Yusuke Iwasawa

Orcid: 0000-0002-1321-2622

According to our database1, Yusuke Iwasawa authored at least 57 papers between 2011 and 2024.

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Bibliography

2024
Interpreting Grokked Transformers in Complex Modular Arithmetic.
CoRR, 2024

2023
Robustifying Vision Transformer Without Retraining from Scratch Using Attention-Based Test-Time Adaptation.
New Gener. Comput., March, 2023

Deep Learning Pipeline for Spotting Macro- and Micro-expressions in Long Video Sequences Based on Action Units and Optical Flow.
Pattern Recognit. Lett., January, 2023

Grokking Tickets: Lottery Tickets Accelerate Grokking.
CoRR, 2023

TRAIL Team Description Paper for RoboCup@Home 2023.
CoRR, 2023

Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4.
CoRR, 2023

Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery.
CoRR, 2023

GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy.
CoRR, 2023

GenORM: Generalizable One-shot Rope Manipulation with Parameter-Aware Policy.
CoRR, 2023

Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model.
CoRR, 2023

Multimodal Sequential Generative Models for Semi-Supervised Language Instruction Following.
CoRR, 2023

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization.
Proceedings of the International Conference on Machine Learning, 2023

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Detecting Object-Level Scene Changes in Images with Viewpoint Differences Using Graph Matching.
Remote. Sens., 2022

Face-mask-aware Facial Expression Recognition based on Face Parsing and Vision Transformer.
Pattern Recognit. Lett., 2022

Realtime Fewshot Portrait Stylization Based On Geometric Alignment.
CoRR, 2022

World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator.
Adv. Robotics, 2022

Langevin Autoencoders for Learning Deep Latent Variable Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Large Language Models are Zero-Shot Reasoners.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Graph-based knowledge tracing: Modeling student proficiency using graph neural networks.
Web Intell., 2021

Information-theoretic regularization for learning global features by sequential VAE.
Mach. Learn., 2021

Amortized Prompt: Lightweight Fine-Tuning for CLIP in Domain Generalization.
CoRR, 2021

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-RL.
CoRR, 2021

Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks.
CoRR, 2021

Test-Time Classifier Adjustment Module for Model-Agnostic Domain Generalization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating Disentangled Belief about Hidden State and Hidden Task for Meta-Reinforcement Learning.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Group Equivariant Conditional Neural Processes.
Proceedings of the 9th International Conference on Learning Representations, 2021

Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

2020
Weakly Supervised Learning for Evaluating Road Surface Condition from Wheelchair Driving Data.
Inf., 2020

Modeling Task Uncertainty for Safe Meta-Imitation Learning.
Frontiers Robotics AI, 2020

Character-level Japanese Text Generation with Attention Mechanism for Chest Radiography Diagnosis.
CoRR, 2020

Visualizing Road Condition Information by Applying the AutoEncoder to Wheelchair Sensing Data for Road Barrier Assessment.
Proceedings of the Advances in Artificial Intelligence, 2020

Stabilizing Adversarial Invariance Induction from Divergence Minimization Perspective.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019
Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies.
Inf., 2019

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network.
Proceedings of the 2019 IEEE/WIC/ACM International Conference on Web Intelligence, 2019

Adversarial Invariant Feature Learning with Accuracy Constraint for Domain Generalization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

UVTON: UV Mapping to Consider the 3D Structure of a Human in Image-Based Virtual Try-On Network.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder.
Proceedings of the Interspeech 2018, 2018

Expert-based reward function training: the novel method to train sequence generators.
Proceedings of the 6th International Conference on Learning Representations, 2018

Extending Robust Adversarial Reinforcement Learning Considering Adaptation and Diversity.
Proceedings of the 6th International Conference on Learning Representations, 2018

Neuron as an Agent.
Proceedings of the 6th International Conference on Learning Representations, 2018

Censoring Representations with Multiple-Adversaries over Random Subspaces.
Proceedings of the 6th International Conference on Learning Representations, 2018

Designing Efficient Neural Attention Systems Towards Achieving Human-level Sharp Vision.
Proceedings of the 6th International Conference on Learning Representations, 2018

End-to-End Deep Knowledge Tracing by Learning Binary Question-Embedding.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Virtual Reality as a User-friendly Interface for Learning from Demonstrations.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

2017
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Combining Human Action Sensing of Wheelchair Users and Machine Learning for Autonomous Accessibility Data Collection.
IEICE Trans. Inf. Syst., 2016

2015
An estimation of wheelchair user's muscle fatigue by accelerometers on smart devices.
Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, 2015

Toward an Automatic Road Accessibility Information Collecting and Sharing Based on Human Behavior Sensing Technologies of Wheelchair Users.
Proceedings of the 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2015)/ The 5th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH-2015)/ Affiliated Workshops, 2015

Road Sensing: Personal Sensing and Machine Learning for Development of Large Scale Accessibility Map.
Proceedings of the 17th International ACM SIGACCESS Conference on Computers & Accessibility, 2015

2013
Spatiotemporal Life-Log Mining of Wheelchair Users' Driving for Visualizing Accessibility of Roads.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Detecting Exceptional Actions Using Wearable Sensors' Data for Developing Life-Log Database of Visually Impaired People.
Proceedings of the Data Driven Wellness: From Self-Tracking to Behavior Change, 2013

2012
Life-Logging of Wheelchair Driving on Web Maps for Visualizing Potential Accidents and Incidents.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

2011
Do multi-touch screens help visually impaired people to recognize graphics.
Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, 2011


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