1. Why adaptively collected data has negative bias and how to correct for it.
by Xinkun Nie, Xiaoying Tian, Jonathan Taylor, and James Zou
FIRST PRIZE
2. A Brief Study of In-Domain Transfer and Learning from Fewer Samples using A Few Simple Priors.
by Marc Pickett, Ayush Sekhari, and James Davidson
SECOND PRIZE
3. Active Learning from Peers.
by Keerthiram Murugesan and Jaime Carbonell
THIRD PRIZE
4. Active Multi-Label Learning with Varying Query Sets.
by Mandana Hamidi-Haines, Robby Goetschalckx, Prasad Tadepalli, and Alan Fern
5. Data Driven Feature Learning.
by Saket Maheshwary, Ambika Kaul, and Vikram Pudi
6. Active Learning in Expert Systems Experiments on StackExchange Data.
by Nidhi Hegde, David Pardo, and Laurent Viennot