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Adversarial Sampling and Training for Semi-Supervised Information
  Retrieval
v1v2 (latest)

Adversarial Sampling and Training for Semi-Supervised Information Retrieval

9 November 2018
Dae Hoon Park
Yi-Ju Chang
    FedML
ArXiv (abs)PDFHTML

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

13 / 13 papers shown
Title
ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
Haibo Xing
Kanefumi Matsuyama
Hao Deng
Jinxin Hu
Yu Zhang
Xiaoyi Zeng
86
0
0
22 Feb 2025
MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation
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
125
3
0
12 Feb 2025
Rethinking Collaborative Metric Learning: Toward an Efficient
  Alternative without Negative Sampling
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling
Shilong Bao
Qianqian Xu
Zhiyong Yang
Xiaochun Cao
Qingming Huang
66
14
0
23 Jun 2022
Bayesian Negative Sampling for Recommendation
Bayesian Negative Sampling for Recommendation
B. Liu
Bang-wei Wang
BDL
69
9
0
02 Apr 2022
Learning Explicit User Interest Boundary for Recommendation
Learning Explicit User Interest Boundary for Recommendation
Jianhuan Zhuo
Qiannan Zhu
Yinliang Yue
Yuhong Zhao
57
19
0
22 Nov 2021
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Knowledge Graph-enhanced Sampling for Conversational Recommender System
Mengyuan Zhao
Xiaowen Huang
Lixi Zhu
Jitao Sang
Jian Yu
47
3
0
13 Oct 2021
Understanding the Effects of Adversarial Personalized Ranking
  Optimization Method on Recommendation Quality
Understanding the Effects of Adversarial Personalized Ranking Optimization Method on Recommendation Quality
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Felice Antonio Merra
37
0
0
29 Jul 2021
Adversarial Training for Code Retrieval with Question-Description
  Relevance Regularization
Adversarial Training for Code Retrieval with Question-Description Relevance Regularization
Jie Zhao
Huan Sun
70
5
0
19 Oct 2020
Evaluating a Generative Adversarial Framework for Information Retrieval
Evaluating a Generative Adversarial Framework for Information Retrieval
Ameet Deshpande
Mitesh M. Khapra
42
0
0
01 Oct 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative
  Filtering
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
Jingtao Ding
Yuhan Quan
Quanming Yao
Yong Li
Depeng Jin
74
100
0
07 Sep 2020
Semi-Supervised Dialogue Policy Learning via Stochastic Reward
  Estimation
Semi-Supervised Dialogue Policy Learning via Stochastic Reward Estimation
Xinting Huang
Jianzhong Qi
Yu Sun
Rui Zhang
OffRL
134
18
0
09 May 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
Fast Adaptively Weighted Matrix Factorization for Recommendation with
  Implicit Feedback
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
100
59
0
04 Mar 2020
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