AutoClip: Adaptive Gradient Clipping for Source Separation Networks

25 July 2020

Papers citing "AutoClip: Adaptive Gradient Clipping for Source Separation Networks"

9 / 9 papers shown

Title
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping Jiaxing Li Zihan Chen Kai Fong Ernest Chong Bikramjit Das Tony Q.S. Quek Howard H. Yang 42 0 0 23 Sep 2024
Switchable Lightweight Anti-symmetric Processing (SLAP) with CNN Outspeeds Data Augmentation by Smaller Sample -- Application in Gomoku Reinforcement Learning Chi-Hang Suen Eduardo Alonso 21 0 0 11 Jan 2023
DeepLSS: breaking parameter degeneracies in large scale structure with deep learning analysis of combined probes T. Kacprzak J. Fluri 22 12 0 17 Mar 2022
Introducing Self-Attention to Target Attentive Graph Neural Networks Sai Mitheran Abhinav Java Surya Kant Sahu Arshad Shaikh 21 9 0 04 Jul 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
Surrogate Source Model Learning for Determined Source Separation Robin Scheibler M. Togami 28 22 0 11 Nov 2020
A Study of Transfer Learning in Music Source Separation Andreas Bugler Bryan Pardo Prem Seetharaman 27 3 0 23 Oct 2020
Review: Deep Learning in Electron Microscopy Jeffrey M. Ede 36 79 0 17 Sep 2020
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 310 2,892 0 15 Sep 2016