output
20082026
most citedFirst M87 Event Horizon Telescope Results. I. The Shadow of the Supermassive Black Hole

4.3k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2020 · cs.LGShow all

5 papers · 2 filters

cs.LG2020★ 3 cited

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards

Kyungjae Lee, Hongjun Yang, Sungbin Lim +1

In this paper, we consider stochastic multi-armed bandits (MABs) with heavy-tailed rewards, whose -th moment is bounded by a constant for . First, we propose a…

cs.LG2020

Neural Bootstrapper

Minsuk Shin, Hyungjoo Cho, Hyun-seok Min +1

Bootstrapping has been a primary tool for ensemble and uncertainty quantification in machine learning and statistics. However, due to its nature of multiple training and resampling…

cs.LG2020★ 1 cited

An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs

Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko

There is a growing need for empirical benchmarks that support researchers and practitioners in selecting the best machine learning technique for given prediction tasks. In this pap…

cs.LG2020★ 1 cited

Task-Adaptive Clustering for Semi-Supervised Few-Shot Classification

Jun Seo, Sung Whan Yoon, Jaekyun Moon

Few-shot learning aims to handle previously unseen tasks using only a small amount of new training data. In preparing (or meta-training) a few-shot learner, however, massive labele…

cs.LG2020★ 7 cited

XtarNet: Learning to Extract Task-Adaptive Representation for Incremental Few-Shot Learning

Sung Whan Yoon, Do-Yeon Kim, Jun Seo +1

Learning novel concepts while preserving prior knowledge is a long-standing challenge in machine learning. The challenge gets greater when a novel task is given with only a few lab…