Graph and hypergraph representation learning has attracted increasing
at...
This work focuses on the persistent monitoring problem, where a set of
t...
Trading off performance guarantees in favor of scalability, the Multi-Ag...
Gamma-Phi losses constitute a family of multiclass classification loss
f...
Generating agents that can achieve Zero-Shot Coordination (ZSC) with uns...
Open relation extraction (OpenRE) is the task of extracting relation sch...
Recent research in the theory of overparametrized learning has sought to...
Purpose of review: Recent advances in sensing, actuation, and computatio...
Learning from label proportions (LLP) is a weakly supervised classificat...
Decentralized cooperation in partially-observable multi-agent systems
re...
Vapnik-Chervonenkis (VC) theory has so far been unable to explain the sm...
Video super-resolution has recently become one of the most important
mob...
Recent empirical evidence suggests that the Weston-Watkins support vecto...
Student reviews and comments on RateMyProfessor.com reflect realistic
le...
Big data management aims to establish data hubs that support data in mul...
Multiclass extensions of the support vector machine (SVM) have been
form...
Automatic question generation according to an answer within the given pa...
This work proves a new result on the correct convergence of Min-Sum Loop...