IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

30 May 2017

Papers citing "IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models"

49 / 49 papers shown

Title
Towards Distribution Matching between Collaborative and Language Spaces for Generative Recommendation Yi-cui Zhang Yiwen Zhang Y. X. R. Wang Tong Chen Hongzhi Yin 28 0 0 10 Apr 2025
Hyperbolic Diffusion Recommender Model Meng Yuan Yutian Xiao Wei Chen Chu Zhao Deqing Wang Fuzhen Zhuang 39 1 0 02 Apr 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation Xiangjin Xie Yiran Chen Ruipeng Wang Kai Ouyang Zihan Zhang ... Buyue Qian Hansen Zheng Bo Hu Chengxiang Zhuo Zang Li 74 3 0 12 Feb 2025
Generating Negative Samples for Multi-Modal Recommendation Yanbiao Ji Yue Ding Dan Luo Chang Liu Jing Tong Shaokai Wu Hongtao Lu 39 0 0 25 Jan 2025
Agentic Information Retrieval Weinan Zhang Junwei Liao Ning Li Kounianhua Du Jianghao Lin AIFin 55 2 0 13 Oct 2024
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation Zanlin Ni Yulin Wang Renping Zhou Rui Lu Jiayi Guo Jinyi Hu Zhiyuan Liu Yuan Yao Gao Huang 37 7 0 31 Aug 2024
Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity H. Chung Jungtaek Kim Hyungeun Jo Hyungwon Choi 50 0 0 01 Aug 2024
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity Yukui Hou Jin-Duk Park Won-Yong Shin 26 13 0 22 Apr 2024
Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas Yuening Wang Yingxue Zhang Mark J. Coates CLL 48 1 0 06 Mar 2024
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation Xinting Liao Weiming Liu Xiaolin Zheng Binhui Yao Chaochao Chen 39 13 0 11 May 2023
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 17 40 0 17 Nov 2022
Generating Negative Samples for Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 30 4 0 07 Aug 2022
Cooperative Retriever and Ranker in Deep Recommenders Xunpeng Huang Defu Lian Jin Chen Liu Zheng Xing Xie Enhong Chen VLM AI4TS 30 11 0 28 Jun 2022
ELECRec: Training Sequential Recommenders as Discriminators Yong-Guang Chen Jia Li Caiming Xiong 29 15 0 05 Apr 2022
Bayesian Negative Sampling for Recommendation B. Liu Bang-wei Wang BDL 25 9 0 02 Apr 2022
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 25 3 0 02 Dec 2021
Learning Explicit User Interest Boundary for Recommendation Jianhuan Zhuo Qiannan Zhu Yinliang Yue Yuhong Zhao 11 17 0 22 Nov 2021
From Intrinsic to Counterfactual: On the Explainability of Contextualized Recommender Systems Yao Zhou Haonan Wang Jingrui He Haixun Wang 32 15 0 28 Oct 2021
Knowledge Graph-enhanced Sampling for Conversational Recommender System Mengyuan Zhao Xiaowen Huang Lixi Zhu Jitao Sang Jian Yu 23 3 0 13 Oct 2021
Top-N Recommendation with Counterfactual User Preference Simulation Girish A. Koushik Quanyu Dai Zhenhua Dong Xu Chen Xiuqiang He Jun Wang CML BDL 45 64 0 02 Sep 2021
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack Fan Wu Min Gao Junliang Yu Zongwei Wang Kecheng Liu Wange Xu AAML 21 34 0 22 Jul 2021
Scalable Personalised Item Ranking through Parametric Density Estimation Riku Togashi Masahiro Kato Mayu Otani T. Sakai Shiníchi Satoh 38 0 0 11 May 2021
Adversarial and Contrastive Variational Autoencoder for Sequential Recommendation Zhe Xie Chengxuan Liu Yichi Zhang Hongtao Lu Dong Wang Yue Ding BDL DRL 36 91 0 19 Mar 2021
GAN-based Recommendation with Positive-Unlabeled Sampling Yao Zhou Jianpeng Xu Jun Wu Zeinab Taghavi Nasrabadi Evren Körpeoglu Kannan Achan Jingrui He 25 4 0 12 Dec 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding Yuhan Quan Quanming Yao Yong Li Depeng Jin 16 97 0 07 Sep 2020
CnGAN: Generative Adversarial Networks for Cross-network user preference generation for non-overlapped users Dilruk Perera Roger Zimmermann 33 27 0 25 Aug 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training Abdul Jabbar Xi Li Bourahla Omar 25 266 0 09 Jun 2020
Sequential Recommendation with Self-Attentive Multi-Adversarial Network Ruiyang Ren Zhaoyang Liu Yaliang Li Wayne Xin Zhao Hongya Wang Bolin Ding Ji-Rong Wen GAN 14 107 0 21 May 2020
Learning Robust Models for e-Commerce Product Search Thanh V. Nguyen Nikhil S. Rao Karthik Subbian CML NoLa OOD 24 20 0 07 May 2020
A Generic Network Compression Framework for Sequential Recommender Systems Yang Sun Fajie Yuan Ming Yang Guoao Wei Zhou Zhao Duo Liu 26 54 0 21 Apr 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback Jiawei Chen Can Wang Sheng Zhou Qihao Shi Jingbang Chen Yan Feng Chun-Yen Chen OffRL 45 56 0 04 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 28 818 0 20 Jan 2020
Enhancing VAEs for Collaborative Filtering: Flexible Priors & Gating Mechanisms Daeryong Kim B. Suh 24 50 0 03 Nov 2019
BanditRank: Learning to Rank Using Contextual Bandits Phanideep Gampa Sumio Fujita OffRL 21 10 0 23 Oct 2019
Disentangled Inference for GANs with Latently Invertible Autoencoder Jiapeng Zhu Deli Zhao Bo-Wen Zhang Bolei Zhou GAN DRL 30 35 0 19 Jun 2019
Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation Fajie Yuan Xiangnan He Haochuan Jiang G. Guo Jian Xiong Zhezhao Xu Yilin Xiong AI4TS 18 103 0 11 Jun 2019
Deep Adversarial Network Alignment Tyler Derr Hamid Karimi Xiaorui Liu Jiejun Xu Jiliang Tang FedML GAN 11 48 0 27 Feb 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 22 23 0 16 Jan 2019
Adversarial Sampling and Training for Semi-Supervised Information Retrieval Dae Hoon Park Yi-Ju Chang FedML 16 101 0 09 Nov 2018
Adversarial Personalized Ranking for Recommendation Xiangnan He Zhankui He Xiaoyu Du Tat-Seng Chua 32 394 0 12 Aug 2018
Adversarial Learning for Fine-grained Image Search Kevin Qinghong Lin Fan Yang Qiaosong Wang Robinson Piramuthu GAN 30 10 0 06 Jul 2018
Addressing the Item Cold-start Problem by Attribute-driven Active Learning Y. Zhu Jinhao Lin S. He Beidou Wang Ziyu Guan Haifeng Liu Deng Cai 9 130 0 23 May 2018
GANE: A Generative Adversarial Network Embedding Huiting Hong Xin Li Mingzhong Wang GAN 18 30 0 18 May 2018
SQL-Rank: A Listwise Approach to Collaborative Ranking Liwei Wu Cho-Jui Hsieh James Sharpnack 22 38 0 28 Feb 2018
Texygen: A Benchmarking Platform for Text Generation Models Yaoming Zhu Sidi Lu Lei Zheng Jiaxian Guo Weinan Zhang Jun Wang Yong Yu 44 665 0 06 Feb 2018
Unsupervised Generative Adversarial Cross-modal Hashing Jian Zhang Yuxin Peng Mingkuan Yuan GAN 11 196 0 01 Dec 2017
HashGAN:Attention-aware Deep Adversarial Hashing for Cross Modal Retrieval Xi Zhang Siyu Zhou Jiashi Feng Hanjiang Lai Bo Li Yan Pan Jian Yin Bo An GAN 29 55 0 26 Nov 2017
Content-Based Weak Supervision for Ad-Hoc Re-Ranking Sean MacAvaney Andrew Yates Kai Hui O. Frieder 30 44 0 01 Jul 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 264 13,368 0 25 Aug 2014