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Beyond Fully-Connected Layers with Quaternions: Parameterization of
  Hypercomplex Multiplications with $1/n$ Parameters

Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with 1/n1/n1/n Parameters

17 February 2021
Aston Zhang
Yi Tay
Shuai Zhang
Alvin Chan
A. Luu
S. Hui
Jie Fu
    MQ
ArXivPDFHTML

Papers citing "Beyond Fully-Connected Layers with Quaternions: Parameterization of Hypercomplex Multiplications with $1/n$ Parameters"

28 / 28 papers shown
Title
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models
V-EfficientNets: Vector-Valued Efficiently Scaled Convolutional Neural Network Models
Guilherme Vieira Neto
Marcos Eduardo Valle
31
0
0
08 May 2025
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach
Hanwang Zhang
Jiahao Huang
Yinzhe Wu
Congren Dai
Fanwen Wang
Zhenxuan Zhang
Guang Yang
60
0
0
13 Mar 2025
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based
  on Meta Learning
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
Ruiyi Zhang
Rushi Qiang
Sai Ashish Somayajula
Pengtao Xie
42
13
0
14 Mar 2024
Understanding Vector-Valued Neural Networks and Their Relationship with
  Real and Hypercomplex-Valued Neural Networks
Understanding Vector-Valued Neural Networks and Their Relationship with Real and Hypercomplex-Valued Neural Networks
Marcos Eduardo Valle
19
3
0
14 Sep 2023
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and
  Time Efficient Adapter Tuning for Dense Predictions
Parameter-efficient is not sufficient: Exploring Parameter, Memory, and Time Efficient Adapter Tuning for Dense Predictions
Dongshuo Yin
Xueting Han
Bin Li
Hao Feng
Jinghua Bai
VPVLM
31
17
0
16 Jun 2023
Automated Few-shot Classification with Instruction-Finetuned Language
  Models
Automated Few-shot Classification with Instruction-Finetuned Language Models
Rami Aly
Xingjian Shi
Kaixiang Lin
Aston Zhang
A. Wilson
38
9
0
21 May 2023
Practical Conformer: Optimizing size, speed and flops of Conformer for
  on-Device and cloud ASR
Practical Conformer: Optimizing size, speed and flops of Conformer for on-Device and cloud ASR
Rami Botros
Anmol Gulati
Tara N. Sainath
K. Choromanski
Ruoming Pang
Trevor Strohman
Weiran Wang
Jiahui Yu
MQ
26
3
0
31 Mar 2023
Adapting Pre-trained Language Models for Quantum Natural Language
  Processing
Adapting Pre-trained Language Models for Quantum Natural Language Processing
Qiuchi Li
Benyou Wang
Yudong Zhu
Christina Lioma
Qun Liu
AI4CE
15
4
0
24 Feb 2023
Enhancing ResNet Image Classification Performance by using Parameterized
  Hypercomplex Multiplication
Enhancing ResNet Image Classification Performance by using Parameterized Hypercomplex Multiplication
Nazmul Shahadat
Anthony Maida
25
6
0
11 Jan 2023
Parameter-Efficient Fine-Tuning Design Spaces
Parameter-Efficient Fine-Tuning Design Spaces
Jiaao Chen
Aston Zhang
Xingjian Shi
Mu Li
Alexander J. Smola
Diyi Yang
42
59
0
04 Jan 2023
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
ConStruct-VL: Data-Free Continual Structured VL Concepts Learning
James Smith
Paola Cascante-Bonilla
Assaf Arbelle
Donghyun Kim
Rameswar Panda
David D. Cox
Diyi Yang
Z. Kira
Rogerio Feris
Leonid Karlinsky
VLM
44
20
0
17 Nov 2022
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts
Xiangyang Liu
Tianxiang Sun
Xuanjing Huang
Xipeng Qiu
VLM
36
27
0
20 Oct 2022
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of
  Large-Scale Pre-Trained Language Models
AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models
S. Kwon
Jeonghoon Kim
Jeongin Bae
Kang Min Yoo
Jin-Hwa Kim
Baeseong Park
Byeongwook Kim
Jung-Woo Ha
Nako Sung
Dongsoo Lee
MQ
29
30
0
08 Oct 2022
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision
  Tasks
Polyhistor: Parameter-Efficient Multi-Task Adaptation for Dense Vision Tasks
Yen-Cheng Liu
Chih-Yao Ma
Junjiao Tian
Zijian He
Z. Kira
126
47
0
07 Oct 2022
Hypercomplex Image-to-Image Translation
Hypercomplex Image-to-Image Translation
Eleonora Grassucci
Luigi Sigillo
A. Uncini
Danilo Comminiello
29
7
0
04 May 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening
Multi-View Hypercomplex Learning for Breast Cancer Screening
Eleonora Lopez
Eleonora Grassucci
Martina Valleriani
Danilo Comminiello
30
8
0
12 Apr 2022
IDPG: An Instance-Dependent Prompt Generation Method
IDPG: An Instance-Dependent Prompt Generation Method
Zhuofeng Wu
Sinong Wang
Jiatao Gu
Rui Hou
Yuxiao Dong
V. Vydiswaran
Hao Ma
VLM
38
58
0
09 Apr 2022
PERFECT: Prompt-free and Efficient Few-shot Learning with Language
  Models
PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models
Rabeeh Karimi Mahabadi
Luke Zettlemoyer
James Henderson
Marzieh Saeidi
Lambert Mathias
Ves Stoyanov
Majid Yazdani
VLM
31
69
0
03 Apr 2022
Parameter-efficient Model Adaptation for Vision Transformers
Parameter-efficient Model Adaptation for Vision Transformers
Xuehai He
Chunyuan Li
Pengchuan Zhang
Jianwei Yang
Qing Guo
30
84
0
29 Mar 2022
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq
  Generation
EdgeFormer: A Parameter-Efficient Transformer for On-Device Seq2seq Generation
Tao Ge
Si-Qing Chen
Furu Wei
MoE
29
21
0
16 Feb 2022
Color Image Inpainting via Robust Pure Quaternion Matrix Completion:
  Error Bound and Weighted Loss
Color Image Inpainting via Robust Pure Quaternion Matrix Completion: Error Bound and Weighted Loss
Junren Chen
Michael Kwok-Po Ng
16
20
0
04 Feb 2022
VL-Adapter: Parameter-Efficient Transfer Learning for
  Vision-and-Language Tasks
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks
Yi-Lin Sung
Jaemin Cho
Joey Tianyi Zhou
VLM
VPVLM
35
343
0
13 Dec 2021
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex
  Convolutions
PHNNs: Lightweight Neural Networks via Parameterized Hypercomplex Convolutions
Eleonora Grassucci
Aston Zhang
Danilo Comminiello
28
38
0
08 Oct 2021
Scale Efficiently: Insights from Pre-training and Fine-tuning
  Transformers
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers
Yi Tay
Mostafa Dehghani
J. Rao
W. Fedus
Samira Abnar
Hyung Won Chung
Sharan Narang
Dani Yogatama
Ashish Vaswani
Donald Metzler
206
110
0
22 Sep 2021
HopfE: Knowledge Graph Representation Learning using Inverse Hopf
  Fibrations
HopfE: Knowledge Graph Representation Learning using Inverse Hopf Fibrations
Anson Bastos
Kuldeep Singh
Abhishek Nadgeri
Saeedeh Shekarpour
I. Mulang'
Johannes Hoffart
27
18
0
12 Aug 2021
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Compacter: Efficient Low-Rank Hypercomplex Adapter Layers
Rabeeh Karimi Mahabadi
James Henderson
Sebastian Ruder
MoE
67
468
0
08 Jun 2021
Quaternion Convolutional Neural Networks for Heterogeneous Image
  Processing
Quaternion Convolutional Neural Networks for Heterogeneous Image Processing
Titouan Parcollet
Mohamed Morchid
G. Linarès
140
93
0
31 Oct 2018
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
213
1,367
0
06 Jun 2016
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