Image-based Recommendations on Styles and Substitutes

15 June 2015

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

50 / 734 papers shown

Title
VIP5: Towards Multimodal Foundation Models for Recommendation Shijie Geng Juntao Tan Shuchang Liu Zuohui Fu Yongfeng Zhang 37 73 0 23 May 2023
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu Lin Zhang Xuanzhou Liu Jiaqi Sun Yue Zhao Haiqing Yang Bei Yu GNN 26 8 0 23 May 2023
CombLM: Adapting Black-Box Language Models through Small Fine-Tuned Models Aitor Ormazabal Mikel Artetxe Eneko Agirre 50 19 0 23 May 2023
Link Prediction without Graph Neural Networks Zexi Huang Mert Kosan A. Silva Ambuj K. Singh 68 3 0 23 May 2023
Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model Xiao Wang Wei Zhou Qi Zhang Jie Zhou Songyang Gao Junzhe Wang Menghan Zhang Xiang Gao Yunwen Chen Tao Gui 53 7 0 22 May 2023
Self-Explainable Graph Neural Networks for Link Prediction Huaisheng Zhu Dongsheng Luo Xianfeng Tang Junjie Xu Hui Liu Suhang Wang 23 1 0 21 May 2023
Patton: Language Model Pretraining on Text-Rich Networks Bowen Jin Wentao Zhang Yu Zhang Yu Meng Xinyang Zhang Qi Zhu Jiawei Han VLM 48 45 0 20 May 2023
Decouple knowledge from parameters for plug-and-play language modeling Xin Cheng Yankai Lin Preslav Nakov Dongyan Zhao Rui Yan KELM 37 2 0 19 May 2023
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation Zihua Si Zhongxiang Sun Xiao Zhang Jun Xu Xiaoxue Zang Yang Song Kun Gai Jirong Wen AI4TS 37 20 0 18 May 2023
A Unified Evaluation Framework for Novelty Detection and Accommodation in NLP with an Instantiation in Authorship Attribution Neeraj Varshney Himanshu Gupta Eric Robertson Bin Liu Chitta Baral 27 1 0 08 May 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback? Yushun Dong Jundong Li Tobias Schnabel 46 9 0 02 May 2023
A Simplified Framework for Contrastive Learning for Node Representations Ilgee Hong Huy Tran Claire Donnat SSL 24 1 0 01 May 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 84 35 0 28 Apr 2023
Conditional Denoising Diffusion for Sequential Recommendation Yu Wang Zhiwei Liu Liangwei Yang Philip S. Yu DiffM 20 25 0 22 Apr 2023
ID-MixGCL: Identity Mixup for Graph Contrastive Learning Gehang Zhang Yu Bowen Jiangxia Cao Xinghua Zhang Shuaiyi Nie Chuan Zhou Tingwen Liu 57 0 0 20 Apr 2023
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 42 9 0 17 Apr 2023
MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation Kibum Kim Dongmin Hyun Sukwon Yun Chanyoung Park 28 23 0 17 Apr 2023
Attention Mixtures for Time-Aware Sequential Recommendation Viet-Anh Tran Guillaume Salha-Galvan Bruno Sguerra Romain Hennequin 38 21 0 17 Apr 2023
Transformer-based Graph Neural Networks for Outfit Generation Federico Becattini Federico Maria Teotini A. Bimbo 21 7 0 17 Apr 2023
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation Qiang Liu Zhaocheng Liu Zhen Zhu Shu Wu Liang Wang OOD OODD 55 3 0 12 Apr 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT Jiawei Zhang LRM 50 77 0 10 Apr 2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie Heng Chang Ziwei Zhang Xin Eric Wang Daixin Wang Qing Cui Rex Ying Wenwu Zhu AAML 34 16 0 09 Apr 2023
Audience Expansion for Multi-show Release Based on an Edge-prompted Heterogeneous Graph Network Kai Song Shaofeng Wang Ziwei Xie Shanyu Wang Jiahong Li Yongqiang Yang 24 0 0 08 Apr 2023
Graph Collaborative Signals Denoising and Augmentation for Recommendation Ziwei Fan Ke Xu Zhang Dong Hao Peng Jiawei Zhang Philip S. Yu 42 41 0 06 Apr 2023
FMGNN: Fused Manifold Graph Neural Network Cheng Deng Fan Xu Jiaxing Ding Luoyi Fu Weinan Zhang Xinbing Wang 40 3 0 03 Apr 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 32 6 0 28 Mar 2023
Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization Minghan Shen Jie Ma Shuai Wang Yogarshi Vyas Kalpit Dixit Miguel Ballesteros Yassine Benajiba 36 6 0 21 Mar 2023
Feature propagation as self-supervision signals on graphs Oscar Pina Verónica Vilaplana SSL 12 1 0 15 Mar 2023
MobileRec: A Large-Scale Dataset for Mobile Apps Recommendation M. H. Maqbool Umar Farooq A. Mosharrof A.B. Siddique H. Foroosh 52 5 0 12 Mar 2023
AutoMLP: Automated MLP for Sequential Recommendations Muyang Li Zijian Zhang Xiangyu Zhao Wanyu Wang Minghao Zhao Runze Wu Ruocheng Guo AI4TS 25 44 0 11 Mar 2023
Semi-supervised Adversarial Learning for Complementary Item Recommendation Koby Bibas Oren Sar Shalom Dietmar Jannach 34 7 0 10 Mar 2023
Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts Gleb Bazhenov Denis Kuznedelev A. Malinin Artem Babenko Liudmila Prokhorenkova OOD 29 3 0 27 Feb 2023
On the Role of Reviewer Expertise in Temporal Review Helpfulness Prediction Mir Tafseer Nayeem Davood Rafiei 18 5 0 22 Feb 2023
How Accurate Does It Feel? -- Human Perception of Different Types of Classification Mistakes A. Papenmeier Dagmar Kern Daniel Hienert Yvonne Kammerer C. Seifert 36 19 0 13 Feb 2023
Review of Extreme Multilabel Classification Arpan Dasgupta Preeti Lamba Ankita Kushwaha Kiran Ravish Siddhant Katyan Shrutimoy Das Pawan Kumar 31 3 0 12 Feb 2023
Data Selection for Language Models via Importance Resampling Sang Michael Xie Shibani Santurkar Tengyu Ma Percy Liang 51 177 0 06 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 42 59 0 06 Feb 2023
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation Junjie Huang Qi Cao Ruobing Xie Shaoliang Zhang Feng Xia Huawei Shen Xueqi Cheng 32 9 0 05 Feb 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 36 30 0 29 Jan 2023
Adversarial Learning Networks: Source-free Unsupervised Domain Incremental Learning Abhinit Kumar Ambastha Tze-Yun Leong CLL OOD 25 1 0 28 Jan 2023
Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately Xin Cheng Shen Gao Yuchi Zhang Yongliang Wang Preslav Nakov Mingzhe Li Dongyan Zhao Rui Yan 34 10 0 27 Jan 2023
Federated Learning over Coupled Graphs Runze Lei Peijie Wang Junzhou Zhao Lin Lan Jing Tao Chao Deng Junlan Feng Xidian Wang Xiaohong Guan FedML 23 14 0 26 Jan 2023
Debiasing the Cloze Task in Sequential Recommendation with Bidirectional Transformers Khalil Damak Sami Khenissi O. Nasraoui BDL 37 7 0 22 Jan 2023
ERNIE 3.0 Tiny: Frustratingly Simple Method to Improve Task-Agnostic Distillation Generalization Weixin Liu Xuyi Chen Jiaxiang Liu Shi Feng Yu Sun Hao Tian Hua Wu 40 1 0 09 Jan 2023
Improving Sequential Recommendation Models with an Enhanced Loss Function Fan Li Shenbao Yu Feng Zeng Fang Yang 39 1 0 03 Jan 2023
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 31 51 0 18 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 47 5 0 13 Dec 2022
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information Zhiyuan Liu Chunjie Cao Jingzhang Sun 29 9 0 11 Dec 2022
Localized Contrastive Learning on Graphs Hengrui Zhang Qitian Wu Yu Wang Shaofeng Zhang Junchi Yan Philip S. Yu 29 9 0 08 Dec 2022
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks Zhongwei Wan Yichun Yin Wei Zhang Jiaxin Shi Lifeng Shang Guangyong Chen Xin Jiang Qun Liu VLM CLL 41 16 0 07 Dec 2022