Machine Learning

Authors and titles for cs.LG in Apr 2023

[1]  arXiv:2304.00010 [pdf, other]

Title: Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias

Authors: Zihan Liu, Yun Luo, Lirong Wu, Zicheng Liu, Stan Z. Li

Journal-ref: 36th Conference on Neural Information Processing Systems (NeurIPS 2022)

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR)

[2]  arXiv:2304.00012 [pdf, other]

Title: Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant

Authors: Sirui Ding, Qiaoyu Tan, Chia-yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu

Comments: AMIA Annual Symposium 2023 Best Student Paper Finalist

Subjects: Machine Learning (cs.LG); Computers and Society (cs.CY)

[3]  arXiv:2304.00015 [pdf, other]

Title: DRIP: Deep Regularizers for Inverse Problems

Authors: Moshe Eliasof, Eldad Haber, Eran Treister

Subjects: Machine Learning (cs.LG); Computational Engineering, Finance, and Science (cs.CE)

[4]  arXiv:2304.00020 [pdf, ps, other]

Title: SemiMemes: A Semi-supervised Learning Approach for Multimodal Memes Analysis

Authors: Pham Thai Hoang Tung, Nguyen Tan Viet, Ngo Tien Anh, Phan Duy Hung

Comments: ICCCI 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Computer Vision and Pattern Recognition (cs.CV)

[5]  arXiv:2304.00026 [pdf, ps, other]

Title: Understanding Reinforcement Learning Algorithms: The Progress from Basic Q-learning to Proximal Policy Optimization

Authors: Mohamed-Amine Chadi, Hajar Mousannif

Subjects: Machine Learning (cs.LG)

[6]  arXiv:2304.00040 [pdf, ps, other]

Title: A robust deep learning-based damage identification approach for SHM considering missing data

Authors: Fan Deng, Xiaoming Tao, Pengxiang Wei, Shiyin Wei

Subjects: Machine Learning (cs.LG)

[7]  arXiv:2304.00046 [pdf, other]

Title: Accelerating exploration and representation learning with offline pre-training

Authors: Bogdan Mazoure, Jake Bruce, Doina Precup, Rob Fergus, Ankit Anand

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[8]  arXiv:2304.00047 [pdf, other]

Title: PEOPL: Characterizing Privately Encoded Open Datasets with Public Labels

Authors: Homa Esfahanizadeh, Adam Yala, Rafael G. L. D'Oliveira, Andrea J. D. Jaba, Victor Quach, Ken R. Duffy, Tommi S. Jaakkola, Vinod Vaikuntanathan, Manya Ghobadi, Regina Barzilay, Muriel Médard

Comments: Submitted to IEEE Transactions on Information Forensics and Security

Subjects: Machine Learning (cs.LG); Cryptography and Security (cs.CR); Information Theory (cs.IT)

[9]  arXiv:2304.00061 [pdf, other]

Title: To be Robust and to be Fair: Aligning Fairness with Robustness

Authors: Junyi Chai, Xiaoqian Wang

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[10]  arXiv:2304.00062 [pdf, other]

Title: A Physics-Informed Machine Learning for Electricity Markets: A NYISO Case Study

Authors: Robert Ferrando, Laurent Pagnier, Robert Mieth, Zhirui Liang, Yury Dvorkin, Daniel Bienstock, Michael Chertkov

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Optimization and Control (math.OC)

[11]  arXiv:2304.00133 [pdf, other]

Title: DeforestVis: Behavior Analysis of Machine Learning Models with Surrogate Decision Stumps

Authors: Angelos Chatzimparmpas, Rafael M. Martins, Alexandru C. Telea, Andreas Kerren

Comments: This manuscript is accepted for publication in Computer Graphics Forum (CGF)

Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC)

[12]  arXiv:2304.00146 [pdf, other]

Title: On the Relationships between Graph Neural Networks for the Simulation of Physical Systems and Classical Numerical Methods

Authors: Artur P. Toshev, Ludger Paehler, Andrea Panizza, Nikolaus A. Adams

Comments: 2nd AI4Science Workshop at the 39th International Conference on Machine Learning (ICML), 2022

Subjects: Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn)

[13]  arXiv:2304.00150 [pdf, other]

Title: E($3$) Equivariant Graph Neural Networks for Particle-Based Fluid Mechanics

Authors: Artur P. Toshev, Gianluca Galletti, Johannes Brandstetter, Stefan Adami, Nikolaus A. Adams

Comments: ICLR 2023 Workshop on Physics for Machine Learning

Subjects: Machine Learning (cs.LG); Fluid Dynamics (physics.flu-dyn)

[14]  arXiv:2304.00155 [pdf, other]

Title: Online Reinforcement Learning in Markov Decision Process Using Linear Programming

Authors: Vincent Leon, S. Rasoul Etesami

Journal-ref: 2023 62nd IEEE Conference on Decision and Control (CDC)

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Optimization and Control (math.OC)

[15]  arXiv:2304.00199 [pdf, other]

Title: Applications of No-Collision Transportation Maps in Manifold Learning

Authors: Elisa Negrini, Levon Nurbekyan

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV); Machine Learning (stat.ML)

[16]  arXiv:2304.00202 [pdf, other]

Title: Improving Fast Adversarial Training with Prior-Guided Knowledge

Authors: Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)

[17]  arXiv:2304.00219 [pdf, other]

Title: ConvBLS: An Effective and Efficient Incremental Convolutional Broad Learning System for Image Classification

Authors: Chunyu Lei, C. L. Philip Chen, Jifeng Guo, Tong Zhang

Subjects: Machine Learning (cs.LG)

[18]  arXiv:2304.00232 [pdf, other]

Title: Restarted Bayesian Online Change-point Detection for Non-Stationary Markov Decision Processes

Authors: Reda Alami, Mohammed Mahfoud, Eric Moulines

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)

[19]  arXiv:2304.00249 [pdf, ps, other]

Title: From Conception to Deployment: Intelligent Stroke Prediction Framework using Machine Learning and Performance Evaluation

Authors: Leila Ismail, Huned Materwala

Comments: Proceedings of IEEE International Conference on Omni-layer Intelligent Systems, 2022

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI)

[20]  arXiv:2304.00252 [pdf, other]

Title: Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning

Authors: Hao Chen, Chen Gong, Yizhe Wang, Xinwen Hou

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)

[21]  arXiv:2304.00285 [pdf, ps, other]

Title: Branch Identification in Passive Optical Networks using Machine Learning

Authors: khouloud Abdelli, Carsten Tropschug, Helmut Griesser, Sander Jansen, Stephan Pachnicke

Comments: Optical Fiber Communication Conference (OFC) 2023

Subjects: Machine Learning (cs.LG); Networking and Internet Architecture (cs.NI); Signal Processing (eess.SP)

[22]  arXiv:2304.00291 [pdf, ps, other]

Title: BioSequence2Vec: Efficient Embedding Generation For Biological Sequences

Authors: Sarwan Ali, Usama Sardar, Murray Patterson, Imdad Ullah Khan

Comments: Accepted to PAKDD 2023

Subjects: Machine Learning (cs.LG); Genomics (q-bio.GN)

[23]  arXiv:2304.00295 [pdf, other]

Title: Fair-CDA: Continuous and Directional Augmentation for Group Fairness

Authors: Rui Sun, Fengwei Zhou, Zhenhua Dong, Chuanlong Xie, Lanqing Hong, Jiawei Li, Rui Zhang, Zhen Li, Zhenguo Li

Comments: Accepted by AAAI-23

Subjects: Machine Learning (cs.LG)

[24]  arXiv:2304.00305 [pdf, other]

Title: Predictive Heterogeneity: Measures and Applications

Authors: Jiashuo Liu, Jiayun Wu, Bo Li, Peng Cui

Comments: 35 pages. Short version accepted at ICLR 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Theory (cs.IT)

[25]  arXiv:2304.00311 [pdf, ps, other]

Title: Medical Pathologies Prediction : Systematic Review and Proposed Approach

Authors: Chaimae Taoussi, Imad Hafidi, Abdelmoutalib Metrane

Subjects: Machine Learning (cs.LG); Human-Computer Interaction (cs.HC)