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 7201–7250 of 10307 papers

TitleStatusHype
Task Adaptation of Reinforcement Learning-based NAS Agents through Transfer Learning—0
Task-Attentive Transformer Architecture for Continual Learning of Vision-and-Language Tasks Using Knowledge Distillation—0
Task-aware Adaptive Learning for Cross-domain Few-shot Learning—0
TASK AWARE MULTI-TASK LEARNING FOR SPEECH TO TEXT TASKS—0
Task-Aware Representation of Sentences for Generic Text Classification—0
Task-Driven Common Representation Learning via Bridge Neural Network—0
Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation—0
TATL: Task Agnostic Transfer Learning for Skin Attributes Detection—0
Taxonomy Construction of Unseen Domains via Graph-based Cross-Domain Knowledge Transfer—0
Taxy.io@FinTOC-2020: Multilingual Document Structure Extraction using Transfer Learning—0
Tchebichef Transform Domain-based Deep Learning Architecture for Image Super-resolution—0
tCURLoRA: Tensor CUR Decomposition Based Low-Rank Parameter Adaptation and Its Application in Medical Image Segmentation—0
Teacher Guided Training: An Efficient Framework for Knowledge Transfer—0
Teacher-student curriculum learning for reinforcement learning—0
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples—0
Teaching AI to Handle Exceptions: Supervised Fine-Tuning with Human-Aligned Judgment—0
Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer—0
Teaching with Uncertainty: Unleashing the Potential of Knowledge Distillation in Object Detection—0
Team Cogitat at NeurIPS 2021: Benchmarks for EEG Transfer Learning Competition—0
Team Innovators at SemEval-2022 for Task 8: Multi-Task Training with Hyperpartisan and Semantic Relation for Multi-Lingual News Article Similarity—0
Teamwork Dimensions Classification Using BERT—0
Technical Language Supervision for Intelligent Fault Diagnosis in Process Industry—0
TECM: Transfer Learning-based Evidential C-Means Clustering—0
TED-CDB: A Large-Scale Chinese Discourse Relation Dataset on TED Talks—0
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery—0
Temperate Fish Detection and Classification: a Deep Learning based Approach—0
Template Adaptation for Face Verification and Identification—0
Template-based Approach to Zero-shot Intent Recognition—0
Temporal Hockey Action Recognition via Pose and Optical Flows—0
Temporal Order Preserved Optimal Transport-based Cross-modal Knowledge Transfer Learning for ASR—0
Temporal Probabilistic Asymmetric Multi-task Learning—0
Ten Challenging Problems in Federated Foundation Models—0
Tensor Representation and Manifold Learning Methods for Remote Sensing Images—0
TenTrans Multilingual Low-Resource Translation System for WMT21 Indo-European Languages Task—0
Terabyte-scale supervised 3D training and benchmarking dataset of the mouse kidney—0
Terahertz Pulse Shaping Using Diffractive Surfaces—0
Terrain Classification using Transfer Learning on Hyperspectral Images: A Comparative study—0
Testing the Generalization Power of Neural Network Models Across NLI Benchmarks—0
Test-time Adaptation for Real Image Denoising via Meta-transfer Learning—0
Text-Aware Adapter for Few-Shot Keyword Spotting—0
Text-Driven Image Manipulation via Semantic-Aware Knowledge Transfer—0
Text Generation Models for Luxembourgish with Limited Data: A Balanced Multilingual Strategy—0
Textile Analysis for Recycling Automation using Transfer Learning and Zero-Shot Foundation Models—0
Text mining policy: Classifying forest and landscape restoration policy agenda with neural information retrieval—0
Text recognition on images using pre-trained CNN—0
Text-Speech Language Models with Improved Cross-Modal Transfer by Aligning Abstraction Levels—0
Text-to-Code Generation with Modality-relative Pre-training—0
Text-to-Speech for Under-Resourced Languages: Phoneme Mapping and Source Language Selection in Transfer Learning—0
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning—0
ThangDLU at #SMM4H 2024: Encoder-decoder models for classifying text data on social disorders in children and adolescents—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