Predict Responsibly: Increasing Fairness by Learning to Defer
By David Madras, Toniann Pitassi, Richard Zemel
Isolating Sources of Disentanglement in Variational Autoencoders
By Tian Qi Chen, Xuechen Li, Roger Grosse, David Duvenaud
Graph Partition Neural Networks for Semi-Supervised Classification
By Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel
Gradient-based Optimization of Neural Network Architecture
By Will Grathwohl, Elliot Creager, Seyed Ghasemipour, Richard Zemel
Reconstructing evolutionary trajectories of mutations in cancer
By Yulia Rubanova, Ruian Shi, Roujia Li, Jeff Wintersinger, Amit Deshwar, Nil Sahin, Quaid Morris
Inference in probabilistic graphical models by Graph Neural Networks
By KiJung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, Raquel Urtasun, Richard Zemel, Xaq Pitkow
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
By Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William Byrd, Raquel Urtasun, Richard Zemel