{"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/106","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":106,"pages_in_order":143,"rows_per_page":100,"rows":[10501,10600],"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/105","next":"/task/retrieval/papers/107","papers":[{"url":null,"slug":"retrieval-augmented-transformer-xl-for-close","title":"Retrieval-Augmented Transformer-XL for Close-Domain Dialog Generation","date":"2021-05-19","arxiv_id":"2105.09235","repositories_listed":0,"syntology":null},{"url":null,"slug":"path-based-deep-network-for-candidate-item","title":"Path-based Deep Network for Candidate Item Matching in Recommenders","date":"2021-05-18","arxiv_id":"2105.08246","repositories_listed":0,"syntology":null},{"url":null,"slug":"sharp-restricted-isometry-property-bounds-for","title":"Sharp Restricted Isometry Property Bounds for Low-rank Matrix Recovery Problems with Corrupted Measurements","date":"2021-05-18","arxiv_id":"2105.08232","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-unsupervised-sketch-based-image","title":"Towards Unsupervised Sketch-based Image Retrieval","date":"2021-05-18","arxiv_id":"2105.08237","repositories_listed":0,"syntology":null},{"url":null,"slug":"weakly-supervised-dense-video-captioning-via","title":"Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching","date":"2021-05-18","arxiv_id":"2105.08252","repositories_listed":0,"syntology":null},{"url":null,"slug":"bigearthnet-mm-a-large-scale-multi-modal","title":"BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval","date":"2021-05-17","arxiv_id":"2105.07921","repositories_listed":0,"syntology":null},{"url":null,"slug":"leveraging-efficientnet-and-contrastive","title":"Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation","date":"2021-05-17","arxiv_id":"2105.07645","repositories_listed":0,"syntology":null},{"url":null,"slug":"bdlan-bertdoc-label-attention-networks-for","title":"BdLAN:BERTdoc Label Attention Networks for Multi-label text classification","date":"2021-05-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"sina-bert-a-pre-trained-language-model-for-1","title":"SINA-BERT: A Pre-Trained Language Model for Analysis of Medical Texts in Persian","date":"2021-05-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"survey-of-visual-semantic-embedding-methods","title":"Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval","date":"2021-05-16","arxiv_id":"2105.07391","repositories_listed":0,"syntology":null},{"url":null,"slug":"admm-and-spectral-proximity-operators-in","title":"ADMM and Spectral Proximity Operators in Hyperspectral Broadband Phase Retrieval for Quantitative Phase Imaging","date":"2021-05-14","arxiv_id":"2105.07891","repositories_listed":0,"syntology":null},{"url":null,"slug":"chord-recognition-music-and-audio-information","title":"Chord Recognition- Music and Audio Information Retrieval","date":"2021-05-14","arxiv_id":"2105.07019","repositories_listed":0,"syntology":null},{"url":null,"slug":"extracting-variable-depth-logical-document","title":"Extracting Variable-Depth Logical Document Hierarchy from Long Documents: Method, Evaluation, and Application","date":"2021-05-14","arxiv_id":"2105.09297","repositories_listed":0,"syntology":null},{"url":null,"slug":"meta-inductive-node-classification-across","title":"Meta-Inductive Node Classification across Graphs","date":"2021-05-14","arxiv_id":"2105.06725","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-set-face-recognition-for-small-galleries","title":"Open-set Face Recognition for Small Galleries Using Siamese Networks","date":"2021-05-14","arxiv_id":"2105.06967","repositories_listed":0,"syntology":null},{"url":null,"slug":"compatibility-aware-heterogeneous-visual","title":"Compatibility-aware Heterogeneous Visual Search","date":"2021-05-13","arxiv_id":"2105.06047","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamical-origin-for-winner-take-all","title":"Dynamical Origin for Winner-Take-All Competition in A Biological Network of The Hippocampal Dentate Gyrus","date":"2021-05-13","arxiv_id":"2105.06057","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-statistical-model-for-melody-reduction","title":"A Statistical Model for Melody Reduction","date":"2021-05-12","arxiv_id":"2105.05385","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modal-and-multimodal-data-analysis","title":"Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization","date":"2021-05-12","arxiv_id":"2105.05631","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangling-sampling-and-labeling-bias-for","title":"Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces","date":"2021-05-12","arxiv_id":"2105.05736","repositories_listed":0,"syntology":null},{"url":null,"slug":"fairness-and-discrimination-in-information","title":"Fairness in Information Access Systems","date":"2021-05-12","arxiv_id":"2105.05779","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-field-models-in-neural-recipe-ranking","title":"Evaluation of Field-Aware Neural Ranking Models for Recipe Search","date":"2021-05-12","arxiv_id":"2105.05710","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-text-extraction-based-smart-knowledge-graph","title":"A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design","date":"2021-05-11","arxiv_id":"2105.05076","repositories_listed":0,"syntology":null},{"url":null,"slug":"backretrieval-an-image-pivoted-evaluation","title":"Backretrieval: An Image-Pivoted Evaluation Metric for Cross-Lingual Text Representations Without Parallel Corpora","date":"2021-05-11","arxiv_id":"2105.04971","repositories_listed":0,"syntology":null},{"url":null,"slug":"museum-painting-retrieval","title":"Museum Painting Retrieval","date":"2021-05-11","arxiv_id":"2105.04891","repositories_listed":0,"syntology":null},{"url":null,"slug":"spoken-moments-learning-joint-audio-visual","title":"Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions","date":"2021-05-10","arxiv_id":"2105.04489","repositories_listed":0,"syntology":null},{"url":null,"slug":"t-emde-sketching-based-global-similarity-for","title":"T-EMDE: Sketching-based global similarity for cross-modal retrieval","date":"2021-05-10","arxiv_id":"2105.04242","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-document-representations-by","title":"Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval","date":"2021-05-08","arxiv_id":"2105.03599","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-based-multilingual-product-retrieval-in","title":"Graph-based Multilingual Product Retrieval in E-commerce Search","date":"2021-05-06","arxiv_id":"2105.02978","repositories_listed":0,"syntology":null},{"url":null,"slug":"person-retrieval-in-surveillance-using","title":"Person Retrieval in Surveillance Using Textual Query: A Review","date":"2021-05-06","arxiv_id":"2105.02414","repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-search-making-experts-out-of","title":"Rethinking Search: Making Domain Experts out of Dilettantes","date":"2021-05-05","arxiv_id":"2105.02274","repositories_listed":0,"syntology":null},{"url":null,"slug":"transhash-transformer-based-hamming-hashing","title":"TransHash: Transformer-based Hamming Hashing for Efficient Image Retrieval","date":"2021-05-05","arxiv_id":"2105.01823","repositories_listed":0,"syntology":null},{"url":null,"slug":"motion-augmented-self-training-for-video","title":"Motion-Augmented Self-Training for Video Recognition at Smaller Scale","date":"2021-05-04","arxiv_id":"2105.01646","repositories_listed":0,"syntology":null},{"url":null,"slug":"moving-towards-centers-re-ranking-with","title":"Moving Towards Centers: Re-ranking with Attention and Memory for Re-identification","date":"2021-05-04","arxiv_id":"2105.01447","repositories_listed":0,"syntology":null},{"url":null,"slug":"goldilocks-just-right-tuning-of-bert-for","title":"Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review","date":"2021-05-03","arxiv_id":"2105.01044","repositories_listed":0,"syntology":null},{"url":null,"slug":"sketches-image-analysis-web-image-search","title":"Sketches image analysis: Web image search engine usingLSH index and DNN InceptionV3","date":"2021-05-03","arxiv_id":"2105.01147","repositories_listed":0,"syntology":null},{"url":null,"slug":"intelligent-conversational-android-erica","title":"Intelligent Conversational Android ERICA Applied to Attentive Listening and Job Interview","date":"2021-05-02","arxiv_id":"2105.00403","repositories_listed":0,"syntology":null},{"url":null,"slug":"mathbert-a-pre-trained-model-for-mathematical","title":"MathBERT: A Pre-Trained Model for Mathematical Formula Understanding","date":"2021-05-02","arxiv_id":"2105.00377","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-bengali-word-embedding-corpus","title":"Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations","date":"2021-05-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"action-in-mind-a-neural-network-approach-to","title":"Action in Mind: A Neural Network Approach to Action Recognition and Segmentation","date":"2021-04-30","arxiv_id":"2104.14870","repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-contrastive-models-for-instance","title":"Evaluating Contrastive Models for Instance-based Image Retrieval","date":"2021-04-30","arxiv_id":"2104.14939","repositories_listed":0,"syntology":null},{"url":null,"slug":"pseudo-interactive-pattern-search-in","title":"PSEUDo: Interactive Pattern Search in Multivariate Time Series with Locality-Sensitive Hashing and Relevance Feedback","date":"2021-04-30","arxiv_id":"2104.14962","repositories_listed":0,"syntology":null},{"url":null,"slug":"relevance-detection-in-cataract-surgery","title":"Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization","date":"2021-04-29","arxiv_id":"2104.14280","repositories_listed":0,"syntology":null},{"url":null,"slug":"variable-length-codes-independent-or-closed","title":"Variable-Length Codes Independent or Closed with respect to Edit Relations","date":"2021-04-29","arxiv_id":"2104.14185","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-deep-learning-object-detection-method-for","title":"A Deep Learning Object Detection Method for an Efficient Clusters Initialization","date":"2021-04-28","arxiv_id":"2104.13634","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-unified-neural-network-approach-to-e","title":"A unified Neural Network Approach to E-CommerceRelevance Learning","date":"2021-04-26","arxiv_id":"2104.12302","repositories_listed":0,"syntology":null},{"url":null,"slug":"accounting-for-agreement-phenomena-in","title":"Accounting for Agreement Phenomena in Sentence Comprehension with Transformer Language Models: Effects of Similarity-based Interference on Surprisal and Attention","date":"2021-04-26","arxiv_id":"2104.12874","repositories_listed":0,"syntology":null},{"url":"/paper/germanquad-and-germandpr-improving-non","slug":"germanquad-and-germandpr-improving-non","title":"GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval","date":"2021-04-26","arxiv_id":"2104.12741","repositories_listed":0,"syntology":null},{"url":null,"slug":"multimodal-contrastive-training-for-visual","title":"Multimodal Contrastive Training for Visual Representation Learning","date":"2021-04-26","arxiv_id":"2104.12836","repositories_listed":0,"syntology":null},{"url":null,"slug":"attwalk-attentive-cross-walks-for-deep-mesh","title":"AttWalk: Attentive Cross-Walks for Deep Mesh Analysis","date":"2021-04-23","arxiv_id":"2104.11571","repositories_listed":0,"syntology":null},{"url":null,"slug":"form-10-q-itemization","title":"Form 10-Q Itemization","date":"2021-04-23","arxiv_id":"2104.11783","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-cluster-faces-via-transformer","title":"Learning to Cluster Faces via Transformer","date":"2021-04-23","arxiv_id":"2104.11502","repositories_listed":0,"syntology":null},{"url":null,"slug":"memory-retrieval-dynamics-and-storage","title":"Memory retrieval dynamics and storage capacity of a modular network model of association cortex with featural decomposition","date":"2021-04-23","arxiv_id":"2104.11739","repositories_listed":0,"syntology":null},{"url":null,"slug":"playing-lottery-tickets-with-vision-and","title":"Playing Lottery Tickets with Vision and Language","date":"2021-04-23","arxiv_id":"2104.11832","repositories_listed":0,"syntology":null},{"url":null,"slug":"attribute-modulated-generative-meta-learning","title":"Attribute-Modulated Generative Meta Learning for Zero-Shot Classification","date":"2021-04-22","arxiv_id":"2104.10857","repositories_listed":0,"syntology":null},{"url":null,"slug":"hybrid-encoder-towards-efficient-and-precise","title":"Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks","date":"2021-04-22","arxiv_id":"2104.10925","repositories_listed":0,"syntology":null},{"url":null,"slug":"sbnet-segmentation-based-network-for-natural","title":"SBNet: Segmentation-based Network for Natural Language-based Vehicle Search","date":"2021-04-22","arxiv_id":"2104.11589","repositories_listed":0,"syntology":null},{"url":null,"slug":"sketch-qnet-a-quadruplet-convnet-for-color","title":"Sketch-QNet: A Quadruplet ConvNet for Color Sketch-based Image Retrieval","date":"2021-04-22","arxiv_id":"2104.11130","repositories_listed":0,"syntology":null},{"url":null,"slug":"metricopt-learning-to-optimize-black-box","title":"MetricOpt: Learning to Optimize Black-Box Evaluation Metrics","date":"2021-04-21","arxiv_id":"2104.10631","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-indexing-and-querying","title":"An Analysis of Indexing and Querying Strategies on a Technologically Assisted Review Task","date":"2021-04-20","arxiv_id":"2104.09774","repositories_listed":0,"syntology":null},{"url":null,"slug":"compact-and-effective-representations-for","title":"Compact and Effective Representations for Sketch-based Image Retrieval","date":"2021-04-20","arxiv_id":"2104.10278","repositories_listed":0,"syntology":null},{"url":null,"slug":"crossatnet-a-novel-cross-attention-based","title":"CrossATNet - A Novel Cross-Attention Based Framework for Sketch-Based Image Retrieval","date":"2021-04-20","arxiv_id":"2104.09918","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-retrieval-optimized-multi-task","title":"Efficient Retrieval Optimized Multi-task Learning","date":"2021-04-20","arxiv_id":"2104.10129","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-transformer-kernel-ranking-model","title":"Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence","date":"2021-04-19","arxiv_id":"2104.09393","repositories_listed":0,"syntology":null},{"url":null,"slug":"searching-for-scientific-evidence-in-a","title":"Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID","date":"2021-04-19","arxiv_id":"2104.09632","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-knowledge-discovery-and-discussion","title":"Semantic Knowledge Discovery and Discussion Mining of Incel Online Community: Topic modeling","date":"2021-04-19","arxiv_id":"2104.09586","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-survey-of-image-labelling-for-computer","title":"A survey of image labelling for computer vision applications","date":"2021-04-18","arxiv_id":"2104.08885","repositories_listed":0,"syntology":null},{"url":null,"slug":"contextualized-query-embeddings-for","title":"Contextualized Query Embeddings for Conversational Search","date":"2021-04-18","arxiv_id":"2104.08707","repositories_listed":0,"syntology":null},{"url":null,"slug":"dch-2-a-parallel-customer-helpdesk-dialogue","title":"DCH-2: A Parallel Customer-Helpdesk Dialogue Corpus with Distributions of Annotators' Labels","date":"2021-04-18","arxiv_id":"2104.08755","repositories_listed":0,"syntology":null},{"url":null,"slug":"simple-and-efficient-ways-to-improve-realm","title":"Simple and Efficient ways to Improve REALM","date":"2021-04-18","arxiv_id":"2104.08710","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-graph-guided-multi-round-retrieval-method","title":"A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering","date":"2021-04-17","arxiv_id":"2104.08443","repositories_listed":0,"syntology":null},{"url":null,"slug":"co-bert-a-context-aware-bert-retrieval-model","title":"Co-BERT: A Context-Aware BERT Retrieval Model Incorporating Local and Query-specific Context","date":"2021-04-17","arxiv_id":"2104.08523","repositories_listed":0,"syntology":null},{"url":null,"slug":"joint-passage-ranking-for-diverse-multi","title":"Joint Passage Ranking for Diverse Multi-Answer Retrieval","date":"2021-04-17","arxiv_id":"2104.08445","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-analysis-of-a-bert-deep-learning-strategy","title":"An Analysis of a BERT Deep Learning Strategy on a Technology Assisted Review Task","date":"2021-04-16","arxiv_id":"2104.08340","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-modal-retrieval-augmentation-for-multi-1","title":"Cross-Modal Retrieval Augmentation for Multi-Modal Classification","date":"2021-04-16","arxiv_id":"2104.08108","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-gaussian-processes-for-biogeophysical","title":"Deep Gaussian Processes for Biogeophysical Parameter Retrieval and Model Inversion","date":"2021-04-16","arxiv_id":"2104.10638","repositories_listed":0,"syntology":null},{"url":null,"slug":"histopathology-wsi-encoding-based-on-gcns-for","title":"Histopathology WSI Encoding based on GCNs for Scalable and Efficient Retrieval of Diagnostically Relevant Regions","date":"2021-04-16","arxiv_id":"2104.07878","repositories_listed":0,"syntology":null},{"url":null,"slug":"segmenting-subtitles-for-correcting-asr","title":"Segmenting Subtitles for Correcting ASR Segmentation Errors","date":"2021-04-16","arxiv_id":"2104.07868","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-video-retrieval-transformer","title":"Self-supervised Video Retrieval Transformer Network","date":"2021-04-16","arxiv_id":"2104.07993","repositories_listed":0,"syntology":null},{"url":null,"slug":"vgnmn-video-grounded-neural-module-network-to","title":"VGNMN: Video-grounded Neural Module Network to Video-Grounded Language Tasks","date":"2021-04-16","arxiv_id":"2104.07921","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-regional-attention-over-multi","title":"Learning Regional Attention over Multi-resolution Deep Convolutional Features for Trademark Retrieval","date":"2021-04-15","arxiv_id":"2104.07240","repositories_listed":0,"syntology":null},{"url":null,"slug":"retrieval-augmentation-reduces-hallucination","title":"Retrieval Augmentation Reduces Hallucination in Conversation","date":"2021-04-15","arxiv_id":"2104.07567","repositories_listed":0,"syntology":null},{"url":null,"slug":"sina-bert-a-pre-trained-language-model-for","title":"SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian","date":"2021-04-15","arxiv_id":"2104.07613","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-neural-retrieval-models-with","title":"Towards Robust Neural Retrieval Models with Synthetic Pre-Training","date":"2021-04-15","arxiv_id":"2104.07800","repositories_listed":0,"syntology":null},{"url":null,"slug":"uhd-bert-bucketed-ultra-high-dimensional","title":"Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval","date":"2021-04-15","arxiv_id":"2104.07198","repositories_listed":0,"syntology":null},{"url":null,"slug":"continual-learning-in-cross-modal-retrieval","title":"Continual learning in cross-modal retrieval","date":"2021-04-14","arxiv_id":"2104.06806","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-maps-and-metrics-for-science","title":"Semantic maps and metrics for science Semantic maps and metrics for science using deep transformer encoders","date":"2021-04-13","arxiv_id":"2104.05928","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-for-iot","title":"Deep Learning for IoT","date":"2021-04-12","arxiv_id":"2104.05569","repositories_listed":0,"syntology":null},{"url":null,"slug":"fatigued-pagerank","title":"Fatigued PageRank","date":"2021-04-12","arxiv_id":"2104.05369","repositories_listed":0,"syntology":null},{"url":null,"slug":"fatigued-random-walks-in-hypergraphs-a","title":"Fatigued Random Walks in Hypergraphs: A Neuronal Analogy to Improve Retrieval Performance","date":"2021-04-12","arxiv_id":"2104.05364","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-intent-classification-and-slot","title":"Few-shot Intent Classification and Slot Filling with Retrieved Examples","date":"2021-04-12","arxiv_id":"2104.05763","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-code-with-the-help-of-retrieved","title":"Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers","date":"2021-04-12","arxiv_id":"2104.05310","repositories_listed":0,"syntology":null},{"url":null,"slug":"integrating-information-theory-and","title":"Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval","date":"2021-04-11","arxiv_id":"2104.04991","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-current-user-web-search-behaviours","title":"Exploring Current User Web Search Behaviours in Analysis Tasks to be Supported in Conversational Search","date":"2021-04-09","arxiv_id":"2104.04501","repositories_listed":0,"syntology":null},{"url":null,"slug":"transwic-at-semeval-2021-task-2-transformer","title":"TransWiC at SemEval-2021 Task 2: Transformer-based Multilingual and Cross-lingual Word-in-Context Disambiguation","date":"2021-04-09","arxiv_id":"2104.04632","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-conceptual-framework-for-implicit","title":"A Conceptual Framework for Implicit Evaluation of Conversational Search Interfaces","date":"2021-04-08","arxiv_id":"2104.03940","repositories_listed":0,"syntology":null},{"url":null,"slug":"affine-modeled-video-extraction-from-a-single","title":"Affine-modeled video extraction from a single motion blurred image","date":"2021-04-08","arxiv_id":"2104.03777","repositories_listed":0,"syntology":null},{"url":null,"slug":"document-layout-analysis-via-dynamic-residual","title":"Document Layout Analysis via Dynamic Residual Feature Fusion","date":"2021-04-07","arxiv_id":"2104.02874","repositories_listed":0,"syntology":null},{"url":null,"slug":"spotify-at-trec-2020-genre-aware-abstractive","title":"Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization","date":"2021-04-07","arxiv_id":"2104.03343","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-phase-retrieval","title":"Large-scale phase retrieval","date":"2021-04-06","arxiv_id":"2104.03148","repositories_listed":0,"syntology":null}],"record_sha256":"7f645fb1928db0787f4de2317b407e32cbb63d6528ea75bfef104df05a130a90","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}