{"total":70,"rows":[{"id":"2104.08821","title":"SimCSE: Simple Contrastive Learning of Sentence Embeddings","created":"2021-04-18","cited_by_count":2173,"area":null},{"id":"2112.09118","title":"Unsupervised Dense Information Retrieval with Contrastive Learning","created":"2021-12-16","cited_by_count":1216,"area":null},{"id":"2202.03104","title":"SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation","created":"2022-02-07","cited_by_count":171,"area":null},{"id":"2110.11316","title":"CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP","created":"2021-10-21","cited_by_count":89,"area":null},{"id":"2108.11792","title":"A Statutory Article Retrieval Dataset in French","created":"2021-08-26","cited_by_count":40,"area":null},{"id":"2202.13469","title":"UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining","created":"2022-02-27","cited_by_count":33,"area":null},{"id":"2201.12093","title":"PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings","created":"2022-01-28","cited_by_count":29,"area":null},{"id":"2109.02244","title":"Self-supervised Product Quantization for Deep Unsupervised Image Retrieval","created":"2021-09-06","cited_by_count":28,"area":null},{"id":"2303.10816","title":"IMF: Interactive Multimodal Fusion Model for Link Prediction","created":"2023-03-20","cited_by_count":28,"area":null},{"id":"2305.16726","title":"RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank","created":"2023-05-26","cited_by_count":23,"area":null},{"id":"2205.14912","title":"E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation","created":"2022-05-30","cited_by_count":19,"area":null},{"id":"2302.03472","title":"On the Theories Behind Hard Negative Sampling for Recommendation","created":"2023-02-07","cited_by_count":18,"area":null},{"id":"2402.17238","title":"Does Negative Sampling Matter? A Review with Insights into its Theory and Applications","created":"2024-02-27","cited_by_count":15,"area":null},{"id":"2206.11549","title":"Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling","created":"2022-06-23","cited_by_count":14,"area":null},{"id":"2210.07733","title":"Fine-grained Category Discovery under Coarse-grained supervision with Hierarchical Weighted Self-contrastive Learning","created":"2022-10-14","cited_by_count":13,"area":null},{"id":"2209.05972","title":"Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling","created":"2022-09-13","cited_by_count":12,"area":null},{"id":"2105.05736","title":"Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces","created":"2021-05-12","cited_by_count":9,"area":null},{"id":"2203.07860","title":"Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost","created":"2022-03-15","cited_by_count":9,"area":null},{"id":"2301.12847","title":"Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks","created":"2023-01-30","cited_by_count":9,"area":null},{"id":"2409.01012","title":"Improved Diversity-Promoting Collaborative Metric Learning for Recommendation","created":"2024-09-02","cited_by_count":9,"area":null},{"id":"2109.09587","title":"Recommender systems based on graph embedding techniques: A comprehensive review","created":"2021-09-20","cited_by_count":8,"area":null},{"id":"2201.04768","title":"On Sampling Collaborative Filtering Datasets","created":"2022-01-13","cited_by_count":8,"area":null},{"id":"2209.13262","title":"Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability","created":"2022-09-27","cited_by_count":8,"area":null},{"id":"2308.06091","title":"Toward a Better Understanding of Loss Functions for Collaborative Filtering","created":"2023-08-11","cited_by_count":8,"area":null},{"id":"2109.00217","title":"Multi-Sample based Contrastive Loss for Top-k Recommendation","created":"2021-09-01","cited_by_count":7,"area":null},{"id":"2312.10110","title":"Enhancing Cognitive Diagnosis using Un-interacted Exercises: A Collaboration-aware Mixed Sampling Approach","created":"2023-12-15","cited_by_count":7,"area":null},{"id":"2102.10557","title":"Contrastive Self-supervised Neural Architecture Search","created":"2021-02-21","cited_by_count":5,"area":null},{"id":"2209.06692","title":"FreeGaze: Resource-efficient Gaze Estimation via Frequency Domain Contrastive Learning","created":"2022-09-14","cited_by_count":5,"area":null},{"id":"2210.09773","title":"Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation","created":"2022-10-18","cited_by_count":5,"area":null},{"id":"2312.08520","title":"Revisiting Recommendation Loss Functions through Contrastive Learning (Technical Report)","created":"2023-12-13","cited_by_count":5,"area":null},{"id":"2204.00752","title":"Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation","created":"2022-04-02","cited_by_count":4,"area":null},{"id":"2209.00990","title":"Self-Supervised Human Activity Recognition with Localized Time-Frequency Contrastive Representation Learning","created":"2022-08-26","cited_by_count":4,"area":null},{"id":"2209.07837","title":"Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection","created":"2022-09-16","cited_by_count":4,"area":null},{"id":"2409.19680","title":"Instruction Embedding: Latent Representations of Instructions Towards Task Identification","created":"2024-09-29","cited_by_count":4,"area":null},{"id":"2503.03360","title":"Transformers for molecular property prediction: Domain adaptation efficiently improves performance","created":"2025-03-05","cited_by_count":4,"area":null},{"id":"2301.12197","title":"Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation","created":"2023-01-28","cited_by_count":3,"area":null},{"id":"2308.10077","title":"Contrastive Learning for Non-Local Graphs with Multi-Resolution Structural Views","created":"2023-08-19","cited_by_count":3,"area":null},{"id":"2401.16012","title":"Finding Challenging Metaphors that Confuse Pretrained Language Models","created":"2024-01-29","cited_by_count":3,"area":null},{"id":"2405.20527","title":"Towards Ontology-Enhanced Representation Learning for Large Language Models","created":"2024-05-30","cited_by_count":3,"area":null},{"id":"2110.15725","title":"Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks","created":"2021-10-10","cited_by_count":2,"area":null},{"id":"2203.04703","title":"LEMON: LanguagE ModeL for Negative Sampling of Knowledge Graph Embeddings","created":"2022-03-09","cited_by_count":2,"area":null},{"id":"2205.06603","title":"Improving Contextual Representation with Gloss Regularized Pre-training","created":"2022-05-13","cited_by_count":2,"area":null},{"id":"2210.12314","title":"A Benchmark Study of Contrastive Learning for Arabic Social Meaning","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2212.10391","title":"Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification","created":"2022-12-20","cited_by_count":2,"area":null},{"id":"2306.12086","title":"What Constitutes Good Contrastive Learning in Time-Series Forecasting?","created":"2023-06-21","cited_by_count":2,"area":null},{"id":"2306.15905","title":"Dimension Independent Mixup for Hard Negative Sample in Collaborative Filtering","created":"2023-06-28","cited_by_count":2,"area":null},{"id":"2403.18667","title":"Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users","created":"2024-03-27","cited_by_count":2,"area":null},{"id":"2410.04765","title":"Molecular topological deep learning for polymer property prediction","created":"2024-10-07","cited_by_count":2,"area":null},{"id":"2106.15467","title":"Few-Shot Electronic Health Record Coding through Graph Contrastive Learning","created":"2021-06-29","cited_by_count":1,"area":null},{"id":"2203.07648","title":"Contrastive Learning of Sociopragmatic Meaning in Social Media","created":"2022-03-15","cited_by_count":1,"area":null},{"id":"2204.06520","title":"Bayesian Negative Sampling for Recommendation","created":"2022-04-02","cited_by_count":1,"area":null},{"id":"2210.13845","title":"DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection","created":"2022-10-25","cited_by_count":1,"area":null},{"id":"2211.06452","title":"Cross-Platform and Cross-Domain Abusive Language Detection with Supervised Contrastive Learning","created":"2022-11-11","cited_by_count":1,"area":null},{"id":"2301.08193","title":"JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its Applications","created":"2023-01-19","cited_by_count":1,"area":null},{"id":"2304.04935","title":"Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts","created":"2023-04-11","cited_by_count":1,"area":null},{"id":"2305.05827","title":"Inclusive FinTech Lending via Contrastive Learning and Domain Adaptation","created":"2023-05-10","cited_by_count":1,"area":null},{"id":"2305.16391","title":"Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2407.08108","title":"CADC: Encoding User-Item Interactions for Compressing Recommendation Model Training Data","created":"2024-07-11","cited_by_count":1,"area":null},{"id":"2407.17070","title":"Curriculum Negative Mining For Temporal Networks","created":"2024-07-24","cited_by_count":1,"area":null},{"id":"2410.18094","title":"Self-supervised inter-intra period-aware ECG representation learning for detecting atrial fibrillation","created":"2024-10-08","cited_by_count":1,"area":null},{"id":"2411.05900","title":"Enhancing Cardiovascular Disease Prediction through Multi-Modal Self-Supervised Learning","created":"2024-11-08","cited_by_count":1,"area":null},{"id":"2504.07101","title":"Personalized Recommendation Models in Federated Settings: A Survey","created":"2025-03-10","cited_by_count":1,"area":null},{"id":"2509.18775","title":"Financial Risk Relation Identification through Dual-view Adaptation","created":"2025-09-23","cited_by_count":1,"area":null},{"id":"2306.09594","title":"CMLM-CSE: Based on Conditional MLM Contrastive Learning for Sentence Embeddings","created":"2023-06-16","cited_by_count":0,"area":null},{"id":"2408.00326","title":"Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity","created":"2024-08-01","cited_by_count":0,"area":null},{"id":"2501.09354","title":"Style4Rec: Enhancing Transformer-based E-commerce Recommendation Systems with Style and Shopping Cart Information","created":"2025-01-16","cited_by_count":0,"area":null},{"id":"2502.08161","title":"MixDec Sampling: A Soft Link-based Sampling Method of Graph Neural Network for Recommendation","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2502.08685","title":"Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation","created":"2025-02-12","cited_by_count":0,"area":null},{"id":"2503.03042","title":"Learning from Noisy Labels with Contrastive Co-Transformer","created":"2025-03-04","cited_by_count":0,"area":null},{"id":"2603.17413","title":"Towards Motion-aware Referring Image Segmentation","created":"2026-03-18","cited_by_count":0,"area":null}],"next_cursor":null}