Yuya Yoshikawa
6 papers · 2014–2025 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(5)
Optimization & Theory
(4)
Deep Learning
(3)
Core Methods
(3)
Natural Language Processing
(2)
Application Areas
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Applications
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Generation Β· Computer Vision
(1)
Generation Β· Natural Language Processing
(1)
Keywords
kernel embedding
(2)
metric learning
(2)
distribution embedding
(2)
gradient-based optimization
(1)
self-supervised learning
(1)
machine translation
(1)
natural language generation
(1)
image captioning
(1)
parallel corpus
(1)
feature attribution
(1)
model interpretability
(1)
support vector machine
(1)
latent variable
(1)
local explanation
(1)
consistency property
(1)
latent distribution
(1)
latent space
(1)
fast fourier transform
(1)
post-hoc explanation
(1)
barlow twin
(1)
Papers
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property
IJCAI 2025
Explanation-based Training with Differentiable Insertion/Deletion Metric-aware Regularizers
AISTATS 2024
Learning Decorrelated Representations Efficiently Using Fast Fourier Transform
CVPR 2023
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset
ACL 2017
Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions
NeurIPS 2015
Latent Support Measure Machines for Bag-of-Words Data Classification
NeurIPS 2014