|
Poster
|
Tue 1:00
|
Auxiliary Learning by Implicit Differentiation
Aviv Navon · Idan Achituve · Haggai Maron · Gal Chechik · Ethan Fetaya
|
|
|
Workshop
|
Fri 7:10
|
Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
|
|
|
Poster
|
Tue 9:00
|
DC3: A learning method for optimization with hard constraints
Priya Donti · David Rolnick · Zico Kolter
|
|
|
Workshop
|
Fri 10:00
|
Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
|
|
|
Poster
|
Tue 1:00
|
Contemplating Real-World Object Classification
Ali Borji
|
|
|
Workshop
|
Fri 6:31
|
Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio
|
|
|
Workshop
|
Fri 6:56
|
QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
|
|
|
Poster
|
Mon 1:00
|
SALD: Sign Agnostic Learning with Derivatives
Matan Atzmon · Yaron Lipman
|
|
|
Workshop
|
|
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Henning Sprekeler · Robert Lange
|
|
|
Poster
|
Tue 9:00
|
Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
|
|
|
Workshop
|
Fri 14:02
|
Invited Talk: A deep learning theory for neural networks grounded in physics
Benjamin Scellier
|
|
|
Poster
|
Mon 17:00
|
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components
Junwen Bai · Weiran Wang · Yingbo Zhou · Caiming Xiong
|
|
