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1910.01526
Cited By
Gated Linear Networks
30 September 2019
William H. Guss
Tor Lattimore
David Budden
Avishkar Bhoopchand
Christopher Mattern
A. Grabska-Barwinska
Ruslan Salakhutdinov
Jianan Wang
Peter Toth
Simon Schmitt
Marcus Hutter
AI4CE
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Papers citing
"Gated Linear Networks"
16 / 16 papers shown
Title
Memorization and Knowledge Injection in Gated LLMs
Xu Pan
Ely Hahami
Zechen Zhang
H. Sompolinsky
KELM
CLL
RALM
106
1
0
30 Apr 2025
Expressivity of Neural Networks with Random Weights and Learned Biases
Ezekiel Williams
Avery Hee-Woon Ryoo
Thomas Jiralerspong
Alexandre Payeur
M. Perich
Luca Mazzucato
Guillaume Lajoie
38
2
0
01 Jul 2024
Local Learning with Neuron Groups
Adeetya Patel
Michael Eickenberg
Eugene Belilovsky
26
5
0
18 Jan 2023
Globally Gated Deep Linear Networks
Qianyi Li
H. Sompolinsky
AI4CE
27
10
0
31 Oct 2022
Scaling Forward Gradient With Local Losses
Mengye Ren
Simon Kornblith
Renjie Liao
Geoffrey E. Hinton
81
49
0
07 Oct 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
30
34
0
21 Jul 2022
Explicitising The Implicit Intrepretability of Deep Neural Networks Via Duality
Chandrashekar Lakshminarayanan
Ashutosh Kumar Singh
A. Rajkumar
AI4CE
26
1
0
01 Mar 2022
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
A. Iyer
Karan Grewal
Akash Velu
Lucas O. Souza
Jérémy Forest
Subutai Ahmad
AI4CE
32
41
0
31 Dec 2021
SPINE: Soft Piecewise Interpretable Neural Equations
Jasdeep Singh Grover
Harsh Minesh Domadia
Rajashree Tapase
Grishma Sharma
19
0
0
20 Nov 2021
Reinforcement Learning with Information-Theoretic Actuation
Elliot Catt
Marcus Hutter
J. Veness
45
0
0
30 Sep 2021
Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods
Shiyu Duan
José C. Príncipe
MQ
25
3
0
09 Jan 2021
Kernelized information bottleneck leads to biologically plausible 3-factor Hebbian learning in deep networks
Roman Pogodin
P. Latham
21
34
0
12 Jun 2020
Gaussian Gated Linear Networks
David Budden
Adam H. Marblestone
Eren Sezener
Tor Lattimore
Greg Wayne
J. Veness
BDL
AI4CE
21
12
0
10 Jun 2020
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
15
5
0
05 Feb 2020
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
251
2,550
0
25 Jan 2016
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
571
0
08 Dec 2012
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