{"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/115","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":115,"pages_in_order":143,"rows_per_page":100,"rows":[11401,11500],"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/114","next":"/task/retrieval/papers/116","papers":[{"url":null,"slug":"on-the-role-of-features-in-vertex-nomination","title":"Vertex Nomination in Richly Attributed Networks","date":"2020-04-29","arxiv_id":"2005.02151","repositories_listed":0,"syntology":null},{"url":null,"slug":"provably-secure-symmetric-private-information","title":"Provably-secure symmetric private information retrieval with quantum cryptography","date":"2020-04-29","arxiv_id":"2004.13921","repositories_listed":0,"syntology":null},{"url":null,"slug":"topic-propagation-in-conversational-search","title":"Topic Propagation in Conversational Search","date":"2020-04-29","arxiv_id":"2004.14054","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-neural-retrieval-via-domain","title":"Zero-shot Neural Passage Retrieval via Domain-targeted Synthetic Question Generation","date":"2020-04-29","arxiv_id":"2004.14503","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-projected-subgradient-method-for","title":"On Distributed Non-convex Optimization: Projected Subgradient Method For Weakly Convex Problems in Networks","date":"2020-04-28","arxiv_id":"2004.13233","repositories_listed":0,"syntology":null},{"url":null,"slug":"earl-speedup-transformer-based-rankers-with","title":"Modularized Transfomer-based Ranking Framework","date":"2020-04-28","arxiv_id":"2004.13313","repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-type-prediction-in-knowledge-graphs","title":"Entity Type Prediction in Knowledge Graphs using Embeddings","date":"2020-04-28","arxiv_id":"2004.13702","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-polynomials-of-few-relevant","title":"Learning Polynomials of Few Relevant Dimensions","date":"2020-04-28","arxiv_id":"2004.13748","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-reliability-of-test-collections-for","title":"On the Reliability of Test Collections for Evaluating Systems of Different Types","date":"2020-04-28","arxiv_id":"2004.13486","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-textual-evidence-mining-in-covid-19","title":"Automatic Textual Evidence Mining in COVID-19 Literature","date":"2020-04-27","arxiv_id":"2004.12563","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-stochastic-rankings-with-expected","title":"Evaluating Stochastic Rankings with Expected Exposure","date":"2020-04-27","arxiv_id":"2004.13157","repositories_listed":0,"syntology":null},{"url":null,"slug":"facial-electromyography-based-adaptive","title":"Facial Electromyography-based Adaptive Virtual Reality Gaming for Cognitive Training","date":"2020-04-27","arxiv_id":"2005.05023","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-translation-memory-matching-and","title":"Intelligent Translation Memory Matching and Retrieval with Sentence Encoders","date":"2020-04-27","arxiv_id":"2004.12894","repositories_listed":0,"syntology":null},{"url":null,"slug":"challenge-closed-book-science-exam-a-meta","title":"Challenge Closed-book Science Exam: A Meta-learning Based Question Answering System","date":"2020-04-26","arxiv_id":"2004.12303","repositories_listed":0,"syntology":null},{"url":null,"slug":"choppy-cut-transformer-for-ranked-list","title":"Choppy: Cut Transformer For Ranked List Truncation","date":"2020-04-26","arxiv_id":"2004.13012","repositories_listed":0,"syntology":null},{"url":null,"slug":"methods-for-computing-legal-document","title":"Methods for Computing Legal Document Similarity: A Comparative Study","date":"2020-04-26","arxiv_id":"2004.12307","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-linguistically-driven-framework-for-query","title":"A Linguistically Driven Framework for Query Expansion via Grammatical Constituent Highlighting and Role-Based Concept Weighting","date":"2020-04-25","arxiv_id":"2004.13481","repositories_listed":0,"syntology":null},{"url":null,"slug":"pf-cpgan-profile-to-frontal-coupled-gan-for","title":"PF-cpGAN: Profile to Frontal Coupled GAN for Face Recognition in the Wild","date":"2020-04-25","arxiv_id":"2005.02166","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-term-discrimination","title":"Learning Term Discrimination","date":"2020-04-24","arxiv_id":"2004.11759","repositories_listed":0,"syntology":null},{"url":null,"slug":"question-answering-over-curated-and-open-web","title":"Question Answering over Curated and Open Web Sources","date":"2020-04-24","arxiv_id":"2004.11980","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcing-short-length-hashing","title":"Reinforcing Short-Length Hashing","date":"2020-04-24","arxiv_id":"2004.11511","repositories_listed":0,"syntology":null},{"url":null,"slug":"coupled-intrinsic-and-extrinsic-human","title":"Coupled intrinsic and extrinsic human language resource-based query expansion","date":"2020-04-23","arxiv_id":"2004.11083","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-classification-with-noisy","title":"Deep Learning Classification With Noisy Labels","date":"2020-04-23","arxiv_id":"2004.11116","repositories_listed":0,"syntology":null},{"url":null,"slug":"distilling-knowledge-for-fast-retrieval-based","title":"Distilling Knowledge for Fast Retrieval-based Chat-bots","date":"2020-04-23","arxiv_id":"2004.11045","repositories_listed":0,"syntology":null},{"url":null,"slug":"doubly-stochastic-mining-for-heterogeneous","title":"Doubly-stochastic mining for heterogeneous retrieval","date":"2020-04-23","arxiv_id":"2004.10915","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-technology-and-query","title":"Natural language technology and query expansion: issues, state-of-the-art and perspectives","date":"2020-04-23","arxiv_id":"2004.11093","repositories_listed":0,"syntology":null},{"url":null,"slug":"tcnn-triple-convolutional-neural-network","title":"TCNN: Triple Convolutional Neural Network Models for Retrieval-based Question Answering System in E-commerce","date":"2020-04-23","arxiv_id":"2004.10919","repositories_listed":0,"syntology":null},{"url":null,"slug":"upgrading-the-newsroom-an-automated-image","title":"Upgrading the Newsroom: An Automated Image Selection System for News Articles","date":"2020-04-23","arxiv_id":"2004.11449","repositories_listed":0,"syntology":null},{"url":null,"slug":"diagram-image-retrieval-using-sketch-based","title":"Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning","date":"2020-04-22","arxiv_id":"2004.10780","repositories_listed":0,"syntology":null},{"url":null,"slug":"image-retrieval-using-multi-scale-cnn","title":"Image Retrieval using Multi-scale CNN Features Pooling","date":"2020-04-21","arxiv_id":"2004.09695","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-cognitive-search-patterns-to","title":"Leveraging Cognitive Search Patterns to Enhance Automated Natural Language Retrieval Performance","date":"2020-04-21","arxiv_id":"2004.10035","repositories_listed":0,"syntology":null},{"url":null,"slug":"paracnn-visual-paragraph-generation-via","title":"ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs","date":"2020-04-21","arxiv_id":"2004.10258","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepsdf-x-sim-3-extending-deepsdf-for","title":"Extending DeepSDF for automatic 3D shape retrieval and similarity transform estimation","date":"2020-04-20","arxiv_id":"2004.09048","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-embedding-expansion-for-vehicle-re","title":"Dual Embedding Expansion for Vehicle Re-identification","date":"2020-04-18","arxiv_id":"2004.08665","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-effect-of-the-multi-layer-text","title":"The Effect of the Multi-Layer Text Summarization Model on the Efficiency and Relevancy of the Vector Space-based Information Retrieval","date":"2020-04-18","arxiv_id":"2004.13136","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-approach-based-on-combination-of-features","title":"An approach based on Combination of Features for automatic news retrieval","date":"2020-04-16","arxiv_id":"2004.11699","repositories_listed":0,"syntology":null},{"url":null,"slug":"distributed-evolution-of-deep-autoencoders","title":"Distributed Evolution of Deep Autoencoders","date":"2020-04-16","arxiv_id":"2004.07607","repositories_listed":0,"syntology":null},{"url":null,"slug":"multiple-visual-semantic-embedding-for-video","title":"Multiple Visual-Semantic Embedding for Video Retrieval from Query Sentence","date":"2020-04-16","arxiv_id":"2004.07967","repositories_listed":0,"syntology":null},{"url":null,"slug":"musical-features-for-automatic-music","title":"Musical Features for Automatic Music Transcription Evaluation","date":"2020-04-15","arxiv_id":"2004.07171","repositories_listed":0,"syntology":null},{"url":null,"slug":"extending-text-informativeness-measures-to","title":"Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)","date":"2020-04-14","arxiv_id":"2004.06747","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-interplay-between-physical-and-content","title":"On the interplay between physical and content priors in deep learning for computational imaging","date":"2020-04-14","arxiv_id":"2004.06355","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-feature-learning-by-cross","title":"Self-supervised Feature Learning by Cross-modality and Cross-view Correspondences","date":"2020-04-13","arxiv_id":"2004.05749","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-spatial-relationships-between","title":"Learning Spatial Relationships between Samples of Patent Image Shapes","date":"2020-04-12","arxiv_id":"2004.05713","repositories_listed":0,"syntology":null},{"url":null,"slug":"generic-error-bounds-for-the-generalized","title":"Generic Error Bounds for the Generalized Lasso with Sub-Exponential Data","date":"2020-04-11","arxiv_id":"2004.05361","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-world-person-re-identification-via","title":"Real-world Person Re-Identification via Degradation Invariance Learning","date":"2020-04-10","arxiv_id":"2004.04933","repositories_listed":0,"syntology":null},{"url":null,"slug":"stacked-convolutional-deep-encoding-network","title":"Stacked Convolutional Deep Encoding Network for Video-Text Retrieval","date":"2020-04-10","arxiv_id":"2004.04959","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-automatic-generation-of-questions","title":"Towards Automatic Generation of Questions from Long Answers","date":"2020-04-10","arxiv_id":"2004.05109","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-scale-multilingual","title":"Learning to Scale Multilingual Representations for Vision-Language Tasks","date":"2020-04-09","arxiv_id":"2004.04312","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-for-improvements-of-singing-voice","title":"Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music","date":"2020-04-08","arxiv_id":"2004.04040","repositories_listed":0,"syntology":null},{"url":"/paper/learning-3d-semantic-scene-graphs-from-3d","slug":"learning-3d-semantic-scene-graphs-from-3d","title":"Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions","date":"2020-04-08","arxiv_id":"2004.03967","repositories_listed":0,"syntology":null},{"url":null,"slug":"csrn-collaborative-sequential-recommendation","title":"CSRN: Collaborative Sequential Recommendation Networks for News Retrieval","date":"2020-04-07","arxiv_id":"2004.04816","repositories_listed":0,"syntology":null},{"url":null,"slug":"entity-linking-via-dual-and-cross-attention","title":"Entity Linking via Dual and Cross-Attention Encoders","date":"2020-04-07","arxiv_id":"2004.03555","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-fusion-and-semantic-knowledge","title":"Knowledge Fusion and Semantic Knowledge Ranking for Open Domain Question Answering","date":"2020-04-07","arxiv_id":"2004.03101","repositories_listed":0,"syntology":null},{"url":"/paper/grayscale-data-construction-and-multi-level","slug":"grayscale-data-construction-and-multi-level","title":"The World is Not Binary: Learning to Rank with Grayscale Data for Dialogue Response Selection","date":"2020-04-06","arxiv_id":"2004.02421","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-metric-detection-and-alerting-system","title":"Moving Metric Detection and Alerting System at eBay","date":"2020-04-06","arxiv_id":"2004.02360","repositories_listed":0,"syntology":null},{"url":null,"slug":"query-focused-multi-document-summarization-3","title":"Query Focused Multi-Document Summarization with Distant Supervision","date":"2020-04-06","arxiv_id":"2004.03027","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-processing-for-word-sense","title":"Natural language processing for word sense disambiguation and information extraction","date":"2020-04-05","arxiv_id":"2004.02256","repositories_listed":0,"syntology":null},{"url":null,"slug":"prototype-to-style-dialogue-generation-with","title":"Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory","date":"2020-04-05","arxiv_id":"2004.02214","repositories_listed":0,"syntology":null},{"url":null,"slug":"none-of-the-above-measure-uncertainty-in","title":"\"None of the Above\":Measure Uncertainty in Dialog Response Retrieval","date":"2020-04-04","arxiv_id":"2004.01926","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-image-search-and-retrieval","title":"Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives","date":"2020-04-03","arxiv_id":"2004.01613","repositories_listed":0,"syntology":null},{"url":null,"slug":"error-corrected-margin-based-deep-cross-modal","title":"Error-Corrected Margin-Based Deep Cross-Modal Hashing for Facial Image Retrieval","date":"2020-04-03","arxiv_id":"2004.03378","repositories_listed":0,"syntology":null},{"url":null,"slug":"mcen-bridging-cross-modal-gap-between-cooking","title":"MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model","date":"2020-04-02","arxiv_id":"2004.01095","repositories_listed":0,"syntology":null},{"url":null,"slug":"dstc8-avsd-multimodal-semantic-transformer","title":"DSTC8-AVSD: Multimodal Semantic Transformer Network with Retrieval Style Word Generator","date":"2020-04-01","arxiv_id":"2004.08299","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-semantic-granularity-on-geographic","title":"Impact of Semantic Granularity on Geographic Information Search Support","date":"2020-04-01","arxiv_id":"2004.00293","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-stationary-power-system-forced","title":"Non-Stationary Power System Forced Oscillation Analysis using Synchrosqueezing Transform","date":"2020-04-01","arxiv_id":"2004.00595","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-adaptive-asymmetric-deep-cross-modal","title":"Task-adaptive Asymmetric Deep Cross-modal Hashing","date":"2020-04-01","arxiv_id":"2004.00197","repositories_listed":0,"syntology":null},{"url":null,"slug":"fashion-meets-computer-vision-a-survey","title":"Fashion Meets Computer Vision: A Survey","date":"2020-03-31","arxiv_id":"2003.13988","repositories_listed":0,"syntology":null},{"url":null,"slug":"studying-the-effect-of-digital-stain","title":"Studying the Effect of Digital Stain Separation of Histopathology Images on Image Search Performance","date":"2020-03-31","arxiv_id":"2003.14303","repositories_listed":0,"syntology":null},{"url":null,"slug":"ariel-volume-coding-for-sentence-generation","title":"AriEL: volume coding for sentence generation","date":"2020-03-30","arxiv_id":"2003.13600","repositories_listed":0,"syntology":null},{"url":null,"slug":"concept-aware-geographic-information","title":"Concept-aware Geographic Information Retrieval","date":"2020-03-30","arxiv_id":"2003.13481","repositories_listed":0,"syntology":null},{"url":"/paper/interbert-vision-and-language-interaction-for","slug":"interbert-vision-and-language-interaction-for","title":"InterBERT: Vision-and-Language Interaction for Multi-modal Pretraining","date":"2020-03-30","arxiv_id":"2003.13198","repositories_listed":0,"syntology":null},{"url":null,"slug":"single-pixel-coherent-diffraction-imaging","title":"Single-pixel coherent diffraction imaging","date":"2020-03-30","arxiv_id":"2003.14237","repositories_listed":0,"syntology":null},{"url":null,"slug":"topological-data-analysis-in-text","title":"Topological Data Analysis in Text Classification: Extracting Features with Additive Information","date":"2020-03-29","arxiv_id":"2003.13138","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-cross-modal-audio-representation","title":"Unsupervised Cross-Modal Audio Representation Learning from Unstructured Multilingual Text","date":"2020-03-27","arxiv_id":"2003.12265","repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-deep-aggregation-for-set-retrieval","title":"Compact Deep Aggregation for Set Retrieval","date":"2020-03-26","arxiv_id":"2003.11794","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-information-retrieval-from-identity","title":"Real-time information retrieval from Identity cards","date":"2020-03-26","arxiv_id":"2003.12103","repositories_listed":0,"syntology":null},{"url":null,"slug":"overview-of-the-trec-2019-fair-ranking-track","title":"Overview of the TREC 2019 Fair Ranking Track","date":"2020-03-25","arxiv_id":"2003.11650","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-classification-for-the-performance-of","title":"Online stochastic gradient descent on non-convex losses from high-dimensional inference","date":"2020-03-23","arxiv_id":"2003.10409","repositories_listed":0,"syntology":null},{"url":null,"slug":"broad-area-search-and-detection-of-surface-to","title":"Broad Area Search and Detection of Surface-to-Air Missile Sites Using Spatial Fusion of Component Object Detections from Deep Neural Networks","date":"2020-03-23","arxiv_id":"2003.10566","repositories_listed":0,"syntology":null},{"url":null,"slug":"progressive-domain-independent-feature","title":"Progressive Domain-Independent Feature Decomposition Network for Zero-Shot Sketch-Based Image Retrieval","date":"2020-03-22","arxiv_id":"2003.09869","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-joint-approach-to-compound-splitting-and","title":"A Joint Approach to Compound Splitting and Idiomatic Compound Detection","date":"2020-03-21","arxiv_id":"2003.09606","repositories_listed":0,"syntology":null},{"url":null,"slug":"prob2vec-mathematical-semantic-embedding-for-1","title":"Prob2Vec: Mathematical Semantic Embedding for Problem Retrieval in Adaptive Tutoring","date":"2020-03-21","arxiv_id":"2003.10838","repositories_listed":0,"syntology":null},{"url":null,"slug":"dmv-visual-object-tracking-via-part-level","title":"DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval","date":"2020-03-20","arxiv_id":"2003.09171","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-inherent-properties-of-the","title":"Exploring Inherent Properties of the Monophonic Melody of Songs","date":"2020-03-20","arxiv_id":"2003.09287","repositories_listed":0,"syntology":null},{"url":null,"slug":"inverse-problems-deep-learning-and-symmetry","title":"Inverse Problems, Deep Learning, and Symmetry Breaking","date":"2020-03-20","arxiv_id":"2003.09077","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-convolutional-embedding-for-digitized","title":"Deep convolutional embedding for digitized painting clustering","date":"2020-03-19","arxiv_id":"2003.08597","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-event-extraction-along-shortest","title":"Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks","date":"2020-03-19","arxiv_id":"2003.08615","repositories_listed":0,"syntology":null},{"url":null,"slug":"visual-link-retrieval-and-knowledge-discovery","title":"Visual link retrieval and knowledge discovery in painting datasets","date":"2020-03-18","arxiv_id":"2003.08476","repositories_listed":0,"syntology":null},{"url":null,"slug":"lensless-hyperspectral-imaging-by-fourier","title":"Lensless hyperspectral imaging by Fourier transform spectroscopy for broadband visible light: phase retrieval technique","date":"2020-03-16","arxiv_id":"2002.10886","repositories_listed":0,"syntology":null},{"url":null,"slug":"u-net-cnn-based-fourier-ptychography","title":"u-net CNN based fourier ptychography","date":"2020-03-16","arxiv_id":"2003.07460","repositories_listed":0,"syntology":null},{"url":"/paper/text-based-person-search-via-attribute-aided","slug":"text-based-person-search-via-attribute-aided","title":"Text-based Person Search via Attribute-aided Matching","date":"2020-03-14","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cps-class-level-6d-pose-and-shape-estimation","title":"CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning","date":"2020-03-12","arxiv_id":"2003.05848","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-cnn-based-patent-image-retrieval-method-for","title":"A Convolutional Neural Network-based Patent Image Retrieval Method for Design Ideation","date":"2020-03-10","arxiv_id":"2003.08741","repositories_listed":0,"syntology":null},{"url":"/paper/cross-modal-food-retrieval-learning-a-joint","slug":"cross-modal-food-retrieval-learning-a-joint","title":"Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism","date":"2020-03-09","arxiv_id":"2003.03955","repositories_listed":0,"syntology":null},{"url":null,"slug":"upr-a-model-driven-architecture-for-deep","title":"UPR: A Model-Driven Architecture for Deep Phase Retrieval","date":"2020-03-09","arxiv_id":"2003.04396","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-semantic-visual-tree-for","title":"Adaptive Semantic-Visual Tree for Hierarchical Embeddings","date":"2020-03-08","arxiv_id":"2003.03707","repositories_listed":0,"syntology":null},{"url":null,"slug":"annotation-free-learning-of-deep","title":"Annotation-free Learning of Deep Representations for Word Spotting using Synthetic Data and Self Labeling","date":"2020-03-04","arxiv_id":"2003.01989","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-hash-with-graph-neural-networks","title":"Learning to Hash with Graph Neural Networks for Recommender Systems","date":"2020-03-04","arxiv_id":"2003.01917","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-generative-retrieval-transformers-for","title":"Hybrid Generative-Retrieval Transformers for Dialogue Domain Adaptation","date":"2020-03-03","arxiv_id":"2003.01680","repositories_listed":0,"syntology":null},{"url":null,"slug":"just-slaq-when-you-approximate-accurate","title":"Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs","date":"2020-03-03","arxiv_id":"2003.01282","repositories_listed":0,"syntology":null}],"record_sha256":"b4f7d187aa43c4513d66737159be74130125ef226625a0bfea870e19afa89af5","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}