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Poster
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Tue 9:00 |
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers Kenji Kawaguchi |
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Poster
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Tue 1:00 |
Large-width functional asymptotics for deep Gaussian neural networks Daniele Bracale · Stefano Favaro · Sandra Fortini · Stefano Peluchetti |
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Poster
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Tue 9:00 |
Provable Rich Observation Reinforcement Learning with Combinatorial Latent States Dipendra Misra · Qinghua Liu · Chi Jin · John Langford |
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Poster
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Wed 17:00 |
Estimating informativeness of samples with Smooth Unique Information Hrayr Harutyunyan · Alessandro Achille · Giovanni Paolini · Orchid Majumder · Avinash Ravichandran · Rahul Bhotika · Stefano Soatto |
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Poster
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Thu 9:00 |
Heating up decision boundaries: isocapacitory saturation, adversarial scenarios and generalization bounds Bogdan Georgiev · Lukas Franken · Mayukh Mukherjee |
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Poster
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Wed 17:00 |
In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness Sang Michael Xie · Ananya Kumar · Robbie Jones · Fereshte Khani · Tengyu Ma · Percy Liang |
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Poster
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Mon 9:00 |
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci |
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Poster
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Tue 9:00 |
Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk · Timothy Hospedales · massimiliano pontil |
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Poster
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Tue 9:00 |
Uncertainty Estimation in Autoregressive Structured Prediction Andrey Malinin · Mark Gales |
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Poster
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Thu 1:00 |
Go with the flow: Adaptive control for Neural ODEs Mathieu Chalvidal · Matthew Ricci · Rufin VanRullen · Thomas Serre |
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Poster
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Tue 17:00 |
Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar |
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Workshop
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Fri 3:30 |
Neural Compression: From Information Theory to Applications Stephan Mandt · Robert Bamler · Yingzhen Li · Christopher Schroers · Yang Yang · Max Welling · Taco Cohen |