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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 9551–9600 of 10307 papers

TitleStatusHype
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Comparison of Semantic Segmentation Approaches for Horizon/Sky Line Detection—0
Morphological analysis using a sequence decoderCode0
Accelerated Bayesian Optimization throughWeight-Prior Tuning—0
Object Localization with a Weakly Supervised CapsNet—0
SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning ComprehensionCode0
Learning Time-Sensitive Strategies in Space FortressCode0
Cross-domain attribute representation based on convolutional neural network—0
Optimization of Transfer Learning for Sign Language Recognition Targeting Mobile Platform—0
A La Carte Embedding: Cheap but Effective Induction of Semantic Feature VectorsCode0
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learningCode0
Active Semi-supervised Transfer Learning (ASTL) for Offline BCI Calibration—0
Exploring object-centric and scene-centric CNN features and their complementarity for human rights violations recognition in imagesCode0
Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge TransferCode0
Semi-Supervised Domain Adaptation with Representation Learning for Semantic Segmentation across Time—0
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations—0
Image Based Fashion Product Recommendation with Deep Learning—0
DocFace: Matching ID Document Photos to SelfiesCode0
Transfer Learning of Artist Group Factors to Musical Genre ClassificationCode0
Multi-label Learning Based Deep Transfer Neural Network for Facial Attribute Classification—0
Fast and Scalable Expansion of Natural Language Understanding Functionality for Intelligent Agents—0
Exploring the Limits of Weakly Supervised PretrainingCode0
Boosting Self-Supervised Learning via Knowledge Transfer—0
A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts—0
KIT-Multi: A Translation-Oriented Multilingual Embedding Corpus—0
Improving Machine Translation of Educational Content via Crowdsourcing—0
Tel(s)-Telle(s)-Signs: Highly Accurate Automatic Crosslingual Hypernym Discovery—0
Simple Semantic Annotation and Situation Frames: Two Approaches to Basic Text Understanding in LORELEI—0
English-Basque Statistical and Neural Machine Translation—0
Sketch-a-Classifier: Sketch-based Photo Classifier Generation—0
Unsupervised Cross-Modality Domain Adaptation of ConvNets for Biomedical Image Segmentations with Adversarial LossCode0
A Unified Framework for Domain Adaptation using Metric Learning on ManifoldsCode0
Deep learning approach to Fourier ptychographic microscopyCode0
Decoupling Dynamics and Reward for Transfer LearningCode0
Capsule networks for low-data transfer learning—0
Better and Faster: Knowledge Transfer from Multiple Self-supervised Learning Tasks via Graph Distillation for Video Classification—0
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification—0
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition—0
Deep cross-domain building extraction for selective depth estimation from oblique aerial imagery—0
Dropping Networks for Transfer Learning—0
Taskonomy: Disentangling Task Transfer LearningCode0
A New Channel Boosted Convolutional Neural Network using Transfer Learning—0
Light-weight Head Pose Invariant Gaze Tracking—0
Towards Symbolic Reinforcement Learning with Common SenseCode0
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks—0
Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion RateCode0
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity—0
CactusNets: Layer Applicability as a Metric for Transfer Learning—0
Robustness via Deep Low-Rank Representations—0
Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization—0
Show:102550
← PrevPage 192 of 207Next →
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