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Learning Associative Inference Using Fast Weight Memory

Learning Associative Inference Using Fast Weight Memory

16 November 2020
Imanol Schlag
Tsendsuren Munkhdalai
Jürgen Schmidhuber
    KELM
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Papers citing "Learning Associative Inference Using Fast Weight Memory"

13 / 13 papers shown
Title
Generative Retrieval for Book search
Generative Retrieval for Book search
Yubao Tang
Ruqing Zhang
J. Guo
Maarten de Rijke
Shihao Liu
S. Wang
Dawei Yin
Xueqi Cheng
RALM
31
0
0
19 Jan 2025
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues
Riccardo Grazzi
Julien N. Siems
Jörg K.H. Franke
Arber Zela
Frank Hutter
Massimiliano Pontil
92
11
0
19 Nov 2024
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
Yu Sun
Xinhao Li
Karan Dalal
Jiarui Xu
Arjun Vikram
...
Xinlei Chen
Xiaolong Wang
Sanmi Koyejo
Tatsunori Hashimoto
Carlos Guestrin
58
92
0
05 Jul 2024
Delving Deeper Into Astromorphic Transformers
Delving Deeper Into Astromorphic Transformers
Md. Zesun Ahmed Mia
Malyaban Bal
Abhronil Sengupta
34
1
0
18 Dec 2023
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial
  Reasoning in Text
DepWiGNN: A Depth-wise Graph Neural Network for Multi-hop Spatial Reasoning in Text
Shuaiyi Li
Yang Deng
Wai Lam
30
2
0
19 Oct 2023
Images as Weight Matrices: Sequential Image Generation Through Synaptic
  Learning Rules
Images as Weight Matrices: Sequential Image Generation Through Synaptic Learning Rules
Kazuki Irie
Jürgen Schmidhuber
32
5
0
07 Oct 2022
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic
  benchmarking
Dyna-bAbI: unlocking bAbI's potential with dynamic synthetic benchmarking
Ronen Tamari
Kyle Richardson
Aviad Sar-Shalom
Noam Kahlon
Nelson F. Liu
Reut Tsarfaty
Dafna Shahaf
37
5
0
30 Nov 2021
Fast Contextual Adaptation with Neural Associative Memory for On-Device
  Personalized Speech Recognition
Fast Contextual Adaptation with Neural Associative Memory for On-Device Personalized Speech Recognition
Tsendsuren Munkhdalai
K. Sim
Angad Chandorkar
Fan Gao
Mason Chua
Trevor Strohman
F. Beaufays
29
34
0
05 Oct 2021
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Going Beyond Linear Transformers with Recurrent Fast Weight Programmers
Kazuki Irie
Imanol Schlag
Róbert Csordás
Jürgen Schmidhuber
26
57
0
11 Jun 2021
Linear Transformers Are Secretly Fast Weight Programmers
Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag
Kazuki Irie
Jürgen Schmidhuber
31
224
0
22 Feb 2021
Meta Learning Backpropagation And Improving It
Meta Learning Backpropagation And Improving It
Louis Kirsch
Jürgen Schmidhuber
51
56
0
29 Dec 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
329
11,684
0
09 Mar 2017
Neural Semantic Encoders
Neural Semantic Encoders
Tsendsuren Munkhdalai
Hong-ye Yu
216
131
0
14 Jul 2016
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