Adversarial Sampling and Training for Semi-Supervised Information Retrieval

9 November 2018

Papers citing "Adversarial Sampling and Training for Semi-Supervised Information Retrieval"

10 / 10 papers shown

Title
Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval Yongkang Li Panagiotis Eustratiadis Simon Lupart Evangelos Kanoulas AAML 53 0 0 24 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 Sequential Recommendation Yong-Guang Chen Jia Li Zhiwei Liu N. Keskar Haiquan Wang Julian McAuley Caiming Xiong 35 4 0 07 Aug 2022
Bayesian Negative Sampling for Recommendation B. Liu Bang-wei Wang BDL 27 9 0 02 Apr 2022
Learning Explicit User Interest Boundary for Recommendation Jianhuan Zhuo Qiannan Zhu Yinliang Yue Yuhong Zhao 11 17 0 22 Nov 2021
Knowledge Graph-enhanced Sampling for Conversational Recommender System Mengyuan Zhao Xiaowen Huang Lixi Zhu Jitao Sang Jian Yu 26 3 0 13 Oct 2021
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
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation Xinting Huang Jianzhong Qi Yu Sun Rui Zhang OffRL 69 18 0 09 May 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
Regularized Adversarial Sampling and Deep Time-aware Attention for Click-Through Rate Prediction Yikai Wang Liang Zhang Quanyu Dai F. Sun Bo Zhang Yang He Weipeng P. Yan Yongjun Bao OOD 18 13 0 03 Nov 2019