Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary
Dropouts

Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts

9 March 2023

Rohit Agarwal

Alexander Horsch

Dilip K. Prasad

Papers citing "Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts"

6 / 6 papers shown

Title
Haphazard Inputs as Images in Online Learning Rohit Agarwal Aryan Dessai A. Sekh Krishna Agarwal Alexander Horsch D. Prasad OOD 56 0 0 03 Apr 2025
packetLSTM: Dynamic LSTM Framework for Streaming Data with Varying Feature Space Rohit Agarwal Karaka Prasanth Naidu Alexander Horsch Krishna Agarwal D. Prasad 22 1 0 22 Oct 2024
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark J. Coates 54 2 0 28 May 2024
Online Learning under Haphazard Input Conditions: A Comprehensive Review and Analysis Rohit Agarwal Arijit Das Alexander Horsch Krishna Agarwal Dilip K. Prasad 34 2 0 07 Apr 2024
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,113 0 04 Nov 2016
Improving neural networks by preventing co-adaptation of feature detectors Geoffrey E. Hinton Nitish Srivastava A. Krizhevsky Ilya Sutskever Ruslan Salakhutdinov VLM 266 7,639 0 03 Jul 2012