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Generating Negative Samples for Multi-Modal Recommendation
v1v2 (latest)

Generating Negative Samples for Multi-Modal Recommendation

25 January 2025
Yanbiao Ji
Yue Ding
Dan Luo
Chang Liu
Jing Tong
Shaokai Wu
Hongtao Lu
ArXiv (abs)PDFHTML

Papers citing "Generating Negative Samples for Multi-Modal Recommendation"

14 / 14 papers shown
Title
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
MiniCPM-V: A GPT-4V Level MLLM on Your Phone
Yuan Yao
Tianyu Yu
Ao Zhang
Chongyi Wang
Junbo Cui
...
Xu Han
Guoyang Zeng
Dahai Li
Zhiyuan Liu
Maosong Sun
VLMMLLM
151
481
0
03 Aug 2024
Qwen-VL: A Versatile Vision-Language Model for Understanding,
  Localization, Text Reading, and Beyond
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
Jinze Bai
Shuai Bai
Shusheng Yang
Shijie Wang
Sinan Tan
Peng Wang
Junyang Lin
Chang Zhou
Jingren Zhou
MLLMVLMObjD
211
945
0
24 Aug 2023
Concept-Aware Denoising Graph Neural Network for Micro-Video
  Recommendation
Concept-Aware Denoising Graph Neural Network for Micro-Video Recommendation
Yiyu Liu
Qian Liu
Yu Tian
Changping Wang
Yanan Niu
Yang Song
Chenliang Li
96
53
0
28 Sep 2021
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
141
698
0
15 Dec 2020
Hard Negative Mixing for Contrastive Learning
Hard Negative Mixing for Contrastive Learning
Yannis Kalantidis
Mert Bulent Sariyildiz
Noé Pion
Philippe Weinzaepfel
Diane Larlus
SSL
159
648
0
02 Oct 2020
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Reinforced Negative Sampling over Knowledge Graph for Recommendation
Xiang Wang
Yaokun Xu
Xiangnan He
Yixin Cao
Meng Wang
Tat-Seng Chua
OffRL
75
185
0
12 Mar 2020
LightGCN: Simplifying and Powering Graph Convolution Network for
  Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
213
3,733
0
06 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
670
42,867
0
03 Dec 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.5K
12,366
0
27 Aug 2019
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Graph Convolutional Neural Networks for Web-Scale Recommender Systems
Rex Ying
Ruining He
Kaifeng Chen
Pong Eksombatchai
William L. Hamilton
J. Leskovec
GNNBDL
414
3,579
0
06 Jun 2018
IRGAN: A Minimax Game for Unifying Generative and Discriminative
  Information Retrieval Models
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
Jun Wang
Lantao Yu
Weinan Zhang
Yu Gong
Yinghui Xu
Benyou Wang
Peng Zhang
Dell Zhang
121
606
0
30 May 2017
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Ruining He
Julian McAuley
BDL
105
917
0
06 Oct 2015
Image-based Recommendations on Styles and Substitutes
Image-based Recommendations on Styles and Substitutes
Julian McAuley
C. Targett
Javen Qinfeng Shi
Anton Van Den Hengel
155
2,429
0
15 Jun 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.6K
150,708
0
22 Dec 2014
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