Europe
Self-Supervised Generation of Spatial Audio for 360° Video
Pedro Morgado, Nuno Nvasconcelos, Timothy Langlois, Oliver Wang
As humans rely on audio localization cues for full scene awareness,spatial audio is a crucial componentof360 video.
A Generalized Algorithm for Multi-Objective Reinforcement Learning and Policy Adaptation
Runzhe Yang, Xingyuan Sun, Karthik Narasimhan
Neural Information Processing Systems http://nips.cc/
Leveraging sparse and shared feature activations for disentangled representation learning
However, this is not always the case, as different tasks can compete with each other and lead to weaker models.
Leveraging sparse and shared feature activations for disentangled representation learning
However, this is not always the case, as different tasks can compete with each other and lead to weaker models.
AGenericAccelerationFramework forStochasticCompositeOptimization
Specifically, we extend the Catalyst approach originally designed fordeterministic objectives tothe stochastic setting.
Certification of Distributional Individual Fairness
To combat this, there has been a surge of interest in algorithmic fairness metrics (Mehrabi et al., 2021).
Probabilistic Watershed: Sampling all spanning forests for seeded segmentation and semi-supervised learning
Enrique Fita Sanmartin, Sebastian Damrich, Fred A. Hamprecht
Seeded segmentation in computer vision and graph-based semi-supervised machine learning are essentially thesameproblem.
A Regression Approach to Learning Augmented Online Algorithms
K. Anand, R. Ge, A. Kumar, D. Panigrahi
A recent trend in online algorithms has seen the use of future predictions generated by ML techniques to bypass pessimistic worst-case lower bounds.