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BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

1 June 2024
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
ArXivPDFHTML

Papers citing "BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation"

23 / 23 papers shown
Title
ImageBind: One Embedding Space To Bind Them All
ImageBind: One Embedding Space To Bind Them All
Rohit Girdhar
Alaaeldin El-Nouby
Zhuang Liu
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
VLM
113
927
0
09 May 2023
Learning Instance-Level Representation for Large-Scale Multi-Modal
  Pretraining in E-commerce
Learning Instance-Level Representation for Large-Scale Multi-Modal Pretraining in E-commerce
Yang Jin
Yongzhi Li
Zehuan Yuan
Yadong Mu
55
14
0
06 Apr 2023
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited
  Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
Ximeng Sun
Ping Hu
Kate Saenko
VLM
62
122
0
20 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
Beier Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
246
290
0
30 May 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLM
CLIP
VPVLM
98
1,344
0
10 Mar 2022
Latent Structure Mining with Contrastive Modality Fusion for Multimedia
  Recommendation
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Mengqi Zhang
Shu Wu
Liang Wang
63
38
0
01 Nov 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
AI4TS
AI4CE
ALM
AIMat
373
10,273
0
17 Jun 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia Recommendation
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
83
198
0
19 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
514
4,032
0
18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
828
29,341
0
26 Feb 2021
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
123
1,225
0
04 Nov 2020
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
557
40,961
0
22 Oct 2020
Evaluation: from precision, recall and F-measure to ROC, informedness,
  markedness and correlation
Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation
D. Powers
164
5,276
0
11 Oct 2020
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph
  Convolutional Network Approach
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
71
501
0
28 Jan 2020
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural
  Networks
Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks
Mehdi Neshat
Zifan Wang
Bradley Alexander
Fan Yang
Zijian Zhang
Sirui Ding
Markus Wagner
Xia Hu
FAtt
86
1,066
0
03 Oct 2019
Natural Language Processing: State of The Art, Current Trends and
  Challenges
Natural Language Processing: State of The Art, Current Trends and Challenges
Diksha Khurana
Aditya Koli
Kiran Khatter
Sukhdev Singh
51
1,059
0
17 Aug 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
658
131,414
0
12 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
270
19,981
0
07 Oct 2016
Learning Deep Features for Discriminative Localization
Learning Deep Features for Discriminative Localization
Bolei Zhou
A. Khosla
Àgata Lapedriza
A. Oliva
Antonio Torralba
SSL
SSeg
FAtt
243
9,305
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.1K
193,814
0
10 Dec 2015
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Ruining He
Julian McAuley
BDL
93
905
0
06 Oct 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
574
15,874
0
12 Nov 2013
Personalized Social Recommendations - Accurate or Private?
Personalized Social Recommendations - Accurate or Private?
Ashwin Machanavajjhala
Aleksandra Korolova
Atish Das Sarma
63
195
0
21 May 2011
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