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BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation
v1v2 (latest)

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

1 June 2024
Qile Fan
Penghang Yu
Zhiyi Tan
Bing-Kun Bao
Guanming Lu
ArXiv (abs)PDFHTML

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
279
1,052
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
92
16
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
139
143
0
20 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt Tuning
B. Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
413
343
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
VLMCLIPVPVLM
309
1,538
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
109
51
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
OffRLAI4TSAI4CEALMAIMat
1.1K
12,240
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
183
240
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
1.0K
4,409
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
CLIPVLM
1.4K
33,770
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
400
1,342
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
977
45,714
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
251
5,494
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
143
533
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
Helen Zhou
FAtt
159
1,142
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
110
1,181
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
1.5K
141,075
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
744
21,365
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
SSLSSegFAtt
540
9,575
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
3.0K
200,955
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
165
967
0
06 Oct 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
730
16,118
0
12 Nov 2013
Personalized Social Recommendations - Accurate or Private?
Personalized Social Recommendations - Accurate or Private?
Ashwin Machanavajjhala
Aleksandra Korolova
Atish Das Sarma
144
195
0
21 May 2011
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