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Gated Linear Networks

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
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
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
Local Learning with Neuron Groups
Adeetya Patel
Michael Eickenberg
Eugene Belilovsky
26
5
0
18 Jan 2023
Globally Gated Deep Linear Networks
Globally Gated Deep Linear Networks
Qianyi Li
H. Sompolinsky
AI4CE
27
10
0
31 Oct 2022
Scaling Forward Gradient With Local Losses
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
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
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
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
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
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
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
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
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
Locally-Adaptive Nonparametric Online Learning
Ilja Kuzborskij
Nicolò Cesa-Bianchi
15
5
0
05 Feb 2020
Pixel Recurrent Neural Networks
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
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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