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Machine Learning

Authors and titles for June 2021

Total of 3060 entries : 1-50 51-100 101-150 151-200 ... 3051-3060
Showing up to 50 entries per page: fewer | more | all
[1] arXiv:2106.00002 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Analysis and classification of main risk factors causing stroke in Shanxi Province
Title: 山西省中导致中风的主要风险因素的分析与分类
Junjie Liu, Yiyang Sun, Jing Ma, Jiachen Tu, Yuhui Deng, Ping He, Huaxiong Huang, Xiaoshuang Zhou, Shixin Xu
Comments: 13 pages, 9 figures
Subjects: Machine Learning (cs.LG)
[2] arXiv:2106.00003 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices
Title: 基于角度参数化的正交矩阵的并行计算与反向传播
Firas Hamze
Subjects: Machine Learning (cs.LG) ; Distributed, Parallel, and Cluster Computing (cs.DC)
[3] arXiv:2106.00008 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Robust discovery of partial differential equations in complex situations
Title: 复杂情况下的偏微分方程稳健发现
Hao Xu, Dongxiao Zhang
Comments: 20 pages, 8 figures
Journal-ref: Phys. Rev. Research 3, 033270 (2021)
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) ; Optimization and Control (math.OC)
[4] arXiv:2106.00012 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set
Title: 无验证集的神经网络泛化性由持久同调捕获
Asier Gutiérrez-Fandiño, David Pérez-Fernández, Jordi Armengol-Estapé, Marta Villegas
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) ; Algebraic Topology (math.AT)
[5] arXiv:2106.00026 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Machine-Learning Non-Conservative Dynamics for New-Physics Detection
Title: 机器学习非守恒动力学用于新物理探测
Ziming Liu, Bohan Wang, Qi Meng, Wei Chen, Max Tegmark, Tie-Yan Liu
Comments: 17 pages, 7 figs, 2 tables; typo correction
Subjects: Machine Learning (cs.LG) ; Instrumentation and Methods for Astrophysics (astro-ph.IM) ; General Relativity and Quantum Cosmology (gr-qc) ; Computational Physics (physics.comp-ph)
[6] arXiv:2106.00042 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: A study on the plasticity of neural networks
Title: 神经网络的可塑性研究
Tudor Berariu, Wojciech Czarnecki, Soham De, Jorg Bornschein, Samuel Smith, Razvan Pascanu, Claudia Clopath
Subjects: Machine Learning (cs.LG)
[7] arXiv:2106.00047 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Learning and Generalization in RNNs
Title: 循环神经网络中的学习与泛化
Abhishek Panigrahi, Navin Goyal
Subjects: Machine Learning (cs.LG)
[8] arXiv:2106.00058 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Stable and Interpretable Unrolled Dictionary Learning
Title: 稳定且可解释的展开字典学习
Bahareh Tolooshams, Demba Ba
Comments: Published in Transactions on Machine Learning Research (TMLR) (08/2022)
Subjects: Machine Learning (cs.LG) ; Signal Processing (eess.SP) ; Machine Learning (stat.ML)
[9] arXiv:2106.00089 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Node-Variant Graph Filters in Graph Neural Networks
Title: 节点变体图滤波器在图神经网络中的应用
Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi
Subjects: Machine Learning (cs.LG) ; Signal Processing (eess.SP)
[10] arXiv:2106.00092 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective
Title: 广义AdaGrad(G-AdaGrad)和Adam:一种状态空间视角
Kushal Chakrabarti, Nikhil Chopra
Comments: Updates: The parameter condition of Adam in Theorem 2 has been relaxed and the proof has been updated accordingly. Experimental results on logistic regression model have been included. Conference: Accepted for presentation in the 2021 60th IEEE Conference on Decision and Control (CDC)
Subjects: Machine Learning (cs.LG) ; Systems and Control (eess.SY) ; Machine Learning (stat.ML)
[11] arXiv:2106.00099 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs
Title: 多目标SPIBB:有限MDP中带有安全约束的Seldonian离线策略改进
Harsh Satija, Philip S. Thomas, Joelle Pineau, Romain Laroche
Subjects: Machine Learning (cs.LG)
[12] arXiv:2106.00115 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Fine-grained Generalization Analysis of Structured Output Prediction
Title: 结构化输出预测的细粒度泛化分析
Waleed Mustafa, Yunwen Lei, Antoine Ledent, Marius Kloft
Comments: To appearn in IJCAI 2021
Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML)
[13] arXiv:2106.00116 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Title: 预训练尺度对自然和医学X射线胸部图像域内和域间全样本和少样本迁移学习的影响
Mehdi Cherti, Jenia Jitsev
Comments: Short version published in MedNeurIPS 2021. Long version published in IJCNN 2022. Code: https://github.com/SLAMPAI/large-scale-pretraining-transfer
Journal-ref: 2022 International Joint Conference on Neural Networks (IJCNN), 2022, pp. 1-9
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) ; Computer Vision and Pattern Recognition (cs.CV)
[14] arXiv:2106.00120 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models
Title: 概率深度学习:基于概率神经网络和深度概率模型
Daniel T. Chang
Comments: arXiv admin note: text overlap with arXiv:1811.06622
Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML)
[15] arXiv:2106.00123 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review
Title: 深度强化学习在量化算法交易中的应用:综述
Tidor-Vlad Pricope
Subjects: Machine Learning (cs.LG) ; Trading and Market Microstructure (q-fin.TR)
[16] arXiv:2106.00127 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization
Title: 基于移位批量归一化的仅整数神经网络量化方案
Qingyu Guo, Yuan Wang, Xiaoxin Cui
Subjects: Machine Learning (cs.LG)
[17] arXiv:2106.00131 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation
Title: 通过实例区分和特征去相关性的聚类友好表示学习
Yaling Tao, Kentaro Takagi, Kouta Nakata
Comments: 15 pages, ICLR2021
Subjects: Machine Learning (cs.LG) ; Computer Vision and Pattern Recognition (cs.CV)
[18] arXiv:2106.00132 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: On Fast Sampling of Diffusion Probabilistic Models
Title: 快速采样扩散概率模型
Zhifeng Kong, Wei Ping
Comments: Code is released
Subjects: Machine Learning (cs.LG)
[19] arXiv:2106.00134 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: GANs Can Play Lottery Tickets Too
Title: GANs 可以玩彩票投注
Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) ; Computer Vision and Pattern Recognition (cs.CV)
[20] arXiv:2106.00136 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning
Title: Tesseract:用于多智能体强化学习的张量化代理
Anuj Mahajan, Mikayel Samvelyan, Lei Mao, Viktor Makoviychuk, Animesh Garg, Jean Kossaifi, Shimon Whiteson, Yuke Zhu, Animashree Anandkumar
Comments: 38th International Conference on Machine Learning, PMLR 139, 2021
Subjects: Machine Learning (cs.LG)
[21] arXiv:2106.00154 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Explanations for Monotonic Classifiers
Title: 单调分类器的解释
Joao Marques-Silva, Thomas Gerspacher, Martin Cooper, Alexey Ignatiev, Nina Narodytska
Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML)
[22] arXiv:2106.00173 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports
Title: 利用稀疏输出增强轨迹预测:团队运动中的应用
Brandon Victor, Aiden Nibali, Zhen He, David L. Carey
Comments: 10 pages (not including references), 7 figures. Published in Neural Computing and Applications on 20 March 2021
Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML)
[23] arXiv:2106.00175 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach
Title: 杜兰-刘易斯-斯特恩方法与机器学习方法的比较
Kumail Abbas, Sajjad Haider
Comments: The paper has been published in the conference of Frontiers of Information Technology 2019
Journal-ref: 2019 International Conference on Frontiers of Information Technology (FIT), 2019, pp. 197-1975
Subjects: Machine Learning (cs.LG) ; Machine Learning (stat.ML)
[24] arXiv:2106.00198 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Gradient play in stochastic games: stationary points, convergence, and sample complexity
Title: 随机博弈中的梯度博弈:平稳点、收敛性和样本复杂性
Runyu Zhang, Zhaolin Ren, Na Li
Subjects: Machine Learning (cs.LG) ; Computer Science and Game Theory (cs.GT) ; Multiagent Systems (cs.MA) ; Optimization and Control (math.OC)
[25] arXiv:2106.00203 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Hybrid Generative Models for Two-Dimensional Datasets
Title: 二维数据集的混合生成模型
Hoda Shajari, Jaemoon Lee, Sanjay Ranka, Anand Rangarajan
Comments: 30th International Conference on Artificial Neural Networks, ICANN2021 - to be published in Springer Lecture Notes in Computer Science
Subjects: Machine Learning (cs.LG)
[26] arXiv:2106.00221 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Concurrent Adversarial Learning for Large-Batch Training
Title: 大规模批量训练的并发对抗学习
Yong Liu, Xiangning Chen, Minhao Cheng, Cho-Jui Hsieh, Yang You
Comments: Accepted to ICLR 2022
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI)
[27] arXiv:2106.00225 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Locally Valid and Discriminative Prediction Intervals for Deep Learning Models
Title: 深度学习模型的局部有效且判别性强的预测区间
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Comments: Advances in Neural Information Processing Systems 34 (NeurIPS 2021). Code is available at https://github.com/zlin7/LVD
Subjects: Machine Learning (cs.LG) ; Methodology (stat.ME) ; Machine Learning (stat.ML)
[28] arXiv:2106.00252 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
Title: 基于信息论的贝叶斯元学习中的认识不确定性分析
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
Comments: Under review
Subjects: Machine Learning (cs.LG) ; Information Theory (cs.IT) ; Signal Processing (eess.SP)
[29] arXiv:2106.00265 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: A unified PAC-Bayesian framework for machine unlearning via information risk minimization
Title: 通过信息风险最小化进行机器遗忘的统一PAC-Bayesian框架
Sharu Theresa Jose, Osvaldo Simeone
Comments: Under Review
Subjects: Machine Learning (cs.LG) ; Information Theory (cs.IT) ; Signal Processing (eess.SP)
[30] arXiv:2106.00274 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Analysis of classifiers robust to noisy labels
Title: 对噪声标签鲁棒的分类器分析
Alex Díaz, Damian Steele
Comments: 12 pages
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI) ; Computer Vision and Pattern Recognition (cs.CV) ; Data Structures and Algorithms (cs.DS)
[31] arXiv:2106.00275 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
Title: H-FL:一种分层的通信高效且隐私保护的联邦学习架构
He Yang
Comments: Accepted by IJCAI 2021, 7pages, 10 figures
Subjects: Machine Learning (cs.LG) ; Cryptography and Security (cs.CR) ; Distributed, Parallel, and Cluster Computing (cs.DC)
[32] arXiv:2106.00280 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
Title: AAPM DL-Sparse-View CT 挑战提交报告:设计一种用于未知几何结构的扇形束CT的迭代网络
Martin Genzel, Jan Macdonald, Maximilian März
Comments: This is a technical report of a method participating in a not yet finished challenge. Therefore, it does not contain any final results. In particular, the reported reconstruction errors are only with respect to our own validation split of the provided training data. Once the official challenge report is released, these values will be updated with the results from the actual test set
Subjects: Machine Learning (cs.LG) ; Image and Video Processing (eess.IV) ; Numerical Analysis (math.NA) ; Medical Physics (physics.med-ph)
[33] arXiv:2106.00297 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: More Behind Your Electricity Bill: a Dual-DNN Approach to Non-Intrusive Load Monitoring
Title: 电费背后的更多内容:一种非侵入式负载监测的双DNN方法
Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu
Comments: 9 pages, 6 figures, 3 tables
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI)
[34] arXiv:2106.00317 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Data-Driven Shadowgraph Simulation of a 3D Object
Title: 数据驱动的三维物体阴影图模拟
Anna Willmann, Patrick Stiller, Alexander Debus, Arie Irman, Richard Pausch, Yen-Yu Chang, Michael Bussmann, Nico Hoffmann
Comments: 9 pages, 9 figures. Published as a workshop paper at ICLR 2021 SimDL Workshop
Subjects: Machine Learning (cs.LG)
[35] arXiv:2106.00322 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts
Title: 通过合成分布稳健专家的顺序域适应
Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen
Subjects: Machine Learning (cs.LG) ; Optimization and Control (math.OC) ; Machine Learning (stat.ML)
[36] arXiv:2106.00357 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Experiments with graph convolutional networks for solving the vertex $p$-center problem
Title: 图卷积网络在求解顶点$p$-中心问题中的实验
Elisabeth Gaar, Markus Sinnl
Subjects: Machine Learning (cs.LG)
[37] arXiv:2106.00359 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Learning Football Body-Orientation as a Matter of Classification
Title: 学习足球身体朝向作为分类问题
Adrià Arbués-Sangüesa, Adrián Martín, Paulino Granero, Coloma Ballester, Gloria Haro
Comments: Accepted in the AI for Sports Analytics Workshop at ICJAI 2021
Subjects: Machine Learning (cs.LG) ; Computer Vision and Pattern Recognition (cs.CV) ; Image and Video Processing (eess.IV)
[38] arXiv:2106.00387 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Decision Concept Lattice vs. Decision Trees and Random Forests
Title: 决策概念格与决策树和随机森林
Egor Dudyrev, Sergei O. Kuznetsov
Comments: 8 pages, 2 figures. The final authenticated version is going to be published in Braud, A., Buzmakov, A., Hanika, T., Le Ber, F. (eds.) ICFCA 2021. LNCS (LNAI), vol. 12733, pp. 1-9. Springer, Heidelberg (2021). https://doi.org/10.1007/978-3-030-77867-5_16
Subjects: Machine Learning (cs.LG)
[39] arXiv:2106.00394 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Improving Conditional Coverage via Orthogonal Quantile Regression
Title: 通过正交分位数回归改进条件覆盖率
Shai Feldman, Stephen Bates, Yaniv Romano
Comments: 20 pages, 5 figures
Subjects: Machine Learning (cs.LG)
[40] arXiv:2106.00417 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Semi-supervised Models are Strong Unsupervised Domain Adaptation Learners
Title: 半监督模型是强大的无监督域适应学习者
Yabin Zhang, Haojian Zhang, Bin Deng, Shuai Li, Kui Jia, Lei Zhang
Comments: Codes are available at https://github.com/YBZh
Subjects: Machine Learning (cs.LG)
[41] arXiv:2106.00421 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: OpenBox: A Generalized Black-box Optimization Service
Title: OpenBox:一种通用的黑盒优化服务
Yang Li, Yu Shen, Wentao Zhang, Yuanwei Chen, Huaijun Jiang, Mingchao Liu, Jiawei Jiang, Jinyang Gao, Wentao Wu, Zhi Yang, Ce Zhang, Bin Cui
Journal-ref: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2021)
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI)
[42] arXiv:2106.00444 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Minimax Regret for Bandit Convex Optimisation of Ridge Functions
Title: 带约束凸优化的最小最大遗憾的岭函数
Tor Lattimore
Comments: Correcting an (instructive) error that leads to a weaker result
Subjects: Machine Learning (cs.LG) ; Optimization and Control (math.OC)
[43] arXiv:2106.00445 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Sample Selection with Uncertainty of Losses for Learning with Noisy Labels
Title: 带有损失不确定性的样本选择用于带有噪声标签的学习
Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
Subjects: Machine Learning (cs.LG)
[44] arXiv:2106.00455 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Instance Correction for Learning with Open-set Noisy Labels
Title: 实例纠正用于开放集噪声标签学习
Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Jun Yu, Gang Niu, Masashi Sugiyama
Subjects: Machine Learning (cs.LG)
[45] arXiv:2106.00467 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: A Clarification of the Nuances in the Fairness Metrics Landscape
Title: 公平性度量景观中的细微差别澄清
Alessandro Castelnovo, Riccardo Crupi, Greta Greco, Daniele Regoli, Ilaria Giuseppina Penco, Andrea Claudio Cosentini
Comments: 26 pages, 7 figures, 2 tables, title updated: previous title was "The Zoo of Fairness metrics in Machine Learning", authors updated
Journal-ref: Sci Rep 12, 4209 (2022)
Subjects: Machine Learning (cs.LG) ; Computers and Society (cs.CY) ; Machine Learning (stat.ML)
[46] arXiv:2106.00474 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Gaussian Processes with Differential Privacy
Title: 具有 differential privacy 的高斯过程
Antti Honkela, Laila Melkas
Subjects: Machine Learning (cs.LG) ; Cryptography and Security (cs.CR) ; Machine Learning (stat.ML)
[47] arXiv:2106.00490 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy Constraints
Title: 面向能量约束的无线联邦边缘学习动态调度
Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Deniz Gündüz
Comments: Submitted to IEEE for possible publication
Subjects: Machine Learning (cs.LG) ; Information Theory (cs.IT)
[48] arXiv:2106.00502 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees
Title: 使用决策树对解剖学客观结构化实践考试进行自动评分
Jason Bernard, Ranil Sonnadara, Anthony N. Saraco, Josh P. Mitchell, Alex B. Bak, Ilana Bayer, Bruce C. Wainman
Comments: 33 pages, 3 figures, 2 tables. Under review at Anatomical Education Sciences
Subjects: Machine Learning (cs.LG)
[49] arXiv:2106.00512 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning
Title: 可信且资源感知的机器学习认证套件:标签概念
Katharina Morik, Helena Kotthaus, Lukas Heppe, Danny Heinrich, Raphael Fischer, Andreas Pauly, Nico Piatkowski
Subjects: Machine Learning (cs.LG)
[50] arXiv:2106.00524 (cross-list from cs.LG) [cn-pdf, pdf, other]
Title: Student Performance Prediction Using Dynamic Neural Models
Title: 基于动态神经模型的学生表现预测
Marina Delianidi, Konstantinos Diamantaras, George Chrysogonidis, Vasileios Nikiforidis
Comments: 9 pages, 4 figures, to be published in EDM 2021: the 14th International Conference on Educational Data Mining, June 29 - July 2, 2021, Paris, France
Subjects: Machine Learning (cs.LG) ; Artificial Intelligence (cs.AI)
Total of 3060 entries : 1-50 51-100 101-150 151-200 ... 3051-3060
Showing up to 50 entries per page: fewer | more | all
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