{"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/retrieval/papers/103","list_of":"/task/retrieval","task":"Retrieval","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":103,"pages_in_order":143,"rows_per_page":100,"rows":[10201,10300],"of":14297,"counts":{"archive_papers_tagged":14297,"with_a_code_link":5274,"where_syntology_ran_a_sample":1303,"not_listed_spam_title":0,"listed":14297,"listed_where_code_ran":1303,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":1067,"every_run_a_failure_of_syntologys_instrument":236,"listed_with_a_run_with_no_instrument_failure":1067,"listed_every_run_a_failure_of_syntologys_instrument":236,"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/retrieval","prev":"/task/retrieval/papers/102","next":"/task/retrieval/papers/104","papers":[{"url":null,"slug":"sparse-attention-with-learning-to-hash","title":"Sparse Attention with Learning to Hash","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"vi-mix-for-self-supervised-video","title":"Vi-MIX FOR SELF-SUPERVISED VIDEO REPRESENTATION","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-dense-retrieval-with-momentum","title":"Zero-Shot Dense Retrieval with Momentum Adversarial Domain Invariant Representation","date":"2021-09-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"high-throughput-lensless-whole-slide-imaging","title":"High-throughput lensless whole slide imaging via continuous height-varying modulation of tilted sensor","date":"2021-09-28","arxiv_id":"2110.01989","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-ediscovery-medicine-show","title":"The eDiscovery Medicine Show","date":"2021-09-28","arxiv_id":"2109.13908","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributionally-robust-multi-output","title":"Distributionally Robust Multi-Output Regression Ranking","date":"2021-09-27","arxiv_id":"2109.12803","repositories_listed":0,"syntology":null},{"url":null,"slug":"frequency-disentangled-residual-network","title":"Frequency Disentangled Residual Network","date":"2021-09-26","arxiv_id":"2109.12556","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-video-representation-learning-9","title":"Self-Supervised Video Representation Learning by Video Incoherence Detection","date":"2021-09-26","arxiv_id":"2109.12493","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-patch-convolutional-neural-network","title":"A Novel Patch Convolutional Neural Network for View-based 3D Model Retrieval","date":"2021-09-25","arxiv_id":"2109.12299","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-selectively-learn-for-weakly","title":"Learning to Selectively Learn for Weakly-supervised Paraphrase Generation","date":"2021-09-25","arxiv_id":"2109.12457","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-proposal-of-automatic-error-correction-in","title":"A Proposal of Automatic Error Correction in Text","date":"2021-09-24","arxiv_id":"2112.01846","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-deep-learning-for-persistent","title":"Distributed Deep Learning for Persistent Monitoring of agricultural Fields","date":"2021-09-24","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-universal-dense-retrieval-for-open","title":"Towards Universal Dense Retrieval for Open-domain Question Answering","date":"2021-09-23","arxiv_id":"2109.11085","repositories_listed":0,"syntology":null},{"url":null,"slug":"context-aware-tree-based-deep-model-for","title":"Context-aware Tree-based Deep Model for Recommender Systems","date":"2021-09-22","arxiv_id":"2109.10602","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-compositional-color","title":"Generating Compositional Color Representations from Text","date":"2021-09-22","arxiv_id":"2109.10477","repositories_listed":0,"syntology":null},{"url":null,"slug":"gradml-a-gradient-based-loss-for-deep-metric","title":"GradML: A Gradient-based Loss for Deep Metric Learning","date":"2021-09-22","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-efficiency-effectiveness-trade","title":"Predicting Efficiency/Effectiveness Trade-offs for Dense vs. Sparse Retrieval Strategy Selection","date":"2021-09-22","arxiv_id":"2109.10739","repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-interval-retrieval-using-convolutional","title":"Audio Interval Retrieval using Convolutional Neural Networks","date":"2021-09-21","arxiv_id":"2109.09906","repositories_listed":0,"syntology":null},{"url":"/paper/convfit-conversational-fine-tuning-of","slug":"convfit-conversational-fine-tuning-of","title":"ConvFiT: Conversational Fine-Tuning of Pretrained Language Models","date":"2021-09-21","arxiv_id":"2109.10126","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":0,"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/convfit-conversational-fine-tuning-of#ran","syntology_url":"https://syntology.ai/paper/2109.10126","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.10126"}},"official":null}},{"url":null,"slug":"homography-augumented-momentum-constrastive","title":"Homography augumented momentum constrastive learning for SAR image retrieval","date":"2021-09-21","arxiv_id":"2109.10329","repositories_listed":0,"syntology":null},{"url":null,"slug":"retronlu-retrieval-augmented-task-oriented","title":"RETRONLU: Retrieval Augmented Task-Oriented Semantic Parsing","date":"2021-09-21","arxiv_id":"2109.10410","repositories_listed":0,"syntology":null},{"url":null,"slug":"when-expertise-gone-missing-uncovering-the","title":"When expertise gone missing: Uncovering the loss of prolific contributors in Wikipedia","date":"2021-09-21","arxiv_id":"2109.09979","repositories_listed":0,"syntology":null},{"url":null,"slug":"reliable-linearized-phase-retrieval-for-near","title":"Reliable Linearized Phase Retrieval for Near-Field Antenna Measurements with Truncated Measurement Surfaces","date":"2021-09-20","arxiv_id":"2109.10864","repositories_listed":0,"syntology":null},{"url":null,"slug":"mm-deacon-multimodal-molecular-domain","title":"Multilingual Molecular Representation Learning via Contrastive Pre-training","date":"2021-09-18","arxiv_id":"2109.08830","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-handling-unconstrained-user","title":"Towards Handling Unconstrained User Preferences in Dialogue","date":"2021-09-17","arxiv_id":"2109.08650","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-medical-pre-diagnosis-system-for","title":"A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer","date":"2021-09-16","arxiv_id":"2109.07878","repositories_listed":0,"syntology":null},{"url":null,"slug":"associative-memories-via-predictive-coding","title":"Associative Memories via Predictive Coding","date":"2021-09-16","arxiv_id":"2109.08063","repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-binary-fingerprint-for-image-copy-re","title":"Compact Binary Fingerprint for Image Copy Re-Ranking","date":"2021-09-16","arxiv_id":"2109.07802","repositories_listed":0,"syntology":null},{"url":"/paper/objectfolder-a-dataset-of-objects-with","slug":"objectfolder-a-dataset-of-objects-with","title":"ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations","date":"2021-09-16","arxiv_id":"2109.07991","repositories_listed":0,"syntology":null},{"url":null,"slug":"quoka-atlas-of-scholarly-knowledge-production","title":"Quoka Atlas of Scholarly Knowledge Production: An Interactive Sensemaking Tool for Exploring the Outputs of Research Institutions","date":"2021-09-16","arxiv_id":"2109.07689","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrievalsum-a-retrieval-enhanced-framework","title":"RetrievalSum: A Retrieval Enhanced Framework for Abstractive Summarization","date":"2021-09-16","arxiv_id":"2109.07943","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-embedding-discovering-communities-on","title":"Co-Embedding: Discovering Communities on Bipartite Graphs through Projection","date":"2021-09-15","arxiv_id":"2109.07135","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-semantic-indexing-structure-for-image","title":"A Semantic Indexing Structure for Image Retrieval","date":"2021-09-14","arxiv_id":"2109.06583","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-system-for-information-extraction-from","title":"A system for information extraction from scientific texts in Russian","date":"2021-09-14","arxiv_id":"2109.06703","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenging-instances-are-worth-learning","title":"Challenging Instances are Worth Learning: Generating Valuable Negative Samples for Response Selection Training","date":"2021-09-14","arxiv_id":"2109.06538","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-cocoons-in-online-navigation","title":"Information Cocoons in Online Navigation","date":"2021-09-14","arxiv_id":"2109.06589","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-answer-type-prediction-using-bert","title":"Semantic Answer Type Prediction using BERT: IAI at the ISWC SMART Task 2020","date":"2021-09-14","arxiv_id":"2109.06714","repositories_listed":0,"syntology":null},{"url":null,"slug":"statistical-inference-the-missing-piece-of","title":"Statistical Inference: The Missing Piece of RecSys Experiment Reliability Discourse","date":"2021-09-14","arxiv_id":"2109.06424","repositories_listed":0,"syntology":null},{"url":null,"slug":"yes-sir-optimizing-semantic-space-of","title":"YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker","date":"2021-09-14","arxiv_id":"2109.06436","repositories_listed":0,"syntology":null},{"url":null,"slug":"bert-for-target-apps-selection-analyzing-the","title":"BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search","date":"2021-09-13","arxiv_id":"2109.06306","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-retrieval-for-claim-verification","title":"Graph-based Retrieval for Claim Verification over Cross-Document Evidence","date":"2021-09-13","arxiv_id":"2109.06022","repositories_listed":0,"syntology":null},{"url":null,"slug":"keyword-extraction-for-improved-document","title":"Keyword Extraction for Improved Document Retrieval in Conversational Search","date":"2021-09-13","arxiv_id":"2109.05979","repositories_listed":0,"syntology":null},{"url":null,"slug":"monocular-camera-localization-for-automated","title":"Monocular Camera Localization for Automated Vehicles Using Image Retrieval","date":"2021-09-13","arxiv_id":"2109.06296","repositories_listed":0,"syntology":null},{"url":null,"slug":"successive-convex-approximation-for-phase","title":"Extended Successive Convex Approximation for Phase Retrieval with Dictionary Learning","date":"2021-09-13","arxiv_id":"2109.05646","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-complex-constrained-total-variation-image","title":"A Complex Constrained Total Variation Image Denoising Algorithm with Application to Phase Retrieval","date":"2021-09-12","arxiv_id":"2109.05496","repositories_listed":0,"syntology":null},{"url":null,"slug":"constructing-phrase-level-semantic-labels-to","title":"Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval","date":"2021-09-12","arxiv_id":"2109.05523","repositories_listed":0,"syntology":null},{"url":null,"slug":"stylistic-retrieval-based-dialogue-system","title":"Stylistic Retrieval-based Dialogue System with Unparallel Training Data","date":"2021-09-12","arxiv_id":"2109.05477","repositories_listed":0,"syntology":null},{"url":null,"slug":"pyramid-hybrid-pooling-quantization-for","title":"PHPQ: Pyramid Hybrid Pooling Quantization for Efficient Fine-Grained Image Retrieval","date":"2021-09-11","arxiv_id":"2109.05206","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficientclip-efficient-cross-modal-pre","title":"EfficientCLIP: Efficient Cross-Modal Pre-training by Ensemble Confident Learning and Language Modeling","date":"2021-09-10","arxiv_id":"2109.04699","repositories_listed":0,"syntology":null},{"url":"/paper/mural-multimodal-multitask-retrieval-across","slug":"mural-multimodal-multitask-retrieval-across","title":"MURAL: Multimodal, Multitask Retrieval Across Languages","date":"2021-09-10","arxiv_id":"2109.05125","repositories_listed":0,"syntology":null},{"url":null,"slug":"refocusing-on-relevance-personalization-in","title":"Refocusing on Relevance: Personalization in NLG","date":"2021-09-10","arxiv_id":"2109.05140","repositories_listed":0,"syntology":null},{"url":null,"slug":"enabling-variable-high-spatial-resolution","title":"Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor","date":"2021-09-09","arxiv_id":"2109.10349","repositories_listed":0,"syntology":null},{"url":null,"slug":"tiny-cnn-for-feature-point-description-for","title":"Tiny CNN for feature point description for document analysis: approach and dataset","date":"2021-09-09","arxiv_id":"2109.04134","repositories_listed":0,"syntology":null},{"url":null,"slug":"mixed-attention-transformer-for","title":"Mixed Attention Transformer for Leveraging Word-Level Knowledge to Neural Cross-Lingual Information Retrieval","date":"2021-09-07","arxiv_id":"2109.02789","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-privacy-preserving-image-retrieval-scheme","title":"A Privacy-Preserving Image Retrieval Scheme Using A Codebook Generated From Independent Plain-Image Dataset","date":"2021-09-04","arxiv_id":"2109.01841","repositories_listed":0,"syntology":null},{"url":null,"slug":"cap-net-correspondence-aware-point-view","title":"LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition","date":"2021-09-03","arxiv_id":"2109.01291","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-training-with-dense-retrieval","title":"Cross-Lingual Training with Dense Retrieval for Document Retrieval","date":"2021-09-03","arxiv_id":"2109.01628","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-metric-learning-for-ground-images","title":"Deep Metric Learning for Ground Images","date":"2021-09-03","arxiv_id":"2109.01569","repositories_listed":0,"syntology":null},{"url":null,"slug":"bilingual-terminology-extraction-using-neural","title":"Bilingual Terminology Extraction Using Neural Word Embeddings on Comparable Corpora","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"boosting-search-engines-with-interactive","title":"Boosting Search Engines with Interactive Agents","date":"2021-09-01","arxiv_id":"2109.00527","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-recognizing-question-entailment","title":"Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hypergraph-of-entity-a-general-model-for","title":"Hypergraph-of-Entity: A General Model for Entity-Oriented Search","date":"2021-09-01","arxiv_id":"2109.00450","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-evidence-retrieval-with-claim","title":"Improving Evidence Retrieval with Claim-Evidence Entailment","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"introducing-linguistic-transformation-to","title":"Introducing linguistic transformation to improve translation memory retrieval. Results of a professional translators’ survey for Spanish, French and Arabic","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"text-retrieval-for-language-learners-graded","title":"Text Retrieval for Language Learners: Graded Vocabulary vs. Open Learner Model","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"translation-memory-retrieval-using-lucene","title":"Translation Memory Retrieval Using Lucene","date":"2021-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-dna-storage-scalable-and-robust-dna","title":"Deep DNA Storage: Scalable and Robust DNA Storage via Coding Theory and Deep Learning","date":"2021-08-31","arxiv_id":"2109.00031","repositories_listed":0,"syntology":null},{"url":null,"slug":"x2teeth-3d-teeth-reconstruction-from-a-single","title":"X2Teeth: 3D Teeth Reconstruction from a Single Panoramic Radiograph","date":"2021-08-30","arxiv_id":"2108.13004","repositories_listed":0,"syntology":null},{"url":null,"slug":"attentive-rotation-invariant-convolution-for","title":"RPR-Net: A Point Cloud-based Rotation-aware Large Scale Place Recognition Network","date":"2021-08-29","arxiv_id":"2108.12790","repositories_listed":0,"syntology":null},{"url":null,"slug":"code-switched-inspired-losses-for-generic","title":"Code-switched inspired losses for generic spoken dialog representations","date":"2021-08-27","arxiv_id":"2108.12465","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-automatic-image-content-retrieval-method","title":"An Automatic Image Content Retrieval Method for better Mobile Device Display User Experiences","date":"2021-08-26","arxiv_id":"2108.12068","repositories_listed":0,"syntology":null},{"url":null,"slug":"drop-dtw-aligning-common-signal-between","title":"Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers","date":"2021-08-26","arxiv_id":"2108.11996","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometry-based-machining-feature-retrieval","title":"Geometry Based Machining Feature Retrieval with Inductive Transfer Learning","date":"2021-08-26","arxiv_id":"2108.11838","repositories_listed":0,"syntology":null},{"url":null,"slug":"state-of-the-art-image-hashing","title":"State of the Art: Image Hashing","date":"2021-08-26","arxiv_id":"2108.11794","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-riemannian-framework-for-analysis-of-human","title":"A Riemannian Framework for Analysis of Human Body Surface","date":"2021-08-25","arxiv_id":"2108.11449","repositories_listed":0,"syntology":null},{"url":null,"slug":"making-person-search-enjoy-the-merits-of","title":"Making Person Search Enjoy the Merits of Person Re-identification","date":"2021-08-24","arxiv_id":"2108.10536","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-bert-encoding-and-sentence-level","title":"Using BERT Encoding and Sentence-Level Language Model for Sentence Ordering","date":"2021-08-24","arxiv_id":"2108.10986","repositories_listed":0,"syntology":null},{"url":null,"slug":"sequence-to-sequence-learning-on-keywords-for","title":"Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval","date":"2021-08-23","arxiv_id":"2108.10019","repositories_listed":0,"syntology":null},{"url":"/paper/taco-token-aware-cascade-contrastive-learning","slug":"taco-token-aware-cascade-contrastive-learning","title":"TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment","date":"2021-08-23","arxiv_id":"2108.09980","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-server-private-linear-computation-with","title":"Multi-Server Private Linear Computation with Joint and Individual Privacy Guarantees","date":"2021-08-20","arxiv_id":"2108.09271","repositories_listed":0,"syntology":null},{"url":null,"slug":"patch2cad-patchwise-embedding-learning-for-in","title":"Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image","date":"2021-08-20","arxiv_id":"2108.09368","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-supervised-network-embedding-with","title":"Semi-supervised Network Embedding with Differentiable Deep Quantisation","date":"2021-08-20","arxiv_id":"2108.09128","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-domain-adaptive-hash-for","title":"Unsupervised Domain-adaptive Hash for Networks","date":"2021-08-20","arxiv_id":"2108.09136","repositories_listed":0,"syntology":null},{"url":null,"slug":"web-image-search-engine-based-on-lsh-index","title":"Web image search engine based on LSH index and CNN Resnet50","date":"2021-08-20","arxiv_id":"2108.13301","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-and-localization-with-observation","title":"Retrieval and Localization with Observation Constraints","date":"2021-08-19","arxiv_id":"2108.08516","repositories_listed":0,"syntology":null},{"url":"/paper/self-supervised-video-representation-learning-8","slug":"self-supervised-video-representation-learning-8","title":"Self-Supervised Video Representation Learning with Meta-Contrastive Network","date":"2021-08-19","arxiv_id":"2108.08426","repositories_listed":0,"syntology":null},{"url":null,"slug":"analogical-learning-in-tactical-decision","title":"Analogical Learning in Tactical Decision Games","date":"2021-08-18","arxiv_id":"2108.08227","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-and-reconstruction-of","title":"Classification and reconstruction of spatially overlapping phase images using diffractive optical networks","date":"2021-08-18","arxiv_id":"2108.07977","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-federated-representations-and","title":"Learning Federated Representations and Recommendations with Limited Negatives","date":"2021-08-18","arxiv_id":"2108.07931","repositories_listed":0,"syntology":null},{"url":null,"slug":"tsi-an-ad-text-strength-indicator-using-text","title":"TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity","date":"2021-08-18","arxiv_id":"2108.08226","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-capacity-of-neural-network-models","title":"Memory capacity of neural network models","date":"2021-08-17","arxiv_id":"2108.07839","repositories_listed":0,"syntology":null},{"url":null,"slug":"moon-multi-hash-codes-joint-learning-for","title":"MOON: Multi-Hash Codes Joint Learning for Cross-Media Retrieval","date":"2021-08-17","arxiv_id":"2109.00883","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextual-mood-analysis-with-knowledge-graph","title":"Contextual Mood Analysis with Knowledge Graph Representation for Hindi Song Lyrics in Devanagari Script","date":"2021-08-16","arxiv_id":"2108.06947","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-self-adaptive-hashing-for-image","title":"Deep Self-Adaptive Hashing for Image Retrieval","date":"2021-08-16","arxiv_id":"2108.07094","repositories_listed":0,"syntology":null},{"url":null,"slug":"reassessing-the-limitations-of-cnn-methods","title":"Reassessing the Limitations of CNN Methods for Camera Pose Regression","date":"2021-08-16","arxiv_id":"2108.07260","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-the-understanding-of-deep-text","title":"Toward the Understanding of Deep Text Matching Models for Information Retrieval","date":"2021-08-16","arxiv_id":"2108.07081","repositories_listed":0,"syntology":null},{"url":null,"slug":"deployment-of-a-free-text-analytics-platform","title":"Deployment of a Free-Text Analytics Platform at a UK National Health Service Research Hospital: CogStack at University College London Hospitals","date":"2021-08-15","arxiv_id":"2108.06835","repositories_listed":0,"syntology":null},{"url":null,"slug":"disease-oriented-image-embedding-with-pseudo","title":"Disease-oriented image embedding with pseudo-scanner standardization for content-based image retrieval on 3D brain MRI","date":"2021-08-14","arxiv_id":"2108.06518","repositories_listed":0,"syntology":null},{"url":null,"slug":"gqe-prf-generative-query-expansion-with","title":"GQE-PRF: Generative Query Expansion with Pseudo-Relevance Feedback","date":"2021-08-13","arxiv_id":"2108.06010","repositories_listed":0,"syntology":null},{"url":null,"slug":"harmonic-retrieval-of-cfo-and-frame","title":"Harmonic Retrieval of CFO and Frame Misalignment for OFDM-based Inter-Satellite Links","date":"2021-08-13","arxiv_id":"2108.06074","repositories_listed":0,"syntology":null}],"record_sha256":"30c5fe006ba0747b3dcbc5a50d23309889b6174b2ba3ea910a7032abb367d8ba","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}