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Poster
Wed 1:00 Explainable Deep One-Class Classification
Philipp Liznerski · Lukas Ruff · Robert A Vandermeulen · Billy J Franks · Marius Kloft · Klaus R Muller
Poster
Thu 9:00 Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto · Ruslan Salakhutdinov
Workshop
Fri 7:10 Poster Spotlight "Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure"
Zhijie Deng
Workshop
Fri 6:56 QA: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Workshop
Fri 6:31 Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
Yoshua Bengio
Poster
Tue 1:00 Contemplating Real-World Object Classification
Ali Borji
Workshop
Fri 10:00 Keynote 4: Yunhe Wang. Title: AdderNet: Do we really need multiplications in deep learning?
Workshop
Fri 6:30 Intro: Reasoning with Deep Learning Architectures Based on System 2 Inductive Biases
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
Workshop
On Lottery Tickets and Minimal Task Representations in Deep Reinforcement Learning
Marc Vischer · Henning Sprekeler · Robert Lange
Workshop
Fri 11:40 Deep Kernels with Probabilistic Embeddings for Small-Data Learning
Ankur Mallick