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 3451–3500 of 10307 papers

TitleStatusHype
Multiview Contrastive Learning for Unsupervised Domain Adaptation in Brain–Computer Interfaces—0
Data Augmentation and Transfer Learning Approaches Applied to Facial Expressions Recognition—0
Evaluation of Activated Sludge Settling Characteristics from Microscopy Images with Deep Convolutional Neural Networks and Transfer LearningCode0
Subgraph Pooling: Tackling Negative Transfer on GraphsCode0
Few-Shot Object Detection with Sparse Context Transformers—0
How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories—0
Multi-Hierarchical Surrogate Learning for Structural Dynamical Crash Simulations Using Graph Convolutional Neural Networks—0
Enabling Multi-Agent Transfer Reinforcement Learning via Scenario Independent Representation—0
Bayesian Multi-Task Transfer Learning for Soft Prompt TuningCode0
Convolutional Neural Networks Towards Facial Skin Lesions Detection—0
Comparative Analysis of ImageNet Pre-Trained Deep Learning Models and DINOv2 in Medical Imaging ClassificationCode0
Text Detoxification as Style Transfer in English and HindiCode0
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
An Optimization Framework for Processing and Transfer Learning for the Brain Tumor SegmentationCode0
Should I try multiple optimizers when fine-tuning pre-trained Transformers for NLP tasks? Should I tune their hyperparameters?—0
Transfer learning with generative models for object detection on limited datasets—0
Embedding Compression for Teacher-to-Student Knowledge Transfer—0
BarlowTwins-CXR : Enhancing Chest X-Ray abnormality localization in heterogeneous data with cross-domain self-supervised learning—0
Transferring facade labels between point clouds with semantic octrees while considering change detectionCode0
Attention-Enhanced Prioritized Proximal Policy Optimization for Adaptive Edge Caching—0
Text-to-Code Generation with Modality-relative Pre-training—0
Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning—0
Symbol Correctness in Deep Neural Networks Containing Symbolic Layers—0
Scaling Laws for Downstream Task Performance of Large Language Models—0
Enhancing textual textbook question answering with large language models and retrieval augmented generationCode0
Constrained Decoding for Cross-lingual Label ProjectionCode0
Survival and grade of the glioma prediction using transfer learning—0
Online Transfer Learning for RSV Case Detection—0
Enhancing the efficiency of protein language models with minimal wet-lab data through few-shot learning—0
Precise Knowledge Transfer via Flow Matching—0
Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German VarietiesCode0
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models—0
Transfer Learning in ECG Diagnosis: Is It Effective?Code0
InceptionCapsule: Inception-Resnet and CapsuleNet with self-attention for medical image Classification—0
Double-Dip: Thwarting Label-Only Membership Inference Attacks with Transfer Learning and Randomization—0
Speech foundation models in healthcare: Effect of layer selection on pathological speech feature predictionCode0
Cooperative Knowledge Distillation: A Learner Agnostic ApproachCode0
Domain-Independent Deception: A New Taxonomy and Linguistic Analysis—0
Disentangling the Roles of Target-Side Transfer and Regularization in Multilingual Machine Translation—0
Control-Theoretic Techniques for Online Adaptation of Deep Neural Networks in Dynamical Systems—0
MelNet: A Real-Time Deep Learning Algorithm for Object Detection—0
Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks—0
Transfer Learning for Text Diffusion Models—0
Multiple Yield Curve Modeling and Forecasting using Deep Learning—0
Adapting Amidst Degradation: Cross Domain Li-ion Battery Health Estimation via Physics-Guided Test-Time Training—0
Capturing Pertinent Symbolic Features for Enhanced Content-Based Misinformation DetectionCode0
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling—0
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud SegmentationCode0
Domain adaptation strategies for 3D reconstruction of the lumbar spine using real fluoroscopy data—0
MV2MAE: Multi-View Video Masked Autoencoders—0
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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