{"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/93","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":93,"pages_in_order":143,"rows_per_page":100,"rows":[9201,9300],"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/92","next":"/task/retrieval/papers/94","papers":[{"url":null,"slug":"visually-similar-products-retrieval-for","title":"Visually Similar Products Retrieval for Shopsy","date":"2022-10-10","arxiv_id":"2210.04560","repositories_listed":0,"syntology":null},{"url":null,"slug":"coophash-cooperative-learning-of-multipurpose","title":"CoopHash: Cooperative Learning of Multipurpose Descriptor and Contrastive Pair Generator via Variational MCMC Teaching for Supervised Image Hashing","date":"2022-10-09","arxiv_id":"2210.04288","repositories_listed":0,"syntology":null},{"url":null,"slug":"from-counter-intuitive-observations-to-a","title":"Take a Fresh Look at Recommender Systems from an Evaluation Standpoint","date":"2022-10-09","arxiv_id":"2210.04149","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-decompose-visual-features-with","title":"Learning to Decompose Visual Features with Latent Textual Prompts","date":"2022-10-09","arxiv_id":"2210.04287","repositories_listed":0,"syntology":null},{"url":null,"slug":"mamo-masked-multimodal-modeling-for-fine","title":"MAMO: Masked Multimodal Modeling for Fine-Grained Vision-Language Representation Learning","date":"2022-10-09","arxiv_id":"2210.04183","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-objective-personalized-product","title":"Multi-Objective Personalized Product Retrieval in Taobao Search","date":"2022-10-09","arxiv_id":"2210.04170","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-vectors-for-top-k-document-retrieval","title":"Enhanced vectors for top-k document retrieval in Question Answering","date":"2022-10-08","arxiv_id":"2210.10584","repositories_listed":0,"syntology":null},{"url":null,"slug":"understanding-html-with-large-language-models","title":"Understanding HTML with Large Language Models","date":"2022-10-08","arxiv_id":"2210.03945","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-embed-semantic-similarity-for","title":"Learning to embed semantic similarity for joint image-text retrieval","date":"2022-10-07","arxiv_id":"2210.03838","repositories_listed":0,"syntology":null},{"url":null,"slug":"specialized-re-ranking-a-novel-retrieval","title":"Specialized Re-Ranking: A Novel Retrieval-Verification Framework for Cloth Changing Person Re-Identification","date":"2022-10-07","arxiv_id":"2210.03592","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalization-properties-of-retrieval-based","title":"Generalization Properties of Retrieval-based Models","date":"2022-10-06","arxiv_id":"2210.02617","repositories_listed":0,"syntology":null},{"url":null,"slug":"matching-text-and-audio-embeddings-exploring","title":"Matching Text and Audio Embeddings: Exploring Transfer-learning Strategies for Language-based Audio Retrieval","date":"2022-10-06","arxiv_id":"2210.02833","repositories_listed":0,"syntology":null},{"url":null,"slug":"murag-multimodal-retrieval-augmented","title":"MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text","date":"2022-10-06","arxiv_id":"2210.02928","repositories_listed":0,"syntology":null},{"url":null,"slug":"predictive-edge-caching-through-deep-mining","title":"Predictive Edge Caching through Deep Mining of Sequential Patterns in User Content Retrievals","date":"2022-10-06","arxiv_id":"2210.02657","repositories_listed":0,"syntology":null},{"url":null,"slug":"granularity-aware-adaptation-for-image","title":"Granularity-aware Adaptation for Image Retrieval over Multiple Tasks","date":"2022-10-05","arxiv_id":"2210.02254","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-framework-for-web-services-retrieval-using","title":"A Framework for Web Services Retrieval Using Bio Inspired Clustering","date":"2022-10-04","arxiv_id":"2210.01761","repositories_listed":0,"syntology":null},{"url":null,"slug":"detect-retrieve-comprehend-a-flexible","title":"Detect, Retrieve, Comprehend: A Flexible Framework for Zero-Shot Document-Level Question Answering","date":"2022-10-04","arxiv_id":"2210.01959","repositories_listed":0,"syntology":null},{"url":null,"slug":"thinksum-probabilistic-reasoning-over-sets","title":"ThinkSum: Probabilistic reasoning over sets using large language models","date":"2022-10-04","arxiv_id":"2210.01293","repositories_listed":0,"syntology":null},{"url":null,"slug":"complexity-based-prompting-for-multi-step","title":"Complexity-Based Prompting for Multi-Step Reasoning","date":"2022-10-03","arxiv_id":"2210.00720","repositories_listed":0,"syntology":null},{"url":null,"slug":"loc-vae-learning-structurally-localized","title":"Loc-VAE: Learning Structurally Localized Representation from 3D Brain MR Images for Content-Based Image Retrieval","date":"2022-10-02","arxiv_id":"2210.00506","repositories_listed":0,"syntology":null},{"url":null,"slug":"augmentation-retrieval-generation-event","title":"Augmentation, Retrieval, Generation: Event Sequence Prediction with a Three-Stage Sequence-to-Sequence Approach","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"dense-template-retrieval-for-customer-support","title":"Dense Template Retrieval for Customer Support","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-multilingual-multi-modal-pre","title":"Efficient Multilingual Multi-modal Pre-training through Triple Contrastive Loss","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"event-extraction-in-video-transcripts","title":"Event Extraction in Video Transcripts","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"keyword-based-natural-language-premise","title":"Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"label-smoothing-for-text-mining","title":"Label Smoothing for Text Mining","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mitigating-data-shift-of-biomedical-research","title":"Mitigating Data Shift of Biomedical Research Articles for Information Retrieval and Semantic Indexing","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"overview-of-the-third-workshop-on-scholarly","title":"Overview of the Third Workshop on Scholarly Document Processing","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"qualiassistant-extracting-qualia-structures","title":"QualiAssistant: Extracting Qualia Structures from Texts","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"reciprocal-learning-of-knowledge-retriever","title":"Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-content-prediction-for-generating","title":"Semantic Content Prediction for Generating Interviewing Dialogues to Elicit Users’ Food Preferences","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"textgraphs-16-natural-language-premise","title":"TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-neural-retrieval-with-source","title":"Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning","date":"2022-10-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-retrieval-with-search-agents-and","title":"Zero-Shot Retrieval with Search Agents and Hybrid Environments","date":"2022-09-30","arxiv_id":"2209.15469","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-research-dataset-recommendations","title":"Evaluating Research Dataset Recommendations in a Living Lab","date":"2022-09-29","arxiv_id":"2209.14843","repositories_listed":0,"syntology":null},{"url":null,"slug":"generate-and-retrieve-use-your-predictions-to","title":"Generate-and-Retrieve: use your predictions to improve retrieval for semantic parsing","date":"2022-09-29","arxiv_id":"2209.14899","repositories_listed":0,"syntology":null},{"url":null,"slug":"guided-unsupervised-learning-by-subaperture","title":"Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval","date":"2022-09-29","arxiv_id":"2209.15034","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-stage-information-retrieval-for","title":"Multi-stage Information Retrieval for Vietnamese Legal Texts","date":"2022-09-29","arxiv_id":"2209.14494","repositories_listed":0,"syntology":null},{"url":"/paper/re-imagen-retrieval-augmented-text-to-image","slug":"re-imagen-retrieval-augmented-text-to-image","title":"Re-Imagen: Retrieval-Augmented Text-to-Image Generator","date":"2022-09-29","arxiv_id":"2209.14491","repositories_listed":0,"syntology":null},{"url":null,"slug":"rest-retrieve-self-train-for-generative","title":"REST: REtrieve & Self-Train for generative action recognition","date":"2022-09-29","arxiv_id":"2209.15000","repositories_listed":0,"syntology":null},{"url":null,"slug":"fid-light-efficient-and-effective-retrieval","title":"FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation","date":"2022-09-28","arxiv_id":"2209.14290","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-deep-representations-via-contrastive","title":"Learning Deep Representations via Contrastive Learning for Instance Retrieval","date":"2022-09-28","arxiv_id":"2209.13832","repositories_listed":0,"syntology":null},{"url":null,"slug":"tokenflow-rethinking-fine-grained-cross-modal","title":"TokenFlow: Rethinking Fine-grained Cross-modal Alignment in Vision-Language Retrieval","date":"2022-09-28","arxiv_id":"2209.13822","repositories_listed":0,"syntology":null},{"url":null,"slug":"unified-loss-of-pair-similarity-optimization","title":"Unified Loss of Pair Similarity Optimization for Vision-Language Retrieval","date":"2022-09-28","arxiv_id":"2209.13869","repositories_listed":0,"syntology":null},{"url":"/paper/freeseg-free-mask-from-interpretable","slug":"freeseg-free-mask-from-interpretable","title":"FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation","date":"2022-09-27","arxiv_id":"2209.13558","repositories_listed":0,"syntology":null},{"url":null,"slug":"mrobust04-a-multilingual-version-of-the-trec","title":"mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark","date":"2022-09-27","arxiv_id":"2209.13738","repositories_listed":0,"syntology":null},{"url":null,"slug":"regularized-contrastive-learning-of-semantic","title":"Regularized Contrastive Learning of Semantic Search","date":"2022-09-27","arxiv_id":"2209.13241","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-based-time-series-forecasting","title":"Retrieval Based Time Series Forecasting","date":"2022-09-27","arxiv_id":"2209.13525","repositories_listed":0,"syntology":null},{"url":null,"slug":"task-dependent-fractal-patterns-of","title":"Task-dependent fractal patterns of information processing in working memory","date":"2022-09-27","arxiv_id":"2209.13297","repositories_listed":0,"syntology":null},{"url":null,"slug":"text-adaptive-multiple-visual-prototype","title":"Text-Adaptive Multiple Visual Prototype Matching for Video-Text Retrieval","date":"2022-09-27","arxiv_id":"2209.13307","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-manifold-hashing-a-divide-and-conquer","title":"Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval","date":"2022-09-26","arxiv_id":"2209.12599","repositories_listed":0,"syntology":null},{"url":null,"slug":"information-theoretic-hashing-for-zero-shot","title":"Information-Theoretic Hashing for Zero-Shot Cross-Modal Retrieval","date":"2022-09-26","arxiv_id":"2209.12491","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-granularity-graph-pooling-for-video","title":"Multi-Granularity Graph Pooling for Video-based Person Re-Identification","date":"2022-09-23","arxiv_id":"2209.11584","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-modal-cross-domain-alignment-network","title":"Multi-Modal Cross-Domain Alignment Network for Video Moment Retrieval","date":"2022-09-23","arxiv_id":"2209.11572","repositories_listed":0,"syntology":null},{"url":null,"slug":"pose-aided-video-based-person-re","title":"Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network","date":"2022-09-23","arxiv_id":"2209.11582","repositories_listed":0,"syntology":null},{"url":null,"slug":"promptagator-few-shot-dense-retrieval-from-8","title":"Promptagator: Few-shot Dense Retrieval From 8 Examples","date":"2022-09-23","arxiv_id":"2209.11755","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-speakin-system-description-for-cnsrc2022","title":"The SpeakIn System Description for CNSRC2022","date":"2022-09-22","arxiv_id":"2209.10846","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-based-audio-retrieval-task-in-dcase","title":"Language-based Audio Retrieval Task in DCASE 2022 Challenge","date":"2022-09-20","arxiv_id":"2209.09967","repositories_listed":0,"syntology":null},{"url":null,"slug":"semi-automatic-data-annotation-system-for","title":"Semi-automatic Data Annotation System for Multi-Target Multi-Camera Vehicle Tracking","date":"2022-09-20","arxiv_id":"2209.09606","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-decoupled-retrieval-representation","title":"Learning Decoupled Retrieval Representation for Nearest Neighbour Neural Machine Translation","date":"2022-09-19","arxiv_id":"2209.08738","repositories_listed":0,"syntology":null},{"url":null,"slug":"scaling-and-compressing-melodies-using","title":"Scaling and compressing melodies using geometric similarity measures","date":"2022-09-19","arxiv_id":"2209.09621","repositories_listed":0,"syntology":null},{"url":null,"slug":"tree-based-text-vision-bert-for-video-search","title":"Tree-based Text-Vision BERT for Video Search in Baidu Video Advertising","date":"2022-09-19","arxiv_id":"2209.08759","repositories_listed":0,"syntology":null},{"url":null,"slug":"metadip-accelerating-deep-image-prior-with","title":"MetaDIP: Accelerating Deep Image Prior with Meta Learning","date":"2022-09-18","arxiv_id":"2209.08452","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamic-generation-of-interpretable-inference","title":"NELLIE: A Neuro-Symbolic Inference Engine for Grounded, Compositional, and Explainable Reasoning","date":"2022-09-16","arxiv_id":"2209.07662","repositories_listed":0,"syntology":null},{"url":null,"slug":"interactions-in-information-spread-2","title":"Interactions in Information Spread","date":"2022-09-16","arxiv_id":"2209.08026","repositories_listed":0,"syntology":null},{"url":null,"slug":"accuracy-of-the-uzbek-stop-words-detection-a","title":"Accuracy of the Uzbek stop words detection: a case study on \"School corpus\"","date":"2022-09-15","arxiv_id":"2209.07053","repositories_listed":0,"syntology":null},{"url":"/paper/omnivl-one-foundation-model-for-image","slug":"omnivl-one-foundation-model-for-image","title":"OmniVL:One Foundation Model for Image-Language and Video-Language Tasks","date":"2022-09-15","arxiv_id":"2209.07526","repositories_listed":0,"syntology":null},{"url":null,"slug":"isimloc-visual-global-localization-for","title":"iSimLoc: Visual Global Localization for Previously Unseen Environments with Simulated Images","date":"2022-09-14","arxiv_id":"2209.06376","repositories_listed":0,"syntology":null},{"url":null,"slug":"pre-training-for-information-retrieval-are","title":"Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?","date":"2022-09-14","arxiv_id":"2209.06583","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformers-and-cnns-both-beat-humans-on","title":"Transformers and CNNs both Beat Humans on SBIR","date":"2022-09-14","arxiv_id":"2209.06629","repositories_listed":0,"syntology":null},{"url":null,"slug":"caibc-capturing-all-round-information-beyond","title":"CAIBC: Capturing All-round Information Beyond Color for Text-based Person Retrieval","date":"2022-09-13","arxiv_id":"2209.05773","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparative-analysis-of-segmentation-and","title":"Comparative analysis of segmentation and generative models for fingerprint retrieval task","date":"2022-09-13","arxiv_id":"2209.06172","repositories_listed":0,"syntology":null},{"url":null,"slug":"document-image-binarization-in-jpeg","title":"Document Image Binarization in JPEG Compressed Domain using Dual Discriminator Generative Adversarial Networks","date":"2022-09-13","arxiv_id":"2209.05921","repositories_listed":0,"syntology":null},{"url":null,"slug":"hearts-multi-task-fusion-of-dense-retrieval","title":"Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search","date":"2022-09-13","arxiv_id":"2209.05861","repositories_listed":0,"syntology":null},{"url":null,"slug":"ksg-knowledge-and-skill-graph","title":"KSG: Knowledge and Skill Graph","date":"2022-09-13","arxiv_id":"2209.05698","repositories_listed":0,"syntology":null},{"url":null,"slug":"look-before-you-leap-improving-text-based","title":"Look Before You Leap: Improving Text-based Person Retrieval by Learning A Consistent Cross-modal Common Manifold","date":"2022-09-13","arxiv_id":"2209.06209","repositories_listed":0,"syntology":null},{"url":null,"slug":"no-existence-of-linear-algorithm-for-fourier","title":"No existence of linear algorithm for Fourier phase retrieval","date":"2022-09-13","arxiv_id":"2209.05673","repositories_listed":0,"syntology":null},{"url":null,"slug":"non-parametric-temporal-adaptation-for-social","title":"Non-Parametric Temporal Adaptation for Social Media Topic Classification","date":"2022-09-13","arxiv_id":"2209.05706","repositories_listed":0,"syntology":null},{"url":null,"slug":"hard-negatives-or-false-negatives-correcting","title":"Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models","date":"2022-09-12","arxiv_id":"2209.05072","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-bayan-algorithm-detecting-communities-in","title":"Bayan Algorithm: Detecting Communities in Networks Through Exact and Approximate Optimization of Modularity","date":"2022-09-10","arxiv_id":"2209.04562","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-management-challenges-for-internet-scale","title":"Data Management Challenges for Internet-scale 3D Search Engines","date":"2022-09-08","arxiv_id":"2209.03913","repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-on-applications-of-neurosymbolic","title":"Survey on Applications of Neurosymbolic Artificial Intelligence","date":"2022-09-08","arxiv_id":"2209.12618","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-enhanced-iterative-instruction","title":"Knowledge-enhanced Iterative Instruction Generation and Reasoning for Knowledge Base Question Answering","date":"2022-09-07","arxiv_id":"2209.03005","repositories_listed":0,"syntology":null},{"url":null,"slug":"neural-feature-fusion-fields-3d-distillation","title":"Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations","date":"2022-09-07","arxiv_id":"2209.03494","repositories_listed":0,"syntology":null},{"url":null,"slug":"segment-augmentation-and-differentiable","title":"Segment Augmentation and Differentiable Ranking for Logo Retrieval","date":"2022-09-06","arxiv_id":"2209.02482","repositories_listed":0,"syntology":null},{"url":null,"slug":"modelling-business-agreements-in-the","title":"Modelling Business Agreements in the Multimodal Transportation Domain through Ontological Smart Contracts","date":"2022-09-05","arxiv_id":"2209.05463","repositories_listed":0,"syntology":null},{"url":null,"slug":"temporal-contrastive-learning-with-curriculum","title":"Temporal Contrastive Learning with Curriculum","date":"2022-09-02","arxiv_id":"2209.00760","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-machine-translation-in-cross","title":"Evaluating Machine Translation in Cross-lingual E-Commerce Search","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"getting-better-dialogue-context-for-knowledge","title":"Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"more-like-this-semantic-retrieval-with","title":"More Like This: Semantic Retrieval with Linguistic Information","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"what-is-missing-in-deep-music-generation-a","title":"What is missing in deep music generation? A study of repetition and structure in popular music","date":"2022-09-01","arxiv_id":"2209.00182","repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-event-causality-identification-with","title":"Zero-shot Event Causality Identification with Question Answering","date":"2022-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"zero-shot-multi-modal-artist-controlled","title":"Zero-Shot Multi-Modal Artist-Controlled Retrieval and Exploration of 3D Object Sets","date":"2022-09-01","arxiv_id":"2209.00682","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-topic-aware-graph-neural-network-model-for","title":"A topic-aware graph neural network model for knowledge base updating","date":"2022-08-31","arxiv_id":"2208.14601","repositories_listed":0,"syntology":null},{"url":null,"slug":"injecting-image-details-into-clip-s-feature","title":"DetailCLIP: Injecting Image Details into CLIP's Feature Space","date":"2022-08-31","arxiv_id":"2208.14649","repositories_listed":0,"syntology":null},{"url":null,"slug":"tradeoffs-in-resampling-and-filtering-for","title":"Tradeoffs in Resampling and Filtering for Imbalanced Classification","date":"2022-08-31","arxiv_id":"2209.00127","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-binary-and-sparse-permutation","title":"Learning Binary and Sparse Permutation-Invariant Representations for Fast and Memory Efficient Whole Slide Image Search","date":"2022-08-29","arxiv_id":"2208.13653","repositories_listed":0,"syntology":null},{"url":null,"slug":"synthetic-latent-fingerprint-generator","title":"Synthetic Latent Fingerprint Generator","date":"2022-08-29","arxiv_id":"2208.13811","repositories_listed":0,"syntology":null},{"url":null,"slug":"representation-learning-for-appliance","title":"Representation Learning for Appliance Recognition: A Comparison to Classical Machine Learning","date":"2022-08-26","arxiv_id":"2209.03759","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-perceptual-measure-for-lens-and-camera","title":"A Deep Perceptual Measure for Lens and Camera Calibration","date":"2022-08-25","arxiv_id":"2208.12300","repositories_listed":0,"syntology":null}],"record_sha256":"e8a1088e607159c0e79e185b946e125072dc2999d21817c6620fff85ee38e490","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}