{"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/53","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":53,"pages_in_order":104,"rows_per_page":100,"rows":[5201,5300],"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/52","next":"/task/transfer-learning/papers/54","papers":[{"url":null,"slug":"transfer-learning-in-robotics-an-upcoming","title":"Transfer Learning in Robotics: An Upcoming Breakthrough? A Review of Promises and Challenges","date":"2023-11-29","arxiv_id":"2311.18044","repositories_listed":0,"syntology":null},{"url":null,"slug":"empowering-covid-19-detection-optimizing","title":"Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture","date":"2023-11-28","arxiv_id":"2311.16593","repositories_listed":0,"syntology":null},{"url":null,"slug":"exo2egodvc-dense-video-captioning-of","title":"Exo2EgoDVC: Dense Video Captioning of Egocentric Procedural Activities Using Web Instructional Videos","date":"2023-11-28","arxiv_id":"2311.16444","repositories_listed":0,"syntology":null},{"url":null,"slug":"fedal-black-box-federated-knowledge","title":"FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning","date":"2023-11-28","arxiv_id":"2311.16584","repositories_listed":0,"syntology":null},{"url":null,"slug":"natural-language-processing-through-transfer","title":"Natural Language Processing Through Transfer Learning: A Case Study on Sentiment Analysis","date":"2023-11-28","arxiv_id":"2311.16965","repositories_listed":0,"syntology":null},{"url":null,"slug":"2312-09436","title":"Temporal Transfer Learning for Traffic Optimization with Coarse-grained Advisory Autonomy","date":"2023-11-27","arxiv_id":"2312.09436","repositories_listed":0,"syntology":null},{"url":null,"slug":"adinkra-symbol-recognition-using-classical","title":"Adinkra Symbol Recognition using Classical Machine Learning and Deep Learning","date":"2023-11-27","arxiv_id":"2311.15728","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-based-jamun-leaf-disease","title":"Machine Learning-Based Jamun Leaf Disease Detection: A Comprehensive Review","date":"2023-11-27","arxiv_id":"2311.15741","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-transfer-learning-for-large-scale","title":"Towards Transfer Learning for Large-Scale Image Classification Using Annealing-based Quantum Boltzmann Machines","date":"2023-11-27","arxiv_id":"2311.15966","repositories_listed":0,"syntology":null},{"url":null,"slug":"transformer-qec-quantum-error-correction-code","title":"Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers","date":"2023-11-27","arxiv_id":"2311.16082","repositories_listed":0,"syntology":null},{"url":null,"slug":"dual-stream-contrastive-predictive-network","title":"Dual-stream contrastive predictive network with joint handcrafted feature view for SAR ship classification","date":"2023-11-26","arxiv_id":"2311.15202","repositories_listed":0,"syntology":null},{"url":null,"slug":"how-much-data-do-i-need-a-case-study-on","title":"How much data do I need? A case study on medical data","date":"2023-11-26","arxiv_id":"2311.15331","repositories_listed":0,"syntology":null},{"url":null,"slug":"untargeted-code-authorship-evasion-with","title":"Untargeted Code Authorship Evasion with Seq2Seq Transformation","date":"2023-11-26","arxiv_id":"2311.15366","repositories_listed":0,"syntology":null},{"url":null,"slug":"nlpbdpatriots-at-blp-2023-task-2-a-transfer","title":"nlpBDpatriots at BLP-2023 Task 2: A Transfer Learning Approach to Bangla Sentiment Analysis","date":"2023-11-25","arxiv_id":"2311.15032","repositories_listed":0,"syntology":null},{"url":null,"slug":"one-shot-transfer-learning-for-nonlinear-odes","title":"One-Shot Transfer Learning for Nonlinear ODEs","date":"2023-11-25","arxiv_id":"2311.14931","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-reusable-ai-enabled-defect-detection-system","title":"A Reusable AI-Enabled Defect Detection System for Railway Using Ensembled CNN","date":"2023-11-24","arxiv_id":"2311.14824","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-translation-for-ge-ez-language","title":"Machine Translation for Ge'ez Language","date":"2023-11-24","arxiv_id":"2311.14530","repositories_listed":0,"syntology":null},{"url":null,"slug":"zerops-high-quality-cross-modal-knowledge","title":"ZeroPS: High-quality Cross-modal Knowledge Transfer for Zero-Shot 3D Part Segmentation","date":"2023-11-24","arxiv_id":"2311.14262","repositories_listed":0,"syntology":null},{"url":null,"slug":"bridging-classical-and-quantum-machine","title":"Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation","date":"2023-11-23","arxiv_id":"2311.13810","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-distillation-based-semantic","title":"Knowledge Distillation Based Semantic Communications For Multiple Users","date":"2023-11-23","arxiv_id":"2311.13789","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-the-hyperparameter-landscapes-of-machine","title":"On the Hyperparameter Loss Landscapes of Machine Learning Models: An Exploratory Study","date":"2023-11-23","arxiv_id":"2311.14014","repositories_listed":0,"syntology":null},{"url":null,"slug":"video-anomaly-detection-using-gan","title":"Video Anomaly Detection using GAN","date":"2023-11-23","arxiv_id":"2311.14095","repositories_listed":0,"syntology":null},{"url":null,"slug":"end-to-end-transfer-learning-for-speaker","title":"End-to-end transfer learning for speaker-independent cross-language and cross-corpus speech emotion recognition","date":"2023-11-22","arxiv_id":"2311.13678","repositories_listed":0,"syntology":null},{"url":null,"slug":"knowledge-from-the-dark-side-entropy","title":"EA-KD: Entropy-based Adaptive Knowledge Distillation","date":"2023-11-22","arxiv_id":"2311.13621","repositories_listed":0,"syntology":null},{"url":null,"slug":"recurrent-neural-networks-and-transfer","title":"Recurrent neural networks and transfer learning for elasto-plasticity in woven composites","date":"2023-11-22","arxiv_id":"2311.13434","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-based-real-time-handgun","title":"Transfer Learning-based Real-time Handgun Detection","date":"2023-11-22","arxiv_id":"2311.13559","repositories_listed":0,"syntology":null},{"url":null,"slug":"digital-twin-framework-for-optimal-and","title":"Digital Twin Framework for Optimal and Autonomous Decision-Making in Cyber-Physical Systems: Enhancing Reliability and Adaptability in the Oil and Gas Industry","date":"2023-11-21","arxiv_id":"2311.12755","repositories_listed":0,"syntology":null},{"url":null,"slug":"improving-source-free-target-adaptation-with","title":"Improving Source-Free Target Adaptation with Vision Transformers Leveraging Domain Representation Images","date":"2023-11-21","arxiv_id":"2311.12589","repositories_listed":0,"syntology":null},{"url":null,"slug":"interact-transformer-models-for-human-intent","title":"InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions","date":"2023-11-21","arxiv_id":"2311.12943","repositories_listed":0,"syntology":null},{"url":null,"slug":"revisiting-the-domain-shift-and-sample","title":"Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer","date":"2023-11-21","arxiv_id":"2311.12905","repositories_listed":0,"syntology":null},{"url":null,"slug":"event-camera-data-dense-pre-training","title":"Event Camera Data Dense Pre-training","date":"2023-11-20","arxiv_id":"2311.11533","repositories_listed":0,"syntology":null},{"url":null,"slug":"open-set-dandelion-network-for-iot-intrusion","title":"Open Set Dandelion Network for IoT Intrusion Detection","date":"2023-11-19","arxiv_id":"2311.11249","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-interpretable-by-design-deep-learning","title":"Towards interpretable-by-design deep learning algorithms","date":"2023-11-19","arxiv_id":"2311.11396","repositories_listed":0,"syntology":null},{"url":null,"slug":"bit-cipher-a-simple-yet-powerful-word","title":"Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models","date":"2023-11-18","arxiv_id":"2311.11012","repositories_listed":0,"syntology":null},{"url":null,"slug":"gendec-a-machine-learning-based-framework-for","title":"Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names","date":"2023-11-18","arxiv_id":"2311.11001","repositories_listed":0,"syntology":null},{"url":null,"slug":"towards-robust-and-accurate-visual-prompting","title":"Towards Robust and Accurate Visual Prompting","date":"2023-11-18","arxiv_id":"2311.10992","repositories_listed":0,"syntology":null},{"url":null,"slug":"physics-enhanced-multi-fidelity-learning-for","title":"Physics-Enhanced Multi-fidelity Learning for Optical Surface Imprint","date":"2023-11-17","arxiv_id":"2311.10278","repositories_listed":0,"syntology":null},{"url":null,"slug":"spacnn-ldvae-spatial-attention-convolutional","title":"SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing","date":"2023-11-17","arxiv_id":"2311.10701","repositories_listed":0,"syntology":null},{"url":null,"slug":"using-guided-transfer-learning-to-predispose","title":"Using Guided Transfer Learning to Predispose AI Agent to Learn Efficiently from Small RNA-sequencing Datasets","date":"2023-11-17","arxiv_id":"2311.12045","repositories_listed":0,"syntology":null},{"url":null,"slug":"harnessing-transformers-a-leap-forward-in","title":"Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection","date":"2023-11-16","arxiv_id":"2311.09942","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-the-impact-of-weight-sharing","title":"Investigating the Impact of Weight Sharing Decisions on Knowledge Transfer in Continual Learning","date":"2023-11-16","arxiv_id":"2311.09506","repositories_listed":0,"syntology":null},{"url":null,"slug":"network-wide-evacuation-traffic-prediction-in","title":"Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach","date":"2023-11-16","arxiv_id":"2311.09498","repositories_listed":0,"syntology":null},{"url":null,"slug":"tabular-few-shot-generalization-across","title":"Tabular Few-Shot Generalization Across Heterogeneous Feature Spaces","date":"2023-11-16","arxiv_id":"2311.10051","repositories_listed":0,"syntology":null},{"url":null,"slug":"peer-is-your-pillar-a-data-unbalanced","title":"Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation","date":"2023-11-14","arxiv_id":"2311.08217","repositories_listed":0,"syntology":null},{"url":null,"slug":"unlock-the-power-competitive-distillation-for","title":"Unlock the Power: Competitive Distillation for Multi-Modal Large Language Models","date":"2023-11-14","arxiv_id":"2311.08213","repositories_listed":0,"syntology":null},{"url":null,"slug":"c-procgen-empowering-procgen-with","title":"C-Procgen: Empowering Procgen with Controllable Contexts","date":"2023-11-13","arxiv_id":"2311.07312","repositories_listed":0,"syntology":null},{"url":null,"slug":"fedopenhar-federated-multi-task-transfer","title":"FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition","date":"2023-11-13","arxiv_id":"2311.07765","repositories_listed":0,"syntology":null},{"url":null,"slug":"fine-tuning-the-retrieval-mechanism-for","title":"Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning","date":"2023-11-13","arxiv_id":"2311.07343","repositories_listed":0,"syntology":null},{"url":null,"slug":"pics-in-pics-physics-informed-contour","title":"PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation","date":"2023-11-13","arxiv_id":"2311.07002","repositories_listed":0,"syntology":null},{"url":null,"slug":"tiago-rl-simulated-reinforcement-learning","title":"TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots","date":"2023-11-13","arxiv_id":"2311.07260","repositories_listed":0,"syntology":null},{"url":"/paper/vgsg-vision-guided-semantic-group-network-for","slug":"vgsg-vision-guided-semantic-group-network-for","title":"VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search","date":"2023-11-13","arxiv_id":"2311.07514","repositories_listed":0,"syntology":null},{"url":null,"slug":"pfedes-model-heterogeneous-personalized","title":"pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing","date":"2023-11-12","arxiv_id":"2311.06879","repositories_listed":0,"syntology":null},{"url":null,"slug":"sharing-teaching-and-aligning-knowledgeable","title":"Sharing, Teaching and Aligning: Knowledgeable Transfer Learning for Cross-Lingual Machine Reading Comprehension","date":"2023-11-12","arxiv_id":"2311.06758","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-to-detect-covid-19-coughs","title":"Transfer Learning to Detect COVID-19 Coughs with Incremental Addition of Patient Coughs to Healthy People's Cough Detection Models","date":"2023-11-12","arxiv_id":"2311.06707","repositories_listed":0,"syntology":null},{"url":null,"slug":"l3-ensembles-lifelong-learning-approach-for","title":"L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models","date":"2023-11-11","arxiv_id":"2311.06493","repositories_listed":0,"syntology":null},{"url":null,"slug":"adaptive-variance-thresholding-a-novel","title":"Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification","date":"2023-11-10","arxiv_id":"2311.05799","repositories_listed":0,"syntology":null},{"url":null,"slug":"comparing-male-nyala-and-male-kudu","title":"Comparing Male Nyala and Male Kudu Classification using Transfer Learning with ResNet-50 and VGG-16","date":"2023-11-10","arxiv_id":"2311.05981","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-segmentation-of-fibrous-cap-in","title":"Deep learning segmentation of fibrous cap in intravascular optical coherence tomography images","date":"2023-11-10","arxiv_id":"2311.06202","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-structured-pruning","title":"Transfer Learning for Structured Pruning under Limited Task Data","date":"2023-11-10","arxiv_id":"2311.06382","repositories_listed":0,"syntology":null},{"url":null,"slug":"carbnn-a-novel-active-transfer-learning","title":"CarbNN: A Novel Active Transfer Learning Neural Network To Build De Novo Metal Organic Frameworks (MOFs) for Carbon Capture","date":"2023-11-09","arxiv_id":"2311.16158","repositories_listed":0,"syntology":null},{"url":null,"slug":"deep-learning-architecture-for-network","title":"Adaptive Compression-Aware Split Learning and Inference for Enhanced Network Efficiency","date":"2023-11-09","arxiv_id":"2311.05739","repositories_listed":0,"syntology":null},{"url":null,"slug":"disentangling-quantum-and-classical","title":"Disentangling Quantum and Classical Contributions in Hybrid Quantum Machine Learning Architectures","date":"2023-11-09","arxiv_id":"2311.05559","repositories_listed":0,"syntology":null},{"url":null,"slug":"enhancing-instance-level-image-classification","title":"Enhancing Instance-Level Image Classification with Set-Level Labels","date":"2023-11-09","arxiv_id":"2311.05659","repositories_listed":0,"syntology":null},{"url":null,"slug":"generalization-in-medical-ai-a-perspective-on","title":"Generalization in medical AI: a perspective on developing scalable models","date":"2023-11-09","arxiv_id":"2311.05418","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-comparative-study-of-knowledge-transfer","title":"Supervised domain adaptation for building extraction from off-nadir aerial images","date":"2023-11-07","arxiv_id":"2311.03867","repositories_listed":0,"syntology":null},{"url":null,"slug":"elastic-information-bottleneck-1","title":"Elastic Information Bottleneck","date":"2023-11-07","arxiv_id":"2311.03955","repositories_listed":0,"syntology":null},{"url":null,"slug":"language-representation-projection-can-we","title":"Language Representation Projection: Can We Transfer Factual Knowledge across Languages in Multilingual Language Models?","date":"2023-11-07","arxiv_id":"2311.03788","repositories_listed":0,"syntology":null},{"url":null,"slug":"sparse-contrastive-learning-of-sentence","title":"Sparse Contrastive Learning of Sentence Embeddings","date":"2023-11-07","arxiv_id":"2311.03881","repositories_listed":0,"syntology":null},{"url":null,"slug":"machine-learning-based-tea-leaf-disease","title":"Machine Learning-Based Tea Leaf Disease Detection: A Comprehensive Review","date":"2023-11-06","arxiv_id":"2311.03240","repositories_listed":0,"syntology":null},{"url":null,"slug":"quantifying-the-value-of-information-transfer","title":"Quantifying the value of information transfer in population-based SHM","date":"2023-11-06","arxiv_id":"2311.03083","repositories_listed":0,"syntology":null},{"url":null,"slug":"risk-of-transfer-learning-and-its","title":"Risk of Transfer Learning and its Applications in Finance","date":"2023-11-06","arxiv_id":"2311.03283","repositories_listed":0,"syntology":null},{"url":null,"slug":"cdr-adapter-learning-adapters-to-dig-out-more","title":"CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models","date":"2023-11-04","arxiv_id":"2311.02398","repositories_listed":0,"syntology":null},{"url":null,"slug":"capturing-local-and-global-features-in","title":"Capturing Local and Global Features in Medical Images by Using Ensemble CNN-Transformer","date":"2023-11-03","arxiv_id":"2311.01731","repositories_listed":0,"syntology":null},{"url":null,"slug":"chex-nomaly-segmenting-lung-abnormalities","title":"CheX-Nomaly: Segmenting Lung Abnormalities from Chest Radiographs using Machine Learning","date":"2023-11-03","arxiv_id":"2311.01777","repositories_listed":0,"syntology":null},{"url":null,"slug":"determination-of-droplet-size-from-wide-angle","title":"Determination of droplet size from wide-angle light scattering image data using convolutional neural networks","date":"2023-11-03","arxiv_id":"2311.03387","repositories_listed":0,"syntology":null},{"url":null,"slug":"lotus-continual-imitation-learning-for-robot","title":"LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery","date":"2023-11-03","arxiv_id":"2311.02058","repositories_listed":0,"syntology":null},{"url":null,"slug":"use-of-deep-neural-networks-for-uncertain","title":"Use of Deep Neural Networks for Uncertain Stress Functions with Extensions to Impact Mechanics","date":"2023-11-03","arxiv_id":"2311.16135","repositories_listed":0,"syntology":null},{"url":null,"slug":"vicinal-risk-minimization-for-few-shot-cross","title":"Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection","date":"2023-11-03","arxiv_id":"2311.02025","repositories_listed":0,"syntology":null},{"url":null,"slug":"what-makes-pre-trained-visual-representations","title":"What Makes Pre-Trained Visual Representations Successful for Robust Manipulation?","date":"2023-11-03","arxiv_id":"2312.12444","repositories_listed":0,"syntology":null},{"url":null,"slug":"adversary-ml-resilience-in-autonomous-driving","title":"Adversary ML Resilience in Autonomous Driving Through Human Centered Perception Mechanisms","date":"2023-11-02","arxiv_id":"2311.01478","repositories_listed":0,"syntology":null},{"url":null,"slug":"expanding-expressiveness-of-diffusion-models","title":"Expanding Expressiveness of Diffusion Models with Limited Data via Self-Distillation based Fine-Tuning","date":"2023-11-02","arxiv_id":"2311.01018","repositories_listed":0,"syntology":null},{"url":null,"slug":"scattering-vision-transformer-spectral-mixing","title":"Scattering Vision Transformer: Spectral Mixing Matters","date":"2023-11-02","arxiv_id":"2311.01310","repositories_listed":0,"syntology":null},{"url":null,"slug":"tlmcm-network-for-medical-image-hierarchical","title":"TLMCM Network for Medical Image Hierarchical Multi-Label Classification","date":"2023-11-01","arxiv_id":"2311.00282","repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-for-improved","title":"Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations","date":"2023-11-01","arxiv_id":"2311.00578","repositories_listed":0,"syntology":null},{"url":null,"slug":"zeetad-adapting-pretrained-vision-language","title":"ZEETAD: Adapting Pretrained Vision-Language Model for Zero-Shot End-to-End Temporal Action Detection","date":"2023-11-01","arxiv_id":"2311.00729","repositories_listed":0,"syntology":null},{"url":null,"slug":"dynamically-updating-event-representations-1","title":"Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning","date":"2023-10-31","arxiv_id":"2310.20236","repositories_listed":0,"syntology":null},{"url":null,"slug":"investigating-relative-performance-of","title":"Investigating Relative Performance of Transfer and Meta Learning","date":"2023-10-31","arxiv_id":"2311.00727","repositories_listed":0,"syntology":null},{"url":null,"slug":"self-supervised-pre-training-for","title":"Self-Supervised Pre-Training for Precipitation Post-Processor","date":"2023-10-31","arxiv_id":"2310.20187","repositories_listed":0,"syntology":null},{"url":null,"slug":"adapter-pruning-using-tropical","title":"Adapter Pruning using Tropical Characterization","date":"2023-10-30","arxiv_id":"2310.19232","repositories_listed":0,"syntology":null},{"url":null,"slug":"mentor-human-perception-guided-pretraining","title":"MENTOR: Human Perception-Guided Pretraining for Increased Generalization","date":"2023-10-30","arxiv_id":"2310.19545","repositories_listed":0,"syntology":null},{"url":null,"slug":"on-consequences-of-finetuning-on-data-with","title":"On consequences of finetuning on data with highly discriminative features","date":"2023-10-30","arxiv_id":"2310.19537","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-foundational-neural-operator-that","title":"A foundational neural operator that continuously learns without forgetting","date":"2023-10-29","arxiv_id":"2310.18885","repositories_listed":0,"syntology":null},{"url":null,"slug":"a-transfer-learning-approach-with","title":"A transfer learning approach with convolutional neural network for Face Mask Detection","date":"2023-10-29","arxiv_id":"2310.18928","repositories_listed":0,"syntology":null},{"url":null,"slug":"automaton-distillation-neuro-symbolic","title":"Automaton Distillation: Neuro-Symbolic Transfer Learning for Deep Reinforcement Learning","date":"2023-10-29","arxiv_id":"2310.19137","repositories_listed":0,"syntology":null},{"url":"/paper/rckd-response-based-cross-task-knowledge","slug":"rckd-response-based-cross-task-knowledge","title":"RCKD: Response-Based Cross-Task Knowledge Distillation for Pathological Image Analysis","date":"2023-10-29","arxiv_id":null,"repositories_listed":0,"syntology":null},{"url":null,"slug":"transfer-learning-in-transformer-based-demand","title":"Transfer Learning in Transformer-Based Demand Forecasting For Home Energy Management System","date":"2023-10-29","arxiv_id":"2310.19159","repositories_listed":0,"syntology":null},{"url":null,"slug":"large-scale-foundation-models-and-generative","title":"Large-scale Foundation Models and Generative AI for BigData Neuroscience","date":"2023-10-27","arxiv_id":"2310.18377","repositories_listed":0,"syntology":null},{"url":null,"slug":"parameter-efficient-methods-for-metastases","title":"Parameter-Efficient Methods for Metastases Detection from Clinical Notes","date":"2023-10-27","arxiv_id":"2310.18472","repositories_listed":0,"syntology":null},{"url":null,"slug":"can-llms-grade-short-answer-reading","title":"Can LLMs Grade Short-Answer Reading Comprehension Questions : An Empirical Study with a Novel Dataset","date":"2023-10-26","arxiv_id":"2310.18373","repositories_listed":0,"syntology":null},{"url":null,"slug":"de-novo-chemical-reaction-generation-by-means","title":"De-novo Chemical Reaction Generation by Means of Temporal Convolutional Neural Networks","date":"2023-10-26","arxiv_id":"2310.17341","repositories_listed":0,"syntology":null}],"record_sha256":"d02417cc72f069b8f731a29c51de781931cf57bc9117c359c141dccf9f0492ab","record_changed_at":"2026-09-28","record_changed_at_basis":"first_hashed"}