questions
- Use a web browser and go to sli.do
- Enter event code #hitl2017
Schedule
- 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
LUNCH
- 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.
Posters
- 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