{"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/108","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":108,"pages_in_order":143,"rows_per_page":100,"rows":[10701,10800],"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/107","next":"/task/retrieval/papers/109","papers":[{"url":null,"slug":"differentially-private-supervised-manifold","title":"PrivateMail: Supervised Manifold Learning of Deep Features With Differential Privacy for Image Retrieval","date":"2021-02-22","arxiv_id":"2102.10802","repositories_listed":0,"syntology":null},{"url":null,"slug":"entities-of-interest","title":"Entities of Interest","date":"2021-02-22","arxiv_id":"2102.10962","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-are-journals-cited-characterizing-journal","title":"How are journals cited? characterizing journal citations by type of citation","date":"2021-02-22","arxiv_id":"2102.11043","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-feature-selection-for-learning-to-rank","title":"Neural Feature Selection for Learning to Rank","date":"2021-02-22","arxiv_id":"2102.11345","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-concept-knowledge-driven-keywords-retrieval","title":"A Concept Knowledge-Driven Keywords Retrieval Framework for Sponsored Search","date":"2021-02-21","arxiv_id":"2102.10560","repositories_listed":0,"syntology":null},{"url":null,"slug":"probabilistic-vehicle-reconstruction-using-a","title":"Probabilistic Vehicle Reconstruction Using a Multi-Task CNN","date":"2021-02-21","arxiv_id":"2102.10681","repositories_listed":0,"syntology":null},{"url":null,"slug":"emds-5-environmental-microorganism-image","title":"EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks","date":"2021-02-20","arxiv_id":"2102.10370","repositories_listed":0,"syntology":null},{"url":null,"slug":"back-to-prior-knowledge-joint-event-causality","title":"Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion","date":"2021-02-19","arxiv_id":"2102.09923","repositories_listed":0,"syntology":null},{"url":null,"slug":"clarification-of-video-retrieval-query","title":"Clarification of Video Retrieval Query Results by the Automated Insertion of Supporting Shots","date":"2021-02-19","arxiv_id":"2102.10162","repositories_listed":0,"syntology":null},{"url":null,"slug":"kbcnmujal-hasoc-dravidian-codemix-fire2020","title":"KBCNMUJAL@HASOC-Dravidian-CodeMix-FIRE2020: Using Machine Learning for Detection of Hate Speech and Offensive Code-Mixed Social Media text","date":"2021-02-19","arxiv_id":"2102.09866","repositories_listed":0,"syntology":null},{"url":"/paper/re-rank-coarse-classification-with-local","slug":"re-rank-coarse-classification-with-local","title":"Re-rank Coarse Classification with Local Region Enhanced Features for Fine-Grained Image Recognition","date":"2021-02-19","arxiv_id":"2102.09875","repositories_listed":0,"syntology":null},{"url":null,"slug":"robust-pdf-document-conversion-using","title":"Robust PDF Document Conversion Using Recurrent Neural Networks","date":"2021-02-18","arxiv_id":"2102.09395","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-and-creating-art-with-ai-review","title":"Understanding and Creating Art with AI: Review and Outlook","date":"2021-02-18","arxiv_id":"2102.09109","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-bayesian-approach-for-the-two","title":"A Novel Bayesian Approach for the Two-Dimensional Harmonic Retrieval Problem","date":"2021-02-17","arxiv_id":"2102.08515","repositories_listed":0,"syntology":null},{"url":null,"slug":"i-want-this-product-but-different-multimodal","title":"I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion","date":"2021-02-17","arxiv_id":"2102.08871","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-query-resolution-and-reading","title":"Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval","date":"2021-02-17","arxiv_id":"2102.08795","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-ranking-using-optimum-path-forest","title":"Information Ranking Using Optimum-Path Forest","date":"2021-02-16","arxiv_id":"2102.07917","repositories_listed":0,"syntology":null},{"url":null,"slug":"colored-kimia-path24-dataset-configurations","title":"Colored Kimia Path24 Dataset: Configurations and Benchmarks with Deep Embeddings","date":"2021-02-15","arxiv_id":"2102.07611","repositories_listed":0,"syntology":null},{"url":null,"slug":"supporting-search-engines-with-knowledge-and","title":"Supporting search engines with knowledge and context","date":"2021-02-12","arxiv_id":"2102.06762","repositories_listed":0,"syntology":null},{"url":null,"slug":"deepf0-end-to-end-fundamental-frequency","title":"DEEPF0: End-To-End Fundamental Frequency Estimation for Music and Speech Signals","date":"2021-02-11","arxiv_id":"2102.06306","repositories_listed":0,"syntology":null},{"url":null,"slug":"biomedical-question-answering-a-comprehensive","title":"Biomedical Question Answering: A Survey of Approaches and Challenges","date":"2021-02-10","arxiv_id":"2102.05281","repositories_listed":0,"syntology":null},{"url":null,"slug":"content-placement-in-networks-of-similarity","title":"Content Placement in Networks of Similarity Caches","date":"2021-02-09","arxiv_id":"2102.04974","repositories_listed":0,"syntology":null},{"url":null,"slug":"fashion-focus-multi-modal-retrieval-system","title":"Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce","date":"2021-02-09","arxiv_id":"2102.04727","repositories_listed":0,"syntology":null},{"url":null,"slug":"newsbert-distilling-pre-trained-language","title":"NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application","date":"2021-02-09","arxiv_id":"2102.04887","repositories_listed":0,"syntology":null},{"url":null,"slug":"telling-the-what-while-pointing-the-where","title":"Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval","date":"2021-02-09","arxiv_id":"2102.04980","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-efficient-framework-for-zero-shot-sketch","title":"An Efficient Framework for Zero-Shot Sketch-Based Image Retrieval","date":"2021-02-08","arxiv_id":"2102.04016","repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-the-affective-aware-pseudo","title":"Applying the Affective Aware Pseudo Association Method to Enhance the Top-N Recommendations Distribution to Users in Group Emotion Recommender Systems","date":"2021-02-08","arxiv_id":"2102.04447","repositories_listed":0,"syntology":null},{"url":null,"slug":"entanglement-in-cognition-violating-bell","title":"Entanglement in Cognition violating Bell Inequalities Beyond Cirel'son's Bound","date":"2021-02-07","arxiv_id":"2102.03847","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-augmented-sequential-paragraph","title":"Memory Augmented Sequential Paragraph Retrieval for Multi-hop Question Answering","date":"2021-02-07","arxiv_id":"2102.03741","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-collaborative-visual-slam-framework-for","title":"A Collaborative Visual SLAM Framework for Service Robots","date":"2021-02-05","arxiv_id":"2102.03228","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-audio-visual-correlations-from","title":"Learning Audio-Visual Correlations from Variational Cross-Modal Generation","date":"2021-02-05","arxiv_id":"2102.03424","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-face-fuzzy-vault-implementation-and","title":"Deep Face Fuzzy Vault: Implementation and Performance","date":"2021-02-04","arxiv_id":"2102.02458","repositories_listed":0,"syntology":null},{"url":null,"slug":"high-rate-quantum-private-information","title":"High-Rate Quantum Private Information Retrieval with Weakly Self-Dual Star Product Codes","date":"2021-02-04","arxiv_id":"2102.02511","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-size-does-not-fit-all-finding-the-optimal","title":"One Size Does Not Fit All: Finding the Optimal Subword Sizes for FastText Models across Languages","date":"2021-02-04","arxiv_id":"2102.02585","repositories_listed":0,"syntology":null},{"url":null,"slug":"comprehensive-study-on-denoising-of-medical","title":"Comprehensive Study on Denoising of Medical Images Utilizing Neural Network Based Auto-Encoder","date":"2021-02-03","arxiv_id":"2102.01903","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-design-of-cache-aided-multiuser-private","title":"A New Design of Cache-aided Multiuser Private Information Retrieval with Uncoded Prefetching","date":"2021-02-02","arxiv_id":"2102.01643","repositories_listed":0,"syntology":null},{"url":null,"slug":"private-linear-transformation-the-joint","title":"Private Linear Transformation: The Joint Privacy Case","date":"2021-02-02","arxiv_id":"2102.01665","repositories_listed":0,"syntology":null},{"url":null,"slug":"rank-consistency-deep-hashing-for-scalable","title":"Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search","date":"2021-02-02","arxiv_id":"2102.01486","repositories_listed":0,"syntology":null},{"url":null,"slug":"rescuing-deep-hashing-from-dead-bits-problem","title":"Rescuing Deep Hashing from Dead Bits Problem","date":"2021-02-01","arxiv_id":"2102.00648","repositories_listed":0,"syntology":null},{"url":null,"slug":"revamp-enhancing-accessible-information","title":"Revamp: Enhancing Accessible Information Seeking Experience of Online Shopping for Blind or Low Vision Users","date":"2021-02-01","arxiv_id":"2102.00576","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-accountability-in-recommender","title":"Improving Accountability in Recommender Systems Research Through Reproducibility","date":"2021-01-31","arxiv_id":"2102.00482","repositories_listed":0,"syntology":null},{"url":null,"slug":"structure-aware-audio-to-score-alignment","title":"Structure-Aware Audio-to-Score Alignment using Progressively Dilated Convolutional Neural Networks","date":"2021-01-31","arxiv_id":"2102.00382","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-regret-caching-via-online-mirror-descent","title":"No-Regret Caching via Online Mirror Descent","date":"2021-01-29","arxiv_id":"2101.12588","repositories_listed":0,"syntology":null},{"url":null,"slug":"subgraph-nomination-query-by-example-subgraph","title":"Subgraph nomination: Query by Example Subgraph Retrieval in Networks","date":"2021-01-29","arxiv_id":"2101.12430","repositories_listed":0,"syntology":null},{"url":null,"slug":"bertau-itau-bert-for-digital-customer-service","title":"BERTaú: Itaú BERT for digital customer service","date":"2021-01-28","arxiv_id":"2101.12015","repositories_listed":0,"syntology":null},{"url":null,"slug":"doc2ppt-automatic-presentation-slides","title":"DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents","date":"2021-01-28","arxiv_id":"2101.11796","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-image-retrieval-a-survey","title":"Deep Learning for Instance Retrieval: A Survey","date":"2021-01-27","arxiv_id":"2101.11282","repositories_listed":0,"syntology":null},{"url":null,"slug":"regulatory-compliance-through-doc2doc","title":"Regulatory Compliance through Doc2Doc Information Retrieval: A case study in EU/UK legislation where text similarity has limitations","date":"2021-01-26","arxiv_id":"2101.10726","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-two-stage-framework-for-compound-figure","title":"A Two-stage Framework for Compound Figure Separation","date":"2021-01-25","arxiv_id":"2101.09903","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-knowledge-based-generative-zero-shot","title":"Cross Knowledge-based Generative Zero-Shot Learning Approach with Taxonomy Regularization","date":"2021-01-25","arxiv_id":"2101.09892","repositories_listed":0,"syntology":null},{"url":null,"slug":"novel-recording-studio-features-for-music","title":"Novel Recording Studio Features for Music Information Retrieval","date":"2021-01-25","arxiv_id":"2101.10201","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-review-of-speaker-diarization-recent","title":"A Review of Speaker Diarization: Recent Advances with Deep Learning","date":"2021-01-24","arxiv_id":"2101.09624","repositories_listed":0,"syntology":null},{"url":null,"slug":"episodic-memory-governs-choices-an-rnn-based","title":"Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task","date":"2021-01-24","arxiv_id":"2103.03679","repositories_listed":0,"syntology":null},{"url":null,"slug":"medical-information-retrieval-and","title":"Medical Information Retrieval and Interpretation: A Question-Answer based Interaction Model","date":"2021-01-24","arxiv_id":"2101.09662","repositories_listed":0,"syntology":null},{"url":null,"slug":"advances-and-challenges-in-conversational","title":"Advances and Challenges in Conversational Recommender Systems: A Survey","date":"2021-01-23","arxiv_id":"2101.09459","repositories_listed":0,"syntology":null},{"url":null,"slug":"impact-of-response-latency-on-user-behaviour","title":"Impact of Response Latency on User Behaviour in Mobile Web Search","date":"2021-01-22","arxiv_id":"2101.09086","repositories_listed":0,"syntology":null},{"url":null,"slug":"assessing-the-benefits-of-model-ensembles-in","title":"Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval","date":"2021-01-21","arxiv_id":"2101.08705","repositories_listed":0,"syntology":null},{"url":null,"slug":"geometric-moment-invariants-to-motion-blur","title":"Geometric Moment Invariants to Motion Blur","date":"2021-01-21","arxiv_id":"2101.08647","repositories_listed":0,"syntology":null},{"url":null,"slug":"item-recommendation-from-implicit-feedback","title":"Item Recommendation from Implicit Feedback","date":"2021-01-21","arxiv_id":"2101.08769","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-robust-blockchain-readiness-index-model","title":"A Robust Blockchain Readiness Index Model","date":"2021-01-20","arxiv_id":"2101.09162","repositories_listed":0,"syntology":null},{"url":null,"slug":"unsupervised-content-based-image-retrieval-at","title":"Unsupervised Content based Image Retrieval at Different Precision Level by Combining Multiple Features","date":"2021-01-20","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"explainable-patterns-going-from-findings-to","title":"Q4EDA: A Novel Strategy for Textual Information Retrieval Based on User Interactions with Visual Representations of Time Series","date":"2021-01-19","arxiv_id":"2101.08655","repositories_listed":0,"syntology":null},{"url":null,"slug":"tip-of-the-tongue-known-item-retrieval-a-case","title":"Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification","date":"2021-01-18","arxiv_id":"2101.07124","repositories_listed":0,"syntology":null},{"url":null,"slug":"inductive-representation-learning-in-temporal-1","title":"Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks","date":"2021-01-15","arxiv_id":"2101.05974","repositories_listed":0,"syntology":null},{"url":null,"slug":"recent-advances-in-video-question-answering-a","title":"Recent Advances in Video Question Answering: A Review of Datasets and Methods","date":"2021-01-15","arxiv_id":"2101.05954","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-dimensionality-reduction-for-separable","title":"Joint Dimensionality Reduction for Separable Embedding Estimation","date":"2021-01-14","arxiv_id":"2101.05500","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-3drec-cloud-client-cooperative-deep","title":"$C^3DRec$: Cloud-Client Cooperative Deep Learning for Temporal Recommendation in the Post-GDPR Era","date":"2021-01-13","arxiv_id":"2101.05641","repositories_listed":0,"syntology":null},{"url":null,"slug":"locality-sensitive-hashing-for-efficient","title":"Locality Sensitive Hashing for Efficient Similar Polygon Retrieval","date":"2021-01-12","arxiv_id":"2101.04339","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantum-mathematics-in-artificial","title":"Quantum Mathematics in Artificial Intelligence","date":"2021-01-12","arxiv_id":"2101.04255","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-applications-for-covid-19","title":"Deep Learning applications for COVID-19","date":"2021-01-11","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-vision-transformer-model","title":"Investigating the Vision Transformer Model for Image Retrieval Tasks","date":"2021-01-11","arxiv_id":"2101.03771","repositories_listed":0,"syntology":null},{"url":null,"slug":"automatic-face-understanding-recognizing","title":"Automatic Face Understanding: Recognizing Families in Photos","date":"2021-01-10","arxiv_id":"2102.08941","repositories_listed":0,"syntology":null},{"url":null,"slug":"unifying-relational-sentence-generation-and","title":"Unifying Relational Sentence Generation and Retrieval for Medical Image Report Composition","date":"2021-01-09","arxiv_id":"2101.03287","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-word-sense-disambiguation-approach","title":"A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph","date":"2021-01-08","arxiv_id":"2101.02875","repositories_listed":0,"syntology":null},{"url":null,"slug":"applying-transfer-learning-for-improving","title":"Applying Transfer Learning for Improving Domain-Specific Search Experience Using Query to Question Similarity","date":"2021-01-07","arxiv_id":"2101.02351","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-storage-a-new-paradigm-of-elastic","title":"Neural Storage: A New Paradigm of Elastic Memory","date":"2021-01-07","arxiv_id":"2101.02729","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-of-coloured-dissolved-organic","title":"Retrieval of Coloured Dissolved Organic Matter with Machine Learning Methods","date":"2021-01-07","arxiv_id":"2101.02505","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-efficacy-of-music-version","title":"Investigating the efficacy of music version retrieval systems for setlist identification","date":"2021-01-06","arxiv_id":"2101.02098","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparison-of-the-effects-of-investor","title":"Comparison of the effects of investor attention using search volume data before and after mobile device popularization","date":"2021-01-05","arxiv_id":"2101.03239","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-pluggable-learned-index-method-via-sampling","title":"A Pluggable Learned Index Method via Sampling and Gap Insertion","date":"2021-01-04","arxiv_id":"2101.00808","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-contrastive-graph-for-self","title":"Temporal Contrastive Graph Learning for Video Action Recognition and Retrieval","date":"2021-01-04","arxiv_id":"2101.00820","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-benchmark-for-voice-face-cross-modal","title":"A Benchmark for Voice-Face Cross-Modal Matching and Retrieval","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"a-truly-constant-time-distribution-aware","title":"A Truly Constant-time Distribution-aware Negative Sampling","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adversarial-attack-on-deep-cross-modal","title":"Adversarial Attack on Deep Cross-Modal Hamming Retrieval","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-exploration-of-open-set","title":"An Empirical Exploration of Open-Set Recognition via Lightweight Statistical Pipelines","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"ariel-volume-coding-for-sentence-generation-1","title":"AriEL: Volume Coding for Sentence Generation Comparisons","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"audio-content-analysis","title":"Audio Content Analysis","date":"2021-01-01","arxiv_id":"2101.00132","repositories_listed":0,"syntology":null},{"url":null,"slug":"canvasemb-learning-layout-representation-with","title":"CANVASEMB: Learning Layout Representation with Large-scale Pre-training for Graphic Design","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-probe-bert-for-efficient-and-effective","title":"Cross-Probe BERT for Efficient and Effective Cross-Modal Search","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"face-image-retrieval-with-attribute","title":"Face Image Retrieval With Attribute Manipulation","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"fast-video-moment-retrieval","title":"Fast Video Moment Retrieval","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"grounding-physical-object-and-event-concepts","title":"Grounding Physical Object and Event Concepts Through Dynamic Visual Reasoning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"iptr-learning-a-representation-for","title":"iPTR: Learning a representation for interactive program translation retrieval","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-representations-by-contrasting","title":"Learning Representations by Contrasting Clusters While Bootstrapping Instances","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-semantic-similarities-for","title":"Learning Semantic Similarities for Prototypical Classifiers","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-task-retrieval-for-knowledge-intensive","title":"Multi-task Retrieval for Knowledge-Intensive Tasks","date":"2021-01-01","arxiv_id":"2101.00117","repositories_listed":0,"syntology":null},{"url":null,"slug":"neurips-2020-efficientqa-competition-systems","title":"NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned","date":"2021-01-01","arxiv_id":"2101.00133","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-inherent-feature-compatible-learning","title":"Non-Inherent Feature Compatible Learning","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"normalized-human-pose-features-for-human","title":"Normalized Human Pose Features for Human Action Video Alignment","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"practical-phase-retrieval-low-photon","title":"Practical Phase Retrieval: Low-Photon Holography with Untrained Priors","date":"2021-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null}],"record_sha256":"5a8aca16ad5c9c52e54adee8b94d550077966d634a06064f98233d61fe7f8fcb","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}