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Hisashi Kashima
10 papers at tracked venues · 4 at CORE A* · active 2024–2026
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Venues
WACV
×2
AAAI
×1
AAMAS
×1
ACL
×1
CIKM
×1
CVPR
×1
ECAI
×1
EMNLP
×1
NeurIPS
×1
Frequent coauthors
Koh Takeuchi
×4
Kyohei Atarashi
×2
Yu Mitsuzumi
×2
Akisato Kimura
×2
Ryota Maruo
×2
Michinori Jinji
×1
Tianxiao Cao
×1
Junki Mori
×1
Kosuke Kihara
×1
Taiki Miyagawa
×1
Akinori F. Ebihara
×1
Isamu Teranishi
×1
Papers
MAPLE: Multi-Aspect Panels of LLM Evaluators for Open-Ended Questions
BibTeX ⧉
ACL 2026
·
Michinori Jinji
,
Kyohei Atarashi
,
Koh Takeuchi
,
Hisashi Kashima
Model-free Domain Adaptation for Concealed Multimodal Large-Language Models
BibTeX ⧉
WACV 2026
·
Yu Mitsuzumi
,
Akisato Kimura
,
Hisashi Kashima
Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
BibTeX ⧉
AAAI 2026
·
Tianxiao Cao
,
Kyohei Atarashi
,
Hisashi Kashima
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
BibTeX ⧉
WACV 2025
·
Junki Mori
,
Kosuke Kihara
,
Taiki Miyagawa
,
Akinori F. Ebihara
,
Isamu Teranishi
,
Hisashi Kashima
Learning Fair and Preferable Allocations through Neural Network
BibTeX ⧉
AAMAS 2025
·
Ryota Maruo
,
Koh Takeuchi
,
Hisashi Kashima
Learning Neural Strategy-Proof Matching Mechanism from Examples
BibTeX ⧉
ECAI 2025
·
Ryota Maruo
,
Koh Takeuchi
,
Hisashi Kashima
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
BibTeX ⧉
EMNLP 2024
·
Xiaotian Lu
,
Jiyi Li
,
Koh Takeuchi
,
Hisashi Kashima
Enhancing Chess Reinforcement Learning with Graph Representation
BibTeX ⧉
NeurIPS 2024
·
Tomas Rigaux
,
Hisashi Kashima
Learning Counterfactual Explanations with Intervals for Time-series Classification
BibTeX ⧉
CIKM 2024
·
Akihiro Yamaguchi
,
Ken Ueno
,
Ryusei Shingaki
,
Hisashi Kashima
Understanding and Improving Source-Free Domain Adaptation from a Theoretical Perspective
BibTeX ⧉
CVPR 2024
·
Yu Mitsuzumi
,
Akisato Kimura
,
Hisashi Kashima