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Yusuke Mukuta

16 papers · 2014–2025 · 10 venues · across top CS/AI venues

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Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (32) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ† Grand Slam 🀝 Dynamic Duo (15) πŸš€ Conference Pioneer πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze 🌈 Renaissance Researcher (5) πŸ—ƒοΈ Keyword Collector (86)

Venues

AAAI (4) COLING (2) ICCV (2) ICML (2) CVPR (1) ECCV (1) ICLR (1) NAACL (1) NeurIPS (1) WACV (1)

Top co-authors

Tatsuya Harada (15) Yoshitaka Ushiku (2) Kohtaro Tanaka (2) Motoki Omura (2) Yuki Kawana (2) Hiroaki Yamane (2) Yusuke Mori (2) Takayuki Osa (2) Masanobu Kitagawa (1) Qier Meng (1)

Research topics

Machine Learning (10) Core Methods (6) Artificial Intelligence (5) Learning Types (5) Computer Vision (4) Deep Learning (4) Core AI (4) Architectures (3) Models (3) Optimization & Theory (3) Reinforcement Learning (2) Analysis (2) Applications (2) Generation (2) Methods (2)

Keywords

image generation (2) variational autoencoder (2) 3d reconstruction (1) semantic segmentation (1) sample efficiency (1) semi-supervised learning (1) text generation (1) chain-of-thought reasoning (1) binary classification (1) feature extraction (1) bayesian inference (1) logistic regression (1) neuromorphic computing (1) causal discovery (1) natural language generation (1) feature learning (1) reinforcement learning (1) multimodal learning (1) image captioning (1) deep reinforcement learning (1)

Papers

Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning ICML 2025 Content-Specific Humorous Image Captioning Using Incongruity Resolution Chain-of-Thought NAACL 2024 Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning AAAI 2024 Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment WACV 2023 Fully Spiking Variational Autoencoder AAAI 2022 Learning to Evaluate Humor in Memes Based on the Incongruity Theory COLING 2022 Unsupervised Pose-Aware Part Decomposition for Man-Made Articulated Objects ECCV 2022 Hyperbolic Neural Networks++ ICLR 2021 Spherical Image Generation from a Single Image by Considering Scene Symmetry AAAI 2021 Finding and Generating a Missing Part for Story Completion COLING 2020 Neural Star Domain as Primitive Representation NeurIPS 2020 Estimating the Causal Effect from Partially Observed Time Series AAAI 2019 Multi-Stage Pathological Image Classification Using Semantic Segmentation ICCV 2019 Kernel Approximation via Empirical Orthogonal Decomposition for Unsupervised Feature Learning CVPR 2016 Common Subspace for Model and Similarity: Phrase Learning for Caption Generation From Images ICCV 2015 Probabilistic Partial Canonical Correlation Analysis ICML 2014