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Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #62
Large Scale Adversarial Representation Learning
In Algorithms -- Representation Learning
Jeff Donahue · Karen Simonyan
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #63
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
In Algorithms -- Representation Learning
Difan Zou · Ziniu Hu · Yewen Wang · Song Jiang · Yizhou Sun · Quanquan Gu
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #64
Learning elementary structures for 3D shape generation and matching
In Algorithms -- Representation Learning
Theo Deprelle · Thibault Groueix · Matthew Fisher · Vladimir Kim · Bryan Russell · Mathieu Aubry
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #65
Learning from brains how to regularize machines
In Algorithms -- Representation Learning
Zhe Li · Wieland Brendel · Edgar Walker · Erick Cobos · Taliah Muhammad · Jacob Reimer · Matthias Bethge · Fabian Sinz · Xaq Pitkow · Andreas Tolias
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #66
Rethinking Kernel Methods for Node Representation Learning on Graphs
In Algorithms -- Representation Learning
Yu Tian · Long Zhao · Xi Peng · Dimitris Metaxas
[ Paper]  [ Poster] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #67
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
In Algorithms -- Representation Learning
Vincent Chen · Sen Wu · Alexander Ratner · Jen Weng · Christopher Ré
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #68
Deep Supervised Summarization: Algorithm and Application to Learning Instructions
In Algorithms -- Representation Learning
Chengguang Xu · Ehsan Elhamifar
[ Paper]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #69
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction
In Algorithms -- Representation Learning
Alban Laflaquière · Michael Garcia Ortiz
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #70
Unsupervised State Representation Learning in Atari
In Algorithms -- Representation Learning
Ankesh Anand · Evan Racah · Sherjil Ozair · Yoshua Bengio · Marc-Alexandre Côté · R Devon Hjelm
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #71
What the Vec? Towards Probabilistically Grounded Embeddings
In Algorithms -- Representation Learning
Carl Allen · Ivana Balazevic · Timothy Hospedales
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #28
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
In Algorithms -- Representation Learning
Sjoerd van Steenkiste · Francesco Locatello · Jürgen Schmidhuber · Olivier Bachem
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #29
CPM-Nets: Cross Partial Multi-View Networks
In Algorithms -- Representation Learning
Changqing Zhang · Zongbo Han · yajie cui · Huazhu Fu · Joey Tianyi Zhou · Qinghua Hu
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #30
Cross-lingual Language Model Pretraining
In Algorithms -- Representation Learning
Alexis CONNEAU · Guillaume Lample
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #31
Graph Transformer Networks
In Algorithms -- Representation Learning
Seongjun Yun · Minbyul Jeong · Raehyun Kim · Jaewoo Kang · Hyunwoo Kim
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #32
Learning Representations by Maximizing Mutual Information Across Views
In Algorithms -- Representation Learning
Philip Bachman · R Devon Hjelm · William Buchwalter
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #33
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models
In Algorithms -- Representation Learning
Tao Yu · Christopher De Sa
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #34
On the Fairness of Disentangled Representations
In Algorithms -- Representation Learning
Francesco Locatello · Gabriele Abbati · Thomas Rainforth · Stefan Bauer · Bernhard Schölkopf · Olivier Bachem
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #35
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
In Algorithms -- Representation Learning
Muhammad Waleed Gondal · Manuel Wuethrich · Djordje Miladinovic · Francesco Locatello · Martin Breidt · Valentin Volchkov · Joel Akpo · Olivier Bachem · Bernhard Schölkopf · Stefan Bauer
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #36
Stacked Capsule Autoencoders
In Algorithms -- Representation Learning
Adam Kosiorek · Sara Sabour · Yee Whye Teh · Geoffrey E Hinton
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #37
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
In Algorithms -- Representation Learning
Nima Dehmamy · Albert-Laszlo Barabasi · Rose Yu
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #38
Wasserstein Dependency Measure for Representation Learning
In Algorithms -- Representation Learning
Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet
[ Paper]  [ Slides]