Yutaro Yamada

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Supervised Feature Selection

Top Venues

Int. J. Comput. Assist. Radiol. Surg.

Publications

Yutaro Yamada, Jacinto Colan, Ana Davila, Yasuhisa Hasegawa
Task segmentation based on transition state clustering for surgical robot assistance. CoRR (2024)
Yutaro Yamada, Yihan Bao, Andrew Kyle Lampinen, Jungo Kasai, Ilker Yildirim
Evaluating Spatial Understanding of Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)
Yutaro Yamada, Kento Uchida, Shinichi Shirakawa
How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions. GECCO Companion (2024)
Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi
L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects. CoRR (2024)
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) (2024)
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) (2024)
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
Support recovery with Projected Stochastic Gates: Theory and application for linear models. Signal Process. 213 (2023)
Jungo Kasai, Yuhei Kasai, Keisuke Sakaguchi, Yutaro Yamada, Dragomir Radev
Evaluating GPT-4 and ChatGPT on Japanese Medical Licensing Examinations. CoRR (2023)
Yingtian Tang, Yutaro Yamada, Yoyo Zhang, Ilker Yildirim
When are Lemons Purple? The Concept Association Bias of Vision-Language Models. EMNLP (2023)
Yutaro Yamada, Yihan Bao, Andrew K. Lampinen, Jungo Kasai, Ilker Yildirim
Evaluating Spatial Understanding of Large Language Models. CoRR (2023)
Machel Reid, Yutaro Yamada, Shixiang Shane Gu
Can Wikipedia Help Offline Reinforcement Learning? CoRR (2022)
Yutaro Yamada, Mayu Otani
Does Robustness on ImageNet Transfer to Downstream Tasks? CVPR (2022)
Yutaro Yamada, Mayu Otani
Does Robustness on ImageNet Transfer to Downstream Tasks? CoRR (2022)
Yutaro Yamada, Yingtian Tang, Ilker Yildirim
When are Lemons Purple? The Concept Association Bias of CLIP. CoRR (2022)
Soham Jana, Henry Li, Yutaro Yamada, Ofir Lindenbaum
Support Recovery with Stochastic Gates: Theory and Application for Linear Models. CoRR (2021)
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
Feature Selection using Stochastic Gates. ICML (2020)
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 (2018)
Uri Shaham, Yutaro Yamada, Sahand Negahban
Understanding adversarial training: Increasing local stability of supervised models through robust optimization. Neurocomputing 307 (2018)
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban, Yuval Kluger
Deep supervised feature selection using Stochastic Gates. CoRR (2018)
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)
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)
Uri Shaham, Yutaro Yamada, Sahand Negahban
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization. CoRR (2015)
Yutaro Yamada, Kento Uchida, Shota Saito, Shinichi Shirakawa
Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions. EvoApplications@EvoStar (2013)