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 851–900 of 10307 papers

TitleStatusHype
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation LearningCode1
Exploring Neural Models for Query-Focused SummarizationCode1
CLIP-Lite: Information Efficient Visual Representation Learning with Language SupervisionCode1
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language TasksCode1
Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual LearningCode1
Multinational Address Parsing: A Zero-Shot EvaluationCode1
PointCLIP: Point Cloud Understanding by CLIPCode1
SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and EditingCode1
TransBoost: A Boosting-Tree Kernel Transfer Learning Algorithm for Improving Financial InclusionCode1
Transferring Unconditional to Conditional GANs with Hyper-ModulationCode1
Self-Supervised Material and Texture Representation Learning for Remote Sensing TasksCode1
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled SamplesCode1
Active Learning for Domain Adaptation: An Energy-Based ApproachCode1
OW-DETR: Open-world Detection TransformerCode1
PartImageNet: A Large, High-Quality Dataset of PartsCode1
Contrastive Cross-domain Recommendation in MatchingCode1
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?Code1
Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge DistillationCode1
Towards Robust and Adaptive Motion Forecasting: A Causal Representation PerspectiveCode1
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated LearningCode1
Classification of animal sounds in a hyperdiverse rainforest using Convolutional Neural NetworksCode1
Transfer Learning with Jukebox for Music Source SeparationCode1
VL-LTR: Learning Class-wise Visual-Linguistic Representation for Long-Tailed Visual RecognitionCode1
Domain Prompt Learning for Efficiently Adapting CLIP to Unseen DomainsCode1
Semi-Supervised Learning with Taxonomic LabelsCode1
CytoImageNet: A large-scale pretraining dataset for bioimage transfer learningCode1
Florence: A New Foundation Model for Computer VisionCode1
SSR: An Efficient and Robust Framework for Learning with Unknown Label NoiseCode1
Benchmarking Detection Transfer Learning with Vision TransformersCode1
Merging Models with Fisher-Weighted AveragingCode1
RoBERTuito: a pre-trained language model for social media text in SpanishCode1
Improving Transferability of Representations via Augmentation-Aware Self-SupervisionCode1
Benchmarking and scaling of deep learning models for land cover image classificationCode1
Training Neural Networks with Fixed Sparse MasksCode1
Rethinking Drone-Based Search and Rescue with Aerial Person DetectionCode1
Grounding Psychological Shape Space in Convolutional Neural NetworksCode1
Continual Learning via Local Module CompositionCode1
Scalable Diverse Model Selection for Accessible Transfer LearningCode1
On Transferability of Prompt Tuning for Natural Language ProcessingCode1
TAGLETS: A System for Automatic Semi-Supervised Learning with Auxiliary DataCode1
Improved Regularization and Robustness for Fine-tuning in Neural NetworksCode1
Reinforcement Learning for Mixed Autonomy IntersectionsCode1
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language ModelingCode1
MT3: Multi-Task Multitrack Music TranscriptionCode1
Generalized Radiograph Representation Learning via Cross-supervision between Images and Free-text Radiology ReportsCode1
Parameterized Knowledge Transfer for Personalized Federated LearningCode1
Callee: Recovering Call Graphs for Binaries with Transfer and Contrastive LearningCode1
Multi-Domain Multilingual Question AnsweringCode1
Lifelong Event Detection with Knowledge TransferCode1
ParsTwiNER: A Corpus for Named Entity Recognition at Informal PersianCode1
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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