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70 papers · 1 filter
Deep Reinforcement Learning Boosted by External Knowledge
Nicolas Bougie, Ryutaro Ichise
Recent improvements in deep reinforcement learning have allowed to solve problems in many 2D domains such as Atari games. However, in complex 3D environments, numerous learning epi…
Classical System of Martin-Lof's Inductive Definitions is not Equivalent to Cyclic Proofs
Stefano Berardi, Makoto Tatsuta
A cyclic proof system, called CLKID-omega, gives us another way of representing inductive definitions and efficient proof search. The 2005 paper by Brotherston showed that the prov…
Efficiently Decodable Non-Adaptive Threshold Group Testing
Thach V. Bui, Minoru Kuribayashi, Mahdi Cheraghchi +1
We consider non-adaptive threshold group testing for identification of up to defective items in a set of items, where a test is positive if it contains at least $2 \leq u \…
New and Improved Algorithms for Unordered Tree Inclusion
Tatsuya Akutsu, Jesper Jansson, Ruiming Li +2
The tree inclusion problem is, given two node-labeled trees and (the ``pattern tree'' and the ``target tree''), to locate every minimal subtree in (if any) that can be…
Deep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval
Yi Yu, Suhua Tang, Francisco Raposo +1
Little research focuses on cross-modal correlation learning where temporal structures of different data modalities such as audio and lyrics are taken into account. Stemming from th…
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu, Ryutaro Ichise
Knowledge graphs are useful for many artificial intelligence (AI) tasks. However, knowledge graphs often have missing facts. To populate the graphs, knowledge graph embedding model…