{"total":540,"rows":[{"id":"2212.09741","title":"One Embedder, Any Task: Instruction-Finetuned Text Embeddings","created":"2022-12-19","cited_by_count":333,"area":null},{"id":"2103.00111","title":"Graph Self-Supervised Learning: A Survey","created":"2021-02-27","cited_by_count":289,"area":null},{"id":"2304.12210","title":"A Cookbook of Self-Supervised Learning","created":"2023-04-24","cited_by_count":250,"area":null},{"id":"2106.14413","title":"Co$^2$L: Contrastive Continual Learning","created":"2021-06-28","cited_by_count":244,"area":null},{"id":"2101.11939","title":"Exploring Cross-Image Pixel Contrast for Semantic Segmentation","created":"2021-01-28","cited_by_count":242,"area":null},{"id":"2601.04720","title":"Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking","created":"2026-01-08","cited_by_count":230,"area":null},{"id":"2102.08850","title":"Contrastive Learning Inverts the Data Generating Process","created":"2021-02-17","cited_by_count":221,"area":null},{"id":"2305.10764","title":"OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding","created":"2023-05-18","cited_by_count":184,"area":null},{"id":"2203.01517","title":"Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations","created":"2022-03-03","cited_by_count":172,"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":"2105.00470","title":"On Feature Decorrelation in Self-Supervised Learning","created":"2021-05-02","cited_by_count":160,"area":null},{"id":"2110.06848","title":"Decoupled Contrastive Learning","created":"2021-10-13","cited_by_count":143,"area":null},{"id":"2105.07342","title":"Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive","created":"2021-05-16","cited_by_count":136,"area":null},{"id":"2203.04450","title":"How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?","created":"2022-03-08","cited_by_count":128,"area":null},{"id":"2106.10731","title":"Neighborhood Contrastive Learning for Novel Class Discovery","created":"2021-06-20","cited_by_count":121,"area":null},{"id":"2106.11230","title":"Can contrastive learning avoid shortcut solutions?","created":"2021-06-21","cited_by_count":114,"area":null},{"id":"2109.01116","title":"An Empirical Study of Graph Contrastive Learning","created":"2021-09-02","cited_by_count":113,"area":null},{"id":"2106.03149","title":"Large-scale Unsupervised Semantic Segmentation","created":"2021-06-06","cited_by_count":101,"area":null},{"id":"2112.13522","title":"Dual Contrastive Learning for General Face Forgery Detection","created":"2021-12-27","cited_by_count":100,"area":null},{"id":"2310.14918","title":"ARNIQA: Learning Distortion Manifold for Image Quality Assessment","created":"2023-10-20","cited_by_count":89,"area":null},{"id":"2110.07110","title":"Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast","created":"2021-10-14","cited_by_count":85,"area":null},{"id":"2405.20541","title":"Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models","created":"2024-05-30","cited_by_count":84,"area":null},{"id":"2304.06708","title":"Verbs in Action: Improving verb understanding in video-language models","created":"2023-04-13","cited_by_count":76,"area":null},{"id":"2109.14910","title":"CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations","created":"2021-09-30","cited_by_count":72,"area":null},{"id":"2110.02027","title":"ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning","created":"2021-10-05","cited_by_count":72,"area":null},{"id":"2201.05119","title":"Pushing the limits of self-supervised ResNets: Can we outperform supervised learning without labels on ImageNet?","created":"2022-01-13","cited_by_count":67,"area":null},{"id":"2303.07284","title":"Align and Attend: Multimodal Summarization with Dual Contrastive Losses","created":"2023-03-13","cited_by_count":65,"area":null},{"id":"2107.02423","title":"Improving Text-to-Image Synthesis Using Contrastive Learning","created":"2021-07-06","cited_by_count":62,"area":null},{"id":"2207.07180","title":"Contrastive Adapters for Foundation Model Group Robustness","created":"2022-07-14","cited_by_count":62,"area":null},{"id":"2212.08665","title":"Hard Sample Aware Network for Contrastive Deep Graph Clustering","created":"2022-12-16","cited_by_count":61,"area":null},{"id":"2304.01008","title":"Self-Supervised Multimodal Learning: A Survey","created":"2023-03-31","cited_by_count":58,"area":null},{"id":"2411.02545","title":"TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives","created":"2024-11-04","cited_by_count":58,"area":null},{"id":"2111.01118","title":"Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training","created":"2021-11-01","cited_by_count":57,"area":null},{"id":"2110.04099","title":"Topology-Imbalance Learning for Semi-Supervised Node Classification","created":"2021-10-08","cited_by_count":56,"area":null},{"id":"2503.04812","title":"LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning","created":"2025-03-04","cited_by_count":55,"area":null},{"id":"2107.01886","title":"Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning","created":"2021-07-05","cited_by_count":52,"area":null},{"id":"2203.17248","title":"Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo","created":"2022-03-30","cited_by_count":52,"area":null},{"id":"2208.11296","title":"Semi-Supervised and Unsupervised Deep Visual Learning: A Survey","created":"2022-08-24","cited_by_count":52,"area":null},{"id":"2312.15709","title":"TimesURL: Self-supervised Contrastive Learning for Universal Time Series Representation Learning","created":"2023-12-25","cited_by_count":52,"area":null},{"id":"2303.04488","title":"Magnushammer: A Transformer-Based Approach to Premise Selection","created":"2023-03-08","cited_by_count":50,"area":null},{"id":"2106.08808","title":"Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification","created":"2021-06-16","cited_by_count":49,"area":null},{"id":"2310.14753","title":"Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules","created":"2023-10-23","cited_by_count":49,"area":null},{"id":"2110.12764","title":"Contrastive Learning for Neural Topic Model","created":"2021-10-25","cited_by_count":48,"area":null},{"id":"2110.15255","title":"Self-Supervised Learning Disentangled Group Representation as Feature","created":"2021-10-28","cited_by_count":47,"area":null},{"id":"2103.09742","title":"Training GANs with Stronger Augmentations via Contrastive Discriminator","created":"2021-03-17","cited_by_count":45,"area":null},{"id":"2201.04309","title":"Robust Contrastive Learning against Noisy Views","created":"2022-01-12","cited_by_count":45,"area":null},{"id":"2303.13664","title":"Temperature Schedules for Self-Supervised Contrastive Methods on Long-Tail Data","created":"2023-03-23","cited_by_count":44,"area":null},{"id":"2107.02575","title":"Contrastive Multimodal Fusion with TupleInfoNCE","created":"2021-07-06","cited_by_count":43,"area":null},{"id":"2110.14189","title":"Robust Contrastive Learning Using Negative Samples with Diminished Semantics","created":"2021-10-27","cited_by_count":43,"area":null},{"id":"2211.10738","title":"Knowledge Graph Contrastive Learning Based on Relation-Symmetrical Structure","created":"2022-11-19","cited_by_count":43,"area":null},{"id":"2402.02653","title":"Learning with Mixture of Prototypes for Out-of-Distribution Detection","created":"2024-02-05","cited_by_count":43,"area":null},{"id":"2203.01532","title":"Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks","created":"2022-03-03","cited_by_count":42,"area":null},{"id":"2411.14517","title":"The Double-Ellipsoid Geometry of CLIP","created":"2024-11-21","cited_by_count":42,"area":null},{"id":"2104.08760","title":"Solving Inefficiency of Self-supervised Representation Learning","created":"2021-04-18","cited_by_count":41,"area":null},{"id":"2109.01797","title":"Hybrid Contrastive Learning of Tri-Modal Representation for Multimodal Sentiment Analysis","created":"2021-09-04","cited_by_count":41,"area":null},{"id":"2204.07596","title":"Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning","created":"2022-04-15","cited_by_count":40,"area":null},{"id":"2211.14699","title":"A Theoretical Study of Inductive Biases in Contrastive Learning","created":"2022-11-27","cited_by_count":40,"area":null},{"id":"2407.00143","title":"InfoNCE: Identifying the Gap Between Theory and Practice","created":"2024-06-28","cited_by_count":40,"area":null},{"id":"2104.06245","title":"Understanding Hard Negatives in Noise Contrastive Estimation","created":"2021-04-13","cited_by_count":39,"area":null},{"id":"2204.08587","title":"Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction","created":"2022-04-18","cited_by_count":39,"area":null},{"id":"2305.13689","title":"Know Your Self-supervised Learning: A Survey on Image-based Generative and Discriminative Training","created":"2023-05-23","cited_by_count":39,"area":null},{"id":"2409.19483","title":"MedCLIP-SAMv2: Towards Universal Text-Driven Medical Image Segmentation","created":"2024-09-28","cited_by_count":39,"area":null},{"id":"2202.06491","title":"Adversarial Graph Contrastive Learning with Information Regularization","created":"2022-02-14","cited_by_count":38,"area":null},{"id":"2106.09645","title":"Prototypical Graph Contrastive Learning","created":"2021-06-17","cited_by_count":37,"area":null},{"id":"2202.09346","title":"Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast","created":"2022-02-18","cited_by_count":37,"area":null},{"id":"2302.07920","title":"InfoNCE Loss Provably Learns Cluster-Preserving Representations","created":"2023-02-15","cited_by_count":37,"area":null},{"id":"2403.20253","title":"MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation","created":"2024-03-29","cited_by_count":37,"area":null},{"id":"2102.10106","title":"Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction","created":"2021-02-19","cited_by_count":36,"area":null},{"id":"2103.15566","title":"Contrastive Domain Adaptation","created":"2021-03-26","cited_by_count":36,"area":null},{"id":"2112.09445","title":"Data Efficient Language-supervised Zero-shot Recognition with Optimal Transport Distillation","created":"2021-12-17","cited_by_count":36,"area":null},{"id":"2201.12680","title":"Understanding Deep Contrastive Learning via Coordinate-wise Optimization","created":"2022-01-29","cited_by_count":35,"area":null},{"id":"2406.17711","title":"Data curation via joint example selection further accelerates multimodal learning","created":"2024-06-25","cited_by_count":33,"area":null},{"id":"2110.15278","title":"Self-supervised EEG Representation Learning for Automatic Sleep Staging","created":"2021-10-27","cited_by_count":32,"area":null},{"id":"2111.13924","title":"A Practical Contrastive Learning Framework for Single-Image Super-Resolution","created":"2021-11-27","cited_by_count":30,"area":null},{"id":"2203.03897","title":"Geodesic Multi-Modal Mixup for Robust Fine-Tuning","created":"2022-03-08","cited_by_count":29,"area":null},{"id":"2112.11450","title":"Max-Margin Contrastive Learning","created":"2021-12-21","cited_by_count":27,"area":null},{"id":"2206.02353","title":"Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data","created":"2022-06-06","cited_by_count":27,"area":null},{"id":"2204.07789","title":"Contrastive Learning with Hard Negative Entities for Entity Set Expansion","created":"2022-04-16","cited_by_count":26,"area":null},{"id":"2505.19650","title":"Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval","created":"2025-05-26","cited_by_count":26,"area":null},{"id":"2103.14958","title":"Self-supervised Graph Neural Networks without explicit negative sampling","created":"2021-03-27","cited_by_count":25,"area":null},{"id":"2106.03314","title":"Measuring Generalization with Optimal Transport","created":"2021-06-07","cited_by_count":25,"area":null},{"id":"2109.10126","title":"ConvFiT: Conversational Fine-Tuning of Pretrained Language Models","created":"2021-09-21","cited_by_count":25,"area":null},{"id":"2209.00183","title":"ProCo: Prototype-aware Contrastive Learning for Long-tailed Medical Image Classification","created":"2022-09-01","cited_by_count":25,"area":null},{"id":"2210.02442","title":"Making Your First Choice: To Address Cold Start Problem in Vision Active Learning","created":"2022-10-05","cited_by_count":25,"area":null},{"id":"2210.16870","title":"A simple, efficient and scalable contrastive masked autoencoder for learning visual representations","created":"2022-10-30","cited_by_count":25,"area":null},{"id":"2304.00387","title":"HaLP: Hallucinating Latent Positives for Skeleton-based Self-Supervised Learning of Actions","created":"2023-04-01","cited_by_count":25,"area":null},{"id":"2305.11965","title":"Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization","created":"2023-05-19","cited_by_count":25,"area":null},{"id":"2310.11676","title":"PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection","created":"2023-10-18","cited_by_count":25,"area":null},{"id":"2408.09929","title":"Data Augmentation of Contrastive Learning is Estimating Positive-incentive Noise","created":"2024-08-19","cited_by_count":25,"area":null},{"id":"2204.00203","title":"Graph Enhanced Contrastive Learning for Radiology Findings Summarization","created":"2022-04-01","cited_by_count":24,"area":null},{"id":"2208.14073","title":"A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning","created":"2022-08-30","cited_by_count":24,"area":null},{"id":"2405.02951","title":"iSEARLE: Improving Textual Inversion for Zero-Shot Composed Image Retrieval","created":"2024-05-05","cited_by_count":24,"area":null},{"id":"2106.04990","title":"It Takes Two to Tango: Mixup for Deep Metric Learning","created":"2021-06-09","cited_by_count":23,"area":null},{"id":"2203.09333","title":"Modulated Contrast for Versatile Image Synthesis","created":"2022-03-17","cited_by_count":23,"area":null},{"id":"2309.14900","title":"Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning","created":"2023-09-26","cited_by_count":23,"area":null},{"id":"2402.11254","title":"C-ICL: Contrastive In-context Learning for Information Extraction","created":"2024-02-17","cited_by_count":23,"area":null},{"id":"2107.01152","title":"Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE","created":"2021-07-02","cited_by_count":22,"area":null},{"id":"2111.15454","title":"Boosting Discriminative Visual Representation Learning with Scenario-Agnostic Mixup","created":"2021-11-30","cited_by_count":22,"area":null},{"id":"2202.05458","title":"Conditional Contrastive Learning with Kernel","created":"2022-02-11","cited_by_count":22,"area":null},{"id":"2301.02724","title":"Facilitating Contrastive Learning of Discourse Relational Senses by Exploiting the Hierarchy of Sense Relations","created":"2023-01-06","cited_by_count":22,"area":null}],"next_cursor":"100"}