[Research] Not all our papers get published, therefore it is enjoyable to see our released papers become a true foundation for other works

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
  • Improving-Mean-Absolute-Error-against-CCE

    Mean Absolute Error Does Not Treat Examples Equally and Gradient Magnitude’s Variance Matters

  • Code for https://arxiv.org/abs/1903.12141 found: https://github.com/XinshaoAmosWang/Improving-Mean-Absolute-Error-against-CCE

  • DerivativeManipulation

    In the context of Deep Learning: What is the right way to conduct example weighting? How do you understand loss functions and so-called theorems on them?

  • Code for https://arxiv.org/abs/1905.11233 found: https://github.com/XinshaoAmosWang/Emphasis-Regularisation-by-Gradient-Rescaling

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

Suggest a related project

Related posts

  • [Research] Deep Critical Learning (i.e., Deep Robustness) In The Era of Big Data

    5 projects | /r/MachineLearning | 10 Aug 2022
  • [R] CVPR 2021-Progressive Self Label Correction (ProSelfLC) for Training Robust Deep Neural Networks

    2 projects | /r/MachineLearning | 4 Jun 2021
  • [D] Should expert opinion be a bigger part of the Machine Learning world?

    2 projects | /r/MachineLearning | 25 Mar 2022