activity
20172024
most citedAutomatic Source Code Summarization with Extended Tree-LSTM

10 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20213 cited

Differentiable Inductive Logic Programming for Structured Examples

Hikaru Shindo, Masaaki Nishino, Akihiro Yamamoto

The differentiable implementation of logic yields a seamless combination of symbolic reasoning and deep neural networks. Recent research, which has developed a differentiable frame…

cs.LG2020

Metric Learning for Ordered Labeled Trees with pq-grams

Hikaru Shindo, Masaaki Nishino, Yasuaki Kobayashi +1

Computing the similarity between two data points plays a vital role in many machine learning algorithms. Metric learning has the aim of learning a good metric automatically from da…

cs.DS2019

Algorithms and Hardness Results for the Maximum Balanced Connected Subgraph Problem

Yasuaki Kobayashi, Kensuke Kojima, Norihide Matsubara +2

The Balanced Connected Subgraph problem (BCS) was recently introduced by Bhore et al. (CALDAM 2019). In this problem, we are given a graph whose vertices are colored by red or…

cs.LG201910 cited

Automatic Source Code Summarization with Extended Tree-LSTM

Yusuke Shido, Yasuaki Kobayashi, Akihiro Yamamoto +2

Neural machine translation models are used to automatically generate a document from given source code since this can be regarded as a machine translation task. Source code summari…

cs.DS2017

Improved Methods for Computing Distances between Unordered Trees Using Integer Programming

Eunpyeong Hong, Yasuaki Kobayashi, Akihiro Yamamoto

Kondo et al. (DS 2014) proposed methods for computing distances between unordered rooted trees by transforming an instance of the distance computing problem into an instance of the…