|
Spotlight
|
Mon 12:05
|
Generalization bounds via distillation
Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang
|
|
|
Poster
|
Thu 17:00
|
Generalization bounds via distillation
Daniel Hsu · Ziwei Ji · Matus Telgarsky · Lan Wang
|
|
|
Poster
|
Tue 17:00
|
Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
|
|
|
Spotlight
|
Wed 20:20
|
Understanding the role of importance weighting for deep learning
Da Xu · Yuting Ye · Chuanwei Ruan
|
|
|
Poster
|
Mon 17:00
|
Variational Intrinsic Control Revisited
Taehwan Kwon
|
|
|
Poster
|
Thu 9:00
|
Implicit Gradient Regularization
David Barrett · Benoit Dherin
|
|
|
Workshop
|
Fri 14:02
|
Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
|
|
|
Poster
|
Wed 1:00
|
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Rame · MATTHIEU CORD
|
|
|
Poster
|
Tue 9:00
|
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
|
|
|
Poster
|
Tue 9:00
|
Distance-Based Regularisation of Deep Networks for Fine-Tuning
Henry Gouk · Timothy Hospedales · massimiliano pontil
|
|
|
Spotlight
|
Mon 12:15
|
On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
|
|
|
Poster
|
Thu 9:00
|
A Critique of Self-Expressive Deep Subspace Clustering
Benjamin Haeffele · Chong You · Rene Vidal
|
|
