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Pareto Invariant Representation Learning for Multimedia Recommendation

9 August 2023

Papers citing "Pareto Invariant Representation Learning for Multimedia Recommendation"

46 / 46 papers shown

Title
Balancing Unobserved Confounding with a Few Unbiased Ratings in Debiased Recommendations Haoxuan Li Yanghao Xiao Chunyuan Zheng Peng Wu CML 82 51 0 17 Apr 2023
A Generalized Doubly Robust Learning Framework for Debiasing Post-Click Conversion Rate Prediction Quanyu Dai Haoxuan Li Peng Wu Zhenhua Dong Xiao-Hua Zhou Rui Zhang Rui zhang Jie Sun 64 55 0 12 Nov 2022
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation Kailiang Zhong Fengtong Xiao Yan Ren Yaorong Liang Wenqing Yao Xiaofeng Yang Ling Cen CML 31 21 0 19 Jul 2022
StableDR: Stabilized Doubly Robust Learning for Recommendation on Data Missing Not at Random Haoxuan Li Chunyuan Zheng Peng Wu 75 49 0 10 May 2022
ESCM $^2$ : Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation Hao Wang Tai-Wei Chang Tianqiao Liu Jia-Bin Huang Zhichao Chen Chao-hui Yu Ruopeng Li Wei Chu 80 94 0 03 Apr 2022
Towards Domain Generalization in Object Detection Xingxuan Zhang Zekai Xu Renzhe Xu Jiashuo Liu Peng Cui Weitao Wan Chong Sun Chen Li ObjD OOD 92 24 0 27 Mar 2022
TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations Haoxuan Li Yan Lyu Chunyuan Zheng Peng Wu 78 45 0 19 Mar 2022
ZIN: When and How to Learn Invariance Without Environment Partition? Yong Lin Shengyu Zhu Lu Tan Peng Cui OOD CML 66 69 0 11 Mar 2022
Regulatory Instruments for Fair Personalized Pricing Renzhe Xu Xingxuan Zhang Pengbi Cui Yangqiu Song Zheyan Shen Jiazheng Xu 59 15 0 09 Feb 2022
Kernelized Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 64 35 0 24 Oct 2021
Learning Representations that Support Robust Transfer of Predictors Yilun Xu Tommi Jaakkola OOD 27 26 0 19 Oct 2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation Siyuan Guo Lixin Zou Yiding Liu Wenwen Ye Suqi Cheng Shuaiqiang Wang Hechang Chen Dawei Yin Yi-Ju Chang 41 93 0 28 May 2021
AutoDebias: Learning to Debias for Recommendation Jiawei Chen Hande Dong Yang Qiu Xiangnan He Xin Xin Liang Chen Guli Lin Keping Yang CML 118 205 0 10 May 2021
Heterogeneous Risk Minimization Jiashuo Liu Zheyuan Hu Peng Cui Yangqiu Song Zheyan Shen OOD 56 145 0 09 May 2021
Mining Latent Structures for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Shu Wu Shuhui Wang Liang Wang BDL 106 198 0 19 Apr 2021
Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback Zifeng Wang Xi Chen Rui Wen Shao-Lun Huang E. Kuruoglu Yefeng Zheng BDL CML OffRL 46 83 0 06 Sep 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 168 326 0 29 Apr 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 323 938 0 02 Mar 2020
Invariant Risk Minimization Games Kartik Ahuja Karthikeyan Shanmugam Kush R. Varshney Amit Dhurandhar OOD 74 251 0 11 Feb 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang Meng Wang GNN 191 3,674 0 06 Feb 2020
Pareto Multi-Task Learning Xi Lin Hui-Ling Zhen Zhenhua Li Qingfu Zhang Sam Kwong 85 351 0 30 Dec 2019
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 547 42,591 0 03 Dec 2019
Learning Disentangled Representations for Recommendation Jianxin Ma Chang Zhou Peng Cui Hongxia Yang Wenwu Zhu CML DRL 90 310 0 31 Oct 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,301 0 27 Aug 2019
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks Jiasen Lu Dhruv Batra Devi Parikh Stefan Lee SSL VLM 243 3,695 0 06 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 195 2,242 0 05 Jul 2019
Adapting Neural Networks for the Estimation of Treatment Effects Claudia Shi David M. Blei Victor Veitch CML 148 376 0 05 Jun 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 187 2,991 0 20 May 2019
Session-based Recommendation with Graph Neural Networks Shu Wu Yuyuan Tang Yanqiao Zhu Liang Wang Xing Xie Tieniu Tan GNN 74 1,561 0 01 Nov 2018
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 169 1,288 0 10 Oct 2018
Perfect Match: A Simple Method for Learning Representations For Counterfactual Inference With Neural Networks Patrick Schwab Lorenz Linhardt W. Karlen CML BDL 57 111 0 01 Oct 2018
Aesthetic-based Clothing Recommendation Wenhui Yu Huidi Zhang Xiangnan He Xu Chen Li Xiong Zheng Qin 50 194 0 16 Sep 2018
Quasi-Oracle Estimation of Heterogeneous Treatment Effects Xinkun Nie Stefan Wager CML 162 653 0 13 Dec 2017
Visually-Aware Fashion Recommendation and Design with Generative Image Models Wang-Cheng Kang Chen Fang Zhaowen Wang Julian McAuley 62 251 0 07 Nov 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 605 2,240 0 25 Jul 2017
Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning Sören R. Künzel Jasjeet Sekhon Peter J. Bickel Bin Yu CML 164 928 0 12 Jun 2017
CNN Architectures for Large-Scale Audio Classification Shawn Hershey Sourish Chaudhuri D. Ellis J. Gemmeke A. Jansen ... Rif A. Saurous Bryan Seybold M. Slaney Ron J. Weiss K. Wilson 128 2,509 0 29 Sep 2016
Learning Representations for Counterfactual Inference Fredrik D. Johansson Uri Shalit David Sontag CML OOD BDL 288 729 0 12 May 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 164 686 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
Estimation and Inference of Heterogeneous Treatment Effects using Random Forests Stefan Wager Susan Athey SyDa CML 368 2,490 0 14 Oct 2015
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback Ruining He Julian McAuley BDL 98 906 0 06 Oct 2015
Causal inference using invariant prediction: identification and confidence intervals J. Peters Peter Buhlmann N. Meinshausen OOD 122 973 0 06 Jan 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,508 0 04 Sep 2014
Collaborative Filtering and the Missing at Random Assumption Benjamin M. Marlin R. Zemel S. Roweis Malcolm Slaney 77 314 0 20 Jun 2012
BART: Bayesian additive regression trees H. Chipman E. George R. McCulloch 158 1,795 0 19 Jun 2008