Hisashi Kashima
35 papers · 2007–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Hisashi Kashima?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Koh Takeuchi, Jiyi Li, Yukino Baba
12 papers
· 2013–2026
· AAAI, IJCAI, NeurIPS
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Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models
AAAI 2026
Counterfactual Evaluation for Blind Attack Detection in LLM-based Evaluation Systems
IJCNLP 2025
AHP-Powered LLM Reasoning for Multi-Criteria Evaluation of Open-Ended Responses
EMNLP 2024
Evaluating Saliency Explanations in NLP by Crowdsourcing
COLING 2024
Regularizing Neural Networks with Meta-Learning Generative Models
NeurIPS 2023
Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations
AAAI 2022
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
ICML 2020
Performance as a Constraint: An Improved Wisdom of Crowds Using Performance Regularization
IJCAI 2020
Fast Sparse Group Lasso
NeurIPS 2019
Knowledge Tracing Machines: Factorization Machines for Knowledge Tracing
AAAI 2019
Simultaneous Clustering and Ranking from Pairwise Comparisons
IJCAI 2018
Accurate Integration of Crowdsourced Labels Using Workers’ Self-Reported Confidence Scores
IJCAI 2013
10 papers whose co-authors appear nowhere else under this name
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
WACV 2025
Enhancing Chess Reinforcement Learning with Graph Representation
NeurIPS 2024
Behavior Estimation from Multi-Source Data for Offline Reinforcement Learning
AAAI 2023
Regret Minimization for Causal Inference on Large Treatment Space
AISTATS 2021
Active Change-Point Detection
ACML 2019
Theoretical evidence for adversarial robustness through randomization
NeurIPS 2019
Budgeted stream-based active learning via adaptive submodular maximization
NeurIPS 2016
Progressive Comparison for Ranking Estimation
IJCAI 2016
Statistical Performance of Convex Tensor Decomposition
NeurIPS 2011
Training Conditional Random Fields Using Incomplete Annotations
COLING 2008