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

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

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"

24 / 24 papers shown
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
From ID-based to ID-free: Rethinking ID Effectiveness in Multimodal Collaborative Filtering Recommendation
Guohao Li
Li Jing
J. Wu
X. Li
Kai Zhu
Yue He
125
3
0
08 Jul 2025
ImageBind: One Embedding Space To Bind Them All
ImageBind: One Embedding Space To Bind Them AllComputer Vision and Pattern Recognition (CVPR), 2023
Rohit Girdhar
Alaaeldin El-Nouby
Zhuang Liu
Mannat Singh
Kalyan Vasudev Alwala
Armand Joulin
Ishan Misra
VLM
553
1,305
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-commerceComputer Vision and Pattern Recognition (CVPR), 2023
Yang Jin
Yongzhi Li
Zehuan Yuan
Yadong Mu
168
20
0
06 Apr 2023
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations
DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited AnnotationsNeural Information Processing Systems (NeurIPS), 2022
Ximeng Sun
Ping Hu
Kate Saenko
VLM
255
162
0
20 Jun 2022
Prompt-aligned Gradient for Prompt Tuning
Prompt-aligned Gradient for Prompt TuningIEEE International Conference on Computer Vision (ICCV), 2022
B. Zhu
Yulei Niu
Yucheng Han
Yuehua Wu
Hanwang Zhang
VLM
728
420
0
30 May 2022
Conditional Prompt Learning for Vision-Language Models
Conditional Prompt Learning for Vision-Language ModelsComputer Vision and Pattern Recognition (CVPR), 2022
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VLMCLIPVPVLM
513
1,873
0
10 Mar 2022
Latent Structure Mining with Contrastive Modality Fusion for Multimedia Recommendation
Latent Structure Mining with Contrastive Modality Fusion for Multimedia RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Mengqi Zhang
Shu Wu
Liang Wang
275
77
0
01 Nov 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
1.6K
15,460
0
17 Jun 2021
Mining Latent Structures for Multimedia Recommendation
Mining Latent Structures for Multimedia RecommendationACM Multimedia (ACM MM), 2021
Jinghao Zhang
Yanqiao Zhu
Qiang Liu
Shu Wu
Shuhui Wang
Liang Wang
BDL
288
309
0
19 Apr 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt TuningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
1.4K
4,984
0
18 Apr 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language SupervisionInternational Conference on Machine Learning (ICML), 2021
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
2.0K
41,575
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
840
1,564
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
1.4K
55,389
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
374
6,107
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 ApproachAAAI Conference on Artificial Intelligence (AAAI), 2020
Lei Chen
Le Wu
Richang Hong
Kun Zhang
Meng Wang
GNN
243
598
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
405
1,301
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
162
1,364
0
17 Aug 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
4.2K
162,388
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 LocalizationInternational Journal of Computer Vision (IJCV), 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
922
24,286
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
1.0K
10,214
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
3.7K
217,813
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
247
1,068
0
06 Oct 2015
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional NetworksEuropean Conference on Computer Vision (ECCV), 2013
Matthew D. Zeiler
Rob Fergus
FAttSSL
1.1K
16,660
0
12 Nov 2013
Personalized Social Recommendations - Accurate or Private?
Personalized Social Recommendations - Accurate or Private?Proceedings of the VLDB Endowment (PVLDB), 2011
Ashwin Machanavajjhala
Aleksandra Korolova
Atish Das Sarma
221
198
0
21 May 2011