Statistical Learning
UPS: Unified Projection Sharing for Lightweight Single-Image Super-resolution and Beyond Kun Zhou
To date, Transformer-based frameworks have demonstrated impressive results in single-image super-resolution (SISR).
Conditional independence testing under misspecified inductive biases
Then, we study the performance of regression-based CI tests under misspecified inductive biases.
3DGaussianSplattingas MarkovChainMonteCarlo
While 3DGaussian Splatting has recently become popular for neural rendering, current methods rely on carefully engineered cloning and splitting strategies for placing Gaussians, which can lead to poor-quality renderings, and reliance on a goodinitialization.
Reverse Engineering Self-Supervised Learning
Self-supervised learning (SSL) is a powerful tool in machine learning, but understanding the learned representations and their underlying mechanisms remains a challenge.
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
In online advertising, for instance, the user's profile is the context, the