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Dec. 8, 2019 Expo schedule » New in ML »

Timezone: America/Vancouver »

Indicates the beginning of a session

 Thu Dec 12, 2019

Time East Exhibition Hall B + C
10:45 AM (Posters)
Large Scale Adversarial Representation Learning East Exhibition Hall B + C #62
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks East Exhibition Hall B + C #63
Learning elementary structures for 3D shape generation and matching East Exhibition Hall B + C #64
Learning from brains how to regularize machines East Exhibition Hall B + C #65
Rethinking Kernel Methods for Node Representation Learning on Graphs East Exhibition Hall B + C #66
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices East Exhibition Hall B + C #67
Deep Supervised Summarization: Algorithm and Application to Learning Instructions East Exhibition Hall B + C #68
Unsupervised Emergence of Egocentric Spatial Structure from Sensorimotor Prediction East Exhibition Hall B + C #69
Unsupervised State Representation Learning in Atari East Exhibition Hall B + C #70
What the Vec? Towards Probabilistically Grounded Embeddings East Exhibition Hall B + C #71
05:00 PM (Posters)
Are Disentangled Representations Helpful for Abstract Visual Reasoning? East Exhibition Hall B + C #28
CPM-Nets: Cross Partial Multi-View Networks East Exhibition Hall B + C #29
Cross-lingual Language Model Pretraining East Exhibition Hall B + C #30
Graph Transformer Networks East Exhibition Hall B + C #31
Learning Representations by Maximizing Mutual Information Across Views East Exhibition Hall B + C #32
Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models East Exhibition Hall B + C #33
On the Fairness of Disentangled Representations East Exhibition Hall B + C #34
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset East Exhibition Hall B + C #35
Stacked Capsule Autoencoders East Exhibition Hall B + C #36
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology East Exhibition Hall B + C #37
Wasserstein Dependency Measure for Representation Learning East Exhibition Hall B + C #38