Asia
Cross-modal Learningfor Image-Guided Point Cloud Shape Completion
Theimageencoderisbuiltwitha ResNet18 [36] as 6 Table 1: Mean 3).
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
We further encourage the generator to adversarially learn from the self-supervised discriminator by generating augmentation-predictable real and not fake data.
DRAGON - Deep Bidirectional Language-Knowledge Graph Pretraining
Medicalsubjectheadings (mesh).Bulletinofthe Medical Library Association, 88(3):265, 2000.
Multi-Fidelity Multi-Armed Bandits Revisited
The formal definition of MF-MAB is presented in Section 2. 1.1 Contributions
Optimal Decision Tree with Noisy Outcomes
Su Jia, viswanath nagarajan, Fatemeh Navidi, R Ravi
Neural Information Processing Systems http://nips.cc/
Deep Poisson gamma dynamical systems
Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
Moreover, we develop stochastic gradient MCMC inference that is scalable to very long multivariate count time series.
PhysGNN: APhysics-DrivenGraphNeuralNetwork BasedModelforPredictingSoftTissueDeformationin Image-GuidedNeurosurgery
On the other hand, model-based methods are a set of registration techniques that treat images as a deformable volume--a notion first introduced by Broit [1981]--to better allow for presenting elastic and plastic deformations.
A Lyapunov-based Approach to Safe Reinforcement Learning
Yinlam Chow, Ofir Nachum, Edgar Duenez-Guzman, Mohammad Ghavamzadeh
Neural Information Processing Systems http://nips.cc/