Sekitoshi Kanai
16 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(14)
Deep Learning
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Optimization & Theory · Machine Learning
(8)
Application Areas
(5)
Learning Types · Machine Learning
(5)
Mathematics & Optimization
(4)
Learning Types · Deep Learning
(4)
Optimization
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Optimization & Theory · Deep Learning
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Artificial Intelligence
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Computer Vision
(3)
Architectures
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Core Methods
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Models
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Techniques
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Keywords
adversarial training
(3)
data augmentation
(2)
gradient descent
(2)
feature extractor
(2)
language modeling
(2)
knowledge distillation
(2)
recurrent neural network
(2)
convolutional neural network
(2)
generative adversarial network
(2)
gradient-based optimization
(2)
feature selection
(2)
sparse optimization
(2)
knowledge transfer
(1)
image restoration
(1)
optimal transport
(1)
model robustness
(1)
transfer learning
(1)
adversarial robustness
(1)
modality alignment
(1)
non-convex optimization
(1)
Papers
Post-pre-training for Modality Alignment in Vision-Language Foundation Models
CVPR 2025
Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks
CVPR 2024
Fast Iterative Hard Thresholding Methods with Pruning Gradient Computations
NeurIPS 2024
Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff
ICCV 2023
Fast Block Coordinate Descent for Non-Convex Group Regularizations
AISTATS 2023
Fast Regularized Discrete Optimal Transport with Group-Sparse Regularizers
AAAI 2023
Fast Saturating Gate for Learning Long Time Scales with Recurrent Neural Networks
AAAI 2023
One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
ICML 2023
Regularizing Neural Networks with Meta-Learning Generative Models
NeurIPS 2023
F-Drop&Match: GANs With a Dead Zone in the High-Frequency Domain
ICCV 2021
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks
AAAI 2020
Effective Data Augmentation with Multi-Domain Learning GANs
AAAI 2020
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
ICML 2020
Efficient Data Point Pruning for One-Class SVM
AAAI 2019
Sigsoftmax: Reanalysis of the Softmax Bottleneck
NeurIPS 2018
Preventing Gradient Explosions in Gated Recurrent Units
NeurIPS 2017