SOTAVerified

Transfer Learning

Transfer Learning is a machine learning technique where a model trained on one task is re-purposed and fine-tuned for a related, but different task. The idea behind transfer learning is to leverage the knowledge learned from a pre-trained model to solve a new, but related problem. This can be useful in situations where there is limited data available to train a new model from scratch, or when the new task is similar enough to the original task that the pre-trained model can be adapted to the new problem with only minor modifications.

( Image credit: Subodh Malgonde )

Papers

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Showing 751–800 of 10307 papers

TitleStatusHype
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion AnalysisCode1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Adapting Pre-trained Vision Transformers from 2D to 3D through Weight Inflation Improves Medical Image SegmentationCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated LearningCode1
Federated Continual Learning with Weighted Inter-client TransferCode1
KNOT: Knowledge Distillation using Optimal Transport for Solving NLP TasksCode1
Benchmarking Detection Transfer Learning with Vision TransformersCode1
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect DetectionCode1
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language ModelsCode1
Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple ClassifierCode1
AKHCRNet: Bengali Handwritten Character Recognition Using Deep LearningCode1
Few-shot Neural Architecture SearchCode1
Few-Shot Transfer Learning for Device-Free Fingerprinting Indoor LocalizationCode1
FG-Net: Fast Large-Scale LiDAR Point Clouds Understanding Network Leveraging Correlated Feature Mining and Geometric-Aware ModellingCode1
ACN: Adversarial Co-training Network for Brain Tumor Segmentation with Missing ModalitiesCode1
Pre-training technique to localize medical BERT and enhance biomedical BERTCode1
Finite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEsCode1
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image ClassificationCode1
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy SearchCode1
Flight Contrail Segmentation via Augmented Transfer Learning with Novel SR Loss Function in Hough SpaceCode1
Florence: A New Foundation Model for Computer VisionCode1
Flowing Datasets with Wasserstein over Wasserstein Gradient FlowsCode1
Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from TransformerCode1
Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed AdaptationCode1
Fine-grained Prompt Tuning: A Parameter and Memory Efficient Transfer Learning Method for High-resolution Medical Image ClassificationCode1
Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANsCode1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
From Speaker Verification to Multispeaker Speech Synthesis, Deep Transfer with Feedback ConstraintCode1
An Improved Person Re-identification Method by light-weight convolutional neural networkCode1
AD-KD: Attribution-Driven Knowledge Distillation for Language Model CompressionCode1
BadMerging: Backdoor Attacks Against Model MergingCode1
Functional optimal transport: map estimation and domain adaptation for functional dataCode1
AD-L-JEPA: Self-Supervised Spatial World Models with Joint Embedding Predictive Architecture for Autonomous Driving with LiDAR DataCode1
GEAL: Generalizable 3D Affordance Learning with Cross-Modal ConsistencyCode1
Gender Bias in Multilingual Embeddings and Cross-Lingual TransferCode1
Generalisation Guarantees for Continual Learning with Orthogonal Gradient DescentCode1
Generalized Few-Shot Object Detection without ForgettingCode1
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology ReportsCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
GEOM: Energy-annotated molecular conformations for property prediction and molecular generationCode1
Geometric Knowledge Distillation: Topology Compression for Graph Neural NetworksCode1
GitHub is an effective platform for collaborative and reproducible laboratory researchCode1
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingCode1
GOAL: A Generalist Combinatorial Optimization Agent LearningCode1
Going deeper with Image TransformersCode1
Golos: Russian Dataset for Speech ResearchCode1
BARThez: a Skilled Pretrained French Sequence-to-Sequence ModelCode1
A Whisper transformer for audio captioning trained with synthetic captions and transfer learningCode1
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All datasetsOffice-Home100 sleep nights of 8 caregiversBanglaLekha Isolated DatasetCOCO70KITTI Object Tracking Evaluation 2012Retinal Fundus MultiDisease Image Dataset (RFMiD)

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1APCLIPAccuracy84.2—Unverified
2DFA-ENTAccuracy69.2—Unverified
3DFA-SAFNAccuracy69.1—Unverified
4EasyTLAccuracy63.3—Unverified
5MEDAAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CNN10-20% Mask PSNR3.23—Unverified
#ModelMetricClaimedVerifiedStatus
1Chatterjee, Dutta et al.[1]Accuracy96.12—Unverified
#ModelMetricClaimedVerifiedStatus
1Co-TuningAccuracy85.65—Unverified
#ModelMetricClaimedVerifiedStatus
1Physical AccessEER5.74—Unverified
#ModelMetricClaimedVerifiedStatus
1riadd.aucmediAUROC0.95—Unverified