Toshiaki Koike-Akino
8 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Deep Learning
(5)
Core AI
(5)
Application Areas
(4)
Learning Types Β· Deep Learning
(4)
Computer Vision
(3)
Natural Language Processing
(2)
Generation
(2)
Learning Paradigms
(2)
Learning Types Β· Machine Learning
(2)
Models
(2)
Analysis
(1)
Applications
(1)
Core Methods
(1)
Keywords
diffusion model
(2)
zero-shot learning
(2)
adversarial learning
(1)
domain adaptation
(1)
feature extraction
(1)
video synthesis
(1)
data augmentation
(1)
image super-resolution
(1)
question answering
(1)
image synthesis
(1)
quantum computing
(1)
machine unlearning
(1)
face alignment
(1)
tensor decomposition
(1)
landmark detection
(1)
knowledge distillation
(1)
image inpainting
(1)
transfer learning
(1)
synthetic data
(1)
model compression
(1)
Papers
LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention
AAAI 2026
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage
AAAI 2025
Quantum-PEFT: Ultra parameter-efficient fine-tuning
ICLR 2025
Winning Big with Small Models: Knowledge Distillation vs. Self-Training for Reducing Hallucination in QA Agents
ACL 2025
TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models
CVPR 2024
Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis
ICCV 2023
Adversarial Bi-Regressor Network for Domain Adaptive Regression
IJCAI 2022
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood
CVPR 2020