Machine Learning

Authors and titles for cs.LG in Dec 2022

[1]  arXiv:2212.00013 [pdf, ps, other]

Title: Autotuning PID control using Actor-Critic Deep Reinforcement Learning

Authors: Vivien van Veldhuizen

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

[2]  arXiv:2212.00015 [pdf, other]

Title: Scalable Pathogen Detection from Next Generation DNA Sequencing with Deep Learning

Authors: Sai Narayanan, Sathyanarayanan N. Aakur, Priyadharsini Ramamurthy, Arunkumar Bagavathi, Vishalini Ramnath, Akhilesh Ramachandran

Comments: Expanded version of arXiv:2111.08001. Under review in a journal

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

[3]  arXiv:2212.00017 [pdf, ps, other]

Title: Knowledge-augmented Deep Learning and Its Applications: A Survey

Authors: Zijun Cui, Tian Gao, Kartik Talamadupula, Qiang Ji

Comments: Submitted to IEEE Transactions on Neural Networks and Learning Systems

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

[4]  arXiv:2212.00021 [pdf, other]

Title: Location analysis of players in UEFA EURO 2020 and 2022 using generalized valuation of defense by estimating probabilities

Authors: Rikuhei Umemoto, Kazushi Tsutsui, Keisuke Fujii

Comments: 16 pages, 8 figures

Subjects: Machine Learning (cs.LG)

[5]  arXiv:2212.00022 [pdf, ps, other]

Title: Optical multi-task learning using multi-wavelength diffractive deep neural networks

Authors: Zhengyang Duan, Hang Chen, Xing Lin

Subjects: Machine Learning (cs.LG); Optics (physics.optics)

[6]  arXiv:2212.00024 [pdf, other]

Title: Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation

Authors: Ying Chen, Siwei Qiang, Mingming Ha, Xiaolei Liu, Shaoshuai Li, Lingfeng Yuan, Xiaobo Guo, Zhenfeng Zhu

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

[7]  arXiv:2212.00026 [pdf, other]

Title: Data-driven Science and Machine Learning Methods in Laser-Plasma Physics

Authors: Andreas Döpp, Christoph Eberle, Sunny Howard, Faran Irshad, Jinpu Lin, Matthew Streeter

Journal-ref: High Power Laser Science and Engineering (2023)

Subjects: Machine Learning (cs.LG); Accelerator Physics (physics.acc-ph); Optics (physics.optics); Plasma Physics (physics.plasm-ph)

[8]  arXiv:2212.00115 [pdf, other]

Title: Towards True Lossless Sparse Communication in Multi-Agent Systems

Authors: Seth Karten, Mycal Tucker, Siva Kailas, Katia Sycara

Comments: 12 pages, 6 figures

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

[9]  arXiv:2212.00124 [pdf, other]

Title: One Risk to Rule Them All: A Risk-Sensitive Perspective on Model-Based Offline Reinforcement Learning

Authors: Marc Rigter, Bruno Lacerda, Nick Hawes

Comments: NeurIPS 2023

Subjects: Machine Learning (cs.LG)

[10]  arXiv:2212.00131 [pdf, other]

Title: Evidential Conditional Neural Processes

Authors: Deep Shankar Pandey, Qi Yu

Comments: To appear in AAAI2023 Conference

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

[11]  arXiv:2212.00133 [pdf, other]

Title: Generative Adversarial Learning of Sinkhorn Algorithm Initializations

Authors: Jonathan Geuter, Vaios Laschos

Comments: 15 pages, 9 figures

Subjects: Machine Learning (cs.LG); Optimization and Control (math.OC); Machine Learning (stat.ML)

[12]  arXiv:2212.00169 [pdf, other]

Title: Time-Efficient Reward Learning via Visually Assisted Cluster Ranking

Authors: David Zhang, Micah Carroll, Andreea Bobu, Anca Dragan

Comments: Presented at the NeurIPS 2022 Human in the Loop Learning (HiLL) Workshop

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

[13]  arXiv:2212.00173 [pdf, other]

Title: SPADE: Semi-supervised Anomaly Detection under Distribution Mismatch

Authors: Jinsung Yoon, Kihyuk Sohn, Chun-Liang Li, Sercan O. Arik, Tomas Pfister

Subjects: Machine Learning (cs.LG)

[14]  arXiv:2212.00186 [pdf, other]

Title: Multi-Task Imitation Learning for Linear Dynamical Systems

Authors: Thomas T. Zhang, Katie Kang, Bruce D. Lee, Claire Tomlin, Sergey Levine, Stephen Tu, Nikolai Matni

Comments: Appeared in L4DC 2023. V3: corrected typo in assumptions

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

[15]  arXiv:2212.00193 [pdf, other]

Title: Distilling Reasoning Capabilities into Smaller Language Models

Authors: Kumar Shridhar, Alessandro Stolfo, Mrinmaya Sachan

Comments: Accepted at ACL 2023 (Findings)

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

[16]  arXiv:2212.00206 [pdf, other]

Title: Clustering and Analysis of GPS Trajectory Data using Distance-based Features

Authors: Zann Koh, Yuren Zhou, Billy Pik Lik Lau, Ran Liu, Keng Hua Chong, Chau Yuen

Comments: 13 pages, 12 figures. To be published in IEEE Access

Subjects: Machine Learning (cs.LG)

[17]  arXiv:2212.00211 [pdf, other]

Title: A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

Authors: Jiayu Chen, Vaneet Aggarwal, Tian Lan

Comments: This paper is accepted by NeurIPS 2023

Subjects: Machine Learning (cs.LG)

[18]  arXiv:2212.00222 [pdf, other]

Title: Experimental Observations of the Topology of Convolutional Neural Network Activations

Authors: Emilie Purvine, Davis Brown, Brett Jefferson, Cliff Joslyn, Brenda Praggastis, Archit Rathore, Madelyn Shapiro, Bei Wang, Youjia Zhou

Comments: Accepted at AAAI 2023. This version includes supplementary material

Subjects: Machine Learning (cs.LG); Computational Geometry (cs.CG)

[19]  arXiv:2212.00228 [pdf, other]

Title: Gated Recurrent Neural Networks with Weighted Time-Delay Feedback

Authors: N. Benjamin Erichson, Soon Hoe Lim, Michael W. Mahoney

Subjects: Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE); Machine Learning (stat.ML)

[20]  arXiv:2212.00253 [pdf, other]

Title: Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox

Authors: Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang

Comments: 14 pages, 17 figures

Journal-ref: Machine Intelligence Research, 2024 (https://link.springer.com/article/10.1007/s11633-023-1454-4)

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

[21]  arXiv:2212.00261 [pdf, other]

Title: Task Discovery: Finding the Tasks that Neural Networks Generalize on

Authors: Andrei Atanov, Andrei Filatov, Teresa Yeo, Ajay Sohmshetty, Amir Zamir

Comments: NeurIPS 2022, Project page at this https URL

Subjects: Machine Learning (cs.LG)

[22]  arXiv:2212.00291 [pdf, other]

Title: The Effect of Data Dimensionality on Neural Network Prunability

Authors: Zachary Ankner, Alex Renda, Gintare Karolina Dziugaite, Jonathan Frankle, Tian Jin

Subjects: Machine Learning (cs.LG)

[23]  arXiv:2212.00296 [pdf, other]

Title: Learning Markov Random Fields for Combinatorial Structures via Sampling through Lovász Local Lemma

Authors: Nan Jiang, Yi Gu, Yexiang Xue

Comments: accepted by AAAI 2023. The first two authors contribute equally

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

[24]  arXiv:2212.00306 [pdf, other]

Title: Decentralized Matrix Factorization with Heterogeneous Differential Privacy

Authors: Wentao Hu, Hui Fang

Comments: Accepted by the 22nd IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom-2023)

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

[25]  arXiv:2212.00309 [pdf, other]

Title: Differentially Private Adaptive Optimization with Delayed Preconditioners

Authors: Tian Li, Manzil Zaheer, Ken Ziyu Liu, Sashank J. Reddi, H. Brendan McMahan, Virginia Smith

Comments: Accepted by ICLR 2023

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