Poster

Tue 2:30

Amortized Implicit Differentiation for Stochastic Bilevel Optimization
Michael Arbel · Julien Mairal

Workshop

Fri 8:10

Object Representations as Fixed Points: Training Iterative Inference Algorithms with Implicit Differentiation
Michael Chang · Thomas L. Griffiths · Sergey Levine

Workshop

Object Representations as Fixed Points: Training Iterative Inference Algorithms with Implicit Differentiation
Michael Chang · Thomas L. Griffiths · Sergey Levine

Workshop

Object Representations as Equilibria: Training Iterative Inference Algorithms with Implicit Differentiation
Michael Chang · Thomas L. Griffiths · Sergey Levine

Workshop

Object Representations as Fixed Points: Training Iterative Inference Algorithms with Implicit Differentiation
Michael Chang · Thomas L. Griffiths · Sergey Levine

Poster

Mon 10:30

Multiset-Equivariant Set Prediction with Approximate Implicit Differentiation
Yan Zhang · David Zhang · Simon Lacoste-Julien · Gertjan J Burghouts · Cees G Snoek

Poster

Thu 2:30

FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes
David W. Romero · Robert-Jan Bruintjes · Jakub Tomczak · Erik Bekkers · Mark Hoogendoorn · Jan Gemert

Poster

Mon 18:30

Differentiable Gradient Sampling for Learning Implicit 3D Scene Reconstructions from a Single Image
Shizhan Zhu · Sayna Ebrahimi · Angjoo Kanazawa · trevor darrell

Poster

Thu 2:30

Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross Clarke · Elre Oldewage · José Miguel Hernández Lobato

Spotlight

Thu 2:30

Scalable One-Pass Optimisation of High-Dimensional Weight-Update Hyperparameters by Implicit Differentiation
Ross Clarke · Elre Oldewage · José Miguel Hernández Lobato