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Poster
Tue 9:00 A Loss Function for Generative Neural Networks Based on Watson’s Perceptual Model
Steffen Czolbe · Oswin Krause · Ingemar Cox · Christian Igel
Poster
Thu 9:00 Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi · Kfir Y. Levy · Stefanie Jegelka · Andreas Krause
Poster
Wed 9:00 Multi-task Causal Learning with Gaussian Processes
Virginia Aglietti · Theodoros Damoulas · Mauricio Álvarez · Javier González
Poster
Tue 9:00 Finite Continuum-Armed Bandits
Solenne Gaucher
Poster
Thu 9:00 Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola · Amos Storkey
Poster
Thu 21:00 Noise-Contrastive Estimation for Multivariate Point Processes
Hongyuan Mei · Tom Wan · Jason Eisner
Spotlight
Thu 7:00 Self-Supervised Relational Reasoning for Representation Learning
Massimiliano Patacchiola · Amos Storkey
Poster
Tue 21:00 POMO: Policy Optimization with Multiple Optima for Reinforcement Learning
Yeong-Dae Kwon · Jinho Choo · Byoungjip Kim · Iljoo Yoon · Youngjune Gwon · Seungjai Min
Poster
Thu 21:00 CircleGAN: Generative Adversarial Learning across Spherical Circles
Woohyeon Shim · Minsu Cho