activity
20152025
most citedRethinking "Batch" in BatchNorm

26 citations · 26 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2025

Autonomous Elemental Characterization Enabled by a Low Cost Robotic Platform Built Upon a Generalized Software Architecture

Xuan Cao, Yuxin Wu, Michael L. Whittaker

Despite the rapidly growing applications of robots in industry, the use of robots to automate tasks in scientific laboratories is less prolific due to lack of generalized methodolo…

cs.LG2025

A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes

Qingmei Wang, Yuxin Wu, Yujie Long +4

An event sequence generated by a temporal point process is often associated with a hidden and structured event branching process that captures the triggering relations between its…

cs.LG2022

Dissimilar Nodes Improve Graph Active Learning

Zhicheng Ren, Yifu Yuan, Yuxin Wu +3

Training labels for graph embedding algorithms could be costly to obtain in many practical scenarios. Active learning (AL) algorithms are very helpful to obtain the most useful lab…

cs.CV2021★ 26 cited

Rethinking "Batch" in BatchNorm

Yuxin Wu, Justin Johnson

BatchNorm is a critical building block in modern convolutional neural networks. Its unique property of operating on "batches" instead of individual samples introduces significantly…

cs.CV2015

Multilinear Map Layer: Prediction Regularization by Structural Constraint

Shuchang Zhou, Yuxin Wu

In this paper we propose and study a technique to impose structural constraints on the output of a neural network, which can reduce amount of computation and number of parameters b…