{"about":{"non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","site":"https://codewithpapers.app","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page","syntology":{"site":"https://syntology.ai","developers":"https://syntology.ai/developers","mcp":{"server":"https://syntology.ai/mcp","transport":"streamable-http","server_card":"https://syntology.ai/.well-known/mcp/server-card.json","auth":{"type":"trial token, no account","trial_token":"https://syntology.ai/api/oauth/trial/token","method":"POST","docs":"https://syntology.ai/developers"}},"have":"https://syntology.ai/api/graph/have?x=<method, arXiv id or title> (free, answers coverage only)","paper_base":"https://syntology.ai/paper/","atlas_base":"https://app.syntology.ai/?focus="},"machine_readable":[{"url":"https://codewithpapers.app/llms.txt","what":"the machine catalog: every machine-readable file, counted"},{"url":"https://codewithpapers.app/index/manifest.json","what":"paper-to-code index by arXiv id, with Syntology's counts"},{"url":"https://codewithpapers.app/search/manifest.json","what":"site search index (titles, authors) and its files"},{"url":"https://codewithpapers.app/download","what":"bulk files: Syntology's layer, described there"},{"url":"https://codewithpapers.app/build_manifest.json","what":"the build record: inputs, counts, exclusions, probes"}]},"url":"/task/contrastive-learning/papers/41","list_of":"/task/contrastive-learning","task":"Contrastive Learning","archive":{"snapshot":"2025-07-28"},"key_notes":{"n_ran_checked":"legacy name, kept unchanged so existing readers do not break: it counts the samples that ran with no instrument failure (honoured, violated, and ran with no contract checked); it does not mean a contract was checked, and the pages print it as 'K with no instrument failure', not 'K checked'","n_constructed":"a sub-count of the samples that ran, never subtracted from them and never a failure: an executed sample whose run returned an instance of its own class (fixture_out_type equals the entry name): the run built an object and did not compute a result (Syntology's RAN record, counts.constructed)"},"syntology_read_at":"2026-09-28T10:30:06+00:00","order":"archive","order_definition":"repositories listed in the archive (most first), then date (newest first), then slug","page":41,"pages_in_order":67,"rows_per_page":100,"rows":[4001,4100],"of":6661,"counts":{"archive_papers_tagged":6661,"with_a_code_link":3104,"where_syntology_ran_a_sample":920,"not_listed_spam_title":0,"listed":6661,"listed_where_code_ran":920,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":795,"every_run_a_failure_of_syntologys_instrument":125,"listed_with_a_run_with_no_instrument_failure":795,"listed_every_run_a_failure_of_syntologys_instrument":125,"filter":{"states":["a run with no instrument failure","any run, instrument failures included"],"default":"a run with no instrument failure","note":"on the 'only where code ran' pages the default hides, in the browser, the rows where every run was a failure of Syntology's instrument; the second state shows them again. Rows are hidden, never re-ordered; these twins list every row"}},"definition":"distinct papers the archive tags; 'where Syntology ran a sample' counts papers with at least one harvested sample that ran, which is not a correctness claim"},"first_page":"/task/contrastive-learning","prev":"/task/contrastive-learning/papers/40","next":"/task/contrastive-learning/papers/42","papers":[{"url":null,"slug":"comkd-clip-comprehensive-knowledge","title":"ComKD-CLIP: Comprehensive Knowledge Distillation for Contrastive Language-Image Pre-traning Model","date":"2024-08-08","arxiv_id":"2408.04145","repositories_listed":0,"syntology":null},{"url":"/paper/img-diff-contrastive-data-synthesis-for","slug":"img-diff-contrastive-data-synthesis-for","title":"Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models","date":"2024-08-08","arxiv_id":"2408.04594","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrated-dynamic-phenological-feature-for","title":"Integrated Dynamic Phenological Feature for Remote Sensing Image Land Cover Change Detection","date":"2024-08-08","arxiv_id":"2408.04144","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-contrastive-graph-clustering","title":"Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion","date":"2024-08-08","arxiv_id":"2408.04339","repositories_listed":0,"syntology":null},{"url":"/paper/towards-high-resolution-3d-anomaly-detection","slug":"towards-high-resolution-3d-anomaly-detection","title":"Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning","date":"2024-08-08","arxiv_id":"2408.04604","repositories_listed":0,"syntology":null},{"url":null,"slug":"fmifood-multi-modal-contrastive-learning-for","title":"FMiFood: Multi-modal Contrastive Learning for Food Image Classification","date":"2024-08-07","arxiv_id":"2408.03922","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-03202","title":"A Debiased Nearest Neighbors Framework for Multi-Label Text Classification","date":"2024-08-06","arxiv_id":"2408.03202","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-03230","title":"Contrastive Learning for Image Complexity Representation","date":"2024-08-06","arxiv_id":"2408.03230","repositories_listed":0,"syntology":null},{"url":null,"slug":"ai-foundation-models-in-remote-sensing-a","title":"AI Foundation Models in Remote Sensing: A Survey","date":"2024-08-06","arxiv_id":"2408.03464","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02233","title":"A Multi-Source Heterogeneous Knowledge Injected Prompt Learning Method for Legal Charge Prediction","date":"2024-08-05","arxiv_id":"2408.02233","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02245","title":"A Two-Stage Progressive Pre-training using Multi-Modal Contrastive Masked Autoencoders","date":"2024-08-05","arxiv_id":"2408.02245","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02247","title":"Contrastive Learning and Abstract Concepts: The Case of Natural Numbers","date":"2024-08-05","arxiv_id":"2408.02247","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02271","title":"StyEmp: Stylizing Empathetic Response Generation via Multi-Grained Prefix Encoder and Personality Reinforcement","date":"2024-08-05","arxiv_id":"2408.02271","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02404","title":"Feedback Reciprocal Graph Collaborative Filtering","date":"2024-08-05","arxiv_id":"2408.02404","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-02766","title":"ConDL: Detector-Free Dense Image Matching","date":"2024-08-05","arxiv_id":"2408.02766","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-01679","title":"MMPKUBase: A Comprehensive and High-quality Chinese Multi-modal Knowledge Graph","date":"2024-08-03","arxiv_id":"2408.01679","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-01872","title":"Safe Semi-Supervised Contrastive Learning Using In-Distribution Data as Positive Examples","date":"2024-08-03","arxiv_id":"2408.01872","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularized-contrastive-partial-multi-view","title":"Regularized Contrastive Partial Multi-view Outlier Detection","date":"2024-08-02","arxiv_id":"2408.07819","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-00365","title":"Multimodal Fusion and Coherence Modeling for Video Topic Segmentation","date":"2024-08-01","arxiv_id":"2408.00365","repositories_listed":0,"syntology":null},{"url":null,"slug":"2408-00906","title":"Parkinson's Disease Detection from Resting State EEG using Multi-Head Graph Structure Learning with Gradient Weighted Graph Attention Explanations","date":"2024-08-01","arxiv_id":"2408.00906","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-graph-representation-learning","title":"Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck","date":"2024-08-01","arxiv_id":"2408.00295","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-with-dynamic-localized","title":"Contrastive Learning with Adaptive Neighborhoods for Brain Age Prediction on 3D Stiffness Maps","date":"2024-08-01","arxiv_id":"2408.00527","repositories_listed":0,"syntology":null},{"url":null,"slug":"2407-21264","title":"Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning","date":"2024-07-31","arxiv_id":"2407.21264","repositories_listed":0,"syntology":null},{"url":null,"slug":"dd-rppgnet-de-interfering-and-descriptive","title":"DD-rPPGNet: De-interfering and Descriptive Feature Learning for Unsupervised rPPG Estimation","date":"2024-07-31","arxiv_id":"2407.21402","repositories_listed":0,"syntology":null},{"url":null,"slug":"mta-clip-language-guided-semantic","title":"MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment","date":"2024-07-31","arxiv_id":"2407.21654","repositories_listed":0,"syntology":null},{"url":null,"slug":"facl-attack-frequency-aware-contrastive","title":"FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks","date":"2024-07-30","arxiv_id":"2407.20653","repositories_listed":0,"syntology":null},{"url":null,"slug":"gnumap-a-parameter-free-approach-to","title":"GNUMAP: A Parameter-Free Approach to Unsupervised Dimensionality Reduction via Graph Neural Networks","date":"2024-07-30","arxiv_id":"2407.21236","repositories_listed":0,"syntology":null},{"url":"/paper/harvesting-textual-and-structured-data-from","slug":"harvesting-textual-and-structured-data-from","title":"Harvesting Textual and Structured Data from the HAL Publication Repository","date":"2024-07-30","arxiv_id":"2407.20595","repositories_listed":0,"syntology":null},{"url":null,"slug":"prompt-driven-contrastive-learning-for","title":"Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks","date":"2024-07-30","arxiv_id":"2407.20657","repositories_listed":0,"syntology":null},{"url":null,"slug":"revgnn-negative-sampling-enhanced-contrastive","title":"RevGNN: Negative Sampling Enhanced Contrastive Graph Learning for Academic Reviewer Recommendation","date":"2024-07-30","arxiv_id":"2407.20684","repositories_listed":0,"syntology":null},{"url":null,"slug":"spotformer-multi-scale-spatio-temporal","title":"SpotFormer: Multi-Scale Spatio-Temporal Transformer for Facial Expression Spotting","date":"2024-07-30","arxiv_id":"2407.20799","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-self-supervised-robust-clustering","title":"Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number","date":"2024-07-29","arxiv_id":"2407.20119","repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-graph-foundation-model-from","title":"Boosting Graph Foundation Model from Structural Perspective","date":"2024-07-29","arxiv_id":"2407.19941","repositories_listed":0,"syntology":null},{"url":null,"slug":"hashing-based-contrastive-learning-for","title":"Hashing based Contrastive Learning for Virtual Screening","date":"2024-07-29","arxiv_id":"2407.19790","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-order-fusion-graph-contrastive-learning","title":"Fusion Self-supervised Learning for Recommendation","date":"2024-07-29","arxiv_id":"2407.19692","repositories_listed":0,"syntology":null},{"url":"/paper/mgte-generalized-long-context-text","slug":"mgte-generalized-long-context-text","title":"mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval","date":"2024-07-29","arxiv_id":"2407.19669","repositories_listed":0,"syntology":{"n":1,"n_ran":1,"n_constructed":0,"n_ran_checked":1,"n_instrument":0,"n_unverified":0,"n_honours":0,"n_violates":0,"n_no_contract":1,"n_pointer_only":1,"phrase":"1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified","sample_list":"/paper/mgte-generalized-long-context-text#ran","syntology_url":"https://syntology.ai/paper/2407.19669","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2407.19669"}},"official":null}},{"url":null,"slug":"domain-adaptive-lung-nodule-detection-in-x","title":"Domain Adaptive Lung Nodule Detection in X-ray Image","date":"2024-07-28","arxiv_id":"2407.19397","repositories_listed":0,"syntology":null},{"url":null,"slug":"start-from-video-music-retrieval-an-inter","title":"Start from Video-Music Retrieval: An Inter-Intra Modal Loss for Cross Modal Retrieval","date":"2024-07-28","arxiv_id":"2407.19415","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-clip-informed-protein-editing","title":"Multi-Modal CLIP-Informed Protein Editing","date":"2024-07-27","arxiv_id":"2407.19296","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-few-shot-class-incremental","title":"Towards Robust Few-shot Class Incremental Learning in Audio Classification using Contrastive Representation","date":"2024-07-27","arxiv_id":"2407.19265","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamictrack-advancing-gigapixel-tracking-in","title":"DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes","date":"2024-07-26","arxiv_id":"2407.18637","repositories_listed":0,"syntology":null},{"url":null,"slug":"uniforensics-face-forgery-detection-via","title":"UniForensics: Face Forgery Detection via General Facial Representation","date":"2024-07-26","arxiv_id":"2407.19079","repositories_listed":0,"syntology":null},{"url":null,"slug":"banyan-improved-representation-learning-with","title":"Banyan: Improved Representation Learning with Explicit Structure","date":"2024-07-25","arxiv_id":"2407.17771","repositories_listed":0,"syntology":null},{"url":null,"slug":"learn-while-unlearn-an-iterative-unlearning","title":"Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models","date":"2024-07-25","arxiv_id":"2407.20271","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathbb-x-sample-contrastive-loss-improving","title":"$\\mathbb{X}$-Sample Contrastive Loss: Improving Contrastive Learning with Sample Similarity Graphs","date":"2024-07-25","arxiv_id":"2407.18134","repositories_listed":0,"syntology":null},{"url":null,"slug":"shapley-value-based-contrastive-alignment-for","title":"Shapley Value-based Contrastive Alignment for Multimodal Information Extraction","date":"2024-07-25","arxiv_id":"2407.17854","repositories_listed":0,"syntology":null},{"url":null,"slug":"speed-enhanced-subdomain-adaptation","title":"Speed-enhanced Subdomain Adaptation Regression for Long-term Stable Neural Decoding in Brain-computer Interfaces","date":"2024-07-25","arxiv_id":"2407.17758","repositories_listed":0,"syntology":null},{"url":null,"slug":"your-graph-recommender-is-provably-a-single","title":"Your Graph Recommender is Provably a Single-view Graph Contrastive Learning","date":"2024-07-25","arxiv_id":"2407.17723","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-is-not-optimal-for","title":"Contrastive Learning Is Not Optimal for Quasiperiodic Time Series","date":"2024-07-24","arxiv_id":"2407.17073","repositories_listed":0,"syntology":null},{"url":null,"slug":"sma-hyper-spatiotemporal-multi-view-fusion","title":"SMA-Hyper: Spatiotemporal Multi-View Fusion Hypergraph Learning for Traffic Accident Prediction","date":"2024-07-24","arxiv_id":"2407.17642","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-multi-view-mask-contrastive-learning-graph","title":"A Multi-view Mask Contrastive Learning Graph Convolutional Neural Network for Age Estimation","date":"2024-07-23","arxiv_id":"2407.16234","repositories_listed":0,"syntology":null},{"url":"/paper/masks-and-manuscripts-advancing-medical-pre","slug":"masks-and-manuscripts-advancing-medical-pre","title":"Masks and Manuscripts: Advancing Medical Pre-training with End-to-End Masking and Narrative Structuring","date":"2024-07-23","arxiv_id":"2407.16264","repositories_listed":0,"syntology":null},{"url":null,"slug":"tackling-feature-classifier-mismatch-in","title":"Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation","date":"2024-07-23","arxiv_id":"2407.16139","repositories_listed":0,"syntology":null},{"url":null,"slug":"topology-reorganized-graph-contrastive","title":"Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift","date":"2024-07-23","arxiv_id":"2407.16726","repositories_listed":0,"syntology":null},{"url":null,"slug":"breaking-the-global-north-stereotype-a-global","title":"Breaking the Global North Stereotype: A Global South-centric Benchmark Dataset for Auditing and Mitigating Biases in Facial Recognition Systems","date":"2024-07-22","arxiv_id":"2407.15810","repositories_listed":0,"syntology":null},{"url":null,"slug":"customized-retrieval-augmented-generation-and","title":"Customized Retrieval Augmented Generation and Benchmarking for EDA Tool Documentation QA","date":"2024-07-22","arxiv_id":"2407.15353","repositories_listed":0,"syntology":null},{"url":null,"slug":"nv-retriever-improving-text-embedding-models","title":"NV-Retriever: Improving text embedding models with effective hard-negative mining","date":"2024-07-22","arxiv_id":"2407.15831","repositories_listed":0,"syntology":null},{"url":null,"slug":"weak-to-strong-compositional-learning-from","title":"Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection","date":"2024-07-21","arxiv_id":"2407.15296","repositories_listed":0,"syntology":null},{"url":null,"slug":"denoising-long-and-short-term-interests-for","title":"Denoising Long- and Short-term Interests for Sequential Recommendation","date":"2024-07-20","arxiv_id":"2407.14743","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-transformer-based-pre","title":"Self-supervised transformer-based pre-training method with General Plant Infection dataset","date":"2024-07-20","arxiv_id":"2407.14911","repositories_listed":0,"syntology":null},{"url":null,"slug":"advancing-melanoma-diagnosis-with-self","title":"Advancing Melanoma Diagnosis with Self-Supervised Neural Networks: Evaluating the Effectiveness of Different Techniques","date":"2024-07-19","arxiv_id":"2407.14628","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-with-counterfactual","title":"Contrastive Learning with Counterfactual Explanations for Radiology Report Generation","date":"2024-07-19","arxiv_id":"2407.14474","repositories_listed":0,"syntology":null},{"url":null,"slug":"double-gradient-reversal-network-for-single","title":"Double Gradient Reversal Network for Single-Source Domain Generalization in Multi-mode Fault Diagnosis","date":"2024-07-19","arxiv_id":"2407.13978","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-classification-of-road-surface","title":"Improving classification of road surface conditions via road area extraction and contrastive learning","date":"2024-07-19","arxiv_id":"2407.14418","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-video-representation-learning-14","title":"Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective","date":"2024-07-19","arxiv_id":"2407.14069","repositories_listed":0,"syntology":null},{"url":null,"slug":"lidia-precise-liver-tumor-diagnosis-on-multi","title":"LIDIA: Precise Liver Tumor Diagnosis on Multi-Phase Contrast-Enhanced CT via Iterative Fusion and Asymmetric Contrastive Learning","date":"2024-07-18","arxiv_id":"2407.13217","repositories_listed":0,"syntology":null},{"url":null,"slug":"x-former-unifying-contrastive-and","title":"X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs","date":"2024-07-18","arxiv_id":"2407.13851","repositories_listed":0,"syntology":null},{"url":null,"slug":"causality-inspired-discriminative-feature","title":"Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition","date":"2024-07-17","arxiv_id":"2407.12519","repositories_listed":0,"syntology":null},{"url":null,"slug":"cdfl-efficient-federated-human-activity","title":"CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering","date":"2024-07-17","arxiv_id":"2407.12287","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-for-temporal-sensitive","title":"Continual Learning for Temporal-Sensitive Question Answering","date":"2024-07-17","arxiv_id":"2407.12470","repositories_listed":0,"syntology":null},{"url":null,"slug":"mutual-information-guided-optimal-transport","title":"Mutual Information Guided Optimal Transport for Unsupervised Visible-Infrared Person Re-identification","date":"2024-07-17","arxiv_id":"2407.12758","repositories_listed":0,"syntology":null},{"url":null,"slug":"cycle-contrastive-adversarial-learning-for","title":"Cycle Contrastive Adversarial Learning for Unsupervised image Deraining","date":"2024-07-16","arxiv_id":"2407.11750","repositories_listed":0,"syntology":null},{"url":null,"slug":"endofinder-online-image-retrieval-for","title":"EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis","date":"2024-07-16","arxiv_id":"2407.11401","repositories_listed":0,"syntology":null},{"url":null,"slug":"overfitting-in-contrastive-learning","title":"Overfitting In Contrastive Learning?","date":"2024-07-16","arxiv_id":"2407.15863","repositories_listed":0,"syntology":null},{"url":null,"slug":"ses-bridging-the-gap-between-explainability","title":"SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networks","date":"2024-07-16","arxiv_id":"2407.11358","repositories_listed":0,"syntology":null},{"url":null,"slug":"apc-adaptive-patch-contrast-for-weakly","title":"Adaptive Patch Contrast for Weakly Supervised Semantic Segmentation","date":"2024-07-15","arxiv_id":"2407.10649","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-self-supervised-learning-pipeline-for","title":"A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classification","date":"2024-07-14","arxiv_id":"2407.10104","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-multi-hop-knowledge-editing","title":"Cross-Lingual Multi-Hop Knowledge Editing -- Benchmarks, Analysis and a Simple Contrastive Learning based Approach","date":"2024-07-14","arxiv_id":"2407.10275","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-recommendation-via-decision","title":"Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning","date":"2024-07-14","arxiv_id":"2407.10184","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-emotion-recognition-in-incomplete","title":"Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework","date":"2024-07-12","arxiv_id":"2407.09029","repositories_listed":0,"syntology":null},{"url":null,"slug":"heterogeneous-subgraph-network-with-prompt","title":"Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media","date":"2024-07-12","arxiv_id":"2407.09019","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-contrasting-all-you-need-contrastive","title":"Is Contrasting All You Need? Contrastive Learning for the Detection and Attribution of AI-generated Text","date":"2024-07-12","arxiv_id":"2407.09364","repositories_listed":0,"syntology":null},{"url":null,"slug":"tissue-contrastive-semi-masked-autoencoders","title":"Tissue-Contrastive Semi-Masked Autoencoders for Segmentation Pretraining on Chest CT","date":"2024-07-12","arxiv_id":"2407.08961","repositories_listed":0,"syntology":null},{"url":null,"slug":"urrl-imvc-unified-and-robust-representation","title":"URRL-IMVC: Unified and Robust Representation Learning for Incomplete Multi-View Clustering","date":"2024-07-12","arxiv_id":"2407.09120","repositories_listed":0,"syntology":null},{"url":null,"slug":"bootstrapping-vision-language-models-for-self","title":"Bootstrapping Vision-language Models for Self-supervised Remote Physiological Measurement","date":"2024-07-11","arxiv_id":"2407.08507","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-adaptive-traceback-for-vision-language","title":"Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification","date":"2024-07-11","arxiv_id":"2407.08787","repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-consensus-based-multi-agent","title":"Hierarchical Consensus-Based Multi-Agent Reinforcement Learning for Multi-Robot Cooperation Tasks","date":"2024-07-11","arxiv_id":"2407.08164","repositories_listed":0,"syntology":null},{"url":null,"slug":"cosmoclip-generalizing-large-vision-language","title":"CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical Imaging","date":"2024-07-10","arxiv_id":"2407.07315","repositories_listed":0,"syntology":null},{"url":null,"slug":"ea-vtr-event-aware-video-text-retrieval","title":"EA-VTR: Event-Aware Video-Text Retrieval","date":"2024-07-10","arxiv_id":"2407.07478","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-to-make-cross-encoder-a-good-teacher-for-1","title":"How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?","date":"2024-07-10","arxiv_id":"2407.07479","repositories_listed":0,"syntology":null},{"url":null,"slug":"ceia-clip-based-event-image-alignment-for","title":"CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding","date":"2024-07-09","arxiv_id":"2407.06611","repositories_listed":0,"syntology":null},{"url":null,"slug":"cormult-a-semi-supervised-modality","title":"CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis","date":"2024-07-09","arxiv_id":"2407.07046","repositories_listed":0,"syntology":null},{"url":null,"slug":"resolving-sentiment-discrepancy-for","title":"Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition","date":"2024-07-09","arxiv_id":"2407.07026","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-of-preferences-with-a","title":"Contrastive Learning of Preferences with a Contextual InfoNCE Loss","date":"2024-07-08","arxiv_id":"2407.05898","repositories_listed":0,"syntology":null},{"url":null,"slug":"hycir-boosting-zero-shot-composed-image","title":"HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels","date":"2024-07-08","arxiv_id":"2407.05795","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-contrastive-audio-visual-learning","title":"Sequential Contrastive Audio-Visual Learning","date":"2024-07-08","arxiv_id":"2407.05782","repositories_listed":0,"syntology":null},{"url":null,"slug":"music-era-recognition-using-supervised","title":"Music Era Recognition Using Supervised Contrastive Learning and Artist Information","date":"2024-07-07","arxiv_id":"2407.05368","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-brain-network-construction-paradigm-for","title":"A New Brain Network Construction Paradigm for Brain Disorder via Diffusion-based Graph Contrastive Learning","date":"2024-07-06","arxiv_id":"2407.18329","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-word-alignment-for-asean","title":"Cross-Lingual Word Alignment for ASEAN Languages with Contrastive Learning","date":"2024-07-06","arxiv_id":"2407.05054","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-solution-for-language-enhanced-image-new","title":"The Solution for Language-Enhanced Image New Category Discovery","date":"2024-07-06","arxiv_id":"2407.04994","repositories_listed":0,"syntology":null}],"record_sha256":"fb29b04866584a0d7a07962119177493dd8a83cf4e5125404078dc8f1f288fe4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}