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 9651–9700 of 10307 papers

TitleStatusHype
Continual Lifelong Learning with Neural Networks: A Review—0
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative DiseasesCode0
Sim-to-Real Optimization of Complex Real World Mobile Network with Imperfect Information via Deep Reinforcement Learning from Self-play—0
Learning Adversarially Fair and Transferable RepresentationsCode0
HWNet v2: An Efficient Word Image Representation for Handwritten Documents—0
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing—0
Universal Neural Machine Translation for Extremely Low Resource Languages—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
Putting a bug in ML: The moth olfactory network learns to read MNISTCode0
Paraphrasing Complex Network: Network Compression via Factor TransferCode0
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control—0
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning—0
Gaussian Process Classification with Privileged Information by Soft-to-Hard Labeling Transfer—0
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategiesCode0
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks—0
Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning—0
Combinets: Creativity via Recombination of Neural Networks—0
Learning Image Representations by Completing Damaged Jigsaw Puzzles—0
Practical Transfer Learning for Bayesian OptimizationCode0
Explicit Inductive Bias for Transfer Learning with Convolutional NetworksCode0
Active, Continual Fine Tuning of Convolutional Neural Networks for Reducing Annotation EffortsCode1
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning—0
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction—0
Fusarium Damaged Kernels Detection Using Transfer Learning on Deep Neural Network Architecture—0
Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin ProblemCode0
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural NetworksCode0
Combining Convolution and Recursive Neural Networks for Sentiment Analysis—0
Personalized Human Activity Recognition Using Convolutional Neural Networks—0
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice—0
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field—0
Deep Learning for Detecting Cyberbullying Across Multiple Social Media PlatformsCode0
A Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural NetworksCode0
Transfer Learning for Improving Speech Emotion Classification AccuracyCode0
Universal Language Model Fine-tuning for Text ClassificationCode3
Smile detection in the wild based on transfer learning—0
Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics—0
Feature Space Transfer for Data Augmentation—0
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches—0
Weakly Supervised One-Shot Detection with Attention Similarity Networks—0
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer LearningCode0
Recognizing Material Properties from Images—0
Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection—0
CityTransfer: Transferring Inter- and Intra-City Knowledge for Chain Store Site Recommendation based on Multi-Source Urban DataCode0
HeNet: A Deep Learning Approach on Intel^ Processor Trace for Effective Exploit Detection—0
Sample-Efficient Reinforcement Learning through Transfer and Architectural Priors—0
Using reinforcement learning to learn how to play text-based gamesCode0
Optimal Bayesian Transfer Learning—0
Grouping-By-ID: Guarding Against Adversarial Domain Shifts—0
Joint autoencoders: a flexible meta-learning framework—0
Autonomous Vehicle Fleet Coordination With Deep Reinforcement Learning—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