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559 Results
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Poster
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Thu 10:45 |
Deep Scale-spaces: Equivariance Over Scale Daniel Worrall · Max Welling |
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Poster
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Thu 10:45 |
Learning Representations for Time Series Clustering Qianli Ma · Jiawei Zheng · Sen Li · Gary Cottrell |
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Workshop
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Sat 9:00 |
Towards physics-informed deep learning for turbulent flow prediction Rose Yu |
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Poster
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Tue 10:45 |
Learning from Bad Data via Generation Tianyu Guo · Chang Xu · Boxin Shi · Chao Xu · Dacheng Tao |
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Workshop
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Sat 9:00 |
Invited Talk: Deep learning without weight transport Timothy Lillicrap |
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Poster
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Thu 17:00 |
Are deep ResNets provably better than linear predictors? Chulhee Yun · Suvrit Sra · Ali Jadbabaie |
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Poster
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Wed 10:45 |
Compositional Plan Vectors Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine |
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Tutorial
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Mon 8:30 |
Deep Learning with Bayesian Principles Mohammad Emtiyaz Khan |
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Poster
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Thu 10:45 |
MarginGAN: Adversarial Training in Semi-Supervised Learning Jinhao Dong · Tong Lin |
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Poster
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Thu 10:45 |
Backprop with Approximate Activations for Memory-efficient Network Training Ayan Chakrabarti · Benjamin Moseley |
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Poster
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Thu 17:00 |
Cormorant: Covariant Molecular Neural Networks Brandon Anderson · Truong Son Hy · Risi Kondor |
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Poster
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Thu 10:45 |
Using Statistics to Automate Stochastic Optimization Hunter Lang · Lin Xiao · Pengchuan Zhang |