AI Agent

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models

Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan

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

Comments Findings of ACL2023

Scalable Modular Synthetic Data Generation for Advancing Aerial Autonomy

Mehrnaz Sabet, Praveen Palanisamy, Sakshi Mishra

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

Comments 25 pages, 14 figures

A Methodology and Software Architecture to Support Explainability-by-Design

Trung Dong Huynh, Niko Tsakalakis, Ayah Helal, Sophie Stalla-Bourdillon, Luc Moreau

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

DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade

Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao

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

Comments work in progress. The first three authors contribute equally

Bayesian Reinforcement Learning with Limited Cognitive Load

Dilip Arumugam, Mark K. Ho, Noah D. Goodman, Benjamin Van Roy

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

Pelphix: Surgical Phase Recognition from X-ray Images in Percutaneous Pelvic Fixation

Benjamin D. Killeen, Han Zhang, Jan Mangulabnan, Mehran Armand, Russel H. Taylor, Greg Osgood, Mathias Unberath

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

Constraining Representations Yields Models That Know What They Don't Know

Joao Monteiro, Pau Rodriguez, Pierre-Andre Noel, Issam Laradji, David Vazquez

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

Comments CR version published at ICLR 2023

Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective

Nijat Mehdiyev, Maxim Majlatow, Peter Fettke

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

From Natural Language to Simulations: Applying GPT-3 Codex to Automate Simulation Modeling of Logistics Systems

Ilya Jackson, Maria Jesus Saenz

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

Deep Generative Model and Its Applications in Efficient Wireless Network Management: A Tutorial and Case Study

Yinqiu Liu, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Abbas Jamalipour

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

Comments 8 pages, 5 figures

GPT4MIA: Utilizing Generative Pre-trained Transformer (GPT-3) as A Plug-and-Play Transductive Model for Medical Image Analysis

Yizhe Zhang, Danny Z. Chen

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

Comments Version 3: Added appendix with more results and visualizations. Questions and suggestions are welcome

ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis

Yongsu Ahn, Yu-Ru Lin, Panpan Xu, Zeng Dai

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

Validation of a Hospital Digital Twin with Machine Learning

Muhammad Aurangzeb Ahmad, Vijay Chickarmane, Farinaz Sabz Ali Pour, Nima Shariari, Taposh Dutta Roy

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

Controlled Diversity with Preference : Towards Learning a Diverse Set of Desired Skills

Maxence Hussonnois, Thommen George Karimpanal, Santu Rana

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

Comments Accepted to AAMAS 2023

Journal ref AAMAS 2023

Graph Decision Transformer

Shengchao Hu, Li Shen, Ya Zhang, Dacheng Tao

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

Comments 14 pages

Double A3C: Deep Reinforcement Learning on OpenAI Gym Games

Yangxin Zhong, Jiajie He, Lingjie Kong

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

Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks

J. Mandel, J. Hirschi, A. K. Kochanski, A. Farguell, J. Haley, D. V. Mallia, B. Shaddy, A. A. Oberai, K. A. Hilburn

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

Comments 4 pages, 4 figures. Seminar on Numerical Analysis SNA'23, Ostrava, Czech Republic, January 23-27, 2023

Journal ref https://www.ugn.cas.cz/event/2023/sna pp. 52-55

Practical Knowledge Distillation: Using DNNs to Beat DNNs

Chung-Wei Lee, Pavlos Athanasios Apostolopulos, Igor L. Markov

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

Comments 11 pages, 1 figure, 17 tables

Reinforcement Learning for Block Decomposition of CAD Models

Benjamin C. DiPrete, Rao V. Garimella, Cristina Garcia Cardona, Navamita Ray

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

Comments AAAI-2022 Fall Symposium Series

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Tao Huang, Kai Chen, Bin Li, Yun-Hui Liu, Qi Dou

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

Comments Accepted to ICRA 2023

AutoDOViz: Human-Centered Automation for Decision Optimization

Daniel Karl I. Weidele, Shazia Afzal, Abel N. Valente, Cole Makuch, Owen Cornec, Long Vu, Dharmashankar Subramanian, Werner Geyer, Rahul Nair, Inge Vejsbjerg, Radu Marinescu, Paulito Palmes, Elizabeth M. Daly, Loraine Franke, Daniel Haehn

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

Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments

Gustavo Claudio Karl Couto, Eric Aislan Antonelo

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

Journal ref 2021 IEEE Symposium Series on Computational Intelligence (SSCI)

Towards Quantification of Assurance for Learning-enabled Components

Erfan Asaadi, Ewen Denney, Ganesh Pai

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

Comments 8 pp, 4 figures, Appears in the proceedings of EDCC 2019

MLGOPerf: An ML Guided Inliner to Optimize Performance

Amir H. Ashouri, Mostafa Elhoushi, Yuzhe Hua, Xiang Wang, Muhammad Asif Manzoor, Bryan Chan, Yaoqing Gao

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

Comments Version 2: Added the missing Table 6. The short version of this work is accepted at ACM/IEEE CASES 2022

SITTA: Single Image Texture Translation for Data Augmentation

Boyi Li, Yin Cui, Tsung-Yi Lin, Serge Belongie

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

Comments Learning from Limited and Imperfect Data (L2ID) Workshop, ECCV 2022

First Go, then Post-Explore: the Benefits of Post-Exploration in Intrinsic Motivation

Zhao Yang, Thomas M. Moerland, Mike Preuss, Aske Plaat

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

Comments arXiv admin note: substantial text overlap with arXiv:2203.16311

Unsupervised Learning of Neurosymbolic Encoders

Eric Zhan, Jennifer J. Sun, Ann Kennedy, Yisong Yue, Swarat Chaudhuri

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

Towards Improving Exploration in Self-Imitation Learning using Intrinsic Motivation

Alain Andres, Esther Villar-Rodriguez, Javier Del Ser

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

Comments 10 pages, 7 figures, 1 tables

Proactive Moderation of Online Discussions: Existing Practices and the Potential for Algorithmic Support

Charlotte Schluger, Jonathan P. Chang, Cristian Danescu-Niculescu-Mizil, Karen Levy

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

Comments 27 pages, 3 figures. More info at https://www.cs.cornell.edu/~cristian/Proactive_Moderation.html

Journal ref Proceedings of the ACM on Human-Computer Interaction, Volume 6, Issue CSCW2 (2022), Article 370 pp 1-27

An Empirical Study of Library Usage and Dependency in Deep Learning Frameworks

Mohamed Raed El aoun, Lionel Nganyewou Tidjon, Ben Rombaut, Foutse Khomh, Ahmed E. Hassan

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