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 9151–9200 of 10307 papers

TitleStatusHype
Transfer Learning in Brain-Computer Interfaces with Adversarial Variational Autoencoders—0
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set—0
PAC Learning Guarantees Under Covariate Shift—0
Deep UL2DL: Channel Knowledge Transfer from Uplink to DownlinkCode0
Action Quality Assessment Across Multiple ActionsCode0
Few-shot classification in Named Entity Recognition TaskCode0
Combating Uncertainty with Novel Losses for Automatic Left Atrium Segmentation—0
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal TrainingCode0
Transfer learning to model inertial confinement fusion experiments—0
When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets—0
Dynamic Transfer Learning for Named Entity Recognition—0
Considering Race a Problem of Transfer Learning—0
Transfer Learning using Representation Learning in Massive Open Online Courses—0
Towards Ophthalmologist Level Accurate Deep Learning System for OCT Screening and Diagnosis—0
ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features—0
Secure Federated Transfer Learning—0
Efficient transfer learning and online adaptation with latent variable models for continuous control—0
Deep Variational Transfer: Transfer Learning through Semi-supervised Deep Generative Models—0
PIRC Net : Using Proposal Indexing, Relationships and Context for Phrase Grounding—0
Disjoint Label Space Transfer Learning with Common Factorised Space—0
A Survey of Unsupervised Deep Domain AdaptationCode0
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation—0
ADARES: Adaptive Resource Management for Virtual Machines—0
An Embarrassingly Simple Approach for Knowledge DistillationCode0
Playing Text-Adventure Games with Graph-Based Deep Reinforcement LearningCode0
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks—0
A novel database of Children's Spontaneous Facial Expressions (LIRIS-CSE)—0
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning—0
Channel-wise pruning of neural networks with tapering resource constraint—0
A Hybrid Instance-based Transfer Learning Method—0
Learning to Unlearn: Building Immunity to Dataset Bias in Medical Imaging Studies—0
Crowd Sourcing based Active Learning Approach for Parking Sign Recognition—0
Clinical Document Classification Using Labeled and Unlabeled Data Across Hospitals—0
GLoMo: Unsupervised Learning of Transferable Relational Graphs—0
Learning Curriculum Policies for Reinforcement LearningCode0
Model-Agnostic Private Learning—0
Adapted Deep Embeddings: A Synthesis of Methods for k-Shot Inductive Transfer LearningCode0
Improving Japanese semantic-role-labeling performance with transfer learning as case for limited resources of tagged corpora on aggregated language—0
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes—0
Scalable Hyperparameter Transfer Learning—0
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning—0
Cross-database non-frontal facial expression recognition based on transductive deep transfer learning—0
Corresponding Projections for Orphan ScreeningCode0
On the Transferability of Representations in Neural Networks Between Datasets and Tasks—0
AI based Safety System for Employees of Manufacturing Industries in Developing Countries—0
Cross-domain Deep Feature Combination for Bird Species Classification with Audio-visual Data—0
Multi-task Learning over Graph Structures—0
ExpandNets: Linear Over-parameterization to Train Compact Convolutional Networks—0
Learning Sound Events From Webly Labeled DataCode0
Characterizing and Avoiding Negative Transfer—0
Show:102550
← PrevPage 184 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