Image-based Recommendations on Styles and Substitutes

15 June 2015

Papers citing "Image-based Recommendations on Styles and Substitutes"

50 / 432 papers shown

Title
LFPT5: A Unified Framework for Lifelong Few-shot Language Learning Based on Prompt Tuning of T5 Chengwei Qin Shafiq Joty CLL 216 104 0 14 Oct 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding Jasmine Collins Shubham Goel Kenan Deng Achleshwar Luthra Leon L. Xu ... T. F. Y. Vicente T. Dideriksen H. Arora M. Guillaumin Jitendra Malik 231 232 0 12 Oct 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen Yankai Lin Guangxiang Zhao Xuancheng Ren Peng Li Jie Zhou Xu Sun 91 91 0 08 Oct 2021
Knothe-Rosenblatt transport for Unsupervised Domain Adaptation Aladin Virmaux Illyyne Saffar Jianfeng Zhang Balázs Kégl OOD 51 0 0 06 Oct 2021
Inductive learning for product assortment graph completion Haris Dukic Georgios Deligiorgis Pierpaolo Sepe D. Bacciu Marco Trincavelli CML 87 1 0 04 Oct 2021
Speeding-up One-vs-All Training for Extreme Classification via Smart Initialization Erik Schultheis Rohit Babbar 53 2 0 27 Sep 2021
Context-aware Tree-based Deep Model for Recommender Systems Daqing Chang Jintao Liu Xinhang Li Han Li Ziru Xu Xiaoqiang Zhu 59 3 0 22 Sep 2021
Releasing Graph Neural Networks with Differential Privacy Guarantees Iyiola E. Olatunji Thorben Funke Megha Khosla 118 47 0 18 Sep 2021
Cross-Market Product Recommendation Hamed Bonab Mohammad Aliannejadi Ali Vardasbi Evangelos Kanoulas James Allan 98 51 0 13 Sep 2021
Aspect-Controllable Opinion Summarization Reinald Kim Amplayo Stefanos Angelidis Mirella Lapata 76 75 0 07 Sep 2021
DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction Entony Lekhtman Yftah Ziser Roi Reichart 76 29 0 01 Sep 2021
Auxiliary Task Update Decomposition: The Good, The Bad and The Neutral Lucio Dery Yann N. Dauphin David Grangier MoMe 79 29 0 25 Aug 2021
Graph Neural Networks: Methods, Applications, and Opportunities Lilapati Waikhom Ripon Patgiri GNN 97 42 0 24 Aug 2021
MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation Hojoon Lee Dongyoon Hwang Sunghwan Hong Changyeon Kim Seungryong Kim Jaegul Choo 98 11 0 17 Aug 2021
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer Ziwei Fan Zhiwei Liu Jiawei Zhang Yun Xiong Lei Zheng Philip S. Yu 96 194 0 14 Aug 2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation Zhiwei Liu Yong-Guang Chen Jia Li Philip S. Yu Julian McAuley Caiming Xiong 72 171 0 14 Aug 2021
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
Attribute-aware Explainable Complementary Clothing Recommendation Yang Li Tong Chen Zi-Rui Huang 135 23 0 04 Jul 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks Hengrui Zhang Qitian Wu Junchi Yan David Wipf Philip S. Yu SSL 112 223 0 23 Jun 2021
BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 116 231 0 21 Jun 2021
GRAND: Graph Neural Diffusion B. Chamberlain J. Rowbottom Maria I. Gorinova Stefan Webb Emanuele Rossi M. Bronstein GNN 140 271 0 21 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 59 4 0 15 Jun 2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance Masaru Isonuma Junichiro Mori Danushka Bollegala Ichiro Sakata 61 27 0 15 Jun 2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Ziwei Fan Zhiwei Liu Lei Zheng Shen Wang Philip S. Yu 89 51 0 11 Jun 2021
Conversational Fashion Image Retrieval via Multiturn Natural Language Feedback Yifei Yuan W. Lam 49 43 0 08 Jun 2021
Graph Barlow Twins: A self-supervised representation learning framework for graphs Piotr Bielak Tomasz Kajdanowicz Nitesh Chawla SSL 70 141 0 04 Jun 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities Jitendra Parmar S. Chouhan Vaskar Raychoudhury S. Rathore OffRL 106 96 0 27 May 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 122 206 0 24 May 2021
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads John Thorpe Yifan Qiao Jon Eyolfson Shen Teng Guanzhou Hu ... Jinliang Wei Keval Vora Ravi Netravali Miryung Kim G. Xu GNN 71 144 0 24 May 2021
Zero-Shot Recommender Systems Hao Ding Yifei Ma Anoop Deoras Bernie Wang Hao Wang VLM 70 94 0 18 May 2021
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts Alisa Liu Maarten Sap Ximing Lu Swabha Swayamdipta Chandra Bhagavatula Noah A. Smith Yejin Choi MU 149 377 0 07 May 2021
Apparel Recommender System based on Bilateral image shape features Yichi Lu M. Gao R. Saga 26 2 0 04 May 2021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer Zhiwei Liu Ziwei Fan Yu Wang Philip S. Yu 166 151 0 02 May 2021
MRCBert: A Machine Reading ComprehensionApproach for Unsupervised Summarization Saurabh Jain Guokai Tang L. Chi 26 1 0 01 May 2021
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation Junsu Cho Dongmin Hyun SeongKu Kang Hwanjo Yu 60 32 0 29 Apr 2021
A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation Le Wu Xiangnan He Xiang Wang Kun Zhang Meng Wang HAI 168 299 0 27 Apr 2021
Represent Items by Items: An Enhanced Representation of the Target Item for Recommendation Yinjiang Cai Zeyu Cui Shu Wu Zhen Lei Xibo Ma 29 2 0 26 Apr 2021
PyPlutchik: visualising and comparing emotion-annotated corpora Alfonso Semeraro Salvatore Vilella G. Ruffo 51 42 0 19 Apr 2021
Mining Latent Structures for Multimedia Recommendation Jinghao Zhang Yanqiao Zhu Qiang Liu Shu Wu Shuhui Wang Liang Wang BDL 126 207 0 19 Apr 2021
Lorentzian Graph Convolutional Networks Yiding Zhang Xiao Wang C. Shi Nian Liu Guojie Song 68 98 0 15 Apr 2021
Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge Bodhisattwa Prasad Majumder Sudha Rao Michel Galley Julian McAuley 75 50 0 14 Apr 2021
Dynamic Modeling of User Preferences for Stable Recommendations Oluwafemi Olaleke Ivan Oseledets Evgeny Frolov 21 7 0 11 Apr 2021
Topological Regularization for Graph Neural Networks Augmentation Rui Song Fausto Giunchiglia Kexin Zhao Hao Xu 148 11 0 03 Apr 2021
Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks Curtis G. Northcutt Anish Athalye Jonas W. Mueller 145 544 0 26 Mar 2021
Design and Analysis of Bipartite Experiments under a Linear Exposure-Response Model Christopher Harshaw Fredrik Sävje David Eisenstat Vahab Mirrokni Jean Pouget-Abadie 107 34 0 11 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Self-supervised Regularization for Text Classification Meng Zhou Zechen Li P. Xie 62 16 0 09 Mar 2021
Explore User Neighborhood for Real-time E-commerce Recommendation Xu Xie Fei Sun Xiaoyong Yang Zhao Yang Jinyang Gao Wenwu Ou Tengjiao Wang 87 20 0 28 Feb 2021
Towards Robust Graph Contrastive Learning Nikola Jovanović Zhao Meng Lukas Faber Roger Wattenhofer SSL 79 33 0 25 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 171 339 0 22 Feb 2021