Daiki Ikami
10 papers · 2017–2023 · 5 venues · across top CS/AI venues
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π Interdisciplinary Bridge Β· Bronze π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (27) π£ Hot Topic Early Bird
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Keyword Collector
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Research topics
Machine Learning
(8)
Learning Types Β· Machine Learning
(5)
Application Areas
(4)
Core Methods
(4)
Deep Learning
(3)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory
(3)
Artificial Intelligence
(2)
Computer Vision
(2)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Core AI
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
global optimization
(2)
unsupervised domain adaptation
(2)
self-supervised learning
(2)
contrastive learning
(1)
non-convex optimization
(1)
spectral clustering
(1)
adversarial learning
(1)
cluster analysis
(1)
point set registration
(1)
k-means clustering
(1)
machine unlearning
(1)
data augmentation
(1)
batch normalization
(1)
privacy preservation
(1)
transfer learning
(1)
continual learning
(1)
neural network optimization
(1)
image classification
(1)
graph-based clustering
(1)
representation learning
(1)
Papers
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation
WACV 2023
Self-Labeling Framework for Novel Category Discovery over Domains
AAAI 2022
Constrained Weight Optimization for Learning Without Activation Normalization
WACV 2021
Generalized Domain Adaptation
CVPR 2021
Learning with Selective Forgetting
IJCAI 2021
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning
ECCV 2020
Fast and Robust Estimation for Unit-Norm Constrained Linear Fitting Problems
CVPR 2018
Joint Optimization Framework for Learning With Noisy Labels
CVPR 2018
Local and Global Optimization Techniques in Graph-Based Clustering
CVPR 2018
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems
CVPR 2017