Statistical Learning
Neural Topographic Factor Analysis for fMRI Data
Analyzing functional neuroimaging studies is both a large data problem and a small data problem.
MST: Masked Self-Supervised Transformer for Visual Representation
Language Processing (NLP) and achieved great success.
List-Decodable Sparse Mean Estimation via Difference-of-Pairs Filtering
We study the problem of list-decodable sparse mean estimation.
Rethinking Importance Weighting for Deep Learning under Distribution Shift T ongtong Fang 1 Nan Lu1,2 Gang Niu
Eq. (1), importance weighting (IW) [46, 49, 21, 50, 51, 25] can handle DS in two separate steps: weight estimation (WE) with the help of a tiny set of validation data from p
Direct Multi-view Multi-person 3D Pose Estimation Tao Wang
Notably, it achieves 92.3% AP Multi-view multi-person 3D pose estimation aims to localize 3D skeleton joints for each person instance in a scene from multi-view camera inputs. Additionally, we mitigate the commonly faced generalization issue by a simple query adaptation strategy.
A Statistical Mechanics Framework for Task-Agnostic Sample Design in Machine Learning
In particular, we express generalization gap in terms of the power spectra of the sample design and that of the function to be learned.
Scalable Distributional Robustness in a Class of Non Convex Optimization with Guarantees
Mostly, if not always, these works have focussed on the task of classification or regression.