Ryutaro Tanno
10 papers · 2018–2025 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(7)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(3)
Core Methods
(3)
Optimization & Theory
(3)
Computer Vision
(2)
Healthcare & Medicine
(2)
Clinical
(2)
Learning Types Β· Deep Learning
(2)
Techniques
(2)
Analysis
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Keywords
continual learning
(1)
semantic segmentation
(1)
image segmentation
(1)
semi-supervised learning
(1)
multi-task learning
(1)
variational inference
(1)
bayesian learning
(1)
label propagation
(1)
noisy label learning
(1)
model architecture
(1)
image synthesis
(1)
conditional computation
(1)
machine unlearning
(1)
medical image segmentation
(1)
prompt learning
(1)
efficient computing
(1)
inductive inference
(1)
graph regularization
(1)
annotator reliability
(1)
representation learning
(1)
Papers
Diffusion Instruction Tuning
ICML 2025
An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning
ICML 2024
Bad Students Make Great Teachers: Active Learning Accelerates Large-Scale Visual Understanding
ECCV 2024
Learning to Downsample for Segmentation of Ultra-High Resolution Images
ICLR 2022
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Disentangling Human Error from Ground Truth in Segmentation of Medical Images
NeurIPS 2020
Adaptive Neural Trees
ICML 2019
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion
CVPR 2019
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels
ICCV 2019
Semi-Supervised Learning via Compact Latent Space Clustering
ICML 2018