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ORCIDYuu Jinnai
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2020 – today
- 2024
[c15]Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang:
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. ACL (Findings) 2024: 8494-8525- [c14]Yuu Jinnai, Kaito Ariu:
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. ACL (Findings) 2024: 8547-8566 - [c13]Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe:
Model-Based Minimum Bayes Risk Decoding for Text Generation. ICML 2024 - [c12]Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai:
On the True Distribution Approximation of Minimum Bayes-Risk Decoding. NAACL (Short Papers) 2024: 459-468 - [i17]Yuu Jinnai, Kaito Ariu
:
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. CoRR abs/2401.02749 (2024) - [i16]Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang:
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. CoRR abs/2401.05054 (2024) - [i15]Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai:
On the True Distribution Approximation of Minimum Bayes-Risk Decoding. CoRR abs/2404.00752 (2024) - [i14]Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe:
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR abs/2404.01054 (2024) - [i13]Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu:
Filtered Direct Preference Optimization. CoRR abs/2404.13846 (2024) - [i12]Yuu Jinnai, Ukyo Honda:
Annotation-Efficient Preference Optimization for Language Model Alignment. CoRR abs/2405.13541 (2024) - [i11]Yuu Jinnai:
Does Cross-Cultural Alignment Change the Commonsense Morality of Language Models? CoRR abs/2406.16316 (2024) - 2023
- [i10]Takumi Noda, Yuu Jinnai, Naoki Tomii, Takashi Azuma:
Blind Signal Separation for Fast Ultrasound Computed Tomography. CoRR abs/2304.14424 (2023) - [i9]Yuu Jinnai, Tetsuro Morimura, Ukyo Honda:
On the Depth between Beam Search and Exhaustive Search for Text Generation. CoRR abs/2308.13696 (2023) - [i8]Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe:
Model-Based Minimum Bayes Risk Decoding. CoRR abs/2311.05263 (2023) - 2021
- [c11]Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. AAAI 2021: 8270-8278 - 2020
- [c10]Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca:
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. AAAI 2020: 9983-9991 - [c9]Yuu Jinnai, Jee Won Park, Marlos C. Machado, George Dimitri Konidaris:
Exploration in Reinforcement Learning with Deep Covering Options. ICLR 2020 - [i7]Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. CoRR abs/2001.05411 (2020)
2010 – 2019
- 2019
- [c8]David Abel, Dilip Arumugam, Kavosh Asadi, Yuu Jinnai, Michael L. Littman, Lawson L. S. Wong:
State Abstraction as Compression in Apprenticeship Learning. AAAI 2019: 3134-3142 - [c7]Yuu Jinnai, David Abel, David Ellis Hershkowitz, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. ICML 2019: 3120-3129 - [c6]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. ICML 2019: 3130-3139 - [i6]Yuu Jinnai, Jee Won Park, David Abel, George Dimitri Konidaris:
Discovering Options for Exploration by Minimizing Cover Time. CoRR abs/1903.00606 (2019) - [i5]Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca:
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR abs/1903.11059 (2019) - 2018
- [c5]David Abel, Yuu Jinnai, Yue (Sophie) Guo, George Dimitri Konidaris, Michael L. Littman:
Policy and Value Transfer in Lifelong Reinforcement Learning. ICML 2018: 20-29 - [p1]Alex Fukunaga, Adi Botea, Yuu Jinnai, Akihiro Kishimoto:
Parallel A* for State-Space Search. Handbook of Parallel Constraint Reasoning 2018: 419-455 - [i4]Linnan Wang, Yiyang Zhao, Yuu Jinnai:
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree Search. CoRR abs/1805.07440 (2018) - [i3]Yuu Jinnai, David Abel, Michael L. Littman, George Dimitri Konidaris:
Finding Options that Minimize Planning Time. CoRR abs/1810.07311 (2018) - 2017
- [j1]Yuu Jinnai, Alex Fukunaga:
On Hash-Based Work Distribution Methods for Parallel Best-First Search. J. Artif. Intell. Res. 60: 491-548 (2017) - [c4]Yuu Jinnai, Alex S. Fukunaga:
Learning to Prune Dominated Action Sequences in Online Black-Box Planning. AAAI 2017: 839-845 - [c3]Yuu Jinnai, Alex Fukunaga:
Learning to Avoid Dominated Action Sequences in Planning for Black-Box Domains. AAAI 2017: 4943-4944 - [i2]Yuu Jinnai, Alex Fukunaga:
On Hash-Based Work Distribution Methods for Parallel Best-First Search. CoRR abs/1706.03254 (2017) - [i1]Alex Fukunaga, Adi Botea, Yuu Jinnai, Akihiro Kishimoto:
A Survey of Parallel A. CoRR abs/1708.05296 (2017) - 2016
- [c2]Yuu Jinnai, Alex Fukunaga:
Abstract Zobrist Hashing: An Efficient Work Distribution Method for Parallel Best-First Search. AAAI 2016: 717-723 - [c1]Yuu Jinnai, Alex S. Fukunaga:
Automated Creation of Efficient Work Distribution Functions for Parallel Best-First Search. ICAPS 2016: 184-192
Coauthor Index
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last updated on 2024-09-26 01:54 CEST by the dblp team
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