{"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/representation-learning/papers/66","list_of":"/task/representation-learning","task":"Representation 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":66,"pages_in_order":106,"rows_per_page":100,"rows":[6501,6600],"of":10580,"counts":{"archive_papers_tagged":10580,"with_a_code_link":4662,"where_syntology_ran_a_sample":1439,"not_listed_spam_title":0,"listed":10580,"listed_where_code_ran":1439,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1228,"every_run_a_failure_of_syntologys_instrument":211,"listed_with_a_run_with_no_instrument_failure":1228,"listed_every_run_a_failure_of_syntologys_instrument":211,"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/representation-learning","prev":"/task/representation-learning/papers/65","next":"/task/representation-learning/papers/67","papers":[{"url":null,"slug":"contrastive-representation-learning-based-on","title":"Contrastive Representation Learning Based on Multiple Node-centered Subgraphs","date":"2023-08-31","arxiv_id":"2308.16441","repositories_listed":0,"syntology":null},{"url":null,"slug":"masked-transformer-for-electrocardiogram","title":"Masked Transformer for Electrocardiogram Classification","date":"2023-08-31","arxiv_id":"2309.07136","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-representation-learning-for-unreliable","title":"Robust Representation Learning for Unreliable Partial Label Learning","date":"2023-08-31","arxiv_id":"2308.16718","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-long-tailed-recognition-for-graph","title":"Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts","date":"2023-08-31","arxiv_id":"2308.16609","repositories_listed":0,"syntology":null},{"url":null,"slug":"drgame-diversified-recommendation-for-multi","title":"DRGame: Diversified Recommendation for Multi-category Video Games with Balanced Implicit Preferences","date":"2023-08-30","arxiv_id":"2308.15823","repositories_listed":0,"syntology":null},{"url":null,"slug":"fedcir-client-invariant-representation","title":"FedCiR: Client-Invariant Representation Learning for Federated Non-IID Features","date":"2023-08-30","arxiv_id":"2308.15786","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-a-rigorous-analysis-of-mutual","title":"Towards a Rigorous Analysis of Mutual Information in Contrastive Learning","date":"2023-08-30","arxiv_id":"2308.15704","repositories_listed":0,"syntology":null},{"url":null,"slug":"artxai-explainable-artificial-intelligence","title":"ARTxAI: Explainable Artificial Intelligence Curates Deep Representation Learning for Artistic Images using Fuzzy Techniques","date":"2023-08-29","arxiv_id":"2308.15284","repositories_listed":0,"syntology":null},{"url":null,"slug":"caps-a-practical-partition-index-for-filtered","title":"CAPS: A Practical Partition Index for Filtered Similarity Search","date":"2023-08-29","arxiv_id":"2308.15014","repositories_listed":0,"syntology":null},{"url":null,"slug":"everything-perturbed-all-at-once-enabling","title":"Everything Perturbed All at Once: Enabling Differentiable Graph Attacks","date":"2023-08-29","arxiv_id":"2308.15614","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversified-ensemble-of-independent-sub","title":"Diversified Ensemble of Independent Sub-Networks for Robust Self-Supervised Representation Learning","date":"2023-08-28","arxiv_id":"2308.14705","repositories_listed":0,"syntology":null},{"url":null,"slug":"restore-graph-embedding-assessment-through","title":"RESTORE: Graph Embedding Assessment Through Reconstruction","date":"2023-08-28","arxiv_id":"2308.14659","repositories_listed":0,"syntology":null},{"url":null,"slug":"robustclevr-a-benchmark-and-framework-for","title":"RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-centric Learning","date":"2023-08-28","arxiv_id":"2308.14899","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-transformer-based-network-for","title":"A Unified Transformer-based Network for multimodal Emotion Recognition","date":"2023-08-27","arxiv_id":"2308.14160","repositories_listed":0,"syntology":null},{"url":null,"slug":"forensic-histopathological-recognition-via-a","title":"Forensic Histopathological Recognition via a Context-Aware MIL Network Powered by Self-Supervised Contrastive Learning","date":"2023-08-27","arxiv_id":"2308.14030","repositories_listed":0,"syntology":null},{"url":null,"slug":"only-encode-once-making-content-based-news","title":"Only Encode Once: Making Content-based News Recommender Greener","date":"2023-08-27","arxiv_id":"2308.14155","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-exemplars-for-continual-semantic","title":"Rethinking Exemplars for Continual Semantic Segmentation in Endoscopy Scenes: Entropy-based Mini-Batch Pseudo-Replay","date":"2023-08-27","arxiv_id":"2308.14100","repositories_listed":0,"syntology":null},{"url":null,"slug":"central-similarity-multi-view-hashing-for","title":"Central Similarity Multi-View Hashing for Multimedia Retrieval","date":"2023-08-26","arxiv_id":"2308.13774","repositories_listed":0,"syntology":null},{"url":null,"slug":"atmorep-a-stochastic-model-of-atmosphere","title":"AtmoRep: A stochastic model of atmosphere dynamics using large scale representation learning","date":"2023-08-25","arxiv_id":"2308.13280","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-learning-for-hotspot","title":"Self-supervised learning for hotspot detection and isolation from thermal images","date":"2023-08-25","arxiv_id":"2308.13204","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-representation-learning-with-3","title":"Self-Supervised Representation Learning with Cross-Context Learning between Global and Hypercolumn Features","date":"2023-08-25","arxiv_id":"2308.13392","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-co-training-approach-for-noisy-time-series","title":"A Co-training Approach for Noisy Time Series Learning","date":"2023-08-24","arxiv_id":"2308.12551","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalizable-zero-shot-speaker-adaptive","title":"Generalizable Zero-Shot Speaker Adaptive Speech Synthesis with Disentangled Representations","date":"2023-08-24","arxiv_id":"2308.13007","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-guided-masking-for-spatiotemporal","title":"Motion-Guided Masking for Spatiotemporal Representation Learning","date":"2023-08-24","arxiv_id":"2308.12962","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-spatiotemporal-correspondence-approach-to","title":"A Spatiotemporal Correspondence Approach to Unsupervised LiDAR Segmentation with Traffic Applications","date":"2023-08-23","arxiv_id":"2308.12433","repositories_listed":0,"syntology":null},{"url":null,"slug":"camera-driven-representation-learning-for","title":"Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification","date":"2023-08-23","arxiv_id":"2308.11901","repositories_listed":0,"syntology":null},{"url":null,"slug":"trustworthy-representation-learning-across","title":"Trustworthy Representation Learning Across Domains","date":"2023-08-23","arxiv_id":"2308.12315","repositories_listed":0,"syntology":null},{"url":null,"slug":"invariant-representation-learning-for-1","title":"Invariant representation learning for sequential recommendation","date":"2023-08-22","arxiv_id":"2308.11728","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-theory-guided-heuristic-1","title":"Information Theory-Guided Heuristic Progressive Multi-View Coding","date":"2023-08-21","arxiv_id":"2308.10522","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-graph-representation-learning-for","title":"Semantic Graph Representation Learning for Handwritten Mathematical Expression Recognition","date":"2023-08-21","arxiv_id":"2308.10493","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-disentangled-representation-with","title":"Learning Disentangled Representation with Mutual Information Maximization for Real-Time UAV Tracking","date":"2023-08-20","arxiv_id":"2308.10262","repositories_listed":0,"syntology":null},{"url":null,"slug":"preserving-specificity-in-federated-graph","title":"Preserving Specificity in Federated Graph Learning for fMRI-based Neurological Disorder Identification","date":"2023-08-20","arxiv_id":"2308.10302","repositories_listed":0,"syntology":null},{"url":null,"slug":"octal-graph-representation-learning-for-ltl-1","title":"OCTAL: Graph Representation Learning for LTL Model Checking","date":"2023-08-19","arxiv_id":"2308.13474","repositories_listed":0,"syntology":null},{"url":null,"slug":"scene-aware-feature-matching","title":"Scene-Aware Feature Matching","date":"2023-08-19","arxiv_id":"2308.09949","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-snowflake-hypothesis-training-deep-gnn","title":"The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field","date":"2023-08-19","arxiv_id":"2308.10051","repositories_listed":0,"syntology":null},{"url":null,"slug":"artificial-spiking-hierarchical-networks-for","title":"Artificial-Spiking Hierarchical Networks for Vision-Language Representation Learning","date":"2023-08-18","arxiv_id":"2308.09455","repositories_listed":0,"syntology":null},{"url":null,"slug":"ccface-classification-consistency-for-low","title":"CCFace: Classification Consistency for Low-Resolution Face Recognition","date":"2023-08-18","arxiv_id":"2308.09230","repositories_listed":0,"syntology":null},{"url":null,"slug":"point-contrastive-prediction-with-semantic","title":"Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos","date":"2023-08-18","arxiv_id":"2308.09247","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-model-agnostic-framework-for-recommendation","title":"A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings","date":"2023-08-17","arxiv_id":"2308.09202","repositories_listed":0,"syntology":null},{"url":null,"slug":"imm-an-imitative-reinforcement-learning","title":"IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making","date":"2023-08-17","arxiv_id":"2308.08918","repositories_listed":0,"syntology":null},{"url":null,"slug":"moclim-towards-accurate-cancer-subtyping-via","title":"MoCLIM: Towards Accurate Cancer Subtyping via Multi-Omics Contrastive Learning with Omics-Inference Modeling","date":"2023-08-17","arxiv_id":"2308.09725","repositories_listed":0,"syntology":null},{"url":null,"slug":"simfir-a-simple-framework-for-fisheye-image","title":"SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning","date":"2023-08-17","arxiv_id":"2308.09040","repositories_listed":0,"syntology":null},{"url":null,"slug":"is-meta-learning-the-right-approach-for-the","title":"Is Meta-Learning the Right Approach for the Cold-Start Problem in Recommender Systems?","date":"2023-08-16","arxiv_id":"2308.08354","repositories_listed":0,"syntology":null},{"url":null,"slug":"stable-and-causal-inference-for","title":"Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations","date":"2023-08-16","arxiv_id":"2308.08321","repositories_listed":0,"syntology":null},{"url":null,"slug":"kmf-knowledge-aware-multi-faceted","title":"KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification","date":"2023-08-15","arxiv_id":"2308.08563","repositories_listed":0,"syntology":null},{"url":null,"slug":"hpformer-hyperspectral-image-prompt-object","title":"HHTrack: Hyperspectral Object Tracking Using Hybrid Attention","date":"2023-08-14","arxiv_id":"2308.07016","repositories_listed":0,"syntology":null},{"url":null,"slug":"pnnclr-stochastic-pseudo-neighborhoods-for","title":"pNNCLR: Stochastic Pseudo Neighborhoods for Contrastive Learning based Unsupervised Representation Learning Problems","date":"2023-08-14","arxiv_id":"2308.06983","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-real-time-scene-text-detection","title":"Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning","date":"2023-08-14","arxiv_id":"2308.07202","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributionally-robust-optimization-and-1","title":"Distributionally Robust Optimization and Invariant Representation Learning for Addressing Subgroup Underrepresentation: Mechanisms and Limitations","date":"2023-08-12","arxiv_id":"2308.06434","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-task-specific-bottom-representation","title":"Deep Task-specific Bottom Representation Network for Multi-Task Recommendation","date":"2023-08-11","arxiv_id":"2308.05996","repositories_listed":0,"syntology":null},{"url":null,"slug":"uncertainty-aware-cross-modal-transfer","title":"Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval","date":"2023-08-11","arxiv_id":"2308.05948","repositories_listed":0,"syntology":null},{"url":null,"slug":"cspm-a-contrastive-spatiotemporal-preference","title":"CSPM: A Contrastive Spatiotemporal Preference Model for CTR Prediction in On-Demand Food Delivery Services","date":"2023-08-10","arxiv_id":"2308.08446","repositories_listed":0,"syntology":null},{"url":null,"slug":"pareto-invariant-representation-learning-for","title":"Pareto Invariant Representation Learning for Multimedia Recommendation","date":"2023-08-09","arxiv_id":"2308.04706","repositories_listed":0,"syntology":null},{"url":null,"slug":"representation-learning-for-audio-privacy","title":"Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning","date":"2023-08-09","arxiv_id":"2308.04960","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalization-bound-for-estimating-causal","title":"Generalization bound for estimating causal effects from observational network data","date":"2023-08-08","arxiv_id":"2308.04011","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-speaker-embedding","title":"Investigating Speaker Embedding Disentanglement on Natural Read Speech","date":"2023-08-08","arxiv_id":"2308.04225","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-learning-operators-to-optimality-from","title":"Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data","date":"2023-08-08","arxiv_id":"2308.04428","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-feature-learning-for-wireless-spectrum","title":"Deep Feature Learning for Wireless Spectrum Data","date":"2023-08-07","arxiv_id":"2308.03530","repositories_listed":0,"syntology":null},{"url":null,"slug":"imbalanced-large-graph-learning-framework-for","title":"Imbalanced Large Graph Learning Framework for FPGA Logic Elements Packing Prediction","date":"2023-08-07","arxiv_id":"2308.03231","repositories_listed":0,"syntology":null},{"url":null,"slug":"local-structure-aware-graph-contrastive","title":"Local Structure-aware Graph Contrastive Representation Learning","date":"2023-08-07","arxiv_id":"2308.03271","repositories_listed":0,"syntology":null},{"url":null,"slug":"moma-force-visual-force-imitation-for-real","title":"MOMA-Force: Visual-Force Imitation for Real-World Mobile Manipulation","date":"2023-08-07","arxiv_id":"2308.03624","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-based-person-re-identification-with-3","title":"Video-based Person Re-identification with Long Short-Term Representation Learning","date":"2023-08-07","arxiv_id":"2308.03703","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-multi-task-representation","title":"Weakly Supervised Multi-Task Representation Learning for Human Activity Analysis Using Wearables","date":"2023-08-06","arxiv_id":"2308.03805","repositories_listed":0,"syntology":null},{"url":null,"slug":"bootstrapping-contrastive-learning-enhanced","title":"Bootstrapping Contrastive Learning Enhanced Music Cold-Start Matching","date":"2023-08-05","arxiv_id":"2308.02844","repositories_listed":0,"syntology":null},{"url":null,"slug":"diffdance-cascaded-human-motion-diffusion","title":"DiffDance: Cascaded Human Motion Diffusion Model for Dance Generation","date":"2023-08-05","arxiv_id":"2308.02915","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversify-a-general-framework-for-time-series","title":"DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization","date":"2023-08-04","arxiv_id":"2308.02282","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-provenance-via-model-dna","title":"Model Provenance via Model DNA","date":"2023-08-04","arxiv_id":"2308.02121","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-representation-learning-for","title":"Federated Representation Learning for Automatic Speech Recognition","date":"2023-08-03","arxiv_id":"2308.02013","repositories_listed":0,"syntology":null},{"url":null,"slug":"factor-graph-neural-networks-1","title":"Factor Graph Neural Networks","date":"2023-08-02","arxiv_id":"2308.00887","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-contrastive-learning-with-generative","title":"Graph Contrastive Learning with Generative Adversarial Network","date":"2023-08-01","arxiv_id":"2308.00535","repositories_listed":0,"syntology":null},{"url":"/paper/lowis3d-language-driven-open-world-instance","slug":"lowis3d-language-driven-open-world-instance","title":"Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding","date":"2023-08-01","arxiv_id":"2308.00353","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-darl-contrastive-diffusion-adversarial","title":"C-DARL: Contrastive diffusion adversarial representation learning for label-free blood vessel segmentation","date":"2023-07-31","arxiv_id":"2308.00193","repositories_listed":0,"syntology":null},{"url":null,"slug":"contrastive-conditional-latent-diffusion-for","title":"Contrastive Conditional Latent Diffusion for Audio-visual Segmentation","date":"2023-07-31","arxiv_id":"2307.16579","repositories_listed":0,"syntology":null},{"url":null,"slug":"relation-oriented-toward-knowledge-aligned","title":"Relation-Oriented: Toward Causal Knowledge-Aligned AGI","date":"2023-07-31","arxiv_id":"2307.16387","repositories_listed":0,"syntology":null},{"url":null,"slug":"infostyler-disentanglement-information","title":"InfoStyler: Disentanglement Information Bottleneck for Artistic Style Transfer","date":"2023-07-30","arxiv_id":"2307.16227","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-condensation-for-inductive-node","title":"Graph Condensation for Inductive Node Representation Learning","date":"2023-07-29","arxiv_id":"2307.15967","repositories_listed":0,"syntology":null},{"url":null,"slug":"handmim-pose-aware-self-supervised-learning","title":"HandMIM: Pose-Aware Self-Supervised Learning for 3D Hand Mesh Estimation","date":"2023-07-29","arxiv_id":"2307.16061","repositories_listed":0,"syntology":null},{"url":null,"slug":"muse-multi-view-contrastive-learning-for","title":"MUSE: Multi-View Contrastive Learning for Heterophilic Graphs","date":"2023-07-29","arxiv_id":"2307.16026","repositories_listed":0,"syntology":null},{"url":null,"slug":"unibrivl-robust-universal-representation-and","title":"UniBriVL: Robust Universal Representation and Generation of Audio Driven Diffusion Models","date":"2023-07-29","arxiv_id":"2307.15898","repositories_listed":0,"syntology":null},{"url":null,"slug":"point-clouds-are-specialized-images-a","title":"Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding","date":"2023-07-28","arxiv_id":"2307.15569","repositories_listed":0,"syntology":null},{"url":null,"slug":"simdetr-simplifying-self-supervised","title":"Aligned Unsupervised Pretraining of Object Detectors with Self-training","date":"2023-07-28","arxiv_id":"2307.15697","repositories_listed":0,"syntology":null},{"url":null,"slug":"gader-gait-detection-and-recognition-in-the","title":"Distillation-guided Representation Learning for Unconstrained Gait Recognition","date":"2023-07-27","arxiv_id":"2307.14578","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-memory-decoding-with-eeg-data-and","title":"Neural Memory Decoding with EEG Data and Representation Learning","date":"2023-07-25","arxiv_id":"2307.13181","repositories_listed":0,"syntology":null},{"url":null,"slug":"speech-representation-learning-learning","title":"Speech representation learning: Learning bidirectional encoders with single-view, multi-view, and multi-task methods","date":"2023-07-25","arxiv_id":"2308.00129","repositories_listed":0,"syntology":null},{"url":"/paper/chatgpt-for-software-security-exploring-the","slug":"chatgpt-for-software-security-exploring-the","title":"How Does Naming Affect LLMs on Code Analysis Tasks?","date":"2023-07-24","arxiv_id":"2307.12488","repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-capable-harnessing-graph-neural","title":"Compact & Capable: Harnessing Graph Neural Networks and Edge Convolution for Medical Image Classification","date":"2023-07-24","arxiv_id":"2307.12790","repositories_listed":0,"syntology":null},{"url":null,"slug":"de-confounding-representation-learning-for","title":"De-confounding Representation Learning for Counterfactual Inference on Continuous Treatment via Generative Adversarial Network","date":"2023-07-24","arxiv_id":"2307.12625","repositories_listed":0,"syntology":null},{"url":null,"slug":"dephn-different-expression-parallel","title":"DEPHN: Different Expression Parallel Heterogeneous Network using virtual gradient optimization for Multi-task Learning","date":"2023-07-24","arxiv_id":"2307.12519","repositories_listed":0,"syntology":null},{"url":null,"slug":"phase-match-for-out-of-distribution","title":"Phase Matching for Out-of-Distribution Generalization","date":"2023-07-24","arxiv_id":"2307.12622","repositories_listed":0,"syntology":null},{"url":null,"slug":"hallucination-improves-the-performance-of","title":"Hallucination Improves the Performance of Unsupervised Visual Representation Learning","date":"2023-07-22","arxiv_id":"2307.12168","repositories_listed":0,"syntology":null},{"url":null,"slug":"deftri-a-few-shot-label-fused-contextual-1","title":"DEFTri: A Few-Shot Label Fused Contextual Representation Learning For Product Defect Triage in e-Commerce","date":"2023-07-21","arxiv_id":"2307.11344","repositories_listed":0,"syntology":null},{"url":null,"slug":"scalable-multi-agent-skill-discovery-based-on","title":"Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs","date":"2023-07-21","arxiv_id":"2307.11629","repositories_listed":0,"syntology":null},{"url":null,"slug":"masr-metadata-aware-speech-representation","title":"MASR: Multi-label Aware Speech Representation","date":"2023-07-20","arxiv_id":"2307.10982","repositories_listed":0,"syntology":null},{"url":null,"slug":"representation-learning-in-anomaly-detection","title":"Representation Learning in Anomaly Detection: Successes, Limits and a Grand Challenge","date":"2023-07-20","arxiv_id":"2307.11085","repositories_listed":0,"syntology":null},{"url":null,"slug":"retouchingffhq-a-large-scale-dataset-for-fine","title":"RetouchingFFHQ: A Large-scale Dataset for Fine-grained Face Retouching Detection","date":"2023-07-20","arxiv_id":"2307.10642","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-on-the-effects-of-speaker","title":"An analysis on the effects of speaker embedding choice in non auto-regressive TTS","date":"2023-07-19","arxiv_id":"2307.09898","repositories_listed":0,"syntology":null},{"url":null,"slug":"discover-disentangled-music-representation","title":"DisCover: Disentangled Music Representation Learning for Cover Song Identification","date":"2023-07-19","arxiv_id":"2307.09775","repositories_listed":0,"syntology":null},{"url":null,"slug":"company2vec-german-company-embeddings-based","title":"Company2Vec -- German Company Embeddings based on Corporate Websites","date":"2023-07-18","arxiv_id":"2307.09332","repositories_listed":0,"syntology":null},{"url":null,"slug":"graphcl-dta-a-graph-contrastive-learning-with","title":"GraphCL-DTA: a graph contrastive learning with molecular semantics for drug-target binding affinity prediction","date":"2023-07-18","arxiv_id":"2307.08989","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-dynamic-attribute-factored-world","title":"Learning Dynamic Attribute-factored World Models for Efficient Multi-object Reinforcement Learning","date":"2023-07-18","arxiv_id":"2307.09205","repositories_listed":0,"syntology":null}],"record_sha256":"309ce5092893d4f316e84f4f0a66a4296a60c37bc8cc47dca0ae4920eba49a57","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}