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Dec. 2, 2018 Expo schedule » New in ML »

Timezone: America/Montreal »

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 Tue Dec 04, 2018

Time Room 220 E
03:30 PM (Spotlights)
Tue Track 2 -- Session 2
Evolved Policy Gradients
03:35 PM (Spotlights)
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer Learning
03:40 PM (Spotlights)
Bayesian Model-Agnostic Meta-Learning
03:45 PM (Spotlights)
Probabilistic Neural Programmed Networks for Scene Generation
03:50 PM (Orals)
Neural Ordinary Differential Equations
04:05 PM (Spotlights)
Bias and Generalization in Deep Generative Models: An Empirical Study
04:10 PM (Spotlights)
Robustness of conditional GANs to noisy labels
04:15 PM (Spotlights)
BourGAN: Generative Networks with Metric Embeddings
04:20 PM (Spotlights)
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
04:25 PM (Orals)
How Does Batch Normalization Help Optimization?
04:40 PM (Spotlights)
Training Neural Networks Using Features Replay
04:45 PM (Spotlights)
Step Size Matters in Deep Learning
04:50 PM (Spotlights)
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
04:55 PM (Spotlights)
Hierarchical Graph Representation Learning with Differentiable Pooling