{"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/45","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":45,"pages_in_order":67,"rows_per_page":100,"rows":[4401,4500],"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/44","next":"/task/contrastive-learning/papers/46","papers":[{"url":null,"slug":"control-based-graph-embeddings-with-data","title":"Control-based Graph Embeddings with Data Augmentation for Contrastive Learning","date":"2024-03-07","arxiv_id":"2403.04923","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-privacy-preserving-framework-with-multi","title":"A Privacy-Preserving Framework with Multi-Modal Data for Cross-Domain Recommendation","date":"2024-03-06","arxiv_id":"2403.03600","repositories_listed":0,"syntology":null},{"url":null,"slug":"cascaded-self-supervised-learning-for-subject","title":"Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition","date":"2024-03-06","arxiv_id":"2403.04041","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-of-person-independent","title":"Contrastive Learning of Person-independent Representations for Facial Action Unit Detection","date":"2024-03-06","arxiv_id":"2403.03400","repositories_listed":0,"syntology":null},{"url":null,"slug":"dcl-net-dual-contrastive-learning-network-for","title":"Dcl-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation","date":"2024-03-06","arxiv_id":"2403.03512","repositories_listed":0,"syntology":null},{"url":null,"slug":"intent-aware-recommendation-via-disentangled","title":"Intent-aware Recommendation via Disentangled Graph Contrastive Learning","date":"2024-03-06","arxiv_id":"2403.03714","repositories_listed":0,"syntology":null},{"url":null,"slug":"lodisc-learning-global-local-discriminative","title":"LoDisc: Learning Global-Local Discriminative Features for Self-Supervised Fine-Grained Visual Recognition","date":"2024-03-06","arxiv_id":"2403.04066","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-grained-cross-modal-alignment-for","title":"Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision","date":"2024-03-06","arxiv_id":"2403.03707","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-contrastive-learning-for-robust","title":"Unsupervised Contrastive Learning for Robust RF Device Fingerprinting Under Time-Domain Shift","date":"2024-03-06","arxiv_id":"2403.04036","repositories_listed":0,"syntology":null},{"url":null,"slug":"causal-prompting-debiasing-large-language","title":"Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment","date":"2024-03-05","arxiv_id":"2403.02738","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-pre-training-for-deep-session","title":"Contrastive Pre-training for Deep Session Data Understanding","date":"2024-03-05","arxiv_id":"2403.02825","repositories_listed":0,"syntology":null},{"url":null,"slug":"dp-cre-continual-relation-extraction-via","title":"DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation","date":"2024-03-05","arxiv_id":"2403.02718","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-conceptual-understanding-in","title":"Enhancing Conceptual Understanding in Multimodal Contrastive Learning through Hard Negative Samples","date":"2024-03-05","arxiv_id":"2403.02875","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-scale-subgraph-contrastive-learning","title":"Multi-Scale Subgraph Contrastive Learning","date":"2024-03-05","arxiv_id":"2403.02719","repositories_listed":0,"syntology":null},{"url":null,"slug":"rehabilitation-exercise-quality-assessment","title":"Rehabilitation Exercise Quality Assessment through Supervised Contrastive Learning with Hard and Soft Negatives","date":"2024-03-05","arxiv_id":"2403.02772","repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-long-tail-noisy-label-learning","title":"Addressing Long-Tail Noisy Label Learning Problems: a Two-Stage Solution with Label Refurbishment Considering Label Rarity","date":"2024-03-04","arxiv_id":"2403.02363","repositories_listed":0,"syntology":null},{"url":null,"slug":"bacon-boosting-imbalanced-semi-supervised","title":"BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learning","date":"2024-03-04","arxiv_id":"2403.12986","repositories_listed":0,"syntology":null},{"url":null,"slug":"notellm-a-retrievable-large-language-model","title":"NoteLLM: A Retrievable Large Language Model for Note Recommendation","date":"2024-03-04","arxiv_id":"2403.01744","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-specificity-in-sbdd-leveraging","title":"Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion","date":"2024-03-04","arxiv_id":"2403.12987","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformers-provably-learn-feature-position","title":"A Theoretical Analysis of Self-Supervised Learning for Vision Transformers","date":"2024-03-04","arxiv_id":"2403.02233","repositories_listed":0,"syntology":null},{"url":null,"slug":"partial-federated-learning","title":"Partial Federated Learning","date":"2024-03-03","arxiv_id":"2403.01615","repositories_listed":0,"syntology":null},{"url":null,"slug":"schema-state-changes-matter-for-procedure","title":"SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos","date":"2024-03-03","arxiv_id":"2403.01599","repositories_listed":0,"syntology":null},{"url":null,"slug":"llamoco-instruction-tuning-of-large-language","title":"LLaMoCo: Instruction Tuning of Large Language Models for Optimization Code Generation","date":"2024-03-02","arxiv_id":"2403.01131","repositories_listed":0,"syntology":null},{"url":null,"slug":"pseudo-label-calibration-semi-supervised","title":"Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment","date":"2024-03-02","arxiv_id":"2403.01203","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccml-curriculum-and-contrastive-learning","title":"CCML: Curriculum and Contrastive Learning Enhanced Meta-Learner for Personalized Spatial Trajectory Prediction","date":"2024-03-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"surveying-the-dead-minds-historical","title":"Surveying the Dead Minds: Historical-Psychological Text Analysis with Contextualized Construct Representation (CCR) for Classical Chinese","date":"2024-03-01","arxiv_id":"2403.00509","repositories_listed":0,"syntology":null},{"url":null,"slug":"debiased-novel-category-discovering-and","title":"Debiased Novel Category Discovering and Localization","date":"2024-02-29","arxiv_id":"2402.18821","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-visual-document-understanding-with","title":"Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models","date":"2024-02-29","arxiv_id":"2402.19014","repositories_listed":0,"syntology":null},{"url":null,"slug":"evolving-to-the-future-unseen-event-adaptive","title":"Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media","date":"2024-02-29","arxiv_id":"2403.00037","repositories_listed":0,"syntology":null},{"url":null,"slug":"modality-agnostic-structural-image","title":"Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration","date":"2024-02-29","arxiv_id":"2402.18933","repositories_listed":0,"syntology":null},{"url":null,"slug":"speaker-independent-dysarthria-severity","title":"Speaker-Independent Dysarthria Severity Classification using Self-Supervised Transformers and Multi-Task Learning","date":"2024-02-29","arxiv_id":"2403.00854","repositories_listed":0,"syntology":null},{"url":null,"slug":"cfdnet-a-generalizable-foggy-stereo-matching","title":"CFDNet: A Generalizable Foggy Stereo Matching Network with Contrastive Feature Distillation","date":"2024-02-28","arxiv_id":"2402.18181","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-diverse-modeling-contexts-with","title":"Leveraging Diverse Modeling Contexts with Collaborating Learning for Neural Machine Translation","date":"2024-02-28","arxiv_id":"2402.18428","repositories_listed":0,"syntology":null},{"url":null,"slug":"prcl-probabilistic-representation-contrastive","title":"PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation","date":"2024-02-28","arxiv_id":"2402.18117","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-cross-domain-image-retrieval-via","title":"Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport","date":"2024-02-28","arxiv_id":"2402.18411","repositories_listed":0,"syntology":null},{"url":null,"slug":"analyzing-regional-organization-of-the-human","title":"Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding","date":"2024-02-27","arxiv_id":"2402.17744","repositories_listed":0,"syntology":null},{"url":null,"slug":"faultprofit-hierarchical-fault-profiling-of","title":"FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems","date":"2024-02-27","arxiv_id":"2402.17583","repositories_listed":0,"syntology":null},{"url":null,"slug":"localgcl-local-aware-contrastive-learning-for","title":"LocalGCL: Local-aware Contrastive Learning for Graphs","date":"2024-02-27","arxiv_id":"2402.17345","repositories_listed":0,"syntology":null},{"url":null,"slug":"comae-comprehensive-attribute-exploration-for","title":"COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing","date":"2024-02-26","arxiv_id":"2402.16424","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-frequency-aware-hierarchical-contrastive","title":"High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs","date":"2024-02-26","arxiv_id":"2402.16240","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-contrastive-learning-for-8192","title":"Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings","date":"2024-02-26","arxiv_id":"2402.17016","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-contrastive-graph-learning-with","title":"Deep Contrastive Graph Learning with Clustering-Oriented Guidance","date":"2024-02-25","arxiv_id":"2402.16012","repositories_listed":0,"syntology":null},{"url":null,"slug":"clipose-category-level-object-pose-estimation","title":"CLIPose: Category-Level Object Pose Estimation with Pre-trained Vision-Language Knowledge","date":"2024-02-24","arxiv_id":"2402.15726","repositories_listed":0,"syntology":null},{"url":null,"slug":"debiased-model-based-interactive","title":"Debiased Model-based Interactive Recommendation","date":"2024-02-24","arxiv_id":"2402.15819","repositories_listed":0,"syntology":null},{"url":null,"slug":"fgbert-function-driven-pre-trained-gene","title":"FGBERT: Function-Driven Pre-trained Gene Language Model for Metagenomics","date":"2024-02-24","arxiv_id":"2402.16901","repositories_listed":0,"syntology":null},{"url":null,"slug":"overcoming-pitfalls-in-graph-contrastive","title":"Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks","date":"2024-02-24","arxiv_id":"2402.15680","repositories_listed":0,"syntology":null},{"url":null,"slug":"ci-w-o-tn-context-injection-without-task-name","title":"CI w/o TN: Context Injection without Task Name for Procedure Planning","date":"2024-02-23","arxiv_id":"2402.15579","repositories_listed":0,"syntology":null},{"url":null,"slug":"cohere3d-exploiting-temporal-coherence-for","title":"Cohere3D: Exploiting Temporal Coherence for Unsupervised Representation Learning of Vision-based Autonomous Driving","date":"2024-02-23","arxiv_id":"2402.15583","repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-level-factual-adaptiveness-of-fine","title":"Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models","date":"2024-02-23","arxiv_id":"2402.15162","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-adaptive-reconstruction-with-contrastive","title":"Self-Adaptive Reconstruction with Contrastive Learning for Unsupervised Sentence Embeddings","date":"2024-02-23","arxiv_id":"2402.15153","repositories_listed":0,"syntology":null},{"url":null,"slug":"clce-an-approach-to-refining-cross-entropy","title":"CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion","date":"2024-02-22","arxiv_id":"2402.14551","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-of-shared-spatiotemporal","title":"Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience","date":"2024-02-22","arxiv_id":"2402.14213","repositories_listed":0,"syntology":null},{"url":null,"slug":"noise-bert-a-unified-perturbation-robust","title":"Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task","date":"2024-02-22","arxiv_id":"2402.14494","repositories_listed":0,"syntology":null},{"url":null,"slug":"overcoming-dimensional-collapse-in-self","title":"Overcoming Dimensional Collapse in Self-supervised Contrastive Learning for Medical Image Segmentation","date":"2024-02-22","arxiv_id":"2402.14611","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-aware-video-corpus-moment-retrieval","title":"Event-aware Video Corpus Moment Retrieval","date":"2024-02-21","arxiv_id":"2402.13566","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-organ-self-supervised-contrastive","title":"Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation","date":"2024-02-21","arxiv_id":"2402.14114","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-learning-based-object-detection","title":"Unsupervised learning based object detection using Contrastive Learning","date":"2024-02-21","arxiv_id":"2402.13465","repositories_listed":0,"syntology":null},{"url":null,"slug":"analysis-of-using-sigmoid-loss-for","title":"Analysis of Using Sigmoid Loss for Contrastive Learning","date":"2024-02-20","arxiv_id":"2402.12613","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccfc-enhancing-federated-clustering-through","title":"CCFC++: Enhancing Federated Clustering through Feature Decorrelation","date":"2024-02-20","arxiv_id":"2402.12852","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-feature-alignment-balancing","title":"Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training","date":"2024-02-19","arxiv_id":"2402.12187","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-guided-image-reflection-separation","title":"Language-guided Image Reflection Separation","date":"2024-02-19","arxiv_id":"2402.11874","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-contrastive-learning-for-few-shot","title":"Leveraging Contrastive Learning for Few-shot Geolocation of Social Posts","date":"2024-02-19","arxiv_id":"2403.00786","repositories_listed":0,"syntology":null},{"url":null,"slug":"substrate-scope-contrastive-learning","title":"Revealing the Relationship Between Publication Bias and Chemical Reactivity with Contrastive Learning","date":"2024-02-19","arxiv_id":"2402.16882","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-disentangled-contrastive-diffusion","title":"A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation","date":"2024-02-18","arxiv_id":"2402.11558","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-condensed-transition-graph-framework-for","title":"A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models","date":"2024-02-16","arxiv_id":"2402.10779","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-curriculum-graph-contrastive","title":"Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation","date":"2024-02-16","arxiv_id":"2402.10468","repositories_listed":0,"syntology":null},{"url":"/paper/dynamic-patch-aware-enrichment-transformer","slug":"dynamic-patch-aware-enrichment-transformer","title":"Dynamic Patch-aware Enrichment Transformer for Occluded Person Re-Identification","date":"2024-02-16","arxiv_id":"2402.10435","repositories_listed":0,"syntology":null},{"url":null,"slug":"fusion-of-diffusion-weighted-mri-and-clinical","title":"Fusion of Diffusion Weighted MRI and Clinical Data for Predicting Functional Outcome after Acute Ischemic Stroke with Deep Contrastive Learning","date":"2024-02-16","arxiv_id":"2402.10894","repositories_listed":0,"syntology":null},{"url":null,"slug":"pretext-training-algorithms-for-event","title":"Pretext Training Algorithms for Event Sequence Data","date":"2024-02-16","arxiv_id":"2402.10392","repositories_listed":0,"syntology":null},{"url":null,"slug":"f-micl-understanding-and-generalizing-infonce","title":"$f$-MICL: Understanding and Generalizing InfoNCE-based Contrastive Learning","date":"2024-02-15","arxiv_id":"2402.10150","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiview-contrastive-learning-for","title":"Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces","date":"2024-02-15","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sequential-recommendation-on-temporal","title":"Sequential Recommendation on Temporal Proximities with Contrastive Learning and Self-Attention","date":"2024-02-15","arxiv_id":"2402.09784","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-chatgpt-into-secure-hospital","title":"Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis","date":"2024-02-14","arxiv_id":"2402.09358","repositories_listed":0,"syntology":null},{"url":null,"slug":"low-rank-graph-contrastive-learning-for-node","title":"Low-Rank Graph Contrastive Learning for Node Classification","date":"2024-02-14","arxiv_id":"2402.09600","repositories_listed":0,"syntology":null},{"url":null,"slug":"amend-a-mixture-of-experts-framework-for-long","title":"AMEND: A Mixture of Experts Framework for Long-tailed Trajectory Prediction","date":"2024-02-13","arxiv_id":"2402.08698","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-self-supervised-instance","title":"Leveraging Self-Supervised Instance Contrastive Learning for Radar Object Detection","date":"2024-02-13","arxiv_id":"2402.08427","repositories_listed":0,"syntology":null},{"url":null,"slug":"modeling-balanced-explicit-and-implicit","title":"Modeling Balanced Explicit and Implicit Relations with Contrastive Learning for Knowledge Concept Recommendation in MOOCs","date":"2024-02-13","arxiv_id":"2402.08256","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-learning-for-regression-on","title":"Contrastive Learning for Regression on Hyperspectral Data","date":"2024-02-12","arxiv_id":"2403.17014","repositories_listed":0,"syntology":null},{"url":null,"slug":"injecting-wiktionary-to-improve-token-level","title":"Injecting Wiktionary to improve token-level contextual representations using contrastive learning","date":"2024-02-12","arxiv_id":"2402.07817","repositories_listed":0,"syntology":null},{"url":null,"slug":"semtra-a-semantic-skill-translator-for-cross","title":"SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation","date":"2024-02-12","arxiv_id":"2402.07418","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-modeling-as-multi-objective-contrastive","title":"Topic Modeling as Multi-Objective Contrastive Optimization","date":"2024-02-12","arxiv_id":"2402.07577","repositories_listed":0,"syntology":null},{"url":null,"slug":"cochceps-augment-a-novel-self-supervised","title":"CochCeps-Augment: A Novel Self-Supervised Contrastive Learning Using Cochlear Cepstrum-based Masking for Speech Emotion Recognition","date":"2024-02-10","arxiv_id":"2402.06923","repositories_listed":0,"syntology":null},{"url":null,"slug":"jointly-learning-representations-for-map","title":"Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning","date":"2024-02-09","arxiv_id":"2402.06135","repositories_listed":0,"syntology":null},{"url":null,"slug":"masked-logonet-fast-and-accurate-3d-image","title":"Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain","date":"2024-02-09","arxiv_id":"2402.06190","repositories_listed":0,"syntology":null},{"url":null,"slug":"revealing-multimodal-contrastive","title":"Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning","date":"2024-02-09","arxiv_id":"2402.06223","repositories_listed":0,"syntology":null},{"url":null,"slug":"counterclr-counterfactual-contrastive","title":"CounterCLR: Counterfactual Contrastive Learning with Non-random Missing Data in Recommendation","date":"2024-02-08","arxiv_id":"2402.05740","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-end-to-end-image-compression-and","title":"Joint End-to-End Image Compression and Denoising: Leveraging Contrastive Learning and Multi-Scale Self-ONNs","date":"2024-02-08","arxiv_id":"2402.05582","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-language-model-meets-graph-neural","title":"Large Language Model Meets Graph Neural Network in Knowledge Distillation","date":"2024-02-08","arxiv_id":"2402.05894","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-yolo-v7-to-detect-kidney-in-magnetic","title":"Using YOLO v7 to Detect Kidney in Magnetic Resonance Imaging","date":"2024-02-08","arxiv_id":"2402.05817","repositories_listed":0,"syntology":null},{"url":null,"slug":"botsscl-social-bot-detection-with-self","title":"BotSSCL: Social Bot Detection with Self-Supervised Contrastive Learning","date":"2024-02-06","arxiv_id":"2402.03740","repositories_listed":0,"syntology":null},{"url":null,"slug":"cambranch-contrastive-learning-with-augmented","title":"CAMBranch: Contrastive Learning with Augmented MILPs for Branching","date":"2024-02-06","arxiv_id":"2402.03647","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-availability-attacks-against","title":"Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously","date":"2024-02-06","arxiv_id":"2402.04010","repositories_listed":0,"syntology":null},{"url":null,"slug":"constrained-multiview-representation-for-self","title":"Constrained Multiview Representation for Self-supervised Contrastive Learning","date":"2024-02-05","arxiv_id":"2402.03456","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-diffuser-planning-towards-high","title":"Contrastive Diffuser: Planning Towards High Return States via Contrastive Learning","date":"2024-02-05","arxiv_id":"2402.02772","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-causal-structure-learning-and","title":"Multi-modal Causal Structure Learning and Root Cause Analysis","date":"2024-02-04","arxiv_id":"2402.02357","repositories_listed":0,"syntology":null},{"url":null,"slug":"mlip-enhancing-medical-visual-representation","title":"MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning","date":"2024-02-03","arxiv_id":"2402.02045","repositories_listed":0,"syntology":null},{"url":null,"slug":"sudokusens-enhancing-deep-learning-robustness","title":"SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach","date":"2024-02-03","arxiv_id":"2402.02275","repositories_listed":0,"syntology":null},{"url":null,"slug":"wavelet-decoupling-contrastive-enhancement","title":"Wavelet-Decoupling Contrastive Enhancement Network for Fine-Grained Skeleton-Based Action Recognition","date":"2024-02-03","arxiv_id":"2402.02210","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-representation-learning-at-scale","title":"Code Representation Learning At Scale","date":"2024-02-02","arxiv_id":"2402.01935","repositories_listed":0,"syntology":null},{"url":null,"slug":"del-visual-al-auditivo-sonorizacion-de","title":"Del Visual al Auditivo: Sonorización de Escenas Guiada por Imagen","date":"2024-02-02","arxiv_id":"2402.01385","repositories_listed":0,"syntology":null}],"record_sha256":"e58bd49d03d403a2502935f51e8e0c74ebbbc0769870ac2e7e36a54781a19ce3","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}