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 4051–4100 of 10307 papers

TitleStatusHype
Few-Shot Nested Named Entity Recognition—0
Genomic Language Models: Opportunities and Challenges—0
Few-Shot Object Detection via Knowledge Transfer—0
Few-Shot Object Detection with Sparse Context Transformers—0
Global Extreme Heat Forecasting Using Neural Weather Models—0
A Close Look at Few-shot Real Image Super-resolution from the Distortion Relation Perspective—0
Decoding Working-Memory Load During n-Back Task Performance from High Channel NIRS Data—0
Automated Scoring of Clinical Expressive Language Evaluation Tasks—0
A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets—0
Few-Shot Transfer Learning for Individualized Braking Intent Detection on Neuromorphic Hardware—0
Conditional Neural Processes for Molecules—0
Few-shot Unified Question Answering: Tuning Models or Prompts?—0
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets—0
FEWS: Large-Scale, Low-Shot Word Sense Disambiguation with the Dictionary—0
FGLP: A Federated Fine-Grained Location Prediction System for Mobile Users—0
Decision Support System for Detection and Classification of Skin Cancer using CNN—0
Aspect-Based Sentiment Analysis and Singer Name Entity Recognition using Parameter Generation Network Based Transfer Learning—0
FiGKD: Fine-Grained Knowledge Distillation via High-Frequency Detail Transfer—0
Automated Pruning for Deep Neural Network Compression—0
Filtered Inner Product Projection for Crosslingual Embedding Alignment—0
Filtered Manifold Alignment—0
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning—0
Financial Aspect-Based Sentiment Analysis using Deep Representations—0
Finding Answers from the Word of God: Domain Adaptation for Neural Networks in Biblical Question Answering—0
A multilingual training strategy for low resource Text to Speech—0
Findings of the Covid-19 MLIA Machine Translation Task—0
Finding the Most Transferable Tasks for Brain Image Segmentation—0
Generalized User Representations for Transfer Learning—0
Deciphering and Optimizing Multi-Task Learning: a Random Matrix Approach—0
Fine-grained domain classification using Transformers—0
Confidence Preserving Machine for Facial Action Unit Detection—0
Deception Detection with Feature-Augmentation by soft Domain Transfer—0
Automated PII Extraction from Social Media for Raising Privacy Awareness: A Deep Transfer Learning Approach—0
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery—0
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions—0
Fine-Grained Temporal Relation Extraction—0
Fine-grained Temporal Relation Extraction with Ordered-Neuron LSTM and Graph Convolutional Networks—0
Fine-Grained Vehicle Classification with Unsupervised Parts Co-occurrence Learning—0
Decentralized Federated Learning via Mutual Knowledge Transfer—0
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification—0
FINETUNA: Fine-tuning Accelerated Molecular Simulations—0
Fine-tuned Generative Adversarial Network-based Model for Medical Image Super-Resolution—0
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation—0
Adaptive Transfer Learning for Multi-Label Emotion Classification—0
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection—0
Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression—0
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance—0
Multilingual Approach to Joint Speech and Accent Recognition with DNN-HMM Framework—0
DEArt: Dataset of European Art—0
Adaptive Transfer Learning: a simple but effective transfer 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