April 23, 2018
In a week, Vector faculty and researchers will head to International Conference on Learning Representations (ICLR) to showcase their latest research. Here is the full list of their papers and workshops featured at this year’s conference.
Kronecker-factored Curvature Approximations for Recurrent Neural Networks
By James Martens, Jimmy Ba, Matt Johnson
POSTER: Mon Apr 30th 11:00 AM — 01:00 PM @ East Meeting level; 1,2,3.
Quantitatively Evaluating GANs With Divergences Proposed for Training
By Daniel Jiwoong Im, Alllan He Ma, Graham W. Taylor, Kristin Branson
POSTER: Mon Apr 30th 04:30 — 06:30 PM @ East Meeting level; 1,2,3.
Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
By Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse
POSTER: Mon Apr 30th 04:30 — 06:30 PM @ East Meeting level; 1,2,3.
Attacking Binarized Neural Networks
By Angus Galloway, Graham W. Taylor, Medhat Moussa
POSTER: Mon Apr 30th 04:30 — 06:30 PM @ East Meeting level; 1,2,3.
Meta-Learning for Semi-Supervised Few-Shot Classification
By Mengye Ren, Sachin Ravi, Eleni Triantafillou, Jake Snell, Kevin Swersky, Josh B. Tenenbaum, Hugo Larochelle, Richard S. Zemel
POSTER: Tue May 1st 04:30 — 06:30 PM @ East Meeting level; 1,2,3.
Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
By Will Grathwohl, Dami Choi, Yuhuai Wu, Geoff Roeder, David Duvenaud
POSTER: Thu May 3rd 11:00 AM — 01:00 PM @ East Meeting level; 1,2,3.
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
By Yuhuai Wu, Mengye Ren, Renjie Liao, Roger Grosse
POSTER: Thu May 3rd 11:00 AM — 01:00 PM @ East Meeting level; 1,2,3.
NerveNet: Learning Structured Policy with Graph Neural Networks
By Tingwu Wang, Renjie Liao, Jimmy Ba, Sanja Fidler
POSTER: Thu May 3rd 04:30 — 06:30 PM @ East Meeting level; 1,2,3.
WORKSHOP PAPERS:
Predict Responsibly: Increasing Fairness by Learning to Defer
By David Madras, Toniann Pitassi, Richard Zemel
WORKSHOP: Mon Apr 30th 04:30 — 06:30 PM @ East Meeting Level 8 + 15.
Isolating Sources of Disentanglement in Variational Autoencoders
By Tian Qi Chen, Xuechen Li, Roger Grosse, David Duvenaud
WORKSHOP: Wed May 2nd 11:00 AM — 01:00 PM @ East Meeting Level 8 + 15.
Graph Partition Neural Networks for Semi-Supervised Classification
By Renjie Liao, Marc Brockschmidt, Daniel Tarlow, Alexander Gaunt, Raquel Urtasun, Richard S. Zemel
WORKSHOP: Wed May 2nd 04:30 — 06:30 PM @ East Meeting Level 8 + 15.
Gradient-based Optimization of Neural Network Architecture
By Will Grathwohl, Elliot Creager, Seyed Ghasemipour, Richard Zemel
WORKSHOP: Thu May 3rd 11:00 AM — 01:00 PM @ East Meeting Level 8 + 15
Reconstructing evolutionary trajectories of mutations in cancer
By Yulia Rubanova, Ruian Shi, Roujia Li, Jeff Wintersinger, Amit Deshwar, Nil Sahin, Quaid Morris
WORKSHOP: Thu May 3rd 11:00 AM — 01:00 PM @ East Meeting Level 8 + 15.
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
WORKSHOP: Thu May 3rd 04:30 — 06:30 PM @ East Meeting Level 8 + 15
Leveraging Constraint Logic Programming for Neural Guided Program Synthesis
By Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William Byrd, Raquel Urtasun, Richard Zemel
WORKSHOP: Thu May 3rd 04:30 — 06:30 PM @ East Meeting Level 8 + 15
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