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Poster
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Thu 9:00
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CURL: Contrastive Unsupervised Representations for Reinforcement Learning
Michael Laskin · Aravind Srinivas · Pieter Abbeel
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Poster
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Wed 5:00
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SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
Bo Han · Gang Niu · Xingrui Yu · QUANMING YAO · Miao Xu · Ivor Tsang · Masashi Sugiyama
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Poster
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Tue 13:00
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Uncertainty Estimation Using a Single Deep Deterministic Neural Network
Joost van Amersfoort · Lewis Smith · Yee-Whye Teh · Yarin Gal
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Poster
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Thu 17:00
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Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
Jang-Hyun Kim · Wonho Choo · Hyun Oh Song
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Tutorial
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Mon 8:00
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Bayesian Deep Learning and a Probabilistic Perspective of Model Construction
Andrew Wilson
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Workshop
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Fri 13:45
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[Session 1] P#11 Modeling Brain Microarchitecture with Deep Representation Learning
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Workshop
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Sat 9:00
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Contributed Talk: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie
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Workshop
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Fri 12:05
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Spotlight Talk: Deep Reinforcement Learning amidst Lifelong Non-Stationarity
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Workshop
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Deep Reinforcement Learning amidst Lifelong Non-Stationarity
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Poster
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Tue 9:00
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Learning Algebraic Multigrid Using Graph Neural Networks
Ilay Luz · Meirav Galun · Haggai Maron · Ronen Basri · Irad Yavneh
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Poster
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Tue 13:00
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Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli · Lingjiong Zhu · Yee-Whye Teh · Mert Gurbuzbalaban
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Workshop
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Sat 3:45
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Contributed Talk: Continual Deep Learning by Functional Regularisation of Memorable Past
Siddharth Swaroop
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