(14 events) Timezone: America/Chicago
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Thu Dec 06 02:30 PM -- 02:35 PM (CST) @ Room 220 E
Hyperbolic Neural Networks
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Thu Dec 06 02:35 PM -- 02:40 PM (CST) @ Room 220 E
Norm matters: efficient and accurate normalization schemes in deep networks
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Thu Dec 06 02:40 PM -- 02:45 PM (CST) @ Room 220 E
Constructing Fast Network through Deconstruction of Convolution
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Thu Dec 06 02:45 PM -- 02:50 PM (CST) @ Room 220 E
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Oral
Thu Dec 06 02:50 PM -- 03:05 PM (CST) @ 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 03:05 PM -- 03:10 PM (CST) @ Room 220 E
Learning Libraries of Subroutines for Neurally–Guided Bayesian Program Induction
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Thu Dec 06 03:10 PM -- 03:15 PM (CST) @ Room 220 E
Learning Loop Invariants for Program Verification
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Thu Dec 06 03:15 PM -- 03:20 PM (CST) @ Room 220 E
DeepProbLog: Neural Probabilistic Logic Programming
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Thu Dec 06 03:20 PM -- 03:25 PM (CST) @ Room 220 E
Learning to Infer Graphics Programs from Hand-Drawn Images
Oral
Thu Dec 06 03:25 PM -- 03:40 PM (CST) @ Room 220 E
Learning to Reconstruct Shapes from Unseen Classes
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Video]
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Thu Dec 06 03:40 PM -- 03:45 PM (CST) @ Room 220 E
Improving Neural Program Synthesis with Inferred Execution Traces
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Thu Dec 06 03:45 PM -- 03:50 PM (CST) @ Room 220 E
ResNet with one-neuron hidden layers is a Universal Approximator
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Thu Dec 06 03:50 PM -- 03:55 PM (CST) @ 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 03:55 PM -- 04:00 PM (CST) @ Room 220 E
Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels
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