Taro Makino - RankMe

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statements. CoRR Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha
2025	J	`jnl`	Supervised Contrastive Block Disentanglement. CoRR Taro Makino, Ji Won Park, Natasa Tagasovska, Takamasa Kudo, Paula Coelho, Jan-Christian Huetter, Heming Yao, Burkhard Hoeckendorf, Ana Carolina Leote, Stephen Ra, David Richmond, Kyunghyun Cho, Aviv Regev, Romain Lopez
2024	J	`jnl`	A Framework for Multi-modal Learning: Jointly Modeling Inter- & Intra-Modality Dependencies. CoRR Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
2024	A*	`conf`	Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning. NeurIPS Divyam Madaan, Taro Makino, Sumit Chopra, Kyunghyun Cho
2023	J	`jnl`	Detecting incidental correlation in multimodal learning via latent variable modeling. Trans. Mach. Learn. Res. Taro Makino, Yixin Wang, Krzysztof J. Geras, Kyunghyun Cho
2022	A*	`conf`	Generative multitask learning mitigates target-causing confounding. NeurIPS Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
2022	J	`jnl`	Generative multitask learning mitigates target-causing confounding. CoRR Taro Makino, Krzysztof J. Geras, Kyunghyun Cho
2021	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. npj Digit. Medicine Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Jan Witowski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2021	J	`jnl`	Reducing False-Positive Biopsies using Deep Neural Networks that Utilize both Local and Global Image Context of Screening Mammograms. J. Digit. Imaging Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	J	`jnl`	An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department. CoRR Farah E. Shamout, Yiqiu Shen, Nan Wu, Aakash Kaku, Jungkyu Park, Taro Makino, Stanislaw Jastrzebski, Duo Wang, Ben Zhang, Siddhant Dogra, Meng Cao, Narges Razavian, David Kudlowitz, Lea Azour, William Moore, Yvonne W. Lui, Yindalon Aphinyanaphongs, Carlos Fernandez-Granda, Krzysztof J. Geras
2020	J	`jnl`	Differences between human and machine perception in medical diagnosis. CoRR Taro Makino, Stanislaw Jastrzebski, Witold Oleszkiewicz, Celin Chacko, Robin Ehrenpreis, Naziya Samreen, Chloe Chhor, Eric Kim, Jiyon Lee, Kristine Pysarenko, Beatriu Reig, Hildegard Toth, Divya Awal, Linda Du, Alice Kim, James Park, Daniel K. Sodickson, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras
2020	J	`jnl`	Reducing false-positive biopsies with deep neural networks that utilize local and global information in screening mammograms. CoRR Nan Wu, Zhe Huang, Yiqiu Shen, Jungkyu Park, Jason Phang, Taro Makino, Sungheon Gene Kim, Kyunghyun Cho, Laura Heacock, Linda Moy, Krzysztof J. Geras
2020	J	`jnl`	Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras