{"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/83","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":83,"pages_in_order":104,"rows_per_page":100,"rows":[8201,8300],"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/82","next":"/task/transfer-learning/papers/84","papers":[{"url":null,"slug":"wechat-neural-machine-translation-systems-for","title":"WeChat Neural Machine Translation Systems for WMT20","date":"2020-10-01","arxiv_id":"2010.00247","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-romanization-for-model-transfer-between","title":"On Romanization for Model Transfer Between Scripts in Neural Machine Translation","date":"2020-09-30","arxiv_id":"2009.14824","repositories_listed":0,"syntology":null},{"url":null,"slug":"stochastic-precision-ensemble-self-knowledge","title":"Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks","date":"2020-09-30","arxiv_id":"2009.14502","repositories_listed":0,"syntology":null},{"url":null,"slug":"training-general-representations-for-remote","title":"Training general representations for remote sensing using in-domain knowledge","date":"2020-09-30","arxiv_id":"2010.00332","repositories_listed":0,"syntology":null},{"url":null,"slug":"ensembles-of-convolutional-neural-networks","title":"Ensembles of Convolutional Neural Networks models for pediatric pneumonia diagnosis","date":"2020-09-29","arxiv_id":"2010.02007","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-device-directedness-classification","title":"Improving Device Directedness Classification of Utterances with Semantic Lexical Features","date":"2020-09-29","arxiv_id":"2010.01949","repositories_listed":0,"syntology":null},{"url":null,"slug":"metamix-improved-meta-learning-with","title":"MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization","date":"2020-09-29","arxiv_id":"2009.13735","repositories_listed":0,"syntology":null},{"url":null,"slug":"the-design-and-implementation-of-language","title":"The design and implementation of Language Learning Chatbot with XAI using Ontology and Transfer Learning","date":"2020-09-29","arxiv_id":"2009.13984","repositories_listed":0,"syntology":null},{"url":null,"slug":"accelerating-multi-model-inference-by-merging","title":"Accelerating Multi-Model Inference by Merging DNNs of Different Weights","date":"2020-09-28","arxiv_id":"2009.13062","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-task-representation-learning-for","title":"Cross-Task Representation Learning for Anatomical Landmark Detection","date":"2020-09-28","arxiv_id":"2009.13635","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-instance-prior-for-transfer-learning-in","title":"Data Instance Prior for Transfer Learning in GANs","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"does-adversarial-transferability-indicate-1","title":"Does Adversarial Transferability Indicate Knowledge Transferability?","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-agnostic-round-optimal-federated-1","title":"Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"model-selection-for-cross-lingual-transfer","title":"Model Selection for Cross-Lingual Transfer using a Learned Scoring Function","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"repaint-knowledge-transfer-in-deep-actor","title":"REPAINT: Knowledge Transfer in Deep Actor-Critic Reinforcement Learning","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":"/paper/scalable-transfer-learning-with-expert-models","slug":"scalable-transfer-learning-with-expert-models","title":"Scalable Transfer Learning with Expert Models","date":"2020-09-28","arxiv_id":"2009.13239","repositories_listed":0,"syntology":null},{"url":null,"slug":"sense-and-learn-self-supervision-for","title":"Sense and Learn: Self-Supervision for Omnipresent Sensors","date":"2020-09-28","arxiv_id":"2009.13233","repositories_listed":0,"syntology":null},{"url":null,"slug":"sim2sg-sim-to-real-scene-graph-generation-for","title":"Sim2SG: Sim-to-Real Scene Graph Generation for Transfer Learning","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-among-agents-an-efficient-multiagent","title":"Transfer among Agents: An Efficient Multiagent Transfer Learning Framework","date":"2020-09-28","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"smart-irrigation-iot-solution-using-transfer","title":"Smart Irrigation IoT Solution using Transfer Learning for Neural Networks","date":"2020-09-27","arxiv_id":"2009.12747","repositories_listed":0,"syntology":null},{"url":null,"slug":"federated-transfer-learning-concept-and","title":"Federated Transfer Learning: concept and applications","date":"2020-09-26","arxiv_id":"2010.15561","repositories_listed":0,"syntology":null},{"url":null,"slug":"generating-realistic-covid19-x-rays-with-a","title":"Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN","date":"2020-09-26","arxiv_id":"2009.12478","repositories_listed":0,"syntology":null},{"url":null,"slug":"democratizing-artificial-intelligence-in","title":"Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning","date":"2020-09-25","arxiv_id":"2009.12437","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-computer-vision-approach-to-combat-lyme","title":"A Computer Vision Approach to Combat Lyme Disease","date":"2020-09-24","arxiv_id":"2009.11931","repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-preserving-transfer-learning-via","title":"Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy","date":"2020-09-24","arxiv_id":"2009.11680","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-by-cascaded-network-to","title":"Transfer Learning by Cascaded Network to identify and classify lung nodules for cancer detection","date":"2020-09-24","arxiv_id":"2009.11587","repositories_listed":0,"syntology":null},{"url":null,"slug":"attention-with-multiple-sources-knowledges","title":"An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images","date":"2020-09-23","arxiv_id":"2009.11008","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-applied-to-chest-x-rays","title":"Deep Learning Applied to Chest X-Rays: Exploiting and Preventing Shortcuts","date":"2020-09-21","arxiv_id":"2009.10132","repositories_listed":0,"syntology":null},{"url":"/paper/generative-imagination-elevates-machine","slug":"generative-imagination-elevates-machine","title":"Generative Imagination Elevates Machine Translation","date":"2020-09-21","arxiv_id":"2009.09654","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-automated-covid-19-grading-with","title":"Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study","date":"2020-09-21","arxiv_id":"2009.09725","repositories_listed":0,"syntology":null},{"url":null,"slug":"wessa-at-semeval-2020-task-9-code-mixed","title":"WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis using Transformers","date":"2020-09-21","arxiv_id":"2009.09879","repositories_listed":0,"syntology":null},{"url":null,"slug":"mars-mixed-virtual-and-real-wearable-sensors","title":"MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model","date":"2020-09-20","arxiv_id":"2009.09404","repositories_listed":0,"syntology":null},{"url":null,"slug":"combining-shape-features-with-multiple-color","title":"Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces","date":"2020-09-19","arxiv_id":"2009.09235","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-transfer-via-pre-training-for","title":"Knowledge Transfer via Pre-training for Recommendation: A Review and Prospect","date":"2020-09-19","arxiv_id":"2009.09226","repositories_listed":0,"syntology":null},{"url":null,"slug":"face-mask-detection-using-transfer-learning","title":"Face Mask Detection using Transfer Learning of InceptionV3","date":"2020-09-17","arxiv_id":"2009.08369","repositories_listed":0,"syntology":null},{"url":null,"slug":"collaborative-group-learning","title":"Collaborative Group Learning","date":"2020-09-16","arxiv_id":"2009.07712","repositories_listed":0,"syntology":null},{"url":null,"slug":"measuring-information-transfer-in-neural","title":"Measuring Information Transfer in Neural Networks","date":"2020-09-16","arxiv_id":"2009.07624","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-deep-reinforcement","title":"Transfer Learning in Deep Reinforcement Learning: A Survey","date":"2020-09-16","arxiv_id":"2009.07888","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-structure-bone-segmentation-in","title":"Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network","date":"2020-09-15","arxiv_id":"2009.07092","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-label-smoothing","title":"Adaptive Label Smoothing","date":"2020-09-14","arxiv_id":"2009.06432","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-with-class-weighted-and","title":"Transfer learning with class-weighted and focal loss function for automatic skin cancer classification","date":"2020-09-13","arxiv_id":"2009.05977","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparison-of-lstm-and-bert-for-small","title":"A Comparison of LSTM and BERT for Small Corpus","date":"2020-09-11","arxiv_id":"2009.05451","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-transfer-learning-for-signal-detection","title":"Deep Transfer Learning for Signal Detection in Ambient Backscatter Communications","date":"2020-09-11","arxiv_id":"2009.05231","repositories_listed":0,"syntology":null},{"url":null,"slug":"pianet-a-pyramid-input-augmented","title":"PiaNet: A pyramid input augmented convolutional neural network for GGO detection in 3D lung CT scans","date":"2020-09-11","arxiv_id":"2009.05267","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-shape-features-and-abstractions-in","title":"Learning Shape Features and Abstractions in 3D Convolutional Neural Networks for Detecting Alzheimer's Disease","date":"2020-09-10","arxiv_id":"2009.05023","repositories_listed":0,"syntology":null},{"url":null,"slug":"privacy-analysis-of-deep-learning-in-the-wild","title":"Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning","date":"2020-09-10","arxiv_id":"2009.04872","repositories_listed":0,"syntology":null},{"url":null,"slug":"swp-leaf-net-a-novel-multistage-approach-for","title":"SWP-LeafNET: A novel multistage approach for plant leaf identification based on deep CNN","date":"2020-09-10","arxiv_id":"2009.05139","repositories_listed":0,"syntology":null},{"url":null,"slug":"diversified-mutual-learning-for-deep-metric","title":"Diversified Mutual Learning for Deep Metric Learning","date":"2020-09-09","arxiv_id":"2009.04170","repositories_listed":0,"syntology":null},{"url":null,"slug":"real-time-plant-health-assessment-via","title":"Real-time Plant Health Assessment Via Implementing Cloud-based Scalable Transfer Learning On AWS DeepLens","date":"2020-09-09","arxiv_id":"2009.04110","repositories_listed":0,"syntology":null},{"url":null,"slug":"kk2018-at-semeval-2020-task-9-adversarial","title":"kk2018 at SemEval-2020 Task 9: Adversarial Training for Code-Mixing Sentiment Classification","date":"2020-09-08","arxiv_id":"2009.03673","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-intelligence-for-outcome-predictions","title":"Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care","date":"2020-09-08","arxiv_id":"2009.03873","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-novel-action-recognition-system-for-smart","title":"A novel action recognition system for smart monitoring of elderly people using Action Pattern Image and Series CNN with transfer learning","date":"2020-09-07","arxiv_id":"2009.03285","repositories_listed":0,"syntology":null},{"url":null,"slug":"data-driven-transferred-energy-management","title":"Data-Driven Transferred Energy Management Strategy for Hybrid Electric Vehicles via Deep Reinforcement Learning","date":"2020-09-07","arxiv_id":"2009.03289","repositories_listed":0,"syntology":null},{"url":null,"slug":"driving-tasks-transfer-in-deep-reinforcement","title":"Driving Tasks Transfer in Deep Reinforcement Learning for Decision-making of Autonomous Vehicles","date":"2020-09-07","arxiv_id":"2009.03268","repositories_listed":0,"syntology":null},{"url":null,"slug":"volatility-forecasting-with-1-dimensional","title":"Volatility Forecasting with 1-dimensional CNNs via transfer learning","date":"2020-09-07","arxiv_id":"2009.05508","repositories_listed":0,"syntology":null},{"url":null,"slug":"banana-at-wnut-2020-task-2-identifying-covid","title":"BANANA at WNUT-2020 Task 2: Identifying COVID-19 Information on Twitter by Combining Deep Learning and Transfer Learning Models","date":"2020-09-06","arxiv_id":"2009.02671","repositories_listed":0,"syntology":null},{"url":null,"slug":"qiaoning-at-semeval-2020-task-4-commonsense","title":"QiaoNing at SemEval-2020 Task 4: Commonsense Validation and Explanation system based on ensemble of language model","date":"2020-09-06","arxiv_id":"2009.02645","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comprehensive-analysis-of-information","title":"A Comprehensive Analysis of Information Leakage in Deep Transfer Learning","date":"2020-09-04","arxiv_id":"2009.01989","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-general-approach-to-bridge-the-reality-gap","title":"A general approach to bridge the reality-gap","date":"2020-09-03","arxiv_id":"2009.01865","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-new-multiple-source-domain-adaptation-fault","title":"A New Multiple Source Domain Adaptation Fault Diagnosis Method between Different Rotating Machines","date":"2020-09-03","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"large-dimensional-analysis-and-improvement-of","title":"Large Dimensional Analysis and Improvement of Multi Task Learning","date":"2020-09-03","arxiv_id":"2009.01591","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-nonlinear-dynamics-and","title":"Transfer learning for nonlinear dynamics and its application to fluid turbulence","date":"2020-09-03","arxiv_id":"2009.01407","repositories_listed":0,"syntology":null},{"url":null,"slug":"breast-mass-detection-in-digital-mammography","title":"Breast mass detection in digital mammography based on anchor-free architecture","date":"2020-09-02","arxiv_id":"2009.00857","repositories_listed":0,"syntology":null},{"url":null,"slug":"problems-in-ai-research-and-how-the-sp-system","title":"Problems in AI research and how the SP System may help to solve them","date":"2020-09-02","arxiv_id":"2009.09079","repositories_listed":0,"syntology":null},{"url":null,"slug":"classification-of-diabetic-retinopathy-using","title":"Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation","date":"2020-09-01","arxiv_id":"2009.00982","repositories_listed":0,"syntology":null},{"url":null,"slug":"cross-lingual-transfer-learning-for-semantic","title":"Cross-lingual Transfer Learning for Semantic Role Labeling in Russian","date":"2020-09-01","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"evaluating-knowledge-transfer-in-neural","title":"Evaluating Knowledge Transfer in Neural Network for Medical Images","date":"2020-08-31","arxiv_id":"2008.13574","repositories_listed":0,"syntology":null},{"url":"/paper/all-about-knowledge-graphs-for-actions","slug":"all-about-knowledge-graphs-for-actions","title":"All About Knowledge Graphs for Actions","date":"2020-08-28","arxiv_id":"2008.12432","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-object-detection-via-knowledge","title":"Few-Shot Object Detection via Knowledge Transfer","date":"2020-08-28","arxiv_id":"2008.12496","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-efficient-deep-learning-for-natural","title":"Knowledge Efficient Deep Learning for Natural Language Processing","date":"2020-08-28","arxiv_id":"2008.12878","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-transfer-learning-of-traditional-frequency","title":"On Transfer Learning of Traditional Frequency and Time Domain Features in Turning","date":"2020-08-28","arxiv_id":"2008.12691","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-flexible-selection-scheme-for-minimum","title":"A Flexible Selection Scheme for Minimum-Effort Transfer Learning","date":"2020-08-27","arxiv_id":"2008.11995","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptively-accumulated-knowledge-transfer-for","title":"Adaptively-Accumulated Knowledge Transfer for Partial Domain Adaptation","date":"2020-08-27","arxiv_id":"2008.11873","repositories_listed":0,"syntology":null},{"url":null,"slug":"an-end-to-end-attack-on-text-based-captchas","title":"An End-to-End Attack on Text-based CAPTCHAs Based on Cycle-Consistent Generative Adversarial Network","date":"2020-08-26","arxiv_id":"2008.11603","repositories_listed":0,"syntology":null},{"url":null,"slug":"attr2style-a-transfer-learning-approach-for","title":"Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes","date":"2020-08-26","arxiv_id":"2008.11662","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangled-adversarial-autoencoder-for","title":"Disentangled Adversarial Autoencoder for Subject-Invariant Physiological Feature Extraction","date":"2020-08-26","arxiv_id":"2008.11426","repositories_listed":0,"syntology":null},{"url":null,"slug":"3d-for-free-crossmodal-transfer-learning","title":"3D for Free: Crossmodal Transfer Learning using HD Maps","date":"2020-08-24","arxiv_id":"2008.10592","repositories_listed":0,"syntology":null},{"url":null,"slug":"variable-compliance-control-for-robotic-peg","title":"Variable Compliance Control for Robotic Peg-in-Hole Assembly: A Deep Reinforcement Learning Approach","date":"2020-08-24","arxiv_id":"2008.10224","repositories_listed":0,"syntology":null},{"url":null,"slug":"learn-to-talk-via-proactive-knowledge","title":"Learn to Talk via Proactive Knowledge Transfer","date":"2020-08-23","arxiv_id":"2008.10077","repositories_listed":0,"syntology":null},{"url":null,"slug":"multi-kernel-passive-stochastic-gradient","title":"Multi-kernel Passive Stochastic Gradient Algorithms and Transfer Learning","date":"2020-08-23","arxiv_id":"2008.10020","repositories_listed":0,"syntology":null},{"url":null,"slug":"predicting-helpfulness-of-online-reviews","title":"Predicting Helpfulness of Online Reviews","date":"2020-08-23","arxiv_id":"2008.10129","repositories_listed":0,"syntology":null},{"url":"/paper/a-benchmark-for-studying-diabetic-retinopathy","slug":"a-benchmark-for-studying-diabetic-retinopathy","title":"A Benchmark for Studying Diabetic Retinopathy: Segmentation, Grading, and Transferability","date":"2020-08-22","arxiv_id":"2008.09772","repositories_listed":0,"syntology":null},{"url":null,"slug":"few-shot-learning-with-intra-class-knowledge","title":"Few-Shot Learning with Intra-Class Knowledge Transfer","date":"2020-08-22","arxiv_id":"2008.09892","repositories_listed":0,"syntology":null},{"url":null,"slug":"graph-neural-networks-for-unsuperviseddomain","title":"Graph Neural Networks for UnsupervisedDomain Adaptation of Histopathological ImageAnalytics","date":"2020-08-21","arxiv_id":"2008.09304","repositories_listed":0,"syntology":null},{"url":null,"slug":"learning-to-profile-user-meta-profile-network","title":"Learning to Profile: User Meta-Profile Network for Few-Shot Learning","date":"2020-08-21","arxiv_id":"2008.12258","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-multi-channel-event-segmentation-and","title":"Adaptive multi-channel event segmentation and feature extraction for monitoring health outcomes","date":"2020-08-20","arxiv_id":"2008.09215","repositories_listed":0,"syntology":null},{"url":null,"slug":"physically-constrained-transfer-learning","title":"Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification","date":"2020-08-19","arxiv_id":"2008.08563","repositories_listed":0,"syntology":null},{"url":null,"slug":"contact-area-detector-using-cross-view","title":"Contact Area Detector using Cross View Projection Consistency for COVID-19 Projects","date":"2020-08-18","arxiv_id":"2008.07712","repositories_listed":0,"syntology":null},{"url":null,"slug":"transferring-complementary-operating","title":"Unsupervised Transfer Learning for Anomaly Detection: Application to Complementary Operating Condition Transfer","date":"2020-08-18","arxiv_id":"2008.07815","repositories_listed":0,"syntology":null},{"url":null,"slug":"siloed-federated-learning-for-multi-centric","title":"Siloed Federated Learning for Multi-Centric Histopathology Datasets","date":"2020-08-17","arxiv_id":"2008.07424","repositories_listed":0,"syntology":null},{"url":null,"slug":"topicbert-a-transformer-transfer-learning","title":"TopicBERT: A Transformer transfer learning based memory-graph approach for multimodal streaming social media topic detection","date":"2020-08-16","arxiv_id":"2008.06877","repositories_listed":0,"syntology":null},{"url":null,"slug":"hate-speech-detection-and-racial-bias","title":"Hate Speech Detection and Racial Bias Mitigation in Social Media based on BERT model","date":"2020-08-14","arxiv_id":"2008.06460","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-models-as-few-shot-learner-for-task","title":"Language Models as Few-Shot Learner for Task-Oriented Dialogue Systems","date":"2020-08-14","arxiv_id":"2008.06239","repositories_listed":0,"syntology":null},{"url":null,"slug":"not-3d-re-id-a-simple-single-stream-2d","title":"Not 3D Re-ID: a Simple Single Stream 2D Convolution for Robust Video Re-identification","date":"2020-08-14","arxiv_id":"2008.06318","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-transfer-learning-for-low","title":"Large-scale Transfer Learning for Low-resource Spoken Language Understanding","date":"2020-08-13","arxiv_id":"2008.05671","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-unsupervised-crowd-counting-via","title":"Towards Unsupervised Crowd Counting via Regression-Detection Bi-knowledge Transfer","date":"2020-08-12","arxiv_id":"2008.05383","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-approaches-for-streaming","title":"Transfer Learning Approaches for Streaming End-to-End Speech Recognition System","date":"2020-08-12","arxiv_id":"2008.05086","repositories_listed":0,"syntology":null},{"url":null,"slug":"efficient-integration-of-multi-channel","title":"Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation","date":"2020-08-11","arxiv_id":"2005.11612","repositories_listed":0,"syntology":null},{"url":null,"slug":"model-based-deep-reinforcement-learning-for-1","title":"Deep Model-Based Reinforcement Learning for High-Dimensional Problems, a Survey","date":"2020-08-11","arxiv_id":"2008.05598","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-for-many-transfer-learning-for-building","title":"One for Many: Transfer Learning for Building HVAC Control","date":"2020-08-09","arxiv_id":"2008.03625","repositories_listed":0,"syntology":null}],"record_sha256":"1e8820ab5f21fa0550d5657c2915b171b10f5ddfd8adc32cdd2e3842eead1cf4","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}