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
Deep learning for affective computing: text-based emotion recognition in decision support—0
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-end Model—0
Transferable Pedestrian Motion Prediction Models at Intersections—0
Adversarial Data Programming: Using GANs to Relax the Bottleneck of Curated Labeled DataCode0
Coregionalised Locomotion Envelopes - A Qualitative Approach—0
General-Purpose Deep Point Cloud Feature ExtractorCode0
Transfer Learning with Neural AutoML—0
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification—0
LSTD: A Low-Shot Transfer Detector for Object DetectionCode0
Knowledge Transfer with Jacobian Matching—0
Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the WildCode0
Classification of breast cancer histology images using transfer learning—0
Attention-Aware Generative Adversarial Networks (ATA-GANs)—0
Discriminative Label Consistent Domain Adaptation—0
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
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
Universal Neural Machine Translation for Extremely Low Resource Languages—0
Paraphrasing Complex Network: Network Compression via Factor TransferCode0
Learning Robust and Adaptive Real-World Continuous Control Using Simulation and Transfer Learning—0
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control—0
One Deep Music Representation to Rule Them All? : A comparative analysis of different representation learning strategiesCode0
Gaussian Process Classification with Privileged Information by Soft-to-Hard Labeling Transfer—0
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
Practical Transfer Learning for Bayesian OptimizationCode0
Learning Image Representations by Completing Damaged Jigsaw Puzzles—0
Explicit Inductive Bias for Transfer Learning with Convolutional NetworksCode0
Cross-City Transfer Learning for Deep Spatio-Temporal Prediction—0
Goal-Oriented Chatbot Dialog Management Bootstrapping with Transfer Learning—0
Fusarium Damaged Kernels Detection Using Transfer Learning on Deep Neural Network Architecture—0
Document Image Classification with Intra-Domain Transfer Learning and Stacked Generalization of Deep Convolutional Neural NetworksCode0
Deep Learning Approach for Very Similar Objects Recognition Application on Chihuahua and Muffin ProblemCode0
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 Practitioners' Guide to Transfer Learning for Text Classification using Convolutional Neural NetworksCode0
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field—0
Deep Learning for Detecting Cyberbullying Across Multiple Social Media PlatformsCode0
Transfer Learning for Improving Speech Emotion Classification AccuracyCode0
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
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer LearningCode0
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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