Ryoma Sato (@joisino_en) 's Twitter Profile
Ryoma Sato

@joisino_en

Assistant Professor at National Institute of Informatics, Japan. Machine Learning and Data Mining.

ID: 1372151587947212803

linkhttps://joisino.net/en/ calendar_today17-03-2021 11:45:31

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The paper and source code of "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem" (NAACL 2022) are available now. #NAACL2022 Paper📜: arxiv.org/abs/2205.01954 GitHub📂: github.com/joisino/wordto… x.com/joisino_en/sta…

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Our paper "Re-evaluating Word Mover's Distance" was accepted to #ICML2022 as a long presentation🎉 We found simple bag-of-words perform close to Word Mover's Distance when normalized, and explored the reasons. Paper📜: arxiv.org/abs/2105.14403 Code📂: github.com/joisino/reeval…

Our paper "Re-evaluating Word Mover's Distance" was accepted to #ICML2022 as a long presentation🎉

We found simple bag-of-words perform close to Word Mover's Distance when normalized, and explored the reasons.

Paper📜: arxiv.org/abs/2105.14403
Code📂: github.com/joisino/reeval…
Ryoma Sato (@joisino_en) 's Twitter Profile Photo

My paper entitled "Active Learning from the Web" has been accepted to #TheWebConf (WWW) 🎉 I proposed a method for acquiring useful data for model training by regarding the myriad data on the web as a huge pool of active learning. Paper 📜: arxiv.org/abs/2210.08205

My paper entitled "Active Learning from the Web" has been accepted to #TheWebConf (WWW) 🎉 I proposed a method for acquiring useful data for model training by regarding the myriad data on the web as a huge pool of active learning.

Paper 📜: arxiv.org/abs/2210.08205
Ryoma Sato (@joisino_en) 's Twitter Profile Photo

My paper "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" has been accepted to #ICML2023 🎉 I showed GNNs can create new and useful node features even when the input node features are uninformative. Paper📜 arxiv.org/abs/2301.10956

My paper "Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure" has been accepted to #ICML2023 🎉

I showed GNNs can create new and useful node features even when the input node features are uninformative.

Paper📜 arxiv.org/abs/2301.10956
Ryoma Sato (@joisino_en) 's Twitter Profile Photo

My paper "Making Translators Privacy-aware on the User’s Side" has been accepted to TMLR🎉 I proposed a method to guarantee privacy on the user's side when using an untrustworthy translator. Paper📜:arxiv.org/abs/2312.04068

My paper "Making Translators Privacy-aware on the User’s Side" has been accepted to TMLR🎉

I proposed a method to guarantee privacy on the user's side when using an untrustworthy translator.

Paper📜:arxiv.org/abs/2312.04068
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I just published “The Hidden Information AI Understands but Humans Miss.” Check it out here: data-processing.club/superai/

Ryoma Sato (@joisino_en) 's Twitter Profile Photo

🚀 Just published: "Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem!" data-processing.club/1dim/

Ryoma Sato (@joisino_en) 's Twitter Profile Photo

📢NEWS: The Word Tour problem with 40,000 words has been solved optimally — thanks to the collaboration of William Cook and Keld Helsgaun! Details are updated on data-processing.club/1dim/ Solving such a large-scale NP-hard problem is truly remarkable!

Ryoma Sato (@joisino_en) 's Twitter Profile Photo

Our paper "Influential Bandits: Pulling an Arm May Change the Environment" has been accepted to #TMLR 🎉 We proposed and analyzed the influential bandit problem, where an action affects the rewards of other actions. Paper📜:arxiv.org/abs/2504.08200

Our paper "Influential Bandits: Pulling an Arm May Change the Environment" has been accepted to #TMLR 🎉

We proposed and analyzed the influential bandit problem, where an action affects the rewards of other actions.

Paper📜:arxiv.org/abs/2504.08200