ICLR_data.org

Fellows

Yoshua Bengio

• Boundary Seeking GANs
• Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
• Deep Complex Networks
• Fraternal Dropout
• Residual Connections Encourage Iterative Inference
• Twin Networks: Matching the Future for Sequence Generation
• Graph Attention Networks
• Extending the Framework of Equilibrium Propagation to General Dynamics
• FigureQA: An Annotated Figure Dataset for Visual Reasoning

Aaron Courville

• Neural Language Modeling by Jointly Learning Syntax and Lexicon

Simon Lacoste-Julien

• SEARNN: Training RNNs with global-local losses
• Parametric Adversarial Divergences are Good Task Losses for Generative Modeling

Ioannis Mitliagkas

• Learning Representations and Generative Models for 3D Point Clouds

Christopher J. Pal

• Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
• Deep Complex Networks
• Twin Networks: Matching the Future for Sequence Generation

David Duvenaud

• Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
• Inference Suboptimality in Variational Autoencoders

Michiel van de Panne

• Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control

Mark Schmidt

• Online Learning Rate Adaptation with Hypergradient Descent

Research Scientists

Negar Rostamzadeh

• Deep Complex Networks