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HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts

HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts

23 November 2023
Do Huu Dat
Po Yuan Mao
Tien Hoang Nguyen
Wray L. Buntine
Bennamoun
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Papers citing "HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts"

3 / 3 papers shown
Title
From Sparse to Soft Mixtures of Experts
From Sparse to Soft Mixtures of Experts
J. Puigcerver
C. Riquelme
Basil Mustafa
N. Houlsby
MoE
121
114
0
02 Aug 2023
Disentangling Visual Embeddings for Attributes and Objects
Disentangling Visual Embeddings for Attributes and Objects
Nirat Saini
Khoi Pham
Abhinav Shrivastava
OCL
BDL
CoGe
60
60
0
17 May 2022
Learning Graph Embeddings for Open World Compositional Zero-Shot
  Learning
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning
Massimiliano Mancini
Muhammad Ferjad Naeem
Yongqin Xian
Zeynep Akata
CoGe
60
67
0
03 May 2021
1