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 201–250 of 10307 papers

TitleStatusHype
BioREx: Improving Biomedical Relation Extraction by Leveraging Heterogeneous DatasetsCode1
Bilevel Continual LearningCode1
BIOSCAN-5M: A Multimodal Dataset for Insect BiodiversityCode1
Benchmarking Detection Transfer Learning with Vision TransformersCode1
Enhanced Gaussian Process Dynamical Models with Knowledge Transfer for Long-term Battery Degradation ForecastingCode1
Bert4XMR: Cross-Market Recommendation with Bidirectional Encoder Representations from TransformerCode1
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and MappingCode1
AVocaDo: Strategy for Adapting Vocabulary to Downstream DomainCode1
Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with UncertaintyCode1
Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake modelsCode1
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning ProcessesCode1
BadMerging: Backdoor Attacks Against Model MergingCode1
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement LearningCode1
A Whisper transformer for audio captioning trained with synthetic captions and transfer learningCode1
SentenceMIM: A Latent Variable Language ModelCode1
BARThez: a Skilled Pretrained French Sequence-to-Sequence ModelCode1
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy SearchCode1
Automatic identification of segmentation errors for radiotherapy using geometric learningCode1
Beyond Self-Supervision: A Simple Yet Effective Network Distillation Alternative to Improve BackbonesCode1
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-RefinementCode1
AutoTune: Automatically Tuning Convolutional Neural Networks for Improved Transfer LearningCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
Neuro2Semantic: A Transfer Learning Framework for Semantic Reconstruction of Continuous Language from Human Intracranial EEGCode1
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion PerceptionCode1
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G NetworksCode1
Boosting Weakly Supervised Object Detection with Progressive Knowledge TransferCode1
2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data SetsCode1
Breaking the Data Barrier -- Building GUI Agents Through Task GeneralizationCode1
Bridge Correlational Neural Networks for Multilingual Multimodal Representation LearningCode1
Bridge to Target Domain by Prototypical Contrastive Learning and Label Confusion: Re-explore Zero-Shot Learning for Slot FillingCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark for Short-Term Load ForecastingCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
Active Transfer Learning for Efficient Video-Specific Human Pose EstimationCode1
Auxiliary Signal-Guided Knowledge Encoder-Decoder for Medical Report GenerationCode1
CALIP: Zero-Shot Enhancement of CLIP with Parameter-free AttentionCode1
Can LLMs' Tuning Methods Work in Medical Multimodal Domain?Code1
Can LLM Watermarks Robustly Prevent Unauthorized Knowledge Distillation?Code1
Bag of Tricks for Image Classification with Convolutional Neural NetworksCode1
BiToD: A Bilingual Multi-Domain Dataset For Task-Oriented Dialogue ModelingCode1
Authorship Style Transfer with Policy OptimizationCode1
AdaBoost-CNN: An adaptive boosting algorithm for convolutional neural networks to classify multi-class imbalanced datasets using transfer learningCode1
Chaos as an interpretable benchmark for forecasting and data-driven modellingCode1
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric ModelsCode1
Chip Placement with Deep Reinforcement LearningCode1
Choquet Integral and Coalition Game-based Ensemble of Deep Learning Models for COVID-19 Screening from Chest X-ray ImagesCode1
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural NetworksCode1
Classification of Epithelial Ovarian Carcinoma Whole-Slide Pathology Images Using Deep Transfer LearningCode1
Class-relation Knowledge Distillation for Novel Class DiscoveryCode1
A unified scalable framework for causal sweeping strategies for Physics-Informed Neural Networks (PINNs) and their temporal decompositionsCode1
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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