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ORCIDYutaro Yamada
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2020 – today
- 2024
[j5]Yutaro Yamada
, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa:
Multimodal semi-supervised learning for online recognition of multi-granularity surgical workflows. Int. J. Comput. Assist. Radiol. Surg. 19(6): 1075-1083 (2024)- [j4]Yutaro Yamada, Fred Weiying Zhang, Yuval Kluger, Ilker Yildirim:
Three-Dimensional Reconstruction Pre-Training as a Prior to Improve Robustness to Adversarial Attacks and Spurious Correlation. Entropy 26(3): 258 (2024) - [j3]Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim:
Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Yutaro Yamada, Kento Uchida, Shinichi Shirakawa:
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion 2024: 383-386 - [i12]Yutaro Yamada, Khyathi Raghavi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi:
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR abs/2402.09052 (2024) - [i11]Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa:
Task segmentation based on transition state clustering for surgical robot assistance. CoRR abs/2406.09990 (2024) - [i10]Jacinto Colan, Keisuke Sugita, Ana Davila, Yutaro Yamada, Yasuhisa Hasegawa:
Embedded Image-to-Image Translation for Efficient Sim-to-Real Transfer in Learning-based Robot-Assisted Soft Manipulation. CoRR abs/2409.10204 (2024) - 2023
- [j2]Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum:
Support recovery with Projected Stochastic Gates: Theory and application for linear models. Signal Process. 213: 109193 (2023) - [c6]Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim:
When are Lemons Purple? The Concept Association Bias of Vision-Language Models. EMNLP 2023: 14333-14348 - [c5]Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa:
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar 2023: 798-814 - [i9]Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev:
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR abs/2303.18027 (2023) - [i8]Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim:
Evaluating Spatial Understanding of Large Language Models. CoRR abs/2310.14540 (2023) - 2022
- [c4]Yutaro Yamada, Mayu Otani:
Does Robustness on ImageNet Transfer to Downstream Tasks? CVPR 2022: 9205-9214 - [i7]Machel Reid, Yutaro Yamada, Shixiang Shane Gu:
Can Wikipedia Help Offline Reinforcement Learning? CoRR abs/2201.12122 (2022) - [i6]Yutaro Yamada, Mayu Otani:
Does Robustness on ImageNet Transfer to Downstream Tasks? CoRR abs/2204.03934 (2022) - [i5]Yutaro Yamada, Yingtian Tang, Ilker Yildirim:
When are Lemons Purple? The Concept Association Bias of CLIP. CoRR abs/2212.12043 (2022) - 2021
- [i4]Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum:
Support Recovery with Stochastic Gates: Theory and Application for Linear Models. CoRR abs/2110.15960 (2021) - 2020
- [c3]Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger:
Feature Selection using Stochastic Gates. ICML 2020: 10648-10659
2010 – 2019
- 2018
- [j1]Uri Shaham, Yutaro Yamada, Sahand Negahban:
Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing 307: 195-204 (2018) - [i3]Uri Shaham, James Garritano, Yutaro Yamada, Ethan Weinberger, Alex Cloninger, Xiuyuan Cheng, Kelly P. Stanton, Yuval Kluger:
Defending against Adversarial Images using Basis Functions Transformations. CoRR abs/1803.10840 (2018) - [i2]Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger:
Deep supervised feature selection using Stochastic Gates. CoRR abs/1810.04247 (2018) - 2017
- [c2]Yutaro Yamada, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri, Masafumi Nishimura, Hiroshi Mineno:
A Deep-Learning-Based Method of Estimating Water Intake. COMPSAC (2) 2017: 96-101 - [c1]Yutaro Yamada, Masafumi Nishimura, Hiroshi Mineno, Takato Saito, Satoshi Kawasaki, Daizo Ikeda, Masaji Katagiri:
Deep learning-based water-intake estimation method using second half of swallowing sound. GCCE 2017: 1-2 - 2015
- [i1]Uri Shaham, Yutaro Yamada, Sahand Negahban:
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR abs/1511.05432 (2015)
Coauthor Index
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