AI Agent

Tipping Points of Evolving Epidemiological Networks: Machine Learning-Assisted, Data-Driven Effective Modeling

Nikolaos Evangelou, Tianqi Cui, Juan M. Bello-Rivas, Alexei Makeev, Ioannis G. Kevrekidis

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments 22 pages, 12 figures

Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting

Benjamin Yan, Ruochen Liu, David E. Kuo, Subathra Adithan, Eduardo Pontes Reis, Stephen Kwak, Vasantha Kumar Venugopal, Chloe P. O'Connell, Agustina Saenz, Pranav Rajpurkar, Michael Moor

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Accepted to Findings of EMNLP 2023

Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence

Pedro A. Moreno-Sanchez

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments arXiv admin note: text overlap with arXiv:2105.10368

Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings

Yi Ren, Samuel Lavoie, Mikhail Galkin, Danica J. Sutherland, Aaron Courville

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Active Inverse Reward Design

Sören Mindermann, Rohin Shah, Adam Gleave, Dylan Hadfield-Menell

专题命中 工作流自动化 ：AI agent(abstract)；分类 cs.AI、cs.LG

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Accepted to NeurIPS 2021

Automated Paper Screening for Clinical Reviews Using Large Language Models

Eddie Guo, Mehul Gupta, Jiawen Deng, Ye-Jean Park, Mike Paget, Christopher Naugler

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments 15 pages, 2 figures, 4 tables

Reinforcement Learning with a Terminator

Guy Tennenholtz, Nadav Merlis, Lior Shani, Shie Mannor, Uri Shalit, Gal Chechik, Assaf Hallak, Gal Dalal

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments NeurIPS 2022

Fast exploration and learning of latent graphs with aliased observations

Miguel Lazaro-Gredilla, Ishan Deshpande, Sivaramakrishnan Swaminathan, Meet Dave, Dileep George

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

End-to-end Lidar-Driven Reinforcement Learning for Autonomous Racing

Meraj Mammadov

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 6 pages

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science

Santiago Miret, Kin Long Kelvin Lee, Carmelo Gonzales, Marcel Nassar, Matthew Spellings

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Paper accompanying Open-Source Software from https://github.com/IntelLabs/matsciml

Journal ref Transactions on Machine Learning Research (2023)

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

Wentao Ye, Mingfeng Ou, Tianyi Li, Yipeng chen, Xuetao Ma, Yifan Yanggong, Sai Wu, Jie Fu, Gang Chen, Haobo Wang, Junbo Zhao

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision

Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.SE

Comments Under submission to EMSE

InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models

Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments Accepted at RecSys 2023. 11 pages, 2 pages of references. 8 figures with 2 tables

Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification

Saurabh Kumar, Daniel Fuchs, Klaus Spindler

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

MyCrunchGPT: A chatGPT assisted framework for scientific machine learning

Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.CL、cs.LG

Comments Updated title, abstract and added references

How Can Large Language Models Help Humans in Design and Manufacturing?

Liane Makatura, Michael Foshey, Bohan Wang, Felix HähnLein, Pingchuan Ma, Bolei Deng, Megan Tjandrasuwita, Andrew Spielberg, Crystal Elaine Owens, Peter Yichen Chen, Allan Zhao, Amy Zhu, Wil J Norton, Edward Gu, Joshua Jacob, Yifei Li, Adriana Schulz, Wojciech Matusik

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Project Florida: Federated Learning Made Easy

Daniel Madrigal Diaz, Andre Manoel, Jialei Chen, Nalin Singal, Robert Sim

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG、cs.SE

Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots

Advait Sarkar

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Comments Advait Sarkar. 2023. Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work Beyond Mechanised Plagiarism and Stochastic Parrots. In Annual Symposium on Human-Computer Interaction for Work 2023 (CHIWORK 2023), June 13-16, 2023, Oldenburg, Germany. ACM, New York, NY, USA, 17 pages

Hyperparameter Tuning Cookbook: A guide for scikit-learn, PyTorch, river, and spotPython

Thomas Bartz-Beielstein

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness

Pedro Sequeira, Melinda Gervasio

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments To be published in the Proceedings of the 1st World Conference on eXplainable Artificial Intelligence (xAI 2023). arXiv admin note: substantial text overlap with arXiv:2211.06376

MOPO-LSI: A User Guide

Yong Zheng, Kumar Neelotpal Shukla, Jasmine Xu, David, Wang, Michael O'Leary

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Blockchain Framework for Artificial Intelligence Computation

Jie You

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments 10 pages, 4 figures

Journal ref Software Impacts Volume 13, August 2022, 100314

SUPERNOVA: Automating Test Selection and Defect Prevention in AAA Video Games Using Risk Based Testing and Machine Learning

Alexander Senchenko, Naomi Patterson, Hamman Samuel, Dan Isper

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.LG、cs.SE

Comments ICST 2022 Industry Track Proceedings, 10 pages, 8 figures, 2 tables

Journal ref Verification and Validation (ICST), 2022, pp. 345-354

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

专题命中 工作流自动化 ：agent(abstract)；分类 cs.AI、cs.LG

Comments ICML 2023. Code: https://github.com/facebookresearch/ssorl/

You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction

Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Accepted in TMLR (https://openreview.net/forum?id=Nn71AdKyYH)

Deep Learning Models on CPUs: A Methodology for Efficient Training

Quchen Fu, Ramesh Chukka, Keith Achorn, Thomas Atta-fosu, Deepak R. Canchi, Zhongwei Teng, Jules White, Douglas C. Schmidt

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Journal ref Journal of Machine Learning Theory, Applications and Practice (2023)

PyTorch Hyperparameter Tuning - A Tutorial for spotPython

Thomas Bartz-Beielstein

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments Refers to spotPython version 0.2.15

Automated Annotation with Generative AI Requires Validation

Nicholas Pangakis, Samuel Wolken, Neil Fasching

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.CL

Assessing the Generalizability of a Performance Predictive Model

Ana Nikolikj, Gjorgjina Cenikj, Gordana Ispirova, Diederick Vermetten, Ryan Dieter Lang, Andries Petrus Engelbrecht, Carola Doerr, Peter Korošec, Tome Eftimov

专题命中 工作流自动化 ：workflow(abstract)；分类 cs.AI、cs.LG

Comments To appear at GECCO 2023