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Thu Dec 06 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Hyperbolic Neural Networks
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Thu Dec 06 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Norm matters: efficient and accurate normalization schemes in deep networks
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Thu Dec 06 12:40 PM -- 12:45 PM (PST) @ Room 220 E
Constructing Fast Network through Deconstruction of Convolution
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Thu Dec 06 12:45 PM -- 12:50 PM (PST) @ Room 220 E
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Oral
Thu Dec 06 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Discovery of Latent 3D Keypoints via End-to-end Geometric Reasoning
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Video]
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Thu Dec 06 01:05 PM -- 01:10 PM (PST) @ Room 220 E
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
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Thu Dec 06 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Learning Loop Invariants for Program Verification
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Thu Dec 06 01:15 PM -- 01:20 PM (PST) @ Room 220 E
DeepProbLog: Neural Probabilistic Logic Programming
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Thu Dec 06 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Learning to Infer Graphics Programs from Hand-Drawn Images
Oral
Thu Dec 06 01:25 PM -- 01:40 PM (PST) @ Room 220 E
Learning to Reconstruct Shapes from Unseen Classes
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Video]
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Thu Dec 06 01:40 PM -- 01:45 PM (PST) @ Room 220 E
Improving Neural Program Synthesis with Inferred Execution Traces
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Thu Dec 06 01:45 PM -- 01:50 PM (PST) @ Room 220 E
ResNet with one-neuron hidden layers is a Universal Approximator
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Thu Dec 06 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation
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Thu Dec 06 01:55 PM -- 02:00 PM (PST) @ Room 220 E
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels