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 251–300 of 10307 papers

TitleStatusHype
A Simple Baseline for Bayesian Uncertainty in Deep LearningCode1
Continual Sequence Generation with Adaptive Compositional ModulesCode1
A Simple and Robust Framework for Cross-Modality Medical Image Segmentation applied to Vision TransformersCode1
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer LearningCode1
An Improved Person Re-identification Method by light-weight convolutional neural networkCode1
Abstractive Summarization of Spoken and Written Instructions with BERTCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIPCode1
A New Knowledge Distillation Network for Incremental Few-Shot Surface Defect DetectionCode1
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task LearningCode1
CleanNet: Transfer Learning for Scalable Image Classifier Training with Label NoiseCode1
Class-relation Knowledge Distillation for Novel Class DiscoveryCode1
CLiMB: A Continual Learning Benchmark for Vision-and-Language TasksCode1
CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imageryCode1
A Simple yet Effective Framework for Few-Shot Aspect-Based Sentiment AnalysisCode1
A Convolutional LSTM based Residual Network for Deepfake Video DetectionCode1
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural NetworksCode1
An Evaluation of Self-Supervised Pre-Training for Skin-Lesion AnalysisCode1
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature SelectionCode1
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer LearningCode1
An Encoder-Decoder Based Audio Captioning System With Transfer and Reinforcement LearningCode1
Continual learning with hypernetworksCode1
An Ensemble Approach for Automated Theorem Proving Based on Efficient Name Invariant Graph Neural RepresentationsCode1
An Empirical Study on Cross-X Transfer for Legal Judgment PredictionCode1
Boosting Memory Efficiency in Transfer Learning for High-Resolution Medical Image ClassificationCode1
An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot LabelsCode1
A Broader Study of Cross-Domain Few-Shot LearningCode1
Classification of Large-Scale High-Resolution SAR Images with Deep Transfer LearningCode1
CL-ReLKT: Cross-lingual Language Knowledge Transfer for Multilingual Retrieval Question AnsweringCode1
Componential Prompt-Knowledge Alignment for Domain Incremental LearningCode1
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data FormatCode1
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsCode1
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningCode1
CFA: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly LocalizationCode1
CEM500K – A large-scale heterogeneous unlabeled cellular electron microscopy image dataset for deep learningCode1
Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic VehiclesCode1
Chip Placement with Deep Reinforcement LearningCode1
A Comprehensive Survey on Transfer LearningCode1
Anatomical Foundation Models for Brain MRIsCode1
CARLANE: A Lane Detection Benchmark for Unsupervised Domain Adaptation from Simulation to multiple Real-World DomainsCode1
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningCode1
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray ImagesCode1
Analysis of skin lesion images with deep learningCode1
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free AttentionCode1
Can AI help in screening Viral and COVID-19 pneumonia?Code1
DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modelingCode1
Byakto Speech: Real-time long speech synthesis with convolutional neural network: Transfer learning from English to BanglaCode1
Calibration-free online test-time adaptation for electroencephalography motor imagery decodingCode1
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?Code1
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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