René's URL Explorer Experiment


Title: Sosuke Kobayashi

Open Graph Title: Sosuke Kobayashi

Description: Sosuke Kobayashi is a researcher and research/applied engineer working across machine learning, language, vision, and 3D/4D AI systems.

Open Graph Description: Research and applied engineering across machine learning, language, vision, and 3D/4D AI systems.

Mail addresses
sosk__AT__preferred__DOT__jp

Opengraph URL: https://soskek.github.io/

direct link

Domain: soskek.github.io

authorSosuke Kobayashi
og:typewebsite
twitter:cardsummary

Links:

https://scholar.google.com/citations?user=VY6PqvsAAAAJ
https://github.com/soskek
https://twitter.com/sosk_sosk
https://www.linkedin.com/in/sosk/
Preferred Networks, Inc.https://www.preferred-networks.jp/en/
the Center for Language AI Researchhttps://langai.tohoku.ac.jp/
historyhttps://soskek.github.io/#education_and_experience
Google Scholarhttps://scholar.google.com/citations?user=VY6PqvsAAAAJ
paperhttps://openreview.net/forum?id=JnebU2QLdH
arxivhttps://arxiv.org/abs/2603.16127
arxivhttps://arxiv.org/abs/2504.17562
arxivhttps://arxiv.org/abs/2504.00623
paperhttps://dl.acm.org/doi/10.1145/3708359.3712141
arxivhttps://arxiv.org/abs/2312.16903
paperhttps://aclanthology.org/2023.findings-acl.192/
arxivhttps://arxiv.org/abs/2206.00330
codehttps://github.com/takase/b2t_connection
paperhttps://proceedings.neurips.cc/paper_files/paper/2022/hash/93f250215e4889119807b6fac3a57aec-Abstract-Conference.html
arxivhttps://arxiv.org/abs/2205.15585
codehttps://github.com/pfnet-research/distilled-feature-fields
projecthttps://pfnet-research.github.io/distilled-feature-fields/
paperhttps://aclanthology.org/2022.bigscience-1.4/
arxivhttps://arxiv.org/abs/2205.11833
bibhttps://aclanthology.org/2022.bigscience-1.4.bib
paperhttps://doi.org/10.1145/3491102.3501839
bibhttps://soskek.github.io/publications/bibs/chi22.bib
paperhttps://doi.org/10.1162/tacl_a_00439
arxivhttps://arxiv.org/abs/2109.13497
bibhttps://direct.mit.edu/Citation/Download?resourceId=108864&resourceType=3&citationFormat=2
paperhttps://aclanthology.org/2021.emnlp-main.266/
arxivhttps://arxiv.org/abs/2109.05644
bibhttps://aclanthology.org/2021.emnlp-main.266.bib
paperhttps://www.jstage.jst.go.jp/article/jnlp/28/2/28_573/_pdf
arxivhttps://arxiv.org/abs/2012.04207
codehttps://github.com/soskek/turnover_dropout
bibhttps://www.jstage.jst.go.jp/AF06S010ShoshJkuDld?sryCd=jnlp&noVol=28&noIssue=2&kijiCd=28_573&kijiLangKrke=ja&kijiToolIdHkwtsh=AT0073&request_locale=JA
paperhttps://www.aclweb.org/anthology/2020.sustainlp-1.6/
arxivhttps://arxiv.org/abs/2012.04207
codehttps://github.com/soskek/turnover_dropout
bibhttps://www.aclweb.org/anthology/2020.sustainlp-1.6.bib
paperhttps://proceedings.neurips.cc//paper/2020/hash/275d7fb2fd45098ad5c3ece2ed4a2824-Abstract.html
arxivhttps://arxiv.org/abs/2004.12073
codehttps://github.com/takase/alone_seq2seq
bibhttps://proceedings.neurips.cc/paper/2020/file/275d7fb2fd45098ad5c3ece2ed4a2824-Bibtex.bib
paperhttps://www.aclweb.org/anthology/2020.acl-main.575/
arxivhttps://arxiv.org/abs/2004.14514
bibhttps://www.aclweb.org/anthology/2020.acl-main.575.bib
paperhttps://doi.org/10.1007/s11263-020-01333-y
arxivhttps://arxiv.org/abs/1811.09245
codehttps://github.com/pfnet-research/tgan2
paperhttps://tsujuifu.github.io/pubs/neuripsw19_ood.pdf
paperhttps://openreview.net/pdf?id=rygEej0Eu4
arxivhttps://arxiv.org/abs/1906.08412
arxivhttps://arxiv.org/abs/1810.11748
paperhttps://www.aclweb.org/anthology/D18-1203.pdf
arxivhttps://arxiv.org/abs/1809.00800
slidehttps://speakerdeck.com/eumesy/pointwise-hsic-a-linear-time-kernelized-co-occurrence-norm-for-sparse-linguistic-expressions
bibhttps://www.aclweb.org/anthology/D18-1203.bib
paperhttps://www.aclweb.org/anthology/P18-2091.pdf
arxivhttps://arxiv.org/abs/1805.05581
codehttps://github.com/jqk09a/style-sensitive-word-vectors
bibhttps://www.aclweb.org/anthology/P18-2091.bib
projecthttps://jqk09a.github.io/style-sensitive-word-vectors/
paperhttps://www.aclweb.org/anthology/N18-2072.pdf
arxivhttps://arxiv.org/abs/1805.06201
codehttps://github.com/pfnet-research/contextual_augmentation
bibhttps://www.aclweb.org/anthology/N18-2072.bib
paperhttps://arxiv.org/pdf/1710.06280.pdf
arxivhttps://arxiv.org/abs/1710.06280
datasethttps://github.com/pfnet-research/picking-instruction
bibhttps://projects.preferred.jp/interactive-robot/#cite
projecthttps://projects.preferred.jp/interactive-robot/
videohttps://www.youtube.com/watch?v=DGJazkyw0Ws&feature=youtu.be
an autonomous robot system demohttps://projects.preferred.jp/tidying-up-robot/en/
WSJhttps://www.wsj.com/articles/attention-parents-this-robot-will-clean-up-your-childs-toys-1539602386
BBChttp://www.bbc.com/future/bespoke/the-disruptors/making-a-better-future/
NVIDIA GTC 2019https://blogs.nvidia.com/blog/2019/03/20/home-helper-startups-robot-can-tidy-up-a-messy-house/
paperhttps://www.aclweb.org/anthology/I17-1048.pdf
arxivhttps://arxiv.org/abs/1709.01679
slidehttps://soskek.github.io/publications/slide_kobayashi_ijcnlp2017.pdf
bibhttps://www.aclweb.org/anthology/I17-1048.bib
videohttps://raw.githubusercontent.com/soskek/dynamic_neural_text_model/master/misc/dynamic_entity_representation_in_hikaru_no_go.gif
paperhttps://www.aclweb.org/anthology/I17-2069.pdf
bibhttps://www.aclweb.org/anthology/I17-2069.bib
paperhttps://www.aclweb.org/anthology/W17-0911.pdf
bibhttps://www.aclweb.org/anthology/W17-0911.bib
paperhttp://www.ijmlc.org/vol6/606-A7.pdf
paperhttps://www.aclweb.org/anthology/S16-1065.pdf
bibhttps://www.aclweb.org/anthology/S16-1065.bib
paperhttps://www.aclweb.org/anthology/N16-1099.pdf
codehttps://github.com/soskek/der-network
bibhttps://www.aclweb.org/anthology/N16-1099.bib
paperhttp://www.cl.ecei.tohoku.ac.jp/~naoya-i/resources/itswc2015_paper.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2025/pdf_dir/C8-4.pdf
abstracthttps://confman.interaction-ipsj.org/cacheimg/i2025/export/webcat_0.html#pid06
abstracthttps://confman.interaction-ipsj.org/cacheimg/i2025/export/webcat_2.html#pid2B34
paperhttps://www.anlp.jp/proceedings/annual_meeting/2024/pdf_dir/A11-2.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2022/pdf_dir/A2-5.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2022/pdf_dir/PH2-7.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2021/pdf_dir/D3-4.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2021/pdf_dir/B1-4.pdf
paperhttps://www.anlp.jp/proceedings/annual_meeting/2020/pdf_dir/D1-1.pdf
paperhttps://soskek.github.io/publications/rsj2018-nlp-robot.pdf
paperhttps://confit.atlas.jp/guide/event-img/jsai2018/1J2-01/public/pdf?type=in
paperhttps://confit.atlas.jp/guide/event-img/jsai2018/1N2-03/public/pdf?type=in
paperhttps://anlp.jp/proceedings/annual_meeting/2018/pdf_dir/C5-1.pdf
paperhttps://anlp.jp/proceedings/annual_meeting/2018/pdf_dir/C7-1.pdf
paperhttps://anlp.jp/proceedings/annual_meeting/2018/pdf_dir/D4-3.pdf
slidehttp://www.cl.ecei.tohoku.ac.jp/~yokoi/docs/201711-ibis-poster.pdf
paperhttps://ipsj.ixsq.nii.ac.jp/ej/index.php?active_action=repository_view_main_item_detail&page_id=13&block_id=8&item_id=182719&item_no=1
slidehttps://www.slideshare.net/hamadakoichi/neural-dialogue-generation
bibhttps://ipsj.ixsq.nii.ac.jp/ej/?action=repository_bibtex&itemId=182719&itemNo=1
paperhttps://www.anlp.jp/proceedings/annual_meeting/2017/pdf_dir/B3-3.pdf
paperhttps://ci.nii.ac.jp/naid/40021053584
paperhttps://www.anlp.jp/proceedings/annual_meeting/2016/pdf_dir/A7-5.pdf
paperhttps://jsai.ixsq.nii.ac.jp/ej/?action=pages_view_main&active_action=repository_view_main_item_detail&item_id=760&item_no=1&page_id=13&block_id=23
PFN 3Dhttps://pfn3d.com/
overviewhttps://pfn3d.com/overview
YouTubehttps://www.youtube.com/@pfn3d/videos
ITmediahttps://www.itmedia.co.jp/news/articles/2210/26/news173.html
CGWORLD part 1https://cgworld.jp/regular/202605-chiyama-t-13-1.html
CGWORLD part 2https://cgworld.jp/regular/202606-chiyama-t-13-2.html
PFN newshttps://www.preferred.jp/ja/news/pr20260413
4DGS from still imageshttps://tech.preferred.jp/ja/blog/blowin-in-the-wild-4dgs-from-still-images/
4DGS viewerhttps://tech.preferred.jp/ja/blog/4d-gaussian-splatting-web-viewer/
interactive SfMhttps://tech.preferred.jp/ja/blog/interactive_sfm/
3DGS init/relocatehttps://tech.preferred.jp/ja/blog/init-and-relocate-3dgs/
PFN newshttps://www.preferred.jp/ja/news/pr20181015
projecthttps://projects.preferred.jp/tidying-up-robot/en/
WSJhttps://www.wsj.com/articles/attention-parents-this-robot-will-clean-up-your-childs-toys-1539602386
the Center for Language AI Researchhttps://langai.tohoku.ac.jp/
FaiLabhttps://www.fai.cds.tohoku.ac.jp/
Inui-Suzuki Labhttps://www.nlp.ecei.tohoku.ac.jp/
Preferred Networks, Inc.https://www.preferred-networks.jp/en/
Inui-Okazaki Labhttp://www.cl.ecei.tohoku.ac.jp/
COLMhttps://colmweb.org/
ACL Rolling Reviewhttps://aclrollingreview.org/
ACLhttps://aclanthology.org/venues/acl/
EMNLPhttps://aclanthology.org/venues/emnlp/
NAACLhttps://aclanthology.org/venues/naacl/
COLINGhttps://aclanthology.org/venues/coling/
論文誌 自然言語処理https://www.jstage.jst.go.jp/browse/jnlp/-char/en/
情報処理学会NL研https://sites.google.com/sig-nl.ipsj.or.jp/sig-nl/home?authuser=0
ICLRhttps://iclr.cc/
NeurIPShttps://nips.cc/
ICMLhttps://icml.cc/
ICRAhttps://www.icra2019.org/
論文誌 自然言語処理https://anlp.jp/index.html
情報処理学会自然言語処理(NL)研究会https://sites.google.com/sig-nl.ipsj.or.jp/sig-nl/home
言語処理技術セミナー2021https://sites.google.com/site/nlpseminarweb
第11回 最先端NLP勉強会https://sites.google.com/view/snlp-jp/home/2019
第10回 最先端NLP勉強会https://sites.google.com/view/snlp-jp/home/2018
第9回 最先端NLP勉強会https://sites.google.com/view/snlp-jp/home/2017
第8回 最先端NLP勉強会http://www.logos.t.u-tokyo.ac.jp/snlp8/
Deep Learning Tutorial with Chainerhttps://tutorials.chainer.org/
Kaggleに挑む深層学習プログラミングの極意https://www.hanmoto.com/bd/isbn/9784065305133
amazonhttps://www.amazon.co.jp/dp/4065305136
深層学習による自然言語処理 (機械学習プロフェッショナルシリーズ)https://www.kspub.co.jp/book/detail/1529243.html
amazonhttps://www.amazon.co.jp/dp/4061529242
ウェブデータの機械学習 (機械学習プロフェッショナルシリーズ)http://www.kspub.co.jp/book/detail/1529182.html
amazonhttps://www.amazon.co.jp/dp/4061529188
深層学習 Deep Learninghttp://www.kindaikagaku.co.jp/information/kd0487.htm
amazonhttps://www.amazon.co.jp/dp/476490487X
Preferred Infrastructure, Inc.https://preferred.jp/en/
Preferred Infrastructure, Inc.https://preferred.jp/en/
Recruit Jobs Co., Ltd.http://www.recruitjobs.co.jp/
Recruit Holdings Co., Ltd.http://www.recruit-rgf.com/
DENSO Corporationhttp://www.denso.co.jp/
chaii - Hindi and Tamil Question Answeringhttps://www.kaggle.com/c/chaii-hindi-and-tamil-question-answering/discussion/288045
Machine Learning for Language and the Worldhttps://yans.anlp.jp/entry/yans2023invitesession#%E8%A8%80%E8%AA%9E%E3%81%A8%E4%B8%96%E7%95%8C%E3%81%AE%E6%A9%9F%E6%A2%B0%E5%AD%A6%E7%BF%92%E5%B0%8F%E6%9E%97-%E9%A2%AF%E4%BB%8B-%E6%B0%8FPreferred-Networks--%E6%9D%B1%E5%8C%97%E5%A4%A7%E5%AD%A6
NLP若手の会 (YANS) 第18回シンポジウムhttps://yans.anlp.jp/entry/yans2023
Efficient Estimation of Influence of a Training Instancehttps://arxiv.org/abs/2012.04207
the 22nd Doctoral Student Presentationshttps://www.is.tohoku.ac.jp/jp/news/award_s/detail---id-873.html
ビジョン＆ランゲージによる意図理解と曖昧性解消https://www.slideshare.net/SSII_Slides/ssii2019os13-149132279
第25回 画像センシングシンポジウム (SSII2019) オーガナイズドセッション『ビジョン & ランゲージ 「意図」をどのようにモデリングするか？』https://confit.atlas.jp/guide/event/ssii2019/static/organized#OS1
Learning Communication with Neural Networkshttps://www.slideshare.net/hytae/learning-communication-with-neural-networks
PFN Seminarhttps://www.youtube.com/watch?v=ZrLiNAMHszo
NAACL-HLT 2016http://naacl.org/naacl-hlt-2016/
NLP若手の会 (YANS) 第11回シンポジウムhttp://yans.anlp.jp/entry/yans2016
Recent Progress in RNN and NLPhttp://www.slideshare.net/hytae/recent-progress-in-rnn-and-nlp-63762080
構造理解に基づく大規模文献情報からの知識発見https://www.jst.go.jp/kisoken/crest/project/44/15656596.html

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