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Poster
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Thu 9:00
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Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
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Poster
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Thu 1:00
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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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Thu 9:00
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Implicit Gradient Regularization
David Barrett · Benoit Dherin
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Poster
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Mon 17:00
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Variational Intrinsic Control Revisited
Taehwan Kwon
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Poster
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Tue 9:00
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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
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Ringing ReLUs: Harmonic Distortion Analysis of Nonlinear Feedforward Networks
Christian Ali Mehmeti-Göpel · David Hartmann · Michael Wand
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Poster
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Wed 17:00
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Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez · Lillian J Ratliff
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Poster
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Tue 9:00
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Uncertainty Estimation in Autoregressive Structured Prediction
Andrey Malinin · Mark Gales
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Poster
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Mon 9:00
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Universal approximation power of deep residual neural networks via nonlinear control theory
Paulo Tabuada · Bahman Gharesifard
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Poster
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Wed 17:00
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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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Tue 9:00
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Oral
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Wed 11:00
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Human-Level Performance in No-Press Diplomacy via Equilibrium Search
Jonathan Gray · Adam Lerer · Anton Bakhtin · Noam Brown
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