SaaS: Speed as a Supervisor for Semi-supervised Learning

2 May 2018

Papers citing "SaaS: Speed as a Supervisor for Semi-supervised Learning"

6 / 6 papers shown

Title
Dealing with Distribution Mismatch in Semi-supervised Deep Learning for Covid-19 Detection Using Chest X-ray Images: A Novel Approach Using Feature Densities Saul Calderon-Ramirez Shengxiang-Yang David Elizondo Armaghan Moemeni OOD 28 24 0 17 Aug 2021
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation Taekyung Kim Changick Kim 16 136 0 18 Jul 2020
Adversarial Feature Distribution Alignment for Semi-Supervised Learning Christoph Mayer M. Paul Radu Timofte 16 12 0 22 Dec 2019
Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande Songwong Tasneeyapant Abhay Venkatesh Sathya Ravi Vikas Singh 13 29 0 12 Sep 2019
Semi-Supervised Learning by Augmented Distribution Alignment Qin Wang Wen Li Luc Van Gool 18 68 0 20 May 2019
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 308 2,890 0 15 Sep 2016