Yasuhiro Fujiwara
27 papers · 2010–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (15) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🐝 Cross-Pollinator (13)
🌍
Conference Polyglot
(7)
🏃
Academic Marathon
(15)
🌈
Renaissance Researcher
(5)
🤝
Dynamic Duo
(11)
🏆
Keyword Champion
(2)
📈
Trend Setter
💎
Century Club
(27)
🚀
Conference Pioneer
🗃️
Keyword Collector
(118)
🔥
Unstoppable
(9)
Conferences
NIPS (9)
AAAI (5)
IJCAI (4)
AISTATS (3)
ICML (3)
ACL (2)
ACML (1)
Top co-authors
Keywords
feature selection
(3)
bayesian nonparametrics
(3)
sparse optimization
(3)
few-shot learning
(3)
language modeling
(2)
gradient-based optimization
(2)
gradient descent
(2)
relational datum
(2)
algorithm optimization
(2)
anomaly detection
(2)
probabilistic modeling
(1)
bayesian inference
(1)
compressive sensing
(1)
label propagation
(1)
convex optimization
(1)
semi-supervised learning
(1)
domain adaptation
(1)
attention mechanism
(1)
optimal transport
(1)
transfer learning
(1)
Papers
ACT: Knowledgeable Agents to Design and Perform Complex Tasks
ACL 2025
Positive-unlabeled AUC Maximization under Covariate Shift
ICML 2025
Importance-weighted Positive-unlabeled Learning for Distribution Shift Adaptation
AISTATS 2025
Tensorized Attention for Understanding Multi-Object Relationships
AAAI 2025
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
NIPS 2024
Zero-Shot Task Adaptation with Relevant Feature Information
AAAI 2024
AUC Maximization under Positive Distribution Shift
NIPS 2024
Uncovering the Largest Community in Social Networks at Scale
IJCAI 2023
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
AAAI 2023
Meta-learning for Robust Anomaly Detection
AISTATS 2023
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion
NIPS 2022
Nonparametric Relational Models with Superrectangulation
AISTATS 2022
Permuton-induced Chinese Restaurant Process
NIPS 2021
Meta-Learning for Relative Density-Ratio Estimation
NIPS 2021
Bayesian nonparametric model for arbitrary cubic partitioning
ACML 2021
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI 2020
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
ICML 2020
Efficient Data Point Pruning for One-Class SVM
AAAI 2019
Fast Sparse Group Lasso
NIPS 2019
Transfer Anomaly Detection by Inferring Latent Domain Representations
NIPS 2019
Sigsoftmax: Reanalysis of the Softmax Bottleneck
NIPS 2018
SVD-Based Screening for the Graphical Lasso
IJCAI 2017
Preventing Gradient Explosions in Gated Recurrent Units
NIPS 2017
Adaptive Learning Rate via Covariance Matrix Based Preconditioning for Deep Neural Networks
IJCAI 2017
Quiet: Faster Belief Propagation for Images and Related Applications
IJCAI 2015
Efficient Label Propagation
ICML 2014
Efficient Staggered Decoding for Sequence Labeling
ACL 2010