Yusuke Iwasawa
Orcid: 0000-0002-1321-2622
According to our database1,
Yusuke Iwasawa
authored at least 63 papers
between 2011 and 2024.
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Bibliography
2024
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning.
CoRR, 2024
On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Self-Recovery Prompting: Promptable General Purpose Service Robot System with Foundation Models and Self-Recovery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
GenDOM: Generalizable One-shot Deformable Object Manipulation with Parameter-Aware Policy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Paste and Harmonize via Denoising: Subject-Driven Image Editing with Frozen Pre-Trained Diffusion Model.
Proceedings of the IEEE International Conference on Acoustics, 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 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
Suspicion-Agent: Playing Imperfect Information Games with Theory of Mind Aware GPT-4.
CoRR, 2023
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
World robot challenge 2020 - partner robot: a data-driven approach for room tidying with mobile manipulator.
Adv. Robotics, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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
Mach. Learn., 2021
CoRR, 2021
CoRR, 2021
Wheelchair Behavior Recognition for Visualizing Sidewalk Accessibility by Deep Neural Networks.
CoRR, 2021
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
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
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
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 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
Proceedings of the 6th International Conference on Learning Representations, 2018
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
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018
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
Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility, 2011