Xeno-learning: knowledge transfer across species in deep learning-based spectral image analysis
Jan Sellner, Alexander Studier-Fischer, Ahmad Bin Qasim, Silvia Seidlitz, Nicholas Schreck, Minu Tizabi, Manuel Wiesenfarth, Annette Kopp-Schneider, Janne Heinecke, Jule Brandt, Samuel Knödler, Caelan Max Haney, Gabriel Salg, Berkin Özdemir, Maximilian Dietrich, Maurice Stephan Michel, Felix Nickel, Karl-Friedrich Kowalewski, Lena Maier-Hein
机构
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Division of Intelligent Medical Systems (IMSY), German Cancer Research Center (DKFZ), Heidelberg, Germany(智能医疗系统部门,德国癌症研究中心(DKFZ),海德堡,德国)
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Helmholtz Information and Data Science School for Health, Heidelberg/Karlsruhe, Germany(健康信息与数据科学学院,海德堡/卡尔斯鲁厄,德国)
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Faculty of Mathematics and Computer Science, Heidelberg University, Heidelberg, Germany(数学与计算机科学学院,海德堡大学,海德堡,德国)
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National Center for Tumor Diseases (NCT), NCT Heidelberg, a partnership between DKFZ and university medical center Heidelberg(肿瘤疾病国家研究中心(NCT),海德堡NCT,德国癌症研究中心(DKFZ)与海德堡大学医学中心的合作机构)
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Department of General, Visceral, and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany(普通外科、 visceral外科及移植外科部门,海德堡大学医院,海德堡,德国)
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Department of Urology and Urosurgery, Medical Faculty of the University of Heidelberg, University Medical Center Mannheim, Mannheim, Germany(泌尿外科与泌尿外科部门,海德堡大学医学院,曼海姆大学医学中心,曼海姆,德国)
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Division of Intelligent Systems and Robotics in Urology (ISRU), German Cancer Research Center (DKFZ) Heidelberg, Heidelberg, Germany(泌尿外科智能系统与机器人部门(ISRU),德国癌症研究中心(DKFZ)海德堡,海德堡,德国)
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DKFZ Hector Cancer Institute at the University Medical Center Mannheim, Mannheim, Germany(德国癌症研究中心(DKFZ)曼海姆癌症研究所,曼海姆,德国)
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Division of Biostatistics, German Cancer Research Center (DKFZ), Heidelberg, Germany(生物统计学部门,德国癌症研究中心(DKFZ),海德堡,德国)
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Heidelberg University, Medic(海德堡大学,Medic)
专题命中
Agent评测
:agent(abstract);分类 cs.AI、cs.LG
CommentsJan Sellner and Alexander Studier-Fischer contributed equally to this work
机构
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Computer Engineering Department, Sharif University of Technology(沙斐大学计算机工程系)
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College of Interdisciplinary Science and Technology, University of Tehran(德黑兰大学跨学科科学与技术学院)
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Computer Engineering Department, K.N. Toosi University of Technology(技术学院计算机工程系)
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Qatar Computing Research Institute(卡塔尔计算研究院)
MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks
Suhana Bedi, Hejie Cui, Miguel Fuentes, Alyssa Unell, Michael Wornow, Juan M. Banda, Nikesh Kotecha, Timothy Keyes, Yifan Mai, Mert Oez, Hao Qiu, Shrey Jain, Leonardo Schettini, Mehr Kashyap, Jason Alan Fries, Akshay Swaminathan, Philip Chung, Fateme Nateghi, Asad Aali, Ashwin Nayak, Shivam Vedak, Sneha S. Jain, Birju Patel, Oluseyi Fayanju, Shreya Shah, Ethan Goh, Dong-han Yao, Brian Soetikno, Eduardo Reis, Sergios Gatidis, Vasu Divi, Robson Capasso, Rachna Saralkar, Chia-Chun Chiang, Jenelle Jindal, Tho Pham, Faraz Ghoddusi, Steven Lin, Albert S. Chiou, Christy Hong, Mohana Roy, Michael F. Gensheimer, Hinesh Patel, Kevin Schulman, Dev Dash, Danton Char, Lance Downing, Francois Grolleau, Kameron Black, Bethel Mieso, Aydin Zahedivash, Wen-wai Yim, Harshita Sharma, Tony Lee, Hannah Kirsch, Jennifer Lee, Nerissa Ambers, Carlene Lugtu, Aditya Sharma, Bilal Mawji, Alex Alekseyev, Vicky Zhou, Vikas Kakkar, Jarrod Helzer, Anurang Revri, Yair Bannett, Roxana Daneshjou, Jonathan Chen, Emily Alsentzer, Keith Morse, Nirmal Ravi, Nima Aghaeepour, Vanessa Kennedy, Akshay Chaudhari, Thomas Wang, Sanmi Koyejo, Matthew P. Lungren, Eric Horvitz, Percy Liang, Mike Pfeffer, Nigam H. Shah
机构
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Stanford University School of Medicine(斯坦福大学医学院)
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Stanford Health Care(斯坦福健康系统)
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Center for Research on Foundation Models (CRFM) & Department of Computer Science(基础模型研究中心(CRFM)及计算机科学系)
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Microsoft Corporation(微软公司)
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Stanford Institute for Human-Centered AI(斯坦福大学人本人工智能研究所)
机构
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Singapore-MIT Alliance for Research and Technology(新加坡-麻省理工联合研究技术联盟)
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Faculty of ISEE, Kyushu University(九州大学信息科学系)
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Department of Computer Science, National University of Singapore(新加坡国立大学计算机科学系)
专题命中
Agent评测
:agent(abstract);分类 cs.AI、cs.LG
CommentsThis paper proposes a contextual bandit algorithm that prevents strategic agents from misreporting while having approximate incentive compatibility and a sub-linear regret guarantee
AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge
Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang
机构
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Nanyang Technological University(南洋理工大学)
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University of California, Santa Barbara(加州大学圣芭芭拉分校)
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National University of Singapore(新加坡国立大学)
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Shanghai Jiao Tong University(上海交通大学)
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University of Arizona(亚利桑那大学)
机构
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Singapore-MIT Alliance for Research and Technology(新加坡-麻省理工联合研究技术联盟)
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Faculty of ISEE, Kyushu University(九州大学信息科学与工程学院)
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Department of Computer Science, National University of Singapore(新加坡国立大学计算机科学系)
专题命中
Agent评测
:agent(abstract);分类 cs.AI、cs.LG
CommentsWe propose a contextual bandit algorithm for online fair division problems involving multiple agents and a large number of items, each with only a few copies
Exploratory Diffusion Model for Unsupervised Reinforcement Learning
Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu
机构
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Department of Computer Science & Technology, Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University(计算机科学与技术系、人工智能研究院、BNRist中心、清华-博世联合机器学习中心、THBI实验室、清华大学)