Africa
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
We study the task of learning SIMs in the agnostic (a.k.a.
Learning De-Biased Representations for Remote-Sensing Imagery
It is an unsupervised learning approach that can diversify minor class features based on the shared attributes with major classes, where the attributes are obtained by a simple step of clustering.
Rethinking Exploration in Reinforcement Learning with Effective Metric-Based Exploration Bonus
Additionally, methods that utilize the bisimulation metric for evaluating state discrepancies face a theory-practice gap due to improper approximations in metric learning, particularly struggling with hard exploration tasks.
ODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian Splatting
Omnidirectional (or 360-degree) images are increasingly being used for 3D applications since they allow the rendering of an entire scene with a single image.
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
First, we empirically show that the scores matrices indeed have a low-rank structure.