[Papers] 25 Machine Learning Authors and Titles in Jun 2021

Published by a Slice of Pye

From the annals of Cornell University.

Originally published and for the full list go to https://arxiv.org/list/cs.LG/current

[1] Analysis and classification of main risk factors causing stroke in Shanxi Province

 
Subjects: Machine Learning (cs.LG)
Download: arXiv:2106.00002 [pdfother]
 

[2]  Parallelized Computation and Backpropagation Under Angle-Parametrized Orthogonal Matrices

 
Subjects: Machine Learning (cs.LG); Distributed, Parallel, and Cluster Computing (cs.DC)
DownloadarXiv:2106.00003 [pdfother]
 

[3]  Robust discovery of partial differential equations in complex situations

 
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Optimization and Control (math.OC)
DownloadarXiv:2106.00008 [pdf]
 

[4]  Persistent Homology Captures the Generalization of Neural Networks Without A Validation Set

 
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Algebraic Topology (math.AT)
Download: arXiv:2106.00012 [pdfother]
 

[5]  Machine-Learning Non-Conservative Dynamics for New-Physics Detection

 
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)
DownloadarXiv:2106.00026 [pdfother]
 

[6]  A study on the plasticity of neural networks

 
Subjects: Machine Learning (cs.LG)
Download: arXiv:2106.00042 [pdfother]
 

[7]  Learning and Generalization in RNNs

 
Subjects: Machine Learning (cs.LG)
DownloadarXiv:2106.00047 [pdfother]
 

[8]  PUDLE: Implicit Acceleration of Dictionary Learning by Backpropagation

 
Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP); Machine Learning (stat.ML)
DownloadarXiv:2106.00058 [pdfother]
 

[9]  Node-Variant Graph Filters in Graph Neural Networks

 
Subjects: Machine Learning (cs.LG); Signal Processing (eess.SP)
DownloadarXiv:2106.00089 [pdfother]
 

[10]  Generalized AdaGrad (G-AdaGrad) and Adam: A State-Space Perspective

 
Subjects: Machine Learning (cs.LG); Systems and Control (eess.SY); Machine Learning (stat.ML)
DownloadarXiv:2106.00092 [pdfother]
 

[11]  Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs

 
Subjects: Machine Learning (cs.LG)
DownloadarXiv:2106.00099 [pdfother]
 

[12]  Fine-grained Generalization Analysis of Structured Output Prediction

 
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
DownloadarXiv:2106.00115 [pdfpsother]
 

[13]  Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images

 
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
DownloadarXiv:2106.00116 [pdfother]
 

[14]  Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models

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

[15]  Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review

 
Subjects: Machine Learning (cs.LG); Trading and Market Microstructure (q-fin.TR)
DownloadarXiv:2106.00123 [pdfother]
 

[16]  Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization

 
Subjects: Machine Learning (cs.LG)
DownloadarXiv:2106.00127 [pdfother]
 

[17]  Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation

 
Subjects: Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
DownloadarXiv:2106.00131 [pdfother]
 

[18]  On Fast Sampling of Diffusion Probabilistic Models

 
Subjects: Machine Learning (cs.LG)
DownloadarXiv:2106.00132 [pdfother]
 

[19]  GANs Can Play Lottery Tickets Too

 
Subjects: Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
DownloadarXiv:2106.00134 [pdfother]
 

[20]  Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning

[21]  Explanations for Monotonic Classifiers

 
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
DownloadarXiv:2106.00154 [pdfpsother]
 

[22]  Enhancing Trajectory Prediction using Sparse Outputs: Application to Team Sports

 
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
DownloadarXiv:2106.00173 [pdfpsother]
 

[23]  Duckworth-Lewis-Stern Method Comparison with Machine Learning Approach

 
Journal-ref: 2019 International Conference on Frontiers of Information Technology (FIT), 2019, pp. 197-1975
Subjects: Machine Learning (cs.LG); Machine Learning (stat.ML)
Download: arXiv:2106.00175 [pdf]
 

[24]  Gradient Play in Multi-Agent Markov Stochastic Games: Stationary Points and Convergence

 
Subjects: Machine Learning (cs.LG); Computer Science and Game Theory (cs.GT); Multiagent Systems (cs.MA); Optimization and Control (math.OC)
DownloadarXiv:2106.00198 [pdfother]
 

[25]  Hybrid Generative Models for Two-Dimensional Datasets

 
Subjects: Machine Learning (cs.LG)
DownloadarXiv:2106.00203 [pdfother]

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