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AutoClip: Adaptive Gradient Clipping for Source Separation Networks

AutoClip: Adaptive Gradient Clipping for Source Separation Networks

25 July 2020
Prem Seetharaman
Gordon Wichern
Bryan Pardo
Jonathan Le Roux
ArXivPDFHTML

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
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
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
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
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
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
40
2
0
04 Jan 2021
Surrogate Source Model Learning for Determined Source Separation
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
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
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
38
79
0
17 Sep 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
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
2,896
0
15 Sep 2016
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