Machine Learning

Authors and titles for cs.LG in Mar 2023, skipping first 75

[76]  arXiv:2303.01021 [pdf, other]

Title: CADeSH: Collaborative Anomaly Detection for Smart Homes

Authors: Yair Meidan, Dan Avraham, Hanan Libhaber, Asaf Shabtai

Comments: in IEEE Internet of Things Journal, 2022

Subjects: Machine Learning (cs.LG)

[77]  arXiv:2303.01028 [pdf, other]

Title: Specformer: Spectral Graph Neural Networks Meet Transformers

Authors: Deyu Bo, Chuan Shi, Lele Wang, Renjie Liao

Comments: ICLR 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Social and Information Networks (cs.SI)

[78]  arXiv:2303.01030 [pdf, other]

Title: Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks

Authors: Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay

Subjects: Machine Learning (cs.LG)

[79]  arXiv:2303.01034 [pdf, other]

Title: Multi-Task Self-Supervised Time-Series Representation Learning

Authors: Heejeong Choi, Pilsung Kang

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

[80]  arXiv:2303.01042 [pdf, other]

Title: Reinforcement Learning Guided Multi-Objective Exam Paper Generation

Authors: Yuhu Shang, Xuexiong Luo, Lihong Wang, Hao Peng, Xiankun Zhang, Yimeng Ren, Kun Liang

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

[81]  arXiv:2303.01052 [pdf, other]

Title: Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression

Authors: Junho Kim, Byung-Kwan Lee, Yong Man Ro

Comments: Accepted in CVPR 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Methodology (stat.ME)

[82]  arXiv:2303.01055 [pdf, other]

Title: Physics-informed neural networks for solving forward and inverse problems in complex beam systems

Authors: Taniya Kapoor, Hongrui Wang, Alfredo Nunez, Rolf Dollevoet

Journal-ref: IEEE Transactions on Neural Networks and Learning Systems, 2023

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA)

[83]  arXiv:2303.01076 [pdf, other]

Title: Hallucinated Adversarial Control for Conservative Offline Policy Evaluation

Authors: Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause

Comments: Conference on Uncertainty in Artificial Intelligence (UAI) 2023, first three authors contributed equally

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

[84]  arXiv:2303.01082 [pdf, other]

Title: GBMST: An Efficient Minimum Spanning Tree Clustering Based on Granular-Ball Computing

Authors: Jiang Xie, Shuyin Xia, Guoyin Wang, Xinbo Gao

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

[85]  arXiv:2303.01092 [pdf, ps, other]

Title: ArCL: Enhancing Contrastive Learning with Augmentation-Robust Representations

Authors: Xuyang Zhao, Tianqi Du, Yisen Wang, Jun Yao, Weiran Huang

Comments: Accepted by ICLR 2023

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

[86]  arXiv:2303.01135 [pdf, ps, other]

Title: Tight Risk Bounds for Gradient Descent on Separable Data

Authors: Matan Schliserman, Tomer Koren

Subjects: Machine Learning (cs.LG)

[87]  arXiv:2303.01141 [pdf, other]

Title: DeepSaDe: Learning Neural Networks that Guarantee Domain Constraint Satisfaction

Authors: Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Comments: 13 pages

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

[88]  arXiv:2303.01158 [pdf, other]

Title: Iterative Circuit Repair Against Formal Specifications

Authors: Matthias Cosler, Frederik Schmitt, Christopher Hahn, Bernd Finkbeiner

Comments: To appear at ICLR'23

Subjects: Machine Learning (cs.LG); Logic in Computer Science (cs.LO)

[89]  arXiv:2303.01170 [pdf, other]

Title: Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning

Authors: Alberto Castagna, Ivana Dusparic

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

[90]  arXiv:2303.01179 [pdf, other]

Title: SHAP-IQ: Unified Approximation of any-order Shapley Interactions

Authors: Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki, Eyke Hüllermeier, Barbara Hammer

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

[91]  arXiv:2303.01181 [pdf, other]

Title: iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams

Authors: Maximilian Muschalik, Fabian Fumagalli, Barbara Hammer, Eyke Hüllermeier

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

[92]  arXiv:2303.01193 [pdf, other]

Title: Interpretable System Identification and Long-term Prediction on Time-Series Data

Authors: Xiaoyi Liu, Duxin Chen, Wenjia Wei, Xia Zhu, Wenwu Yu

Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Numerical Analysis (math.NA)

[93]  arXiv:2303.01201 [pdf, other]

Title: Average of Pruning: Improving Performance and Stability of Out-of-Distribution Detection

Authors: Zhen Cheng, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu

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

[94]  arXiv:2303.01213 [pdf, other]

Title: DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Authors: Victor Quétu, Enzo Tartaglione

Subjects: Machine Learning (cs.LG)

[95]  arXiv:2303.01215 [pdf, other]

Title: Why (and When) does Local SGD Generalize Better than SGD?

Authors: Xinran Gu, Kaifeng Lyu, Longbo Huang, Sanjeev Arora

Comments: Published as a conference paper at ICLR 2023

Subjects: Machine Learning (cs.LG)

[96]  arXiv:2303.01220 [pdf, ps, other]

Title: Evaluation of drain, a deep-learning approach to rain retrieval from gpm passive microwave radiometer

Authors: Nicolas Viltard, Vibolroth Sambath, Pierre Lepetit, Audrey Martini, Laurent Barthès, Cécile Mallet

Journal-ref: IEEE Transactions on Geoscience and Remote Sensing, In press

Subjects: Machine Learning (cs.LG)

[97]  arXiv:2303.01240 [pdf, ps, other]

Title: The Point to Which Soft Actor-Critic Converges

Authors: Jianfei Ma

Subjects: Machine Learning (cs.LG)

[98]  arXiv:2303.01243 [pdf, other]

Title: Poster: Sponge ML Model Attacks of Mobile Apps

Authors: Souvik Paul, Nicolas Kourtellis

Comments: 2 pages, 6 figures. Proceedings of the 24th International Workshop on Mobile Computing Systems and Applications (HotMobile). Feb. 2023

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

[99]  arXiv:2303.01262 [pdf, other]

Title: Subset-Based Instance Optimality in Private Estimation

Authors: Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh

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

[100]  arXiv:2303.01265 [pdf, other]

Title: Steering Graph Neural Networks with Pinning Control

Authors: Acong Zhang, Ping Li, Guanrong Chen

Comments: 12 pages

Subjects: Machine Learning (cs.LG)

[101]  arXiv:2303.01272 [pdf, other]

Title: Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series

Authors: Sondre Sørbø, Massimiliano Ruocco

Comments: 29 pages, 28 figures and tables

Subjects: Machine Learning (cs.LG)

[102]  arXiv:2303.01289 [pdf, other]

Title: Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning

Authors: Rundong Luo, Yifei Wang, Yisen Wang

Comments: ICLR 2023

Subjects: Machine Learning (cs.LG)

[103]  arXiv:2303.01295 [pdf, other]

Title: Iterative Assessment and Improvement of DNN Operational Accuracy

Authors: Antonio Guerriero, Roberto Pietrantuono, Stefano Russo

Comments: Paper accepted at 45th International Conference on Software Engineering (ICSE'23 NIER), May 2023

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Software Engineering (cs.SE)

[104]  arXiv:2303.01335 [pdf, other]

Title: First-order ANIL learns linear representations despite misspecified latent dimension

Authors: Oğuz Kaan Yuksel, Etienne Boursier, Nicolas Flammarion

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

[105]  arXiv:2303.01372 [pdf, other]

Title: High-dimensional analysis of double descent for linear regression with random projections

Authors: Francis Bach (SIERRA)

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

[106]  arXiv:2303.01384 [pdf, other]

Title: DAVA: Disentangling Adversarial Variational Autoencoder

Authors: Benjamin Estermann, Roger Wattenhofer

Comments: Published as a conference paper at ICLR 2023

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

[107]  arXiv:2303.01388 [pdf, other]

Title: Reinforced Labels: Multi-Agent Deep Reinforcement Learning for Point-Feature Label Placement

Authors: Petr Bobák, Ladislav Čmolík, Martin Čadík

Subjects: Machine Learning (cs.LG)

[108]  arXiv:2303.01391 [pdf, other]

Title: The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting

Authors: Hongyao Tang, Min Zhang, Jianye Hao

Comments: Rudimentary version. Work in progress

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

[109]  arXiv:2303.01412 [pdf, other]

Title: Hyperparameter Tuning and Model Evaluation in Causal Effect Estimation

Authors: Damian Machlanski, Spyridon Samothrakis, Paul Clarke

Comments: 36 pages, 3 figures

Subjects: Machine Learning (cs.LG); Methodology (stat.ME)

[110]  arXiv:2303.01429 [pdf, other]

Title: Optimal transfer protocol by incremental layer defrosting

Authors: Federica Gerace, Diego Doimo, Stefano Sarao Mannelli, Luca Saglietti, Alessandro Laio

Subjects: Machine Learning (cs.LG)

[111]  arXiv:2303.01433 [pdf, other]

Title: Do Machine Learning Models Learn Statistical Rules Inferred from Data?

Authors: Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong

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

[112]  arXiv:2303.01456 [pdf, ps, other]

Title: The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks

Authors: Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro

Comments: 42 pages; NeurIPS 2023 camera ready

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

[113]  arXiv:2303.01462 [pdf, ps, other]

Title: Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization

Authors: Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro

Comments: 53 pages

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

[114]  arXiv:2303.01464 [pdf, ps, other]

Title: Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation

Authors: Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour

Subjects: Machine Learning (cs.LG)

[115]  arXiv:2303.01469 [pdf, other]

Title: Consistency Models

Authors: Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever

Comments: ICML 2023

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

[116]  arXiv:2303.01475 [pdf, other]

Title: Over-training with Mixup May Hurt Generalization

Authors: Zixuan Liu, Ziqiao Wang, Hongyu Guo, Yongyi Mao

Comments: Accepted to ICLR 2023

Subjects: Machine Learning (cs.LG)

[117]  arXiv:2303.01486 [pdf, other]

Title: Understanding plasticity in neural networks

Authors: Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney

Comments: Accepted to ICML 2023 (oral presentation)

Subjects: Machine Learning (cs.LG)

[118]  arXiv:2303.01500 [pdf, other]

Title: Dropout Reduces Underfitting

Authors: Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell

Comments: ICML 2023

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

[119]  arXiv:2303.01504 [pdf, other]

Title: Backdoor for Debias: Mitigating Model Bias with Backdoor Attack-based Artificial Bias

Authors: Shangxi Wu, Qiuyang He, Fangzhao Wu, Jitao Sang, Yaowei Wang, Changsheng Xu

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

[120]  arXiv:2303.01505 [pdf, other]

Title: Ternary Quantization: A Survey

Authors: Dan Liu, Xue Liu

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

[121]  arXiv:2303.01506 [pdf, other]

Title: Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions

Authors: Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang

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

[122]  arXiv:2303.01509 [pdf, ps, other]

Title: EPAM: A Predictive Energy Model for Mobile AI

Authors: Anik Mallik, Haoxin Wang, Jiang Xie, Dawei Chen, Kyungtae Han

Comments: Accepted in IEEE International Conference on Communications (ICC); 28 May - 01 June 2023; Rome, Italy; six pages, seven figures, two tables

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

[123]  arXiv:2303.01510 [pdf, other]

Title: INO at Factify 2: Structure Coherence based Multi-Modal Fact Verification

Authors: Yinuo Zhang, Zhulin Tao, Xi Wang, Tongyue Wang

Comments: AAAI-23 DeFactify 2 Workshop (2nd Prize)

Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)

[124]  arXiv:2303.01513 [pdf, ps, other]

Title: Safe AI for health and beyond -- Monitoring to transform a health service

Authors: Mahed Abroshan, Michael Burkhart, Oscar Giles, Sam Greenbury, Zoe Kourtzi, Jack Roberts, Mihaela van der Schaar, Jannetta S Steyn, Alan Wilson, May Yong

Comments: 12 pages, 3 figures

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

[125]  arXiv:2303.01538 [pdf, other]

Title: Feature Perturbation Augmentation for Reliable Evaluation of Importance Estimators in Neural Networks

Authors: Lennart Brocki, Neo Christopher Chung

Journal-ref: ICLR 2023 Workshop on Trustworthy ML; Full Paper in Pattern Recognition Letters

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