Taiki Miyagawa
7 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Cross-Pollinator (5) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(20)
π£
Hot Topic Early Bird
Conferences
ICLR (2)
NIPS (2)
ICML (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
federated learning
(1)
domain adaptation
(1)
source-free domain adaptation
(1)
test-time adaptation
(1)
neural network optimization
(1)
continuous optimization
(1)
multiclass classification
(1)
time series
(1)
gradient descent
(1)
density ratio estimation
(1)
sequential probability ratio test
(1)
convergence guarantee
(1)
deep neural network
(1)
physics-informed neural network
(1)
partial differential equation
(1)
gradient flow
(1)
functional differential equation
(1)
cylindrical approximation
(1)
numerical solver
(1)
high-dimensional pde
(1)
Papers
Learning the Optimal Stopping for Early Classification within Finite Horizons via Sequential Probability Ratio Test
ICLR 2025
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data
WACV 2025
Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset
INTERSPEECH 2024
Physics-informed Neural Networks for Functional Differential Equations: Cylindrical Approximation and Its Convergence Guarantees
NIPS 2024
Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
NIPS 2022
Sequential Density Ratio Estimation for Simultaneous Optimization of Speed and Accuracy
ICLR 2021
The Power of Log-Sum-Exp: Sequential Density Ratio Matrix Estimation for Speed-Accuracy Optimization
ICML 2021