{"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/transfer-learning/papers/70","list_of":"/task/transfer-learning","task":"Transfer Learning","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":70,"pages_in_order":104,"rows_per_page":100,"rows":[6901,7000],"of":10307,"counts":{"archive_papers_tagged":10307,"with_a_code_link":3502,"where_syntology_ran_a_sample":692,"not_listed_spam_title":0,"listed":10307,"listed_where_code_ran":692,"where_syntology_ran_a_sample_split":{"with_a_run_with_no_instrument_failure":563,"every_run_a_failure_of_syntologys_instrument":129,"listed_with_a_run_with_no_instrument_failure":563,"listed_every_run_a_failure_of_syntologys_instrument":129,"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/transfer-learning","prev":"/task/transfer-learning/papers/69","next":"/task/transfer-learning/papers/71","papers":[{"url":null,"slug":"towards-a-cleaner-document-oriented","title":"Towards a Cleaner Document-Oriented Multilingual Crawled Corpus","date":"2022-01-17","arxiv_id":"2201.06642","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-quantum-parametric","title":"Transfer Learning for Quantum Classifiers: An Information-Theoretic Generalization Analysis","date":"2022-01-17","arxiv_id":"2201.06297","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-meta-transfer-learning-framework-for","title":"A Meta-transfer Learning framework for Visually Grounded Compositional Concept Learning","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/a-two-stage-approach-towards-generalization-1","slug":"a-two-stage-approach-towards-generalization-1","title":"A Two-Stage Approach towards Generalization in Knowledge Base Question Answering","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-transfer-learning-for-multi-label","title":"Adaptive Transfer Learning for Multi-Label Emotion Classification","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-on-cross-lingual-and-cross","title":"An Empirical Study on Cross-Lingual and Cross-Domain Transfer for Legal Judgment Prediction","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"commonsense-knowledge-transfer-for-pre","title":"Commonsense Knowledge Transfer for Pre-trained Language Models","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"connecting-the-dots-between-audio-and-text-1","title":"Connecting the Dots between Audio and Text without Parallel Data through Visual Knowledge Transfer","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cooperative-self-training-of-machine-reading","title":"Cooperative Self-training of Machine Reading Comprehension","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-lifelong-learning","title":"Cross-lingual Lifelong Learning","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"disaggregating-hops-can-we-guide-a-multi-hop","title":"Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"doing-more-with-less-overcoming-data-scarcity","title":"Doing More with Less: Overcoming Data Scarcity for POI Recommendation via Cross-Region Transfer","date":"2022-01-16","arxiv_id":"2201.06095","repositories_listed":0,"syntology":null},{"url":null,"slug":"exploring-the-low-resource-transfer-learning","title":"Exploring the Low-Resource Transfer-Learning with mT5 model","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"hierarchical-relation-guided-type-sentence-1","title":"Hierarchical Relation-Guided Type-Sentence Alignment for Long-Tail Relation Extraction with Distant Supervision","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"modularized-transfer-learning-with-multiple","title":"Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-way-vnmt-for-ugc-improving-robustness","title":"Multi-way VNMT for UGC: Improving Robustness and Capacity via Mixture Density Networks","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-transferability-of-prompt-tuning-for-1","title":"On Transferability of Prompt Tuning for Natural Language Processing","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"one-step-is-enough-for-few-shot-cross-lingual","title":"One Step Is Enough for Few-Shot Cross-Lingual Transfer: Co-Training with Gradient Optimization","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"proqa-structural-prompt-based-pre-training","title":"ProQA: Structural Prompt-based Pre-training for Unified Question Answering","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"pruning-adatperfusion-with-lottery-ticket","title":"Pruning Adatperfusion with Lottery Ticket Hypothesis","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"when-does-parameter-efficient-transfer","title":"When does Parameter-Efficient Transfer Learning Work for Machine Translation?","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"when-more-is-not-necessary-better","title":"When More is not Necessary Better: Multilingual Auxiliary Tasks for Zero-Shot Cross-Lingual Transfer of Hate Speech Detection Models","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"xltime-a-cross-lingual-knowledge-transfer-1","title":"XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction","date":"2022-01-16","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"addressing-the-challenges-of-cross-lingual","title":"Addressing the Challenges of Cross-Lingual Hate Speech Detection","date":"2022-01-15","arxiv_id":"2201.05922","repositories_listed":0,"syntology":null},{"url":null,"slug":"semantic-decoupled-representation-learning","title":"Semantic decoupled representation learning for remote sensing image change detection","date":"2022-01-15","arxiv_id":"2201.05778","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-zero-shot-sign-language-recognition","title":"Towards Zero-shot Sign Language Recognition","date":"2022-01-15","arxiv_id":"2201.05914","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-transfer-learning-for-plant","title":"Adaptive Transfer Learning for Plant Phenotyping","date":"2022-01-14","arxiv_id":"2201.05261","repositories_listed":0,"syntology":null},{"url":null,"slug":"clue-contextualised-unified-explainable","title":"CLUE: Contextualised Unified Explainable Learning of User Engagement in Video Lectures","date":"2022-01-14","arxiv_id":"2201.05651","repositories_listed":0,"syntology":null},{"url":null,"slug":"reinforcement-learning-to-solve-np-hard","title":"Reinforcement Learning to Solve NP-hard Problems: an Application to the CVRP","date":"2022-01-14","arxiv_id":"2201.05393","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlocking-large-scale-crop-field-delineation","title":"Unlocking large-scale crop field delineation in smallholder farming systems with transfer learning and weak supervision","date":"2022-01-13","arxiv_id":"2201.04771","repositories_listed":0,"syntology":null},{"url":null,"slug":"early-diagnosis-of-parkinsons-disease-by","title":"Early Diagnosis of Parkinsons Disease by Analyzing Magnetic Resonance Imaging Brain Scans and Patient Characteristics","date":"2022-01-12","arxiv_id":"2201.04631","repositories_listed":0,"syntology":null},{"url":null,"slug":"intra-domain-and-cross-domain-transfer","title":"Intra-domain and cross-domain transfer learning for time series data -- How transferable are the features?","date":"2022-01-12","arxiv_id":"2201.04449","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-recurrent-reinforcement-learning-crypto","title":"The Recurrent Reinforcement Learning Crypto Agent","date":"2022-01-12","arxiv_id":"2201.04699","repositories_listed":0,"syntology":null},{"url":null,"slug":"toddler-guidance-learning-impacts-of-critical","title":"Toddler-Guidance Learning: Impacts of Critical Period on Multimodal AI Agents","date":"2022-01-12","arxiv_id":"2201.04990","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-feature-extraction-based-model-for-hate","title":"A Feature Extraction based Model for Hate Speech Identification","date":"2022-01-11","arxiv_id":"2201.04227","repositories_listed":0,"syntology":null},{"url":null,"slug":"active-reinforcement-learning-a-roadmap","title":"Active Reinforcement Learning -- A Roadmap Towards Curious Classifier Systems for Self-Adaptation","date":"2022-01-11","arxiv_id":"2201.03947","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-beer-bottles-using-object","title":"Classification of Beer Bottles using Object Detection and Transfer Learning","date":"2022-01-11","arxiv_id":"2201.03791","repositories_listed":0,"syntology":null},{"url":null,"slug":"two-wrongs-can-make-a-right-a-transfer","title":"Two Wrongs Can Make a Right: A Transfer Learning Approach for Chemical Discovery with Chemical Accuracy","date":"2022-01-11","arxiv_id":"2201.04243","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-scene-text-recognition","title":"Transfer Learning for Scene Text Recognition in Indian Languages","date":"2022-01-10","arxiv_id":"2201.03180","repositories_listed":0,"syntology":null},{"url":"/paper/a-transfer-learning-pipeline-for-educational","slug":"a-transfer-learning-pipeline-for-educational","title":"A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation","date":"2022-01-07","arxiv_id":"2201.02312","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-option-critic-1","title":"Attention Option-Critic","date":"2022-01-07","arxiv_id":"2201.02628","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-efficient-information-extraction-from","title":"Data-Efficient Information Extraction from Form-Like Documents","date":"2022-01-07","arxiv_id":"2201.02647","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-with-less-labels-in-digital","title":"Learning with Less Labels in Digital Pathology via Scribble Supervision from Natural Images","date":"2022-01-07","arxiv_id":"2201.02627","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-exploratory-experiment-on-hindi-bengali","title":"An exploratory experiment on Hindi, Bengali hate-speech detection and transfer learning using neural networks","date":"2022-01-06","arxiv_id":"2201.01997","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-label-classification-on-remote-sensing","title":"Multi-Label Classification on Remote-Sensing Images","date":"2022-01-06","arxiv_id":"2201.01971","repositories_listed":0,"syntology":null},{"url":null,"slug":"probing-tryongan","title":"Probing TryOnGAN","date":"2022-01-05","arxiv_id":"2201.01703","repositories_listed":0,"syntology":null},{"url":null,"slug":"sign-language-recognition-system-using","title":"Sign Language Recognition System using TensorFlow Object Detection API","date":"2022-01-05","arxiv_id":"2201.01486","repositories_listed":0,"syntology":null},{"url":null,"slug":"stain-normalized-breast-histopathology-image","title":"Stain Normalized Breast Histopathology Image Recognition using Convolutional Neural Networks for Cancer Detection","date":"2022-01-04","arxiv_id":"2201.00957","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-retinal-vascular","title":"Transfer Learning for Retinal Vascular Disease Detection: A Pilot Study with Diabetic Retinopathy and Retinopathy of Prematurity","date":"2022-01-04","arxiv_id":"2201.01250","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-feature-extraction-from","title":"Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model","date":"2022-01-03","arxiv_id":"2201.00636","repositories_listed":0,"syntology":null},{"url":null,"slug":"sentiment-analysis-and-sarcasm-detection-of","title":"Sentiment Analysis and Sarcasm Detection of Indian General Election Tweets","date":"2022-01-03","arxiv_id":"2201.02127","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-based-surrogate-model-for","title":"Transfer-learning-based Surrogate Model for Thermal Conductivity of Nanofluids","date":"2022-01-02","arxiv_id":"2201.00435","repositories_listed":0,"syntology":null},{"url":"/paper/a-data-driven-approach-to-improve-3d-head","slug":"a-data-driven-approach-to-improve-3d-head","title":"A Data-Driven Approach to Improve 3D Head-Pose Estimation","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-video-model-transfer-with-dynamic","title":"Improving Video Model Transfer With Dynamic Representation Learning","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rep-net-efficient-on-device-learning-via","title":"Rep-Net: Efficient On-Device Learning via Feature Reprogramming","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-learnable-affines-for-batch-norm","title":"Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"spaceedit-learning-a-unified-editing-space-1","title":"SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing","date":"2022-01-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"data-free-knowledge-transfer-a-survey","title":"Data-Free Knowledge Transfer: A Survey","date":"2021-12-31","arxiv_id":"2112.15278","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-cancer-diagnosis-in","title":"Transfer learning for cancer diagnosis in histopathological images","date":"2021-12-31","arxiv_id":"2112.15523","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-of-phase-transitions-in","title":"Transfer learning of phase transitions in percolation and directed percolation","date":"2021-12-31","arxiv_id":"2112.15516","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-transfer-learning-for-patient-specific","title":"Deep Transfer-Learning for patient specific model re-calibration: Application to sEMG-Classification","date":"2021-12-30","arxiv_id":"2112.15019","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhanced-dynamic-sign-language-recognition","title":"Enhanced dynamic sign language recognition using slowfast networks","date":"2021-12-30","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-role-of-neural-collapse-in-transfer-1","title":"On the Role of Neural Collapse in Transfer Learning","date":"2021-12-30","arxiv_id":"2112.15121","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-layers-in-vision-transformers","title":"Improving the Behaviour of Vision Transformers with Token-consistent Stochastic Layers","date":"2021-12-30","arxiv_id":"2112.15111","repositories_listed":0,"syntology":null},{"url":"/paper/the-benchmark-transferable-representation","slug":"the-benchmark-transferable-representation","title":"THE Benchmark: Transferable Representation Learning for Monocular Height Estimation","date":"2021-12-30","arxiv_id":"2112.14985","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-transfer-learning-enhanced-the-physics","title":"A transfer learning enhanced the physics-informed neural network model for vortex-induced vibration","date":"2021-12-29","arxiv_id":"2112.14448","repositories_listed":0,"syntology":null},{"url":null,"slug":"feature-matching-as-improved-transfer","title":"Feature matching as improved transfer learning technique for wearable EEG","date":"2021-12-29","arxiv_id":"2201.00644","repositories_listed":0,"syntology":null},{"url":null,"slug":"powergraph-using-neural-networks-and","title":"PowerGraph: Using neural networks and principal components to determine multivariate statistical power trade-offs","date":"2021-12-29","arxiv_id":"2201.00719","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-open-set-machinery-fault","title":"Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers","date":"2021-12-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"mythological-medical-machine-learning","title":"Mythological Medical Machine Learning: Boosting the Performance of a Deep Learning Medical Data Classifier Using Realistic Physiological Models","date":"2021-12-28","arxiv_id":"2112.15442","repositories_listed":0,"syntology":null},{"url":null,"slug":"delivery-issues-identification-from-customer","title":"Delivery Issues Identification from Customer Feedback Data","date":"2021-12-26","arxiv_id":"2112.13372","repositories_listed":0,"syntology":null},{"url":null,"slug":"spoiler-in-a-textstack-how-much-can","title":"Spoiler in a Textstack: How Much Can Transformers Help?","date":"2021-12-24","arxiv_id":"2112.12913","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-curse-of-zero-task-diversity-on-the","title":"The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence","date":"2021-12-24","arxiv_id":"2112.13121","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-path-structural-contrastive-embeddings","title":"Dual Path Structural Contrastive Embeddings for Learning Novel Objects","date":"2021-12-23","arxiv_id":"2112.12359","repositories_listed":0,"syntology":null},{"url":null,"slug":"faster-deep-ensemble-averaging-for","title":"Faster Deep Ensemble Averaging for Quantification of DNA Damage from Comet Assay Images With Uncertainty Estimates","date":"2021-12-23","arxiv_id":"2112.12839","repositories_listed":0,"syntology":null},{"url":null,"slug":"toward-educator-focused-automated-scoring","title":"Toward Educator-focused Automated Scoring Systems for Reading and Writing","date":"2021-12-22","arxiv_id":"2112.11973","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-outage-restoration-time","title":"Data-Driven Outage Restoration Time Prediction via Transfer Learning with Cluster Ensembles","date":"2021-12-21","arxiv_id":"2112.11374","repositories_listed":0,"syntology":null},{"url":null,"slug":"fedpoirec-privacy-preserving-federated-poi","title":"FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence","date":"2021-12-21","arxiv_id":"2112.11134","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-changing-role-of-entrepreneurial","title":"The Changing Role of Entrepreneurial Universities in the Altering Innovation Policy: Opportunities Arising from the Paradigm Change in Light of the Experience of Széchenyi István University","date":"2021-12-21","arxiv_id":"2112.11499","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-vision-based-solution-for-track","title":"A Vision-based Solution for Track Misalignment Detection","date":"2021-12-20","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"rethinking-importance-weighting-for-transfer","title":"Rethinking Importance Weighting for Transfer Learning","date":"2021-12-19","arxiv_id":"2112.10157","repositories_listed":0,"syntology":null},{"url":null,"slug":"tecm-transfer-evidential-c-means-clustering","title":"TECM: Transfer Learning-based Evidential C-Means Clustering","date":"2021-12-19","arxiv_id":"2112.10152","repositories_listed":0,"syntology":null},{"url":null,"slug":"autotransfer-subject-transfer-learning-with","title":"AutoTransfer: Subject Transfer Learning with Censored Representations on Biosignals Data","date":"2021-12-17","arxiv_id":"2112.09796","repositories_listed":0,"syntology":null},{"url":null,"slug":"human-vehicle-cooperative-visual-perception","title":"Human-vehicle Cooperative Visual Perception for Autonomous Driving under Complex Road and Traffic Scenarios","date":"2021-12-17","arxiv_id":"2112.09298","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-win-lottery-tickets-in-bert","title":"Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training","date":"2021-12-17","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"an-empirical-study-on-transfer-learning-for","title":"An Empirical Study on Transfer Learning for Privilege Review","date":"2021-12-16","arxiv_id":"2112.08606","repositories_listed":0,"syntology":null},{"url":null,"slug":"monitoring-crop-phenology-with-street-level","title":"Monitoring crop phenology with street-level imagery using computer vision","date":"2021-12-16","arxiv_id":"2112.09190","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-shallow-water-dynamics-using-echo","title":"Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning","date":"2021-12-16","arxiv_id":"2112.09182","repositories_listed":0,"syntology":null},{"url":null,"slug":"chimpanzee-voice-prints-insights-from","title":"Chimpanzee voice prints? Insights from transfer learning experiments from human voices","date":"2021-12-15","arxiv_id":"2112.08165","repositories_listed":0,"syntology":null},{"url":null,"slug":"confidence-aware-subject-to-subject-transfer","title":"Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface","date":"2021-12-15","arxiv_id":"2112.09243","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-domain-generalization-and-knowledge","title":"Cross-Domain Generalization and Knowledge Transfer in Transformers Trained on Legal Data","date":"2021-12-15","arxiv_id":"2112.07870","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-tuning-large-neural-language-models-for","title":"Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing","date":"2021-12-15","arxiv_id":"2112.07869","repositories_listed":0,"syntology":null},{"url":null,"slug":"missmarple-a-novel-socio-inspired-feature","title":"MissMarple : A Novel Socio-inspired Feature-transfer Learning Deep Network for Image Splicing Detection","date":"2021-12-15","arxiv_id":"2112.08018","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-system-to-rule-them-all-a-universal","title":"One System to Rule them All: a Universal Intent Recognition System for Customer Service Chatbots","date":"2021-12-15","arxiv_id":"2112.08261","repositories_listed":0,"syntology":null},{"url":null,"slug":"epigenomic-language-models-powered-by","title":"Epigenomic language models powered by Cerebras","date":"2021-12-14","arxiv_id":"2112.07571","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-are-not-models-of-language","title":"Large Language Models are not Models of Natural Language: they are Corpus Models","date":"2021-12-13","arxiv_id":"2112.07055","repositories_listed":0,"syntology":null},{"url":null,"slug":"long-tail-recognition-via-compositional","title":"Long-tail Recognition via Compositional Knowledge Transfer","date":"2021-12-13","arxiv_id":"2112.06741","repositories_listed":0,"syntology":null},{"url":null,"slug":"automated-customization-of-on-thing-inference","title":"Automated Customization of On-Thing Inference for Quality-of-Experience Enhancement","date":"2021-12-11","arxiv_id":"2112.06918","repositories_listed":0,"syntology":null},{"url":null,"slug":"technical-language-supervision-for","title":"Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry","date":"2021-12-11","arxiv_id":"2112.07356","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-using-deep-neural-networks","title":"Transfer learning using deep neural networks for Ear Presentation Attack Detection: New Database for PAD","date":"2021-12-09","arxiv_id":"2112.05237","repositories_listed":0,"syntology":null}],"record_sha256":"41df067baf451241d8662ec1a3e99324cafb091964136524bd9310521f083287","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}